CN110458529A - A kind of water pollution prediction method based on big data - Google Patents
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- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 4
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Abstract
The present invention relates to information technology fields, especially a kind of water pollution analysis based on big data, prediction technique, include the following steps: plant information management process, real-time monitoring manages step, water analysis management process, big data analysis step, user management step, real-time monitoring is carried out to pollutant discharge of enterprise situation, the process of big data and the big data processing of monitoring simultaneously, the data analysis function of sewage supervisory systems can be helped to adapt to the diversification of sewage data, magnitude is big and the demand of real-time, realize plant information management, real-time monitoring management, water analysis management, big data analysis and the several subsystems of user management, comprehensive intelligent management can not only be carried out to pollutant discharge of enterprise situation, it can also carry out big data analysis and prediction, actively promote the construction and development of enterprise's big data environment.
Description
Technical field
The present invention relates to information technology field more particularly to a kind of water pollution prediction methods based on big data.
Background technique
With being constantly progressive for society, environmentally friendly importance is increasingly improved, therefore the importance of sewage quality detection technology
Increasingly significant, existing sewage detection method mostly uses greatly the method detected in the lab after sampling to carry out commenting for water quality
Estimate, need using a series of experimental facilities and experimental implementation, time-consuming and laborious, the result of detection is more single, while one-sided
It is calculated by software for calculation, the accuracy of detection is lower, and the variation of water quality is all the current detection with time change
System can only fix the detection to the water sample of certain time period, have a single function.In recent years, universal with Internet of Things, it can be with
The sewage data got using sensor are passed in internet again, and then related data carries out visualized management, but
With the variation of scope of the enterprise and the market demand, the scale and type of data all constantly increase, this divides enterprise's water pollution
Analysis and prediction propose challenge.
Summary of the invention
The purpose of the present invention is to solve water pollution situation exists in the prior art to be difficult to the shortcomings that analyzing prediction, and mention
A kind of water pollution prediction method based on big data out.
To achieve the goals above, present invention employs following technical solutions:
A kind of water pollution prediction method based on big data is designed, is included the following steps:
S1, plant information management process, design factory's basic information management module, sewage discharge monitoring point operating status by
Monitoring point state management module management, user check that monitoring dotted state can click directly on related monitoring point, equipment essential information pipe
Reason module is responsible for managing the inspection and maintenance of the waste removal equipment of each factory；
S2, real-time monitoring manage step, and design real-time monitoring manages module, and it includes sewage information that real-time monitoring, which manages module,
Real-time exhibition module, in real time exceeded monitoring analysis module, real-time exceeded forewarning management module, wherein sewage information real-time show mould
Measurable sewage composition information of each monitoring point is directly shown on the display apparatus that exceeded monitoring analysis in real time is first by block
By showing exceeded monitoring result after the analysis and processing to data, early warning will do it if exceeded；
S3, water analysis management process design water analysis management module, and water analysis management module includes basic data
Management module, analysis data management module and data statement management module, user can be by logging in the subsystem after design
Analysis Results of Water Quality is checked and updated to management module；
S4, big data analysis step, design big data analysis module, and sewage data are obtained by the sensor measurement of terminal
After be transferred in system, need that data analysis and process is removed the data of redundancy and mistake, then passes through correlation in systems
Duty be measurement method, known indicator combination is obtained into complicated index value, is finally visualized by chart, using table,
Straight line, curve etc. intuitively show the data of monitoring, select different monitoring points, show corresponding monitor value；
S5, user management step, designing user management module, the role by managing user set user right, simultaneously
It is responsible for the running log of management system, is supported for the later maintenance carved lacquerware data of system.
Preferably, factory's basic information management module further includes assets management module, maintenance management module, inspection pipe
Manage module and maintenance management module.
Preferably, the exceeded monitoring analysis module in real time includes pH value monitoring sensor, dissolved-oxygen monitoring sensor, change
Learn oxygen demand monitoring sensor, biochemical oxygen demand (BOD) monitors sensor, conductivity sensor.
Preferably, the big data analysis module includes big data memory module and big data analysis prediction module, big number
Time series forecasting is used for storing the real-time sewage emission information monitored, big data analysis prediction module according to memory module
Model carries out the processing of linear and nonlinear to time prediction module according to actual needs, then obtains accurate emitted smoke
Model.
A kind of water pollution prediction method based on big data proposed by the present invention, beneficial effect are: arranging enterprise
Dirty situation carries out real-time monitoring, while the process of big data and the big data processing monitored, can help sewage supervisory systems
Data analysis function adapt to that the diversification of sewage data, magnitude be big and the demand of real-time, realize plant information management, in real time
Monitoring management, water analysis management, big data analysis and the several subsystems of user management, can not only to pollutant discharge of enterprise situation into
The comprehensive intelligent management of row, can also carry out big data analysis and prediction, actively promote the construction and development of enterprise's big data environment.
Detailed description of the invention
Fig. 1 is a kind of functional block diagram of the water pollution prediction method based on big data proposed by the present invention.
