CN113003619A - IOT-based system - Google Patents

IOT-based system Download PDF

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Publication number
CN113003619A
CN113003619A CN201911317418.4A CN201911317418A CN113003619A CN 113003619 A CN113003619 A CN 113003619A CN 201911317418 A CN201911317418 A CN 201911317418A CN 113003619 A CN113003619 A CN 113003619A
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China
Prior art keywords
sensor data
groundwater
contamination
screen
purification
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CN201911317418.4A
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Chinese (zh)
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赵诚国
赵诚喜
吴明光
李相懽
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Xiaolin Co ltd
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Xiaolin Co ltd
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    • C—CHEMISTRY; METALLURGY
    • C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F1/00—Treatment of water, waste water, or sewage
    • C02F1/008—Control or steering systems not provided for elsewhere in subclass C02F
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • C—CHEMISTRY; METALLURGY
    • C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2103/00—Nature of the water, waste water, sewage or sludge to be treated
    • C02F2103/06—Contaminated groundwater or leachate

Abstract

An IoT-based system. An IoT-based system for measuring a pollution distribution of polluted groundwater by monitoring a pollution level of the polluted groundwater well in real time to control a polluted groundwater purification apparatus and predicting a purification cycle based on the measurement result is disclosed. The IoT-based system, which measures a pollution distribution of contaminated groundwater by monitoring a degree of pollution of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicts a purification cycle based on the measurement result, monitors the groundwater well in real time based on sensor data collected from the contaminated groundwater well during purification of contaminated groundwater present underground, measures the pollution distribution of contaminated groundwater based on the monitoring result, controls the contaminated groundwater purification apparatus, and predicts the purification cycle based on the measurement result, thereby effectively purifying the contaminated groundwater.

Description

IOT-based system
Technical Field
The present invention relates to an IoT-based system for measuring a pollution distribution of contaminated groundwater to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result by monitoring the degree of pollution of a contaminated groundwater well in real time, and more particularly, to an IoT-based system for measuring a pollution distribution of contaminated groundwater to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result by monitoring the degree of pollution of a contaminated groundwater well in real time, which monitors an underground water well in real time based on sensor data collected from the polluted underground water well during purification of polluted underground water existing in the ground, measures a pollution distribution of the polluted underground water based on the monitoring result, controls a polluted underground water purification apparatus, and predicts a purification cycle based on the measurement result, thereby effectively purifying the polluted underground water.
Background
Generally, groundwater is water that is formed when a portion of rainwater seeps from the earth's surface into cracks in the soil, reaches a water impermeable layer, and accumulates in that layer. Moisture is also present above the groundwater level. In the case where the passage in the soil is small, the groundwater rises as capillary water toward the surface layer and is absorbed at the roots of the plants. Groundwater may be severely contaminated by nearby military camps, gas stations, factories, etc. in a short period of time. Therefore, immediate purification of groundwater in the soil contaminated area is required. Examples of common ground water purification methods include a method of excavating and taking out contaminated soil and pumping the contaminated ground water, a method of excavating water injection wells and water pumping wells in a contaminated area to extract contaminants and inject microorganisms, nutrients, and chemical treatment agents, and the like.
In this case, it is necessary to automatically adjust the amount of the injected depurative in consideration of the degree of contamination and inject the depurative in the direction in which the contaminants move along the flow of the groundwater during the depurating process.
In addition, since the elution and movement of contaminants from the groundwater into the surrounding medium is invisible and complex, it is very difficult to observe the extent and degree of contamination and predict the movement of contaminants. Therefore, there is a need to monitor and track the extent and extent of contamination.
In addition, the purification process is controlled in consideration of various physical, chemical and biological characteristics of soil and groundwater. Therefore, in order to predict the movement of contaminants and successfully purify soil and groundwater, it is important to accurately know physical characteristics (e.g., density, water permeability, water content, diffusion, flow rate, etc.), chemical characteristics (e.g., pH, conductivity, oxidation-reduction potential, cation exchange capacity, organic carbon/nitrogen, organic matter content, etc.) and biological characteristics (e.g., microbial species/colony distribution, biomass, etc.) of soil and groundwater through sampling and monitoring thereof and to perform a purification process based on the sampling and monitoring results.
In addition, during the process of purifying contaminated groundwater present underground, it is necessary to not only monitor the degree of contamination of groundwater and the degree of purification thereof in real time, but also predict the total purification period required to complete the purification by checking the degree of contamination after a certain period of time.
In addition, it is required to develop a system for automatically controlling a purification apparatus, which is capable of adjusting the amount of pumped groundwater and controlling a purification process by checking the extent and degree of contamination in real time and monitoring the purification process.
Hereinafter, some examples of conventional technologies related to a system for monitoring a degree of contamination of an underground water well and controlling a contaminated underground water purification apparatus in real time will be described. Korean patent registration No.10-1248848 (3/25/2013) discloses a system for monitoring soil and groundwater environment in real time. The system comprises: a state measurement sensor unit installed at least one observation site and measuring states of soil and groundwater at the observation site to generate state information; an observation point monitoring unit connected to the state measurement sensor unit and monitoring state information; a remote monitoring server receiving status information monitored by the respective observation site monitoring units and providing the status information to a user through a User Interface (UI); and at least one portable terminal which is registered in the remote monitoring server and receives the message. The observation site monitoring unit includes: a state information collecting unit which receives and stores state information generated by the state measuring sensor unit in real time, and simultaneously transmits the stored state information to the remote monitoring server; an observation point information storage unit that stores information about an ambient environment of an observation point; an information providing unit that provides state information and information on a surrounding environment; an operation mode control unit which controls the state information collecting unit and the information storing unit to selectively provide the state information or the information on the surrounding environment to the information providing unit according to an administrator mode or a user mode; and a power supply unit that supplies power to the state measurement sensor unit and the observation point monitoring unit. The state information collecting unit includes: a state information storage module storing state information received from the state measurement sensor unit; a communication module that wirelessly transmits the state information stored in the state information storage module to a remote monitoring server; a control module which controls the state measurement sensor unit to operate according to a setting input value including any one of time, temperature, and rainfall, and turns on and off the state measurement sensor unit to minimize power consumption; and a state information comparison module comparing the state information generated by the state measurement sensor unit with preset state information. The state information comparison module transmits an alarm to the remote monitoring server through the communication module when the state information generated by the state measurement sensor unit falls outside a predetermined range of preset state information. Alternatively, the state information comparison module compares the generated state information with each of a plurality of pieces of preset user-based state information. When the generated state information falls outside a predetermined range of preset user-based state information, the state information comparison module transmits a corresponding user-based alarm to the remote monitoring server, so that an alarm message is transmitted to a corresponding one of the portable terminals registered in advance in the remote monitoring server. When the observation point monitoring unit operates in the user mode, the operation mode control unit controls the information providing unit to display the state information and the information on the surrounding environment. When the observation point monitoring unit operates in the administrator mode, the operation mode control unit controls the information providing unit to enable an administrator to edit the state information and the information on the surrounding environment stored in the state information collecting unit and the observation point information storing unit, respectively.
