CN109813857A - Based on Internet of Things water quality monitoring system monitoring method - Google Patents
Based on Internet of Things water quality monitoring system monitoring method Download PDFInfo
- Publication number
- CN109813857A CN109813857A CN201910174660.4A CN201910174660A CN109813857A CN 109813857 A CN109813857 A CN 109813857A CN 201910174660 A CN201910174660 A CN 201910174660A CN 109813857 A CN109813857 A CN 109813857A
- Authority
- CN
- China
- Prior art keywords
- sensor
- value
- module
- dissolved oxygen
- conductivity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Abstract
The present invention is disclosed based on Internet of Things water quality monitoring system monitoring method, for solving water quality detection equipment with the time growth used, some detection device agings, the problem of influencing detection data authenticity, reduce the reliability of its data；Including sample collection module, pattern detection module, effective computing module, instrument acquisition module, effective computing module, processor, memory module, prewarning unit, communication module, server and user terminal；The present invention utilizes formulaAcquire the error rate coefficient WAi of PH sensor；The true value HAi of PH sensor is acquired using formula HAi=GAi (1+WAi)；To keep detection data more true and reliable, formula is utilizedAcquire the storage period Cai of PH sensor true value；It is timed deletion according to the duration of storage period, guarantees that server stores effective water quality parameter data.
Description
Technical field
The present invention relates to water quality monitoring technical fields, more particularly to are based on Internet of Things water quality monitoring system.
Background technique
With the quickening of modern social development, various pollution problems are also continuously emerged, exhaust emission, solid waste pollution,
Contaminated wastewater all brings very big influence to people's lives, reduces people's lives quality, thus people start for
Problem of environmental pollution is increasingly paid attention to.
It is all that fixed point monitoring is carried out using water quality detection equipment, although can be realized in present water quality monitoring system
Water quality monitoring to the place, water quality detection equipment increase with the time used, and some detection device agings influence testing number
According to authenticity, the reliability of its data is reduced.
Summary of the invention
The purpose of the present invention is to provide be based on Internet of Things water quality monitoring system.
The technical problems to be solved by the invention are as follows:
(1) true value of water quality parameter how is accurately calculated, it is ensured that the reliability of its data；
(2) how to be judged according to the true value of water quality parameter, be convenient for and alarm；
(3) how the true value Data Data of water quality parameter is periodically deleted, in order to save valid data.
The purpose of the present invention can be achieved through the following technical solutions: be based on Internet of Things water quality monitoring system, including sample
Acquisition module, pattern detection module, effective computing module, instrument acquisition module, effective computing module, processor, memory module,
Prewarning unit, communication module, server and user terminal；
The sample collection module is used to acquire multiple water samples in monitoring point waters；Multiple water quality samples are by monitoring point water
The water sample of domain different location and different depth is constituted；The pattern detection module is multiple for acquiring to sample collection module
Water sample carries out water quality parameter detection；The water quality parameter includes pH value, temperature, dissolved oxygen, conductivity and turbidity；The sample
Detection module is made of PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer；PH is passed
Sensor is used to detect the pH value of water sample；Temperature sensor is used to detect the pH value of water sample；Dissolved oxygen sensor is for detecting
The dissolved oxygen of water sample；Conductivity sensor is used to detect the conductivity of water sample, and turbidity transducer is for detecting water sample
Turbidity；The instrument acquisition module for count PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and
The access times of turbidity transducer and use the time；Instrument acquisition module includes time acquisition unit and number statistic unit；When
Between acquisition unit for counting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer
Attack time and end time；Number statistic unit for count PH sensor, temperature sensor, dissolved oxygen sensor,
The access times of conductivity sensor and turbidity transducer；The specific statistic processes of instrument acquisition module is as follows:
A: the use of setting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer
Number is denoted as Pa, Pb, Pc, Pd and Pe respectively；Set PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor
With use time Ta, Tb, Tc, Td and Te of turbidity transducer；The pH value of setting PH sensor output is denoted as GAi, i=1 ...