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.
Referring to Fig.1, a kind of water pollution prediction method based on big data, includes the following steps:
S1, plant information management process, design factory's basic information management module, sewage discharge monitoring point operating status by
Monitoring point state management module management, user check that monitoring dotted state can click directly on related monitoring point, equipment essential information pipe
Reason module is responsible for managing the inspection and maintenance of the waste removal equipment of each factory；
S2, real-time monitoring manage step, and design real-time monitoring manages module, and it includes sewage information that real-time monitoring, which manages module,
Real-time exhibition module, in real time exceeded monitoring analysis module, real-time exceeded forewarning management module, wherein sewage information real-time show mould
Measurable sewage composition information of each monitoring point is directly shown on the display apparatus that exceeded monitoring analysis in real time is first by block
By showing exceeded monitoring result after the analysis and processing to data, early warning will do it if exceeded；
S3, water analysis management process design water analysis management module, and water analysis management module includes basic data
Management module, analysis data management module and data statement management module, user can be by logging in the subsystem after design
Analysis Results of Water Quality is checked and updated to management module；
S4, big data analysis step, design big data analysis module, and sewage data are obtained by the sensor measurement of terminal
After be transferred in system, need that data analysis and process is removed the data of redundancy and mistake, then passes through correlation in systems
Duty be measurement method, known indicator combination is obtained into complicated index value, is finally visualized by chart, using table,
Straight line, curve etc. intuitively show the data of monitoring, select different monitoring points, show corresponding monitor value；
S5, user management step, designing user management module, the role by managing user set user right, simultaneously
It is responsible for the running log of management system, is supported for the later maintenance carved lacquerware data of system.
Factory's basic information management module further includes assets management module, maintenance management module, inspection management module and dimension
Repair management module.Big data analysis module includes big data memory module and big data analysis prediction module, and big data stores mould
Block uses time series predicting model, root for storing the real-time sewage emission information monitored, big data analysis prediction module
The processing for carrying out linear and nonlinear to time prediction module according to actual demand, then obtains accurate emitted smoke model, together
When to pollutant discharge of enterprise situation carry out real-time monitoring, monitoring big data and big data processing process, sewage can be helped to supervise
The data analysis function adaptation sewage data of guard system are diversified, magnitude is big and the demand of real-time, realize plant information pipe
Reason, real-time monitoring management, water analysis management, big data analysis and the several subsystems of user management, can not only arrange enterprise
Dirty situation carries out comprehensive intelligent management, can also carry out big data analysis and prediction, actively promote building for enterprise's big data environment
And if development.
Real-time exceeded monitoring analysis module includes pH value monitoring sensor, dissolved-oxygen monitoring sensor, COD prison
Sensor, biochemical oxygen demand (BOD) monitoring sensor, conductivity sensor are surveyed, multiple-quality water monitoring sensor is for monitoring plant emissions
The specific soiling value of sewage provides accurately data source for big data analysis module.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (4)
1. a kind of water pollution prediction method based on big data, which comprises the steps of:
S1, plant information management process design factory's basic information management module, and sewage discharge monitoring point operating status is by monitoring
Dotted state management module management, user check that monitoring dotted state can click directly on related monitoring point, equipment basic information management mould
Block is responsible for managing the inspection and maintenance of the waste removal equipment of each factory；
S2, real-time monitoring manage step, and design real-time monitoring manages module, and it includes that sewage information is real-time that real-time monitoring, which manages module,
Display module, in real time exceeded monitoring analysis module, in real time exceeded forewarning management module, wherein sewage information real-time show module will
Measurable sewage composition information of each monitoring point directly shows that on the display apparatus exceeded monitoring analysis passes through first in real time
To exceeded monitoring result is shown after the analysis and processing of data, early warning will do it if exceeded；
S3, water analysis management process design water analysis management module, and water analysis management module includes basic data management
Module, analysis data management module and data statement management module, user can be by logging in the management subsystem after design
Analysis Results of Water Quality is checked and updated to module；
S4, big data analysis step, design big data analysis module, and sewage data pass after being obtained by the sensor measurement of terminal
It is defeated into system, need that data analysis and process is removed the data of redundancy and mistake, then passes through relevant duty in systems
Be measurement method, known indicator combination obtained into complicated index value, is finally visualized by chart, using table, straight line,
Curve etc. intuitively shows the data of monitoring, selects different monitoring points, shows corresponding monitor value；
S5, user management step, designing user management module, the role by managing user set user right, are responsible for simultaneously
The running log of management system is supported for the later maintenance carved lacquerware data of system.
2. a kind of water pollution prediction method based on big data according to claim 1, which is characterized in that described
Factory's basic information management module further includes assets management module, maintenance management module, inspection management module and maintenance management mould
Block.
3. a kind of water pollution prediction method based on big data according to claim 1, which is characterized in that described
Big data analysis module includes big data memory module and big data analysis prediction module, and big data memory module is for storing prison
The real-time sewage emission information