Korean patent registration No.10-0978939 (24/8/2010) discloses a remote monitoring system for purifying multiply contaminated groundwater. The system includes a multi-contaminated groundwater purification apparatus, a remote terminal apparatus, a wired-wireless network, a communication control apparatus (or Field Interface Unit (FIU)), and a centralized remote monitoring system. The multiple contaminated groundwater purification apparatus comprises: a sediment-oil-water separation tank into which deep well groundwater or excavated groundwater contaminated with various contaminants such as organic contaminants and heavy metals is pumped, and which separates sand and/or inorganic impurities having a high specific gravity contained in the contaminated groundwater pumped into the inflow pipe and removes at least one oil selected from the group consisting of diesel oil, kerosene and Total Petroleum Hydrocarbons (TPH) using gravity; a water collection tank temporarily storing contaminated groundwater introduced thereinto at a predetermined level; a chemical reaction/inclined plate precipitation tank mixing at least one heavy metal selected from the group consisting of Al, Fe, Cr, Cd, Cu, Pb, Hg, As, Ni and Zn, CN, n-Hexane (n-Hexane), extract, suspension (SS) or precipitate contained in contaminated groundwater introduced from the water collection tank with chemicals supplied from a chemical storage tank in the chemical reaction unit, thereby depositing and removing the above materials through chemical reaction, neutralization and combination, and depositing and removing fine precipitate using inclined plates of the inclined plate precipitation unit; a flotation gas removal tank which injects microbubbles generated by the low pressure microbubble generation device into contaminated groundwater introduced from the chemical reaction/inclined plate precipitation tank, diffuses the microbubbles into a flotation unit of the flotation gas removal tank to separate at least one oil selected from diesel, kerosene, and Total Petroleum Hydrocarbons (TPH), at least one Volatile Organic Compound (VOC) selected from BTEX (benzene, toluene, ethylbenzene, and xylene), phenol, Trichloroethylene (TCE), and tetrachloroethylene (PCE), remaining fine suspended matter (SS), or n-hexane extract by flotation, deaerates the VOC by maximizing a specific surface area thereof using a deaeration unit including a horizontal stripper and a demister filled with a polypropylene packing, and then absorbs the VOC using activated carbon in an activated carbon tower; and an advanced oxidation process tank, particularly for treating groundwater introduced from the flotation degassing tank to a mass corresponding to residential water, configured to inject ozone (O3) into the groundwater so as to perform purification (e.g., oxidation process, decoloring and deodorization) on a remaining fine n-hexane extract, at least one oil selected from diesel oil, kerosene and Total Petroleum Hydrocarbons (TPH) and/or at least one Volatile Organic Compound (VOC) selected from BTEX (benzene, toluene, ethylbenzene and xylene), phenol, Trichloroethylene (TCE) and tetrachloroethylene (PCE) through an ozone advanced oxidation process (ozone AOP), thereby re-injecting or discharging the purified groundwater into a corresponding site. The remote terminal device is connected to a controller, a monitoring camera and a water quality measuring instrument installed on at least one of a sediment-oil-water separation tank, a water collection tank, a chemical reaction/inclined plate settling tank, a flotation gas removal tank or an advanced oxidation process tank of the multi-polluted underground water purification apparatus, and transmits data to or receives a control command from a centralized remote monitoring control system, thereby performing real-time control. The wired-wireless network is connected to and performs data communication with a data communication unit of a remote terminal apparatus. The communication control device (or Field Interface Unit (FIU)) is connected to a wired-wireless network and relays data communication between the remote terminal device and the centralized remote monitoring control system. The centralized remote monitoring control system includes a remote manager interface which transmits or receives information on the multi-contaminated groundwater purification apparatus to or from a manager.
Korean patent registration No.10-1792808 (10/26/2017) discloses a remote control in-situ treatment system for contaminated groundwater. The system comprises: an extraction step (S100) of extracting groundwater from the ground; a separation step (S200) of separating a liquid phase and a gas phase in the extracted groundwater using a gas-liquid separator; a monitoring step (S300) of monitoring the separated extracted water; an information transmission step (S400) of transmitting the monitored information to the controller; an analysis step (S500) for analyzing the transmitted information; a purifying agent injection step (S600) of injecting a purifying agent based on the analyzed information; an extracted groundwater treatment step (S700) of purifying the extracted groundwater that has been completely analyzed by monitoring; a nanoscale zero-valent iron collection step (S800) of collecting nanoscale zero-valent iron from the treated groundwater by magnetic separation; a discharging step (S900) of discharging the completely purified groundwater; and a management step (S1000) for organizing and managing the above steps by a table. The monitoring step (S300) includes TPH monitoring, TVOC monitoring, BTEX, TCE and PCE monitoring, and nitrate/ammonium salt monitoring. In the depurative injection step (S600), nanoscale zero-valent iron, microorganisms, nutrients, oxidants, catalysts, or surfactants are selectively injected as the depurative in consideration of the type of the contaminant and the characteristics of the soil. In the extraction groundwater treatment step (S700), the gas and liquid separated by the gas-liquid separator are monitored by a gas analyzer and a water quality analyzer, respectively. The gas is collected in an absorption tower using activated carbon so that the concentration of pollution thereof is reduced and discharged to the atmosphere. The liquid is subjected to water treatment in the depurative injection step (S600). In the nanoscale zero-valent iron collecting step (S800), nanoscale zero-valent iron contained in the injected depurative is collected by magnetic separation from the treated groundwater that has passed the extraction groundwater treatment step (S700). The fully monitored extracted groundwater in the sample tank and the additional groundwater in the drain tank is diverted to the water treatment system. The water treatment system consists of a nano reactor and a magnetic separation and collection device. Nanoscale zero-valent iron whose surface is modified by a scavenger CMC-nZVI (CMC (carboxymethylcellulose)), nanoscale zero-valent iron whose surface is modified by TPPnFe0(TPP (tetrapolyphosphate)), biomagnetic iron (magnetite produced using Clostridium sp.), biological FeS (FeS synthesized by a local microorganism using tailings from retired ores), nano Fe3O4, Fe3O4@ MAA (methacrylic acid), Fe3O4@ al (oh)3, Fe3O4@ SiO2, a microorganism, a nutrient, an oxidant, a catalyst, or a surfactant is selectively injected in consideration of the type of pollutant and the characteristics of soil. The groundwater reacts with nanoscale zero-valent iron in the nanoreactor to be purified and is transferred to a magnetic separation and collection device. The nanoscale zero-valent iron is collected by a magnetic separation collection device and transferred to a chemical tank in an automatic decontaminant injection system to be recovered. The management step (S1000) is a step of organizing the steps (S100 to S900) by a table and managing the same. In the management step (S1000), data analyzed by the gas analyzer and the water quality analyzer in the monitoring step (S300) is collected and analyzed, and the injection of the purifying agent may be controlled at the purifying site using a control PC installed with a PLC program in consideration of the analyzed information reception data in the purifying agent injection step (S600). Further, even if the worker is not at the purification site, data can be remotely received via the smartphone and control can be performed.
Korean patent registration No.10-1276538 (6/13/2013) discloses an apparatus for decontaminating contaminated soil. The apparatus includes a plurality of wells installed in contaminated soil, an air injection device, a liquid chemical supply device, a contaminant extraction device, a switching valve box, a main header, and a monitoring unit. The air injection device includes: an air compressor installed outside each well and generating compressed air to inject the compressed air into each well, thereby forming fine cracks in contaminated soil by air pressure; a blower configured to increase a pressure of the compressed air and supply it to each well; and a motor configured to drive the blower. The liquid chemical supply device includes: a liquid chemical tank installed outside each well and storing liquid chemicals so as to supply the liquid chemicals to each well through fine cracks to purify contaminated soil; and a liquid chemical supply pump configured to supply liquid chemicals to the respective wells. The pollutant extraction device comprises: a pumping motor installed outside each well and discharging the contaminants contained in the contaminated soil and contaminated groundwater together with liquid chemicals for purifying the contaminated soil; a blower configured to generate a pumping force for pumping the contaminants and the contaminated groundwater from the respective wells and discharge the pumped contaminants and the contaminated groundwater to the outside using a driving force of a pumping motor; and a sludge tank configured to contain the contaminants and contaminated groundwater transferred from the respective wells before the contaminants and contaminated groundwater is transferred to a water treatment device for purification. The switching valve box includes on/off switching valves installed between the respective devices and the respective wells and opened or closed to allow or interrupt the flow of air, liquid chemicals and contaminants introduced into or discharged from the respective devices to the respective wells. The main header includes selective on/off valves installed between the on/off valve box and the respective wells, and selectively opens or closes a corresponding one of the plurality of flow lines in response to opening or closing of the on/off regulating valves of the on/off valve box so as to inject air and liquid chemicals into the respective wells or discharge pollutants. The monitoring unit is connected to the on/off regulating valves of the respective devices and the on/off valve box, detects pressures in the respective wells, and controls injection of air and liquid chemicals into the respective wells and discharge of contaminants according to the detected pressures. The monitoring unit includes: a digital pressure gauge which receives a sensing signal from a sensor connected to each well and continuously measures a change in pressure in each well at intervals of 1 second or more; a data collection unit connected to the digital pressure gauge, receiving a pressure value measured by the digital pressure gauge, and converting the received pressure value into data; a reference value data unit storing data on reference pressure values of the respective wells; a comparison unit that is connected to the data collection unit and the reference value data unit and compares the measurement value data of the data collection unit with the reference value data of the reference value data unit; a controller connected to the comparison unit and controlling the respective devices and various other components in response to comparison data of the comparison unit; and a display unit connected to the controller and allowing the status of each constituent component of the monitoring unit to be verified from the outside.