n；The temperature value of set temperature sensor output is denoted as GBi, i=1 ... n；Set the dissolved oxygen value of dissolved oxygen sensor output
It is denoted as GCi, i=1 ... n；The conductivity value of setting conductivity sensor output is denoted as GDi, i=1 ... n；Turbidity is set to pass
The turbidity value of sensor output is denoted as GEi, i=1 ... n；
B: the access times of Pa, Pb, Pc, Pd and Pe are counted；It is embodied in, for Pa value, works as PH sensor
Output valve GA1, then Pa=1；As PH sensor output valve GA8；Then Pa=8；Similarly, statistics obtains the use of Pb, Pc, Pd and Pe
Number；
C: the attack time for setting PH sensor is denoted as tAai, it is denoted as tA knocking-off timebi；Set temperature sensing
The attack time of device is denoted as tBai, it is denoted as tB knocking-off timebi；Set the attack time note of dissolved oxygen sensor
For tCai, it is denoted as tC knocking-off timebi；The attack time of setting conductivity sensor is denoted as tDai, knocking-off time
It is denoted as tDbi；The attack time of setting turbidity transducer is denoted as tEai, it is denoted as tE knocking-off timebi；
D: formula is utilizedAcquire PH sensor uses time TA value size；Similarly, public affairs are utilized
FormulaWithIt obtains
Obtain TB, TC, TD and TE；
The pattern detection module and instrument acquisition module are by PH sensor, temperature sensor, dissolved oxygen sensor, conductance
The pH value of rate sensor and turbidity transducer, temperature value, dissolved oxygen value, conductivity value, turbidity value and corresponding access times
Effective computing module is sent to using the time；The PH that effective computing module receives pattern detection module and instrument acquisition module is sent
Sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer pH value, temperature value, dissolved oxygen
Value, conductivity value, turbidity value and corresponding access times using time data and data are calculated；Effective computing module
Steps are as follows for calculating:
Step 1: predetermined coefficient value is set to Pa and Ta, Pb and Tb, Pc and Tc, Pd and Td and Pe and Te；
Step 2: the predetermined coefficient of Pa is set as Ja1, the predetermined coefficient of Ta is Ja2；The predetermined coefficient of Pb is set as Jb1,
The predetermined coefficient of Tb is Jb2；The predetermined coefficient of Pc is set as Jc1, the predetermined coefficient of Tc is Jc2；Set the predetermined coefficient of Pd as
The predetermined coefficient of Jd1, Td are Jd2；The predetermined coefficient of Pe is set as Je1, the predetermined coefficient of Te is Je2；
Step 3: formula is utilized
Acquire the error rate coefficient WAi of PH sensor；Wherein ua is interference factor, similarly utilizes formulaAcquire the error ratio of temperature sensor
Example coefficient WBi；Acquire dissolved oxygen biography
The error rate coefficient WCi of sensor；It obtains
Obtain the error rate coefficient WDi of conductivity sensor；Wherein ub, uc, ud are interference factor；Acquire the error rate of turbidity transducer
Coefficient WEi；Wherein ue is interference factor；
Step 4: the true value HAi of PH sensor is acquired using formula HAi=GAi (1+WAi)；Similarly, HBi=
GBi (1+WBi) acquires the true value HBi of temperature sensor；HCi=GCi (1+WCi) acquires dissolved oxygen sensor
True value HCi；HDi=GDi (1+WDi) acquires the true value HDi of conductivity sensor；HEi=GEi (1+WEi) is obtained
Obtain the true value HEi of turbidity transducer；
Effective computing module is by the PH sensor of calculating, temperature sensor, dissolved oxygen sensor, conductivity sensor
Processor is sent to the true value of turbidity transducer；Processor receives PH sensor, the temperature that effective computing module is sent and passes
Sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer true Value Data and send data to memory module
Upper storage；The processor passes through communication module for PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor
Server is sent to the true Value Data of turbidity transducer；Server receives PH sensor, the temperature sensing that processor is sent
Device, dissolved oxygen sensor, conductivity sensor and turbidity transducer true Value Data and stored；The client is used for
Access PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and the turbidity transducer of server internal storage
True Value Data.
Preferably, the warning module is used to alarm command information being sent to administrative staff's terminal；Memory module is also
Including detection unit, the detection unit is for detecting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensors
The true Value Data of device and turbidity transducer, specific detection process are as follows:
A: the permission of setting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer
Value is respectively YA, YB, YC, YD and YE；
B:PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer true value with
Permissible value compares；It is embodied in, works as HAi > YA, then detection unit sends alarm command " 000 " to warning module, early warning
Alarm command is sent to administrative staff's terminal by module；Similarly, work as HBi > YB, then detection unit sends alarm command " 001 " extremely
Warning module；Work as HCi > YC, then detection unit sends alarm command " 010 " to warning module；Work as HDi > YD, then detection unit is sent out
Send alarm command " 100 " to warning module；Work as HEi > YE, then detection unit sends alarm command " 101 " to warning module.