In addition, korean patent registration No. 10-1267934 (5/21/2013) discloses a method of predicting a movement route of a groundwater pollution source as a conventional technique similar to that related to a method of detecting a pollution level during a process of purifying polluted groundwater and predicting a total purification period required for complete purification. The method comprises the following steps: an initial setting step of setting a subsurface region of interest in which a non-aqueous phase liquid (NAPL) serving as a source of groundwater contamination moves, dividing the subsurface region of interest into a plurality of cells, and setting initial conditions of groundwater, the NAPL, and a surfactant for increasing solubility of the NAPL in the subsurface water; a multiphase flow determination step of calculating saturation and darcy velocity of groundwater in each unit at predetermined time intervals, calculating total fluid pressure of groundwater and NAPLs in the pores in each unit using phase transfer of NAPLs dissolved in groundwater and moving, calculating total fluid velocity of groundwater and NAPLs in each unit using the total fluid pressure, calculating saturation of groundwater in the pores using the total fluid velocity, and calculating final velocity of groundwater in the pores; and a multi-contaminant transport determination step of calculating the concentration of NAPLs dissolved in the groundwater in each unit at predetermined time intervals using the darcy speed and the saturation of the groundwater calculated at the predetermined time intervals in the multiphase flow determination step.
However, the conventional techniques disclosed in the above patent documents only relate to monitoring soil and groundwater environment in real time before purifying contaminated groundwater, monitoring the state of groundwater in each unit, monitoring the purification state of soil and groundwater during a purification process, or remotely controlling in-situ purification of contaminated groundwater. None of the above patent documents discloses an IoT-based system for measuring a pollution distribution of contaminated groundwater to control a contaminated groundwater purification apparatus and predicting a purification cycle based on a measurement result by monitoring a pollution level of the contaminated groundwater in real time, which monitors the groundwater well in real time based on sensor data collected from the contaminated groundwater well during purification of contaminated groundwater present in the underground, measures the pollution distribution of the contaminated groundwater based on the monitoring result, controls the contaminated groundwater purification apparatus, and predicts the purification cycle based on the measurement result, thereby effectively purifying the contaminated groundwater. Heretofore, there has been no control system capable of simultaneously performing real-time monitoring of contaminated groundwater, measurement of contamination distribution of contaminated groundwater, control of contaminated groundwater purification apparatus, and purification cycle prediction in each unit.
[ Prior art documents ]
[ patent document ]
[ patent document 001] Korean patent registration 10-1248848 (registration at 3 month 25 in 2013)
[ patent document 002] Korean patent registration 10-0978939 (registration 24/8/2010)
[ patent document 003] Korean patent registration 10-1792808 (registration on 26 months 10 in 2017)
[ patent document 004] Korean patent registration 10-1276538 (registration on 6/13/2013)
[ patent document 005] Korean patent registration 10-1267934 (registration on 21/5/2013)
Disclosure of Invention
Accordingly, the present invention has been made in view of the above problems, and it is an object of the present invention to provide an IoT-based system for measuring a pollution distribution of contaminated groundwater to control a contaminated groundwater purification apparatus and predicting a purification cycle based on a measurement result by monitoring a pollution level of the contaminated groundwater in real time, which monitors the groundwater well in real time based on sensor data collected from the contaminated groundwater well during purification of contaminated groundwater present in the underground, measures the pollution distribution of the contaminated groundwater based on the monitoring result, controls the contaminated groundwater purification apparatus, and predicts the purification cycle based on the measurement result, thereby effectively purifying the contaminated groundwater.
In accordance with the present invention, the above and other objects can be accomplished by the provision of an IoT-based system for controlling a contaminated groundwater purification apparatus by measuring a pollution distribution of contaminated groundwater through real-time monitoring of a degree of pollution of a contaminated groundwater well and predicting a purification cycle based on the measurement result, the IoT-based system comprising: a sensor unit installed in each of a plurality of wells excavated to purify contaminated groundwater, the sensor unit including a contamination level sensor for measuring a contamination level caused by contaminants, a pH sensor, a temperature sensor, a water level sensor, a pumping amount sensor, and a rainfall sensor; a server unit configured to collect sensor data transmitted from the sensor unit and classify the sensor data based on a data type; and a network dashboard unit configured to display sensor data transmitted from the server unit in real time based on the well and based on the data type to enable a user to verify or control the desired sensor data. The network instrument panel unit comprises a state picture based on a purification area, a main picture, a pollution degree picture, a pumping quantity picture, an underground water level picture, an indirect purification factor picture, a movement distribution historical picture based on the data of a pollution area sensor, a distribution comparison picture, a purification control picture and a purification period prediction picture, the decontamination control screen includes a sensor data type selection window that allows selection of a type of sensor data, the sensor data type selection window being displayed in the contamination map screen, wherein the extent of the contaminated area, the depth of contamination, the values of each type of sensor data based on the well, a two-dimensional or three-dimensional equipotential surface map of the values based on each type of sensor data, the location of the purification device, the location of the well, and the connecting piping are displayed on the contaminated area map, the decontamination period prediction picture shows a change in the value of each type of sensor data in the contaminated area.
The contaminated groundwater may be purified such that the contaminated groundwater is pumped from the plurality of wells and purified above ground by a purification device, or such that a purification agent is injected into each of the plurality of wells and the contaminated groundwater mixed with the purification agent is pumped and purified by a purification device.
The contaminants may include: petroleum-based contaminants including benzene, toluene, xylene, ethylbenzene, Total Petroleum Hydrocarbons (TPH), Trichloroethylene (TCE), tetrachloroethylene (PCE), organophosphorus compounds, PCB, cyano, and phenol; and heavy metal contaminants including arsenic, lead, cadmium, hexavalent chromium, copper, mercury, zinc, nickel, and fluorine.
The contamination level sensor may be selectively implemented as any one of analysis devices including a Gas Chromatograph (GC), a gas chromatograph-mass spectrometer (GC-MS), an atomic absorption spectrophotometer, an atomic emission spectrophotometer, an absorption spectrophotometer, an infrared spectrophotometer, and an ultraviolet spectrophotometer according to the contaminants.
The contamination level sensor may use contaminated groundwater sampled from a well to measure the contamination level.
The purge zone based status frame may include: a status screen displaying an engineering project name, an engineering period, a pollutant type, a pollution cause, a purification standard, and a purification progress history; and a contamination map screen in which the range of the contaminated area, the contamination depth, the position of the purification apparatus, the position of the well, and the connection pipe are displayed on the contaminated area map.
The home screen may include a sensor data type selection window that allows selection of a type of the sensor data, and may display a value of each type of the sensor data selected from each of the plurality of wells and a two-dimensional or three-dimensional equipotential surface map based on the value of each type of the sensor data on the contaminated area map.
The contamination level picture may include: a contaminant type selection window that allows selection of a type of contaminant; a contamination map in which a two-dimensional or three-dimensional equipotential surface map of a contaminant selected from a level of contamination caused by the contaminant for each of the plurality of wells and based on the level of contamination caused by the contaminant is displayed on the contaminated area map; a contamination level graph indicating a numerical change in a contamination level caused by contaminants selected from each of the plurality of wells; and a contamination data table indicating a level of contamination caused by the selected contaminants based on the well and based on the date.
The pumping capacity picture may include: a pumped volume map, wherein a volume pumped from each of the plurality of wells, a two-dimensional or three-dimensional equipotential surface map of the pumped volume based thereon, and a degree of contamination caused by contaminants selected from each of the plurality of wells are displayed on the contaminated area map; a pumping volume graph indicating a variation in the volume pumped from each of the plurality of wells; and a pumping volume data table indicating pumping volumes based on the well and based on the date.
The ground water level screen may include: a groundwater level modeling map, wherein a groundwater level in each of the plurality of wells, a two or three dimensional equipotential surface map of the groundwater level based thereon, and a groundwater flow map are displayed on the contaminated area map; a stratigraphic profile indicating, in profile, the water table and the strata displayed on the contaminated area map; and a groundwater level data table indicating a groundwater level based on the well and based on the date.
The indirect purification factor pictures may include: an indirect purification factor modeling map, wherein values of indirect purification factors including temperature, pH, and rainfall, and a two-dimensional or three-dimensional equipotential surface map of indirect purification factors based thereon, are displayed on the contaminated region map for each of the plurality of wells; an indirect decontamination factor graph indicating a change in a value of an indirect decontamination factor in each of the plurality of wells; and an indirect decontamination factor data table indicating values of indirect decontamination factors based on the well and based on the date.
When each of the plurality of wells in the main screen is clicked and selected, the diameter and depth of the well and the specification of the pump may be displayed based on the well.
When each of the plurality of wells in the home screen is clicked and selected, a graph indicating a numerical change of each type of sensor data may be displayed.
When a peak value of the graph displayed in each of the pollution degree graph in the pollution degree screen, the pumping amount graph in the pumping amount picture, and the indirect purification factor graph in the indirect purification factor picture is clicked and selected, the pollution degree, the pumping amount, and the value of each indirect purification factor of each pollutant at the corresponding date may be displayed.
The distribution history screen may include a sensor data type selection window that allows selection of a type of the sensor data, the sensor data type selection window being displayed in the pollution map screen, wherein the extent of the contaminated area, the depth of contamination, the values of each type of sensor data based on the well, a two-dimensional or three-dimensional equipotential surface map of the values based on each type of sensor data, the location of the purification device, and the location of the well are displayed on the contaminated area map, and may further include a period slider allowing selection of a start date and an end date, and may display a change history of the selected sensor data during the selected period, the change history of the selected sensor data including a range of a contaminated area, a contamination depth, a value of each type of sensor data based on the well, and a two-dimensional or three-dimensional equipotential surface map based on the value of each type of sensor data.
The distribution comparison screen may include a sensor data type selection window that allows selection of a type of the sensor data, and a plurality of comparison screens based on the period division, in each of which a change history of the selected sensor data including a range of the contaminated area, a depth of contamination, a value of each type of sensor data based on the well, and a two-dimensional or three-dimensional equipotential surface map based on the value of each type of sensor data is displayed on the contaminated area map.
When a purge device in the purge control screen is clicked and selected, a purge device operation screen may be displayed. The purification apparatus operation screen may include: the overall construction diagram of the purification apparatus in each purification zone; a flow indicator indicating the flow of the contaminated groundwater through the pipeline of the purification apparatus, back into the well, into the rainwater, and into the sewage; and an operation data table indicating a degree of contamination caused by contaminants in the respective wells, an amount of pumping from the respective wells, a water level in the purification apparatus, on/off of a pump in the respective wells, on/off of a pump of the purification apparatus, on/off of a pump supplying chemicals, and information on whether the purification apparatus normally operates.
The purification apparatus operation screen may display a graph indicating the name of the injected chemical, the amount of the injected chemical, and a numerical change in the amount of the injected chemical.
The on/off of the pump in each well, the on/off of the pump of the purification apparatus, and the on/off of the pump supplying the chemicals can be individually controlled by the purification apparatus operation screen.
When the inlet tank and the outlet tank of the purification apparatus displayed in the purification apparatus operation screen are clicked and selected, respectively, a graph indicating a numerical change in the degree of contamination caused by contaminants may be displayed.
The decontamination period prediction picture can include a sensor data type selection window that allows selection of a type of sensor data, the sensor data type selection window being displayed in the contamination map picture, wherein the extent of the contaminated area, the depth of contamination, the values of each type of sensor data based on the well, a two-dimensional or three-dimensional equipotential surface map of the values based on each type of sensor data, the location of the purification device, and the location of the well are displayed on the contaminated area map, and may further include a period slider allowing selection of a start date and an end date, and may display a change history of the selected sensor data during the selected period, the change history of the selected sensor data including a range of a contaminated area, a contamination depth, a value of each type of sensor data based on the well, and a two-dimensional or three-dimensional equipotential surface map based on the value of each type of sensor data.
The decontamination period prediction picture may be configured to allow verification of a contamination reduction status during a selected period based on a history of changes during the selected period.
The purge cycle prediction screen may be configured to output a prediction value of the degree of contamination after a predetermined period and a prediction value of the purge cycle. The predicted value of the contamination degree after the predetermined period and the predicted value of the purge period may be calculated using a program executed based on a purge period prediction algorithm including the following exponential functions:
C＝C0e-kt
wherein C indicates the degree of contamination (mg/L) of groundwater after a predetermined period, C0Indicating the initial degree of contamination of the groundwater (mg/L), k the reduction factor (days)-1) And t indicates time (day).
The prediction value of the contamination level after the predetermined period may be calculated such that the contamination level C (mg/L) of groundwater after the predetermined period (day) and the initial contamination level C of groundwater from among the sensor data of the contamination level sensor0(mg/L) to calculate the reduction factor k (in days)-1) A graph of the above exponential function is output, and the graph is used to calculate a predicted value (day) of the degree of contamination after a predetermined period.
The prediction value of the purification period may be calculated such that the degree of contamination C (mg/L) of groundwater and the initial degree of contamination C of groundwater after a predetermined period (day) from among the sensor data of the contamination degree sensor0(mg/L) to calculate the reduction factor k (in days)-1) The graph of the above-described exponential function is output, the pollution purification target is set using the graph, and the period required to achieve the pollution purification target is calculated as the predicted value of the purification period.
The purge cycle prediction screen may display the amount of the chemical injected and the amount of the power consumed during the selected cycle, and may calculate and display a predicted value of the amount of the chemical to be injected and a predicted value of the amount of the power to be consumed during a cycle corresponding to the predicted value of the purge cycle using a program to which a purge cycle prediction algorithm is applied, based on the amount of the chemical injected and the amount of the power consumed.
The two-dimensional or three-dimensional equipotential surface map of the sensor data, the two-dimensional or three-dimensional equipotential surface map of the respective contaminant, the two-dimensional or three-dimensional equipotential surface map of the pumping volume, the two-dimensional or three-dimensional equipotential surface map of the groundwater level, or the two-dimensional or three-dimensional equipotential surface map of the respective indirect purification factor may be configured to indicate the numerical range such that the numerical range is distinguished by color.
The IoT-based system, which measures the pollution distribution of the contaminated groundwater by monitoring the degree of pollution of the contaminated groundwater well in real time to control the contaminated groundwater purification apparatus and predicts the purification period based on the measurement result, may be configured to allow a purification company or a regulatory agency to have online access to perform authentication or control.