Preferably, the server further includes statistical module, pre-stored computing module and removing module；Statistical module is used for
Count the true of client access PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer
The number of value, pre-stored computing module is for calculating PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor
With the storage period of the true value of turbidity transducer；Removing module is used to sense PH sensor, temperature sensor, dissolved oxygen
The true Value Data of device, conductivity sensor and turbidity transducer is deleted, and the specific processing step of removing module is as follows:
S1: the true of PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer is set
The number of real value is respectively Nai, Nbi, Nci, Ndi and Nei；I=1 ... n；
S2: formula is utilizedAcquire the storage period Cai of PH sensor true value；Similarly, it utilizes
Formula
Acquire the storage period Cbi of temperature sensor true value；The storage period Cci of dissolved oxygen sensor true value；Conductivity
The storage period Cdi of sensor true value；The storage period Cei of turbidity transducer；Wherein K is to fix default basic storage period
Value；
S3: setting setting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer
Storage date of true value be denoted as LAi, LBi, LCi, LDi and LEi respectively；Set server system date Mi；Storage period
It is matched with system data；It is embodied in, works as LA1+Ca1=Mi；Then the true Value Data HA1 of PH sensor is deleted.
A kind of monitoring method based on Internet of Things water quality monitoring system, comprising the following steps:
S1: water sample is acquired by sample collection module；
S2: sample monitoring modular carries out water quality parameter detection to the water sample of acquisition, obtains initial measurement；Specific manifestation
For the initial measurement of PH sensor is GAi；
S3: time and access times are used according to statistical sample detection module, utilize formulaCalculate error rate coefficient WAi；
S4: it by calculating initial measurement and the corresponding value of error rate coefficient, is counted using formula HAi=GAi (1+WAi)
It calculates, the true value of pH value in water quality parameter can be obtained；
S5: the water quality parameter true value of calculating is sent to server and stored by processor.
Beneficial effects of the present invention:
(1) present invention acquires multiple water samples in monitoring point waters by sample collection module；Then pass through pattern detection
Module detects the basic value of water quality parameter, when by the use of instrument acquisition module statistical sample detection module internal sensor
Between and access times；Utilize formulaIt obtains
To the error rate coefficient WAi of PH sensor；The true value of PH sensor is acquired using formula HAi=GAi (1+WAi)
HAi；To keep detection data more true and reliable；
(2) alarm command information is sent in administrative staff's terminal by the present invention by warning module；By real value and permit
Perhaps value compares, to judge to alarm, so that administrative staff is received the water quality parameter information of alarm in time, in order to timely
Processing；
(3) present invention stores PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor by server
With the true value of turbidity transducer, formula is then utilizedAcquire the storage of PH sensor true value
Time limit Cai；It is timed deletion according to the duration of storage period, guarantees that server stores effective water quality parameter data.
Detailed description of the invention
The present invention will be further described below with reference to the drawings.
Fig. 1 is that the present invention is based on the functional block diagrams of Internet of Things water quality monitoring system.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, the present invention is to be examined based on Internet of Things water quality monitoring system, including sample collection module, sample
Survey module, effective computing module, instrument acquisition module, effective computing module, processor, memory module, prewarning unit, communication mould
Block, server and user terminal；
Sample collection module is used to acquire multiple water samples in monitoring point waters；Multiple water quality samples by monitoring point waters not
It is constituted with the water sample of position and different depth；Multiple water samples that pattern detection module is used to acquire sample collection module into
The detection of row water quality parameter；Water quality parameter includes pH value, temperature, dissolved oxygen, conductivity and turbidity；Pattern detection module is sensed by PH
Device, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer are constituted；PH sensor is for detecting water sample
This pH value；Temperature sensor is used to detect the pH value of water sample；Dissolved oxygen sensor is used to detect the dissolved oxygen of water sample；Electricity
Conductivity sensor is used to detect the conductivity of water sample, and turbidity transducer is used to detect the turbidity of water sample；Instrument acquisition module
For count PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer access times and
Use the time；Instrument acquisition module includes time acquisition unit and number statistic unit；Time acquisition unit is for counting PH biography
Sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer attack time and at the end of
Between；Number statistic unit is passed for counting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity
The access times of sensor；The specific statistic processes of instrument acquisition module is as follows:
A: the use of setting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer
Number is denoted as Pa, Pb, Pc, Pd and Pe respectively；Set PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor
With use time Ta, Tb, Tc, Td and Te of turbidity transducer；The pH value of setting PH sensor output is denoted as GAi, i=1 ...
n；The temperature value of set temperature sensor output is denoted as GBi, i=1 ... n；Set the dissolved oxygen value of dissolved oxygen sensor output
It is denoted as GCi, i=1 ... n；The conductivity value of setting conductivity sensor output is denoted as GDi, i=1 ... n；Turbidity is set to pass
The turbidity value of sensor output is denoted as GEi, i=1 ... n；
B: the access times of Pa, Pb, Pc, Pd and Pe are counted；It is embodied in, for Pa value, works as PH sensor
Output valve GA1, then Pa=1；As PH sensor output valve GA8；Then Pa=8；Similarly, statistics obtains the use of Pb, Pc, Pd and Pe
Number；
C: the attack time for setting PH sensor is denoted as tAai, it is denoted as tA knocking-off timebi；Set temperature sensing
The attack time of device is denoted as tBai, it is denoted as tB knocking-off timebi；Set the attack time note of dissolved oxygen sensor
For tCai, it is denoted as tC knocking-off timebi；The attack time of setting conductivity sensor is denoted as tDai, knocking-off time
It is denoted as tDbi；The attack time of setting turbidity transducer is denoted as tEai, it is denoted as tE knocking-off timebi；
D: formula is utilizedAcquire PH sensor uses time TA value size；Similarly, public affairs are utilized
FormulaWithIt obtains
Obtain TB, TC, TD and TE；
Pattern detection module and instrument acquisition module pass PH sensor, temperature sensor, dissolved oxygen sensor, conductivity
The use of the pH value of sensor and turbidity transducer, temperature value, dissolved oxygen value, conductivity value, turbidity value and corresponding access times
Time is sent to effective computing module；The PH sensing that effective computing module receives pattern detection module and instrument acquisition module is sent
Device, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer pH value, temperature value, dissolved oxygen value, electricity
Conductivity value, the use time data of turbidity value and corresponding access times simultaneously calculate data；Effective computing module calculates
Steps are as follows:
Step 1: predetermined coefficient value is set to Pa and Ta, Pb and Tb, Pc and Tc, Pd and Td and Pe and Te；
Step 2: the predetermined coefficient of Pa is set as Ja1, the predetermined coefficient of Ta is Ja2；The predetermined coefficient of Pb is set as Jb1,
The predetermined coefficient of Tb is Jb2；The predetermined coefficient of Pc is set as Jc1, the predetermined coefficient of Tc is Jc2；Set the predetermined coefficient of Pd as
The predetermined coefficient of Jd1, Td are Jd2；The predetermined coefficient of Pe is set as Je1, the predetermined coefficient of Te is Je2；
Step 3: formula is utilizedIt obtains
Obtain the error rate coefficient WAi of PH sensor；Wherein ua is interference factor, similarly utilizes formulaAcquire the error ratio of temperature sensor
Example coefficient WBi；Acquire dissolved oxygen
The error rate coefficient WCi of sensor；
Acquire the error rate coefficient WDi of conductivity sensor；Wherein ub, uc, ud are interference factor；Acquire the error rate of turbidity transducer
Coefficient WEi；Wherein ue is interference factor；Pattern detection module is used in long-time, with access times and uses the increasing of time
Adding, the error of the detection of pattern detection module is bigger, therefore, according to access times and the relationship between time and error is used,
The error rate coefficient that sample collection inside modules sensor is calculated by using number and using the time, by increasing error
Value, the true value of measurement are more accurate；
Step 4: the true value HAi of PH sensor is acquired using formula HAi=GAi (1+WAi)；Similarly, HBi=
GBi (1+WBi) acquires the true value HBi of temperature sensor；HCi=GCi (1+WCi) acquires dissolved oxygen sensor
True value HCi；HDi=GDi (1+WDi) acquires the true value HDi of conductivity sensor；HEi=GEi (1+WEi) is obtained
Obtain the true value HEi of turbidity transducer；
Effective computing module is by the PH sensor of calculating, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbid
The true value of degree sensor is sent to processor；Processor receive the PH sensor that effective computing module sends, temperature sensor,
Dissolved oxygen sensor, conductivity sensor and turbidity transducer true Value Data and sending data in memory module deposit
Storage；Processor is passed PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity by communication module
The true Value Data of sensor is sent to server；Server receives PH sensor, the temperature sensor, dissolved oxygen that processor is sent
Sensor, conductivity sensor and turbidity transducer true Value Data and stored；Client is for accessing in server
Portion storage PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer true value number
According to.
Warning module is used to alarm command information being sent to administrative staff's terminal；Memory module further includes that detection is single
Member, detection unit is for detecting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer
True Value Data, specific detection process is as follows:
A: the permission of setting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer
Value is respectively YA, YB, YC, YD and YE；
B:PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer true value with
Permissible value compares；It is embodied in, works as HAi > YA, then detection unit sends alarm command " 000 " to warning module, early warning
Alarm command is sent to administrative staff's terminal by module；Similarly, work as HBi > YB, then detection unit sends alarm command " 001 " extremely
Warning module；Work as HCi > YC, then detection unit sends alarm command " 010 " to warning module；Work as HDi > YD, then detection unit is sent out
Send alarm command " 100 " to warning module；Work as HEi > YE, then detection unit sends alarm command " 101 " to warning module.