Drawings
The above and other objects, features and other advantages of the present invention will be more clearly understood from the following detailed description taken in conjunction with the accompanying drawings, in which:
fig. 1 is a schematic view illustrating an overall configuration of an IoT-based system for measuring a pollution distribution of polluted groundwater by monitoring a pollution level of the polluted groundwater well in real time to control a polluted groundwater purification apparatus and predicting a purification period based on the measurement result according to the present invention;
fig. 2 is a diagram illustrating installation of wells in an overall configuration of an IoT-based system for controlling a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result by measuring a pollution distribution of contaminated groundwater through real-time monitoring of a degree of pollution of a contaminated groundwater well according to the present invention;
fig. 3 is a state picture based on a purification region of a network dashboard unit of the IoT based system for measuring a pollution distribution of polluted groundwater by monitoring a pollution level of the polluted groundwater well in real time to control a polluted groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention;
fig. 4 is a main screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of polluted groundwater by monitoring a pollution level of the polluted groundwater well in real time to control a polluted groundwater purification device and predicting a purification cycle based on the measurement result according to the present invention;
fig. 5 is a main screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of polluted groundwater by monitoring a pollution level of the polluted groundwater well in real time to control a polluted groundwater purification device and predicting a purification cycle based on the measurement result according to the present invention;
fig. 6 is a pollution level screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of polluted groundwater by monitoring the pollution level of the polluted groundwater well in real time to control a polluted groundwater purification device and predicting a purification cycle based on the measurement result according to the present invention;
fig. 7 is a pollution level screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of contaminated groundwater by monitoring the pollution level of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention;
fig. 8 is a pumping amount screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of contaminated groundwater by monitoring a pollution level of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention;
fig. 9 is a groundwater level picture of a network dashboard unit of the IoT-based system for measuring a pollution distribution of polluted groundwater by monitoring a pollution level of the polluted groundwater well in real time to control a polluted groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention;
fig. 10 is an indirect purification factor screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of polluted groundwater by monitoring a pollution level of the polluted groundwater well in real time to control a polluted groundwater purification device and predicting a purification cycle based on the measurement result according to the present invention;
fig. 11 is an indirect purification factor screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of polluted groundwater by monitoring a pollution level of the polluted groundwater well in real time to control a polluted groundwater purification device and predicting a purification cycle based on the measurement result according to the present invention;
fig. 12 is a main screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of polluted groundwater by monitoring a pollution level of the polluted groundwater well in real time to control a polluted groundwater purification device and predicting a purification cycle based on the measurement result according to the present invention;
fig. 13 is a distribution history screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of contaminated groundwater by monitoring a pollution level of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention;
fig. 14 is a distribution history screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of contaminated groundwater by monitoring a pollution level of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention;
fig. 15 is a distribution history screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of contaminated groundwater by monitoring a pollution level of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention;
fig. 16 is a distribution comparison screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of contaminated groundwater by monitoring a pollution level of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention;
fig. 17 is a purification control screen of a network dashboard unit of the IoT-based system that measures a pollution distribution of polluted groundwater by monitoring a pollution level of the polluted groundwater well in real time to control a polluted groundwater purification device and predicts a purification cycle based on the measurement result, according to the present invention;
fig. 18 is a purification apparatus operation screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of contaminated groundwater by monitoring a pollution level of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention;
fig. 19 is a purification apparatus operation screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of contaminated groundwater by monitoring a pollution level of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention;
fig. 20 is a purification cycle prediction screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of contaminated groundwater by monitoring a pollution level of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention;
fig. 21 is a purification cycle prediction screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of contaminated groundwater by monitoring a pollution level of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention;
fig. 22 is a purification cycle prediction screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of contaminated groundwater by monitoring a pollution level of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention;
fig. 23 is a purification cycle prediction screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of contaminated groundwater by monitoring a pollution level of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention; and
fig. 24 is a purification cycle prediction screen of a network dashboard unit of the IoT-based system for measuring a pollution distribution of contaminated groundwater by monitoring a pollution level of the contaminated groundwater well in real time to control a contaminated groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention.
Detailed Description
Reference will now be made in detail to the preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Referring to fig. 1 to 12, an IoT-based system for measuring a pollution distribution of polluted groundwater by monitoring a pollution level of a polluted groundwater well in real time to control a polluted groundwater purification apparatus and predicting a purification cycle based on the measurement result according to the present invention includes: a sensor unit installed in each of a plurality of wells excavated to purify contaminated groundwater, the sensor unit including a contamination level sensor for measuring a contamination level caused by contaminants, a pH sensor, a temperature sensor, a water level sensor, a pumping amount sensor, and a rainfall sensor; a server unit configured to collect sensor data transmitted from the sensor unit and classify the sensor data based on a data type; and a network dashboard unit configured to display sensor data transmitted from the server unit in real time based on the well and based on the data type to enable a user to verify or control the desired sensor data. The network instrument panel unit includes: a status picture based on the purge zone; a main picture; a pollution level picture; pumping volume picture; a ground water level picture; indirectly purifying the factor picture; a movement distribution history picture based on contaminated area sensor data; distributing comparison pictures; a decontamination control screen including a sensor data type selection window allowing selection of a type of sensor data, the sensor data type selection window being displayed in a contamination map screen on which a range of a contaminated area, a contamination depth, a value of each type of sensor data based on a well, a two-dimensional or three-dimensional equipotential surface map of the value based on each type of sensor data, a position of a decontamination apparatus, a position of a well, and a connecting pipe are displayed; and a purge cycle prediction picture showing a change in value of each type of sensor data in the contaminated area.
Here, the contaminated groundwater is purified such that the contaminated groundwater is pumped from the plurality of wells and purified above ground by the purification device, or such that a purification agent is injected into each of the plurality of wells and the contaminated groundwater mixed with the purification agent is pumped and purified by the purification device.
In this case, the contaminants include: petroleum-based contaminants including benzene, toluene, xylene, ethylbenzene, Total Petroleum Hydrocarbons (TPH), Trichloroethylene (TCE), tetrachloroethylene (PCE), organophosphorus compounds, PCB, cyano, and phenol; and heavy metal contaminants including arsenic, lead, cadmium, hexavalent chromium, copper, mercury, zinc, nickel, and fluorine.
In addition, the contamination level sensor is selectively implemented as any one of analysis devices including a Gas Chromatograph (GC), a gas chromatograph-mass spectrometer (GC-MS), an atomic absorption spectrophotometer, an atomic emission spectrophotometer, an absorption spectrophotometer, an infrared spectrophotometer, and an ultraviolet spectrophotometer according to the contaminants. As shown in fig. 2, the contamination level sensor measures the contamination level using contaminated groundwater sampled from a well.
The network instrument panel unit comprises a state picture, a main picture, a pollution degree picture, a pumping quantity picture, an underground water level picture and an indirect purification factor picture based on a purification area.
As shown in fig. 3, the status screen based on the purge region includes: a status screen displaying an engineering project name, an engineering period, a pollutant type, a pollution cause, a purification standard, and a purification progress history; and a contamination map screen in which the range of the contaminated area, the contamination depth, the position of the purification apparatus, the position of the well, and the connection pipe are displayed on the contaminated area map.
As shown in fig. 4 and 5, the home screen includes a sensor data type selection window that allows selection of a type of sensor data, and displays a value of each type of sensor data selected from each of the plurality of wells and a two-dimensional or three-dimensional equipotential surface map based on the value of each type of sensor data on the contaminated area map.
As shown in fig. 6 and 7, the contamination level screen includes: a contaminant type selection window that allows selection of a type of contaminant; a contamination map in which a two-dimensional or three-dimensional equipotential surface map of a contamination selected from a level of contamination caused by a contamination of each of the plurality of wells and a contamination based on the level of contamination caused by the contamination is displayed on the contaminated area map; a contamination level graph indicating a numerical change in a contamination level caused by contaminants selected from each of the plurality of wells; and a contamination data table indicating a level of contamination caused by the selected contaminants based on the well and based on the date.