Server further includes statistical module, pre-stored computing module and removing module；Statistical module is for counting client
The number of the true value of PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer is accessed,
Pre-stored computing module is for calculating PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity sensing
The storage period of the true value of device；Removing module is used to pass PH sensor, temperature sensor, dissolved oxygen sensor, conductivity
The true Value Data of sensor and turbidity transducer is deleted, and the specific processing step of removing module is as follows:
S1: the true of PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer is set
The number of real value is respectively Nai, Nbi, Nci, Ndi and Nei；I=1 ... n；
S2: formula is utilizedAcquire the storage period Cai of PH sensor true value；Similarly, sharp
Use formula
Acquire the storage period Cbi of temperature sensor true value；The storage period Cci of dissolved oxygen sensor true value；Conductivity
The storage period Cdi of sensor true value；The storage period Cei of turbidity transducer；Wherein K is to fix default basic storage period
Value；
S3: setting setting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer
Storage date of true value be denoted as LAi, LBi, LCi, LDi and LEi respectively；Set server system date Mi；Storage period
It is matched with system data；It is embodied in, works as LA1+Ca1=Mi；Then the true Value Data HA1 of PH sensor is deleted.
A kind of monitoring method based on Internet of Things water quality monitoring system, comprising the following steps:
S1: water sample is acquired by sample collection module；
S2: sample monitoring modular carries out water quality parameter detection to the water sample of acquisition, obtains initial measurement；Specific manifestation
For the initial measurement of PH sensor is GAi；
S3: time and access times are used according to statistical sample detection module, utilize formulaCalculate error rate coefficient WAi；
S4: it by calculating initial measurement and the corresponding value of error rate coefficient, is counted using formula HAi=GAi (1+WAi)
It calculates, the true value of pH value in water quality parameter can be obtained；
S5: the water quality parameter true value of calculating is sent to server and stored by processor.
The working principle of the invention:
Multiple water samples in monitoring point waters are acquired by sample collection module；Then it is detected by pattern detection module
The basic value of water quality parameter, by instrument acquisition module statistical sample detection module internal sensor using the time and using secondary
Number；Utilize formulaAcquire PH sensor
Error rate coefficient WAi；The true value HAi of PH sensor is acquired using formula HAi=GAi (1+WAi)；To make to examine
Measured data is more true and reliable；Alarm command information is sent in administrative staff's terminal by the present invention by warning module；Pass through
Real value is compared with permissible value, to judge to alarm, administrative staff is allow to receive the water quality parameter information of alarm in time, with
Convenient for handling in time；PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbid are stored by server
The true value of sensor is spent, formula is then utilizedAcquire the storage period of PH sensor true value
Cai；It is timed deletion according to the duration of storage period, guarantees that server stores effective water quality parameter data.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple
Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.
Claims (4)
1. being based on Internet of Things water quality monitoring system, which is characterized in that including sample collection module, pattern detection module, effectively meter
Calculate module, instrument acquisition module, effective computing module, processor, memory module, prewarning unit, communication module, server and use
Family end；
The sample collection module is used to acquire multiple water samples in monitoring point waters；Multiple water quality samples by monitoring point waters not
It is constituted with the water sample of position and different depth；The pattern detection module is used for the multiple water samples acquired to sample collection module
This progress water quality parameter detection；The water quality parameter includes pH value, temperature, dissolved oxygen, conductivity and turbidity；The pattern detection
Module is made of PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer；PH sensor
For detecting the pH value of water sample；Temperature sensor is used to detect the pH value of water sample；Dissolved oxygen sensor is for detecting water sample
This dissolved oxygen；Conductivity sensor is used to detect the conductivity of water sample, and turbidity transducer is used to detect the turbidity of water sample；
The instrument acquisition module is passed for counting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity
The access times of sensor and use the time；Instrument acquisition module includes time acquisition unit and number statistic unit；Time acquisition
The work that unit is used to count PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer is opened
Begin time and end time；Number statistic unit is for counting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity
The access times of sensor and turbidity transducer；The specific statistic processes of instrument acquisition module is as follows:
A: setting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer access times
It is denoted as Pa, Pb, Pc, Pd and Pe respectively；Set PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbid
That spends sensor uses time Ta, Tb, Tc, Td and Te；The pH value of setting PH sensor output is denoted as GAi, i=1 ... n；If
The temperature value for determining temperature sensor output is denoted as GBi, i=1 ... n；The dissolved oxygen value of setting dissolved oxygen sensor output is denoted as
GCi, i=1 ... n；The conductivity value of setting conductivity sensor output is denoted as GDi, i=1 ... n；Set turbidity transducer
The turbidity value of output is denoted as GEi, i=1 ... n；
B: the access times of Pa, Pb, Pc, Pd and Pe are counted；It is embodied in, for Pa value, when PH sensor exports
Value GA1, then Pa=1；As PH sensor output valve GA8；Then Pa=8；Similarly, statistics obtains the use time of Pb, Pc, Pd and Pe
Number；
C: the attack time for setting PH sensor is denoted as tAai, it is denoted as tA knocking-off timebi；Set temperature sensor
Attack time is denoted as tBai, it is denoted as tB knocking-off timebi；The attack time of setting dissolved oxygen sensor is denoted as
tCai, it is denoted as tC knocking-off timebi；The attack time of setting conductivity sensor is denoted as tDai, remember knocking-off time
For tDbi；The attack time of setting turbidity transducer is denoted as tEai, it is denoted as tE knocking-off timebi；
D: formula is utilizedAcquire PH sensor uses time TA value size；Similarly, formula is utilizedWithIt obtains
Obtain TB, TC, TD and TE；
The pattern detection module and instrument acquisition module pass PH sensor, temperature sensor, dissolved oxygen sensor, conductivity
The use of the pH value of sensor and turbidity transducer, temperature value, dissolved oxygen value, conductivity value, turbidity value and corresponding access times
Time is sent to effective computing module；The PH sensing that effective computing module receives pattern detection module and instrument acquisition module is sent
Device, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer pH value, temperature value, dissolved oxygen value, electricity
Conductivity value, the use time data of turbidity value and corresponding access times simultaneously calculate data；Effective computing module calculates
Steps are as follows:
Step 1: predetermined coefficient value is set to Pa and Ta, Pb and Tb, Pc and Tc, Pd and Td and Pe and Te；
Step 2: the predetermined coefficient of Pa is set as Ja1, the predetermined coefficient of Ta is Ja2；The predetermined coefficient of Pb is set as Jb1, Tb's
Predetermined coefficient is Jb2；The predetermined coefficient of Pc is set as Jc1, the predetermined coefficient of Tc is Jc2；The predetermined coefficient of Pd is set as Jd1,
The predetermined coefficient of Td is Jd2；The predetermined coefficient of Pe is set as Je1, the predetermined coefficient of Te is Je2；
Step 3: formula is utilizedIt obtains
Obtain the error rate coefficient WAi of PH sensor；Wherein ua is interference factor, similarly utilizes formulaAcquire the error ratio of temperature sensor
Example coefficient WBi；Acquire dissolved oxygen
The error rate coefficient WCi of sensor；
Acquire the error rate coefficient WDi of conductivity sensor；Wherein ub, uc, ud are interference factor；Acquire the error rate of turbidity transducer
Coefficient WEi；Wherein ue is interference factor；
Step 4: the true value HAi of PH sensor is acquired using formula HAi=GAi (1+WAi)；Similarly, (1 HBi=GBi
+ WBi) acquire the true value HBi of temperature sensor；HCi=GCi (1+WCi) acquires the true of dissolved oxygen sensor
Value HCi；HDi=GDi (1+WDi) acquires the true value HDi of conductivity sensor；HEi=GEi (1+WEi) is acquired
The true value HEi of turbidity transducer；
Effective computing module is by the PH sensor of calculating, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbid
The true value of degree sensor is sent to processor；Processor receive the PH sensor that effective computing module sends, temperature sensor,
Dissolved oxygen sensor, conductivity sensor and turbidity transducer true Value Data and sending data in memory module deposit
Storage；The processor is by communication module by PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbid
The true Value Data of degree sensor is sent to server；Server receives the PH sensor that processor sends, temperature sensor, molten
It solves the true Value Data of lambda sensor, conductivity sensor and turbidity transducer and is stored；The client is for accessing
The PH sensor of server internal storage, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer it is true
Real value data.
2. according to claim 1 be based on Internet of Things water quality monitoring system, which is characterized in that the warning module is used for will
Alarm command information is sent in administrative staff's terminal；Memory module further includes detection unit, and the detection unit is for detecting
PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer true Value Data, it is specific to examine
Survey process is as follows:
A: the permissible value point of PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer is set
It Wei not YA, YB, YC, YD and YE；
True value and the permission of b:PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer
Value compares；It is embodied in, works as HAi > YA, then detection unit sends alarm command " 000 " to warning module, warning module
Alarm command is sent to administrative staff's terminal；Similarly, work as HBi > YB, then detection unit sends alarm command " 001 " to early warning
Module；Work as HCi > YC, then detection unit sends alarm command " 010 " to warning module；Work as HDi > YD, then detection unit sends report
It is alert to instruct " 100 " to warning module；Work as HEi > YE, then detection unit sends alarm command " 101 " to warning module.