As shown in fig. 8, the pumping amount picture includes: a pumping volume map in which a pumping volume from each of the plurality of wells, a two-dimensional or three-dimensional equipotential surface map of the pumping volume based thereon, and a degree of contamination caused by contaminants selected from each of the plurality of wells are displayed on the contaminated region map; a pumping volume graph indicating a variation in the volume pumped from each of the plurality of wells; and a pumping volume data table indicating pumping volumes based on the well and based on the date.
As shown in fig. 9, the ground water level screen includes: a groundwater level modeling map, wherein a groundwater level in each of the plurality of wells, a two or three dimensional equipotential surface map of the groundwater level based thereon, and a groundwater flow map are displayed on the contaminated area map; a stratigraphic profile indicating, in profile, the water table and the strata displayed on the contaminated area map; and a groundwater level data table indicating a groundwater level based on the well and based on the date.
As shown in fig. 10 and 11, the indirect cleansing factor screen includes: an indirect purification factor modeling map, wherein values of indirect purification factors including temperature, pH, and rainfall in each of the plurality of wells and a two-dimensional or three-dimensional equipotential surface map of the indirect purification factors based thereon are displayed on the contaminated area map; an indirect decontamination factor graph indicating a change in a value of the indirect decontamination factor for each of the plurality of wells; and an indirect decontamination factor data table indicating values of indirect decontamination factors based on the well and based on the date.
When each of the plurality of wells in the main screen is clicked and selected, the diameter and depth of the well and the specifications of the pump may be displayed based on the well. In addition, as shown in fig. 12, when each of a plurality of wells in the home screen is clicked and selected, a graph indicating a numerical change of each type of sensor data may be displayed.
In addition, although not shown, when a peak value of a graph displayed in each of the contamination level graph in the contamination level screen, the pumping amount graph in the pumping amount screen, and the indirect purification factor graph in the indirect purification factor screen is clicked and selected, the contamination level of each contaminant, the pumping amount, and the value of each indirect purification factor at the corresponding date may be displayed.
As shown in fig. 13 to 15, the distribution history screen includes a sensor data type selection window that allows selection of a type of sensor data, which is displayed in the pollution map screen, in which a range of a polluted region, a pollution depth, a value of each type of sensor data based on a well, a two-dimensional or three-dimensional equipotential surface map based on the value of each type of sensor data, a position of the purification apparatus, and a position of the well are displayed on the polluted region map; also included is a period slider that allows selection of a start date and an end date, and displays a history of changes to the selected sensor data during the selected period, the history of changes to the selected sensor data including a range of the contaminated area, a depth of contamination, a value for each type of sensor data based on the well, and a two-dimensional or three-dimensional equipotential map based on the value for each type of sensor data.
That is, when the user or administrator selects a type of sensor data in the distribution history screen and slides the period slider from a desired start point to a desired end point, a change history of the selected sensor data (including a range of a contaminated area, a contamination depth, a value of each type of sensor data based on a well, and a two-dimensional or three-dimensional equipotential surface map based on the value of each type of sensor data) from a start date to an end date may be displayed, thereby making it possible to verify a contamination reduction state during a decontamination period.
As shown in fig. 16, the distribution comparison screen includes a sensor data type selection window that allows selection of a type of sensor data, and a plurality of comparison screens divided based on a period, and a change history of the selected sensor data including a range of a contaminated area, a contamination depth, a value of each type of sensor data based on a well, and a two-dimensional or three-dimensional equipotential surface diagram based on the value of each type of sensor data is displayed on the contaminated area diagram, thereby making it possible to verify a contamination reduction state during a decontamination period in a divided manner.
In addition, the network dashboard of the present invention includes a decontamination control screen including a sensor data type selection window allowing selection of a type of sensor data, which is displayed in the contamination map screen, wherein a range of a contaminated area, a contamination depth, a value of each type of sensor data based on a well, a two-dimensional or three-dimensional equipotential surface map based on the value of each type of sensor data, a location of a decontamination apparatus, a location of a well, and a connecting pipe are displayed on the contaminated area map.
That is, as shown in fig. 17, the decontamination control screen includes a contamination map screen in which the extent of the contaminated area, the depth of contamination, the value of each type of sensor data based on the well, a two-dimensional or three-dimensional equipotential surface map of the value based on each type of sensor data, the position of the decontamination apparatus, the position of the well, and the connecting pipe are displayed on the contaminated area map.
When the purification apparatus in the pollution map screen is clicked and selected, as shown in fig. 18, a purification apparatus operation screen is displayed. The purification apparatus operation screen includes an overall configuration diagram of the purification apparatus in each purification zone, flow indicators indicating the flow rate of the contaminated groundwater which is reinjected into the well, discharged into the rainwater and discharged into the sewage through the pipes of the purification apparatus, and operation data tables indicating the degree of contamination caused by the contaminants in each well, the amount of pumping from each well, the water level in the purification apparatus, the on/off of the pump in each well, the on/off of the pump of the purification apparatus, the on/off of the pump of the chemical supply, and information as to whether or not the purification apparatus is operating normally.
In addition, the purification apparatus operation screen may display a table of names of the injected chemicals, amounts of the injected chemicals, and numerical changes of the amounts of the injected chemicals.
In addition, on/off of the pump in each well, on/off of the pump of the purification apparatus, and on/off of the pump supplying the chemicals can be individually controlled by the purification apparatus operation screen.
In addition, as shown in fig. 19, when the inlet tank and the outlet tank of the purification apparatus displayed in the purification apparatus operation screen are clicked and selected, respectively, a graph indicating a numerical change in the degree of contamination by contaminants may be displayed.
Further, the network dashboard of the present invention includes a cleansing cycle prediction screen that displays changes in values of each type of sensor data in the contaminated area.
That is, as shown in fig. 20 to 23, the purification cycle prediction screen includes a sensor data type selection window that allows selection of a type of sensor data, which is displayed in the pollution map screen, in which a range of a polluted region, a pollution depth, a value of each type of sensor data based on a well, a two-dimensional or three-dimensional equipotential surface map based on the value of each type of sensor data, a position of the purification device, and a position of the well are displayed on the polluted region map; also included is a period slider that allows selection of a start date and an end date, and displays a history of changes to the selected sensor data during the selected period, the history of changes to the selected sensor data including a range of the contaminated area, a depth of contamination, a value for each type of sensor data based on the well, and a two-dimensional or three-dimensional equipotential map based on the value for each type of sensor data.
The decontamination period prediction screen is configured to allow verification of a contamination reduction status during a selected period based on a history of changes during the selected period.
That is, when the user or administrator selects a type of sensor data in the purge cycle prediction screen and slides the cycle slider from a desired start point to a desired end point, a change history of the selected sensor data (including a range of a contaminated area, a contamination depth, a value of each type of sensor data based on a well, and a two-dimensional or three-dimensional equipotential surface map of the value based on each type of sensor data) from a start date to an end date may be displayed, thereby making it possible to verify a contamination reduction state during a purge cycle.
For example, as shown in fig. 24, based on the change history of the two-dimensional or three-dimensional equipotential surface map with time displayed in the purge cycle prediction screen, the contamination reduction state during the purge cycle can be verified, followed by predicting the total purge cycle required for complete purge.
Further, the purge cycle prediction screen is configured to output a prediction value of the degree of contamination after the predetermined cycle and a prediction value of the purge cycle. The predicted value of the contamination degree after the predetermined period and the predicted value of the purge period are calculated using a program executed based on a purge period prediction algorithm including the following exponential functions:
C＝C0e-kt
wherein C indicates the degree of contamination (mg/L) of groundwater after a predetermined period, C0Indicating the initial degree of contamination of the groundwater (mg/L), k the reduction factor (days)-1) And t indicates time (day).