3. according to claim 1 be based on Internet of Things water quality monitoring system, which is characterized in that the server further includes system
Count module, pre-stored computing module and removing module；Statistical module is for counting client access PH sensor, temperature sensing
Device, dissolved oxygen sensor, conductivity sensor and turbidity transducer true value number, pre-stored computing module is for calculating
PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer true value storage period；
Removing module is used for the true of PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer
Value Data is deleted, and the specific processing step of removing module is as follows:
S1: setting PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer true value
Number be respectively Nai, Nbi, Nci, Ndi and Nei；I=1 ... n；
S2: formula is utilizedAcquire the storage period Cai of PH sensor true value；Similarly, public affairs are utilized
Formula It obtains
Obtain the storage period Cbi of temperature sensor true value；The storage period Cci of dissolved oxygen sensor true value；Conductivity passes
The storage period Cdi of sensor true value；The storage period Cei of turbidity transducer；Wherein K is to fix default basic storage period
Value；
S3: setting sets the true of PH sensor, temperature sensor, dissolved oxygen sensor, conductivity sensor and turbidity transducer
The storage date of real value is denoted as LAi, LBi, LCi, LDi and LEi respectively；Set server system date Mi；Storage period be
The system date is matched；It is embodied in, works as LA1+Ca1=Mi；Then the true Value Data HA1 of PH sensor is deleted.
4. a kind of monitoring method based on Internet of Things water quality monitoring system, which comprises the following steps:
S1: water sample is acquired by sample collection module；
S2: sample monitoring modular carries out water quality parameter detection to the water sample of acquisition, obtains initial measurement；It is embodied in,
The initial measurement of PH sensor is GAi；
S3: time and access times are used according to statistical sample detection module, utilize formulaCalculate error rate coefficient WAi；
S4: by calculating initial measurement and the corresponding value of error rate coefficient, being calculated using formula HAi=GAi (1+WAi),
The true value of pH value in water quality parameter can be obtained；
S5: the water quality parameter true value of calculating is sent to server and stored by processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910174660.4A CN109813857B (en) | 2019-03-08 | 2019-03-08 | Monitoring method based on Internet of things water quality monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910174660.4A CN109813857B (en) | 2019-03-08 | 2019-03-08 | Monitoring method based on Internet of things water quality monitoring system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109813857A true CN109813857A (en) | 2019-05-28 |
| CN109813857B CN109813857B (en) | 2021-07-13 |
Family
ID=66608417
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910174660.4A Active CN109813857B (en) | 2019-03-08 | 2019-03-08 | Monitoring method based on Internet of things water quality monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109813857B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110987875A (en) * | 2019-12-24 | 2020-04-10 | 上海蓝长自动化科技有限公司 | Water turbidity detection method for spatial fusion based on support degree and confidence degree |
| CN112070393A (en) * | 2020-09-07 | 2020-12-11 | 宜昌湖蓝科技开发有限公司 | Wastewater quality detection system that industry and agriculture production discharged |
| CN112114109A (en) * | 2020-09-23 | 2020-12-22 | 安徽元通水处理设备有限公司 | Reverse osmosis water quality standard exceeding detection protection system |
| CN113450546A (en) * | 2021-06-30 | 2021-09-28 | 湖北大眼界企业管理有限公司 | Standardized service terminal for sewage discharge |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS61251769A (en) * | 1985-03-29 | 1986-11-08 | Chikiyuu Kagaku Kk | Continuous monitoring method for water quality using fish |
| CN103728891A (en) * | 2013-12-25 | 2014-04-16 | 力合科技（湖南）股份有限公司 | Method and device for controlling water quality on-line monitoring data |
| US8958917B2 (en) * | 1998-12-17 | 2015-02-17 | Hach Company | Method and system for remote monitoring of fluid quality and treatment |
| US20160209346A1 (en) * | 2015-01-20 | 2016-07-21 | Masco Corporation | Multi-functional water quality sensor |
| CN106290772A (en) * | 2016-10-10 | 2017-01-04 | 深圳万发创新进出口贸易有限公司 | A kind of sewage monitoring system |
| CN106530140A (en) * | 2016-12-12 | 2017-03-22 | 上海歆峥智能科技有限公司 | Online monitoring system of water quality |
| CN106918684A (en) * | 2017-02-17 | 2017-07-04 | 清华大学 | A kind of water quality pollution early warning method |
| CN108846423A (en) * | 2018-05-29 | 2018-11-20 | 中国农业大学 | Water quality prediction method and system |
| CN109212153A (en) * | 2018-10-16 | 2019-01-15 | 深圳美特优科技有限公司 | A kind of water quality monitoring system based on wireless sensor network |
-
2019