In this case, the prediction value of the contamination level after the predetermined period is calculated such that the contamination level C (mg/L) of groundwater after the predetermined period (day) and the initial contamination level C of groundwater are calculated from among the sensor data of the contamination level sensor0(mg/L) calculating the reduction factor k (in days)-1) A graph of the above exponential function is output, and the graph is used to calculate a predicted value (day) of the degree of contamination after a predetermined period.
In addition, the predicted value of the cleaning period is calculated,so that the contamination degree C (mg/L) of groundwater and the initial contamination degree C of groundwater after a predetermined period (day) from among the sensor data of the contamination degree sensor0(mg/L) calculating the reduction factor k (in days)-1) The graph of the exponential function is output, the pollution purification target is set using the graph, and the period required for achieving the pollution purification target is calculated as the predicted value of the purification period.
In addition, the purge cycle prediction screen may display the amount of the chemical injected and the amount of the power consumed during the selected cycle, and may calculate and display a predicted value of the amount of the chemical to be injected and a predicted value of the amount of the power to be consumed during a cycle corresponding to the predicted value of the purge cycle using a program applying a purge cycle prediction algorithm based on the amount of the chemical injected and the amount of the power consumed.
In addition, the two-dimensional or three-dimensional equipotential surface map of the sensor data, the two-dimensional or three-dimensional equipotential surface map of each pollutant, the two-dimensional or three-dimensional equipotential surface map of the pumping amount, the two-dimensional or three-dimensional equipotential surface map of the ground water level, or the two-dimensional or three-dimensional equipotential surface map of each indirect purification factor displayed in the network dashboard screen of the present invention is configured to indicate the numerical range so that the numerical range is distinguished by color.
In addition, the IoT-based system according to the present invention, which measures the pollution distribution of contaminated groundwater by monitoring the degree of pollution of the contaminated groundwater well in real time to control the contaminated groundwater purification apparatus and predicts the purification period based on the measurement result, may be configured to allow a purification company or a regulatory agency to have online access to perform authentication or control.
As apparent from the above description, the present invention provides an IoT-based system for measuring a pollution distribution of polluted underground water to control a polluted underground water purification apparatus and predicting a purification cycle based on the measurement result by monitoring the pollution level of the polluted underground water in real time, which monitors the underground water well in real time based on sensor data collected from the polluted underground water well during purification of the polluted underground water present in the underground, measures the pollution distribution of the polluted underground water based on the monitoring result, controls the polluted underground water purification apparatus, and predicts the purification cycle based on the measurement result, thereby effectively purifying the polluted underground water. Accordingly, the pollution level of groundwater can be monitored in real time without having to investigate the pollution level of groundwater through a variety of separate methods, thereby reducing the amount of labor, time, and expenses required to investigate the pollution level. In addition, the automatic purification may be achieved by automatically controlling the purification apparatus based on the pollution distribution of the contaminated groundwater. In addition, the degree of contamination after a predetermined period of time or the total purification period required to achieve the target degree of contamination to be purified can be predicted, thereby achieving an effective purification process.
Although the preferred embodiments of the present invention have been disclosed for illustrative purposes, those skilled in the art will appreciate that various modifications, additions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims.

Claims (28)

1. An IoT-based system for measuring a pollution distribution of polluted groundwater by monitoring a pollution level of the polluted groundwater well in real time to control a polluted groundwater purification apparatus and predicting a purification cycle based on a measurement result, the IoT-based system comprising:
a sensor unit installed in each of a plurality of wells excavated to purify contaminated groundwater, the sensor unit including a pH sensor, a temperature sensor, a water level sensor, a pump discharge sensor, a rainfall sensor, and a contamination level sensor for measuring a contamination level caused by contaminants;
a server unit configured to collect sensor data transmitted from the sensor unit and classify the sensor data based on a data type; and
a web dashboard unit configured to display sensor data transmitted from the server unit in real time based on the wells and based on data types to enable a user to verify or control desired sensor data, the web dashboard unit including a status screen based on a contaminated area, a main screen, a contamination level screen, a pumping amount screen, a ground water level screen, an indirect decontamination factor screen, a movement distribution history screen based on contaminated area sensor data, a distribution comparison screen, a decontamination control screen, and a decontamination period prediction screen, the decontamination control screen including a sensor data type selection window allowing selection of a type of the sensor data, the sensor data type selection window being displayed in a contamination map screen, wherein a range of the contaminated area, a contamination depth, a value of each type of sensor data based on the wells, a data type of the sensor data, a data type of, A two-dimensional or three-dimensional equipotential surface map based on the values of each type of sensor data, the position of the purification device, the position of the well, and the connecting pipe are displayed on the contaminated area map, and the purification cycle prediction screen displays changes in the values of each type of sensor data in the contaminated area.
2. The IoT-based system in accordance with claim 1, wherein the contaminated groundwater is purified such that the contaminated groundwater is pumped from the plurality of wells and purified above ground by a purification device, or such that a purifying agent is injected into each of the plurality of wells and the contaminated groundwater mixed with the purifying agent is pumped and purified by a purification device.
3. The IoT-based system in accordance with claim 1, wherein the contaminants comprise:
petroleum-based contaminants including benzene, toluene, xylene, ethylbenzene, total petroleum hydrocarbons TPH, trichloroethylene TCE, tetrachloroethylene PCE, organophosphorus compounds, PCB, cyano, and phenol; and
heavy metal contaminants including arsenic, lead, cadmium, hexavalent chromium, copper, mercury, zinc, nickel, and fluorine.
4. The IoT-based system in accordance with claim 1, wherein the contamination level sensor is selectively implemented as any of analytical devices including a gas chromatograph GC, a gas chromatograph mass spectrometer GC-MS, an atomic absorption spectrophotometer, an atomic emission spectrophotometer, an absorption spectrophotometer, an infrared spectrophotometer, and an ultraviolet spectrophotometer depending on the contamination.
5. The IoT-based system in accordance with claim 1, wherein the pollution level sensor measures pollution levels using polluted groundwater sampled from a well.
6. The IoT-based system in accordance with claim 1, wherein the clean area-based status screen comprises:
a status screen configured to display an engineering project name, an engineering cycle, a pollutant type, a pollution cause, a decontamination standard, and a decontamination progress history; and
a contamination map screen on which the extent of the contaminated area, the contamination depth, the position of the purification apparatus, the position of the well, and the connecting piping are displayed.
7. The IoT-based system in accordance with claim 1, wherein the home screen comprises a sensor data type selection window that allows selection of a type of sensor data, and displays on the contaminated area map a value of each type of sensor data selected from each of the plurality of wells and a two-dimensional or three-dimensional equipotential map based on the value of each type of sensor data.
8. The IoT-based system in accordance with claim 1, wherein the pollution level screen comprises:
a contaminant type selection window that allows selection of a type of contaminant;
a contamination map, wherein a two-dimensional or three-dimensional equipotential surface map of a contaminant selected from a level of contamination caused by the contaminant for each of the plurality of wells and based on the level of contamination caused by the contaminant is displayed on the contaminated area map;
a contamination level graph indicating a numerical change in a contamination level caused by contaminants selected from each of the plurality of wells; and
a contamination data table indicating a level of contamination caused by the selected contaminant based on the well and based on the date.
9. The IoT-based system in accordance with claim 1, wherein the pump volume screen comprises:
a pumped volume modeling map, wherein a volume pumped from each of the plurality of wells, a two-dimensional or three-dimensional equipotential surface map of the pumped volume based on the volume pumped from each of the plurality of wells, and a degree of contamination caused by contaminants selected from each of the plurality of wells are displayed on the contaminated area map;
a pumping volume profile indicating a variation in the volume pumped from each of the plurality of wells; and
a pumping volume data table indicating pumping volumes based on the well and based on the date.
10. The IoT-based system in accordance with claim 1, wherein the ground water level screen comprises:
a groundwater level modeling map, wherein a groundwater level in each of the plurality of wells, a two or three dimensional equipotential surface map of the groundwater level based on the groundwater level in each of the plurality of wells, and a groundwater flow map are displayed on the contaminated area map;
a stratigraphic profile indicating, in cross-section, the water table and the strata displayed on the contaminated area map; and
a ground water level data table indicating a ground water level based on the well and based on the date.
11. The IoT-based system in accordance with claim 1, wherein the indirect sanitization factor screen comprises:
an indirect purification factor modeling map, wherein values of an indirect purification factor including temperature, pH, and rainfall in each of the plurality of wells and a two-dimensional or three-dimensional equipotential map of the indirect purification factor based on the values of the indirect purification factor are displayed on the contaminated area map;
an indirect decontamination factor graph indicating a change in a value of an indirect decontamination factor in each of the plurality of wells; and
an indirect decontamination factor data table indicating values of indirect decontamination factors based on wells and based on dates.
12. The IoT-based system in accordance with claim 7, wherein a well's diameter and depth and pump specifications are displayed on a well-by-well basis when each of the plurality of wells in the home screen is clicked and selected.
13. The IoT-based system in accordance with claim 7, wherein a graph indicating a change in a value for each type of sensor data is displayed when each of the plurality of wells in the home screen is clicked and selected.
14. The IoT-based system according to claim 8, wherein when a peak of the graph displayed in each of the pollution level graph in the pollution level screen, the pumping amount graph in the pumping amount screen, and the indirect purification factor graph in the indirect purification factor screen is clicked and selected, the pollution level, the pumping amount, and the value of each indirect purification factor of each pollutant are displayed on the corresponding date.
15. The IoT-based system in accordance with claim 1, wherein the distribution history screen comprises a sensor data type selection window that allows selection of a type of sensor data, the sensor data type selection window being displayed in a pollution map screen on which a range of a polluted area, a depth of pollution, a value of each type of sensor data based on a well, a two-dimensional or three-dimensional equipotential map of values based on each type of sensor data, a location of a purification device, and a location of a well are displayed, and
wherein the distribution history screen further includes a period slider allowing selection of a start date and an end date, and displays a change history of the selected sensor data during the selected period, the change history of the selected sensor data including a range of a contaminated area, a contamination depth, a value of each type of sensor data based on the well, and a two-dimensional or three-dimensional equipotential surface map based on the value of each type of sensor data.
16. The IoT-based system in accordance with claim 1, wherein the distribution comparison screen comprises a sensor data type selection window that allows selection of a type of sensor data and a plurality of comparison screens segmented on a periodic basis, in each comparison screen a history of changes in the selected sensor data including a range of a contaminated area, a depth of contamination, a value of each type of sensor data based on a well, and a two-dimensional or three-dimensional equipotential map based on the value of each type of sensor data being displayed on the contaminated area map.
17. The IoT-based system in accordance with claim 1, wherein when a cleansing device in the cleansing control screen is clicked and selected, a cleansing device operation screen is displayed, and
wherein the purification apparatus operation screen includes:
the overall construction diagram of the purification apparatus in each purification zone;
a flow indicator indicating the flow of the contaminated groundwater through the pipeline of the purification apparatus, back into the well, into the rainwater, and into the sewage; and
an operation data table indicating a degree of contamination caused by contaminants in each well, an amount of pumping from each well, a water level in the purification apparatus, on/off of a pump in each well, on/off of a pump of the purification apparatus, on/off of a pump supplying chemicals, and information on whether the purification apparatus is normally operated.
18. The IoT-based system according to claim 17, wherein the purification device operation screen displays a graph indicating a name of the injected chemical, an amount of the injected chemical, and a change in a value of the amount of the injected chemical.
19. The IoT-based system in accordance with claim 17, wherein on/off of the pump in each well, on/off of the pump of the purification apparatus, and on/off of the pump supplying chemicals are individually controlled by the purification apparatus operation screen.
20. The IoT-based system according to claim 17, wherein a graph indicating a change in a numerical value of a degree of contamination caused by contaminants is displayed when an inlet can and an outlet can of a purification apparatus displayed in the purification apparatus operation screen are clicked and selected, respectively.
21. The IoT-based system in accordance with claim 1, wherein the decontamination period prediction screen comprises a sensor data type selection window that allows selection of a type of sensor data, the sensor data type selection window displayed in a contamination map screen, wherein a range of a contaminated area, a depth of contamination, a value of each type of sensor data based on a well, a two-or three-dimensional equipotential map of values based on each type of sensor data, a location of a decontamination apparatus, and a location of a well are displayed on the contaminated area map, and
wherein the purge cycle prediction screen further comprises a cycle slider allowing selection of a start date and an end date, and displays a change history of the selected sensor data during the selected cycle, the change history of the selected sensor data comprising a range of a contaminated area, a contamination depth, a value of each type of sensor data based on the well, and a two-dimensional or three-dimensional equipotential surface map based on the value of each type of sensor data.
22. The IoT-based system in accordance with claim 21, wherein the decontamination period prediction screen is configured to allow verification of a contamination reduction state during a selected period based on a history of changes during the selected period.
23. The IoT-based system in accordance with claim 21, wherein the cleansing period prediction screen is configured to output a predicted value of a degree of contamination after a predetermined period and a predicted value of a cleansing period, and
wherein the predicted value of the contamination degree after the predetermined period and the predicted value of the purge period are calculated using a program executed based on a purge period prediction algorithm including the following exponential function:
C＝C0e-kt
wherein C indicates the degree of contamination (mg/L) of groundwater after a predetermined period, C0Indicating the initial degree of contamination of the groundwater (mg/L), k the reduction factor (days)-1) And t indicates time (day).
24. The IoT-based system according to claim 23, wherein the predicted value of the degree of pollution after the predetermined period is calculated such that the degree of pollution C (mg/L) of groundwater after the predetermined period (day) and the initial degree of pollution C of groundwater from among the sensor data of the degree of pollution sensor0(mg/L) to calculate the reduction factor k (in days)-1) A graph of the exponential function is output, and the graph is used to calculate a predicted value of the degree of contamination after a predetermined period (days).
25. The IoT-based system according to claim 23, wherein the predicted value of the cleansing period is calculated such that a degree of contamination C (mg/L) of the groundwater and an initial degree of contamination C of the groundwater after a predetermined period (day) from among the sensor data of the contamination degree sensor0(mg/L) to calculate the reduction factor k (in days)-1) A graph of an exponential function is output, a pollution purification target is set using the graph, and a period required to achieve the pollution purification target is calculated as a predicted value of a purification period.
26. The IoT-based system according to claim 23, wherein the purge cycle prediction screen displays the amount of chemical injected and the amount of power consumed during the selected cycle, and calculates and displays a predicted value of the amount of chemical to be injected and a predicted value of the amount of power to be consumed during a cycle corresponding to the predicted value of the purge cycle using a program that applies a purge cycle prediction algorithm based on the amount of chemical injected and the amount of power consumed.
27. The IoT-based system in accordance with any of claims 1-26, wherein a two-dimensional or three-dimensional equipotential surface map of sensor data, a two-dimensional or three-dimensional equipotential surface map of individual contaminants, a two-dimensional or three-dimensional equipotential surface map of pumped volume, a two-dimensional or three-dimensional equipotential surface map of groundwater level, or a two-dimensional or three-dimensional equipotential surface map of indirect cleanup factor is configured to indicate a range of values such that the range of values is differentiated by color.
28. The IoT-based system in accordance with any of claims 1-26, wherein the IoT-based system is configured to allow a cleansing company or regulatory authority online access to perform authentication or control.
CN201911317418.4A 2019-12-19 2019-12-19 IOT-based system Pending CN113003619A (en)

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