- 2019-03-08 CN CN201910174660.4A patent/CN109813857B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS61251769A (en) * | 1985-03-29 | 1986-11-08 | Chikiyuu Kagaku Kk | Continuous monitoring method for water quality using fish |
| US8958917B2 (en) * | 1998-12-17 | 2015-02-17 | Hach Company | Method and system for remote monitoring of fluid quality and treatment |
| CN103728891A (en) * | 2013-12-25 | 2014-04-16 | 力合科技（湖南）股份有限公司 | Method and device for controlling water quality on-line monitoring data |
| US20160209346A1 (en) * | 2015-01-20 | 2016-07-21 | Masco Corporation | Multi-functional water quality sensor |
| CN106290772A (en) * | 2016-10-10 | 2017-01-04 | 深圳万发创新进出口贸易有限公司 | A kind of sewage monitoring system |
| CN106530140A (en) * | 2016-12-12 | 2017-03-22 | 上海歆峥智能科技有限公司 | Online monitoring system of water quality |
| CN106918684A (en) * | 2017-02-17 | 2017-07-04 | 清华大学 | A kind of water quality pollution early warning method |
| CN108846423A (en) * | 2018-05-29 | 2018-11-20 | 中国农业大学 | Water quality prediction method and system |
| CN109212153A (en) * | 2018-10-16 | 2019-01-15 | 深圳美特优科技有限公司 | A kind of water quality monitoring system based on wireless sensor network |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110987875A (en) * | 2019-12-24 | 2020-04-10 | 上海蓝长自动化科技有限公司 | Water turbidity detection method for spatial fusion based on support degree and confidence degree |
| CN110987875B (en) * | 2019-12-24 | 2022-08-12 | 上海蓝长自动化科技有限公司 | Water turbidity detection method for spatial fusion based on support degree and confidence degree |
| CN112070393A (en) * | 2020-09-07 | 2020-12-11 | 宜昌湖蓝科技开发有限公司 | Wastewater quality detection system that industry and agriculture production discharged |
| CN112070393B (en) * | 2020-09-07 | 2021-06-01 | 宜昌湖蓝科技开发有限公司 | Wastewater quality detection system that industry and agriculture production discharged |
| CN112114109A (en) * | 2020-09-23 | 2020-12-22 | 安徽元通水处理设备有限公司 | Reverse osmosis water quality standard exceeding detection protection system |
| CN113450546A (en) * | 2021-06-30 | 2021-09-28 | 湖北大眼界企业管理有限公司 | Standardized service terminal for sewage discharge |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109813857B (en) | 2021-07-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109813857A (en) | Based on Internet of Things water quality monitoring system monitoring method | |
| CN108761012A (en) | A kind of long-range water quality environment monitoring system based on Internet of Things | |
| CN109668607B (en) | Method for monitoring tiny leakage of gas meter | |
| CN114047472B (en) | Metering error monitoring system of intelligent ammeter and monitoring method and device thereof | |
| CN105758904A (en) | Multi-parameter water quality monitoring system and method and their application | |
| CN108779995A (en) | Sensor for detecting environmental parameter and the method for calibrating this sensor | |
| CN109060888A (en) | A kind of sampling method and device | |
| CN115200647A (en) | Aquaculture environment monitoring management method and system | |
| CN209296716U (en) | A kind of Water quality detected instrument | |
| CN113670823A (en) | Material surface relative humidity detection device under atmospheric environment | |
| CN209460244U (en) | A kind of water quality monitor and system | |
| CN105763170B (en) | A kind of electric power signal digital filtering method | |
| CN205175954U (en) | Quality of water multi -parameter on -line monitoring device | |
| CN109115270B (en) | A kind of data collection process method of multi-parameter water quality data parallel acquisition system | |
| CN106405035A (en) | Automatic oxygen-increasing device and method based on MEMS gas pressure sensor | |
| CN109374849A (en) | Sewage treatment on-line monitoring system | |
| CN109653727A (en) | A kind of oil-water well well head datamation acquisition device | |
| CN113333304B (en) | Environment-friendly coiled material detection, evaluation and sorting system based on Internet | |
| TW201124711A (en) | Monitoring system and method for water quality and quantity | |
| CN205786583U (en) | A kind of water quality of river detector | |
| CN109540174A (en) | Based on the multi-site of sea test range with the comparison method of model marine instrument and equipment | |
| CN213843213U (en) | Universal multifunctional dissolved oxygen tester calibrating device | |
| CN116399418B (en) | Water level identification method and system based on fixed camera | |
| CN220231571U (en) | Fermented substance resistivity detection device | |
| CN113295824B (en) | Portable intelligent gas detection alarm instrument based on Internet of things transmission data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210630 Address after: 330000 3rd floor, Guiyuan Avenue, Nanchang Economic and Technological Development Zone, Nanchang City, Jiangxi Province Applicant after: Jiangxi Telecom Information Industry Co.,Ltd. Address before: 312513 Zhejiang province Shaoxing city Xinchang County South Township Shi Xi Village Applicant before: XINCHANG COUNTY YILIN ENVIRONMENTAL PROTECTION TECHNOLOGY Co.,Ltd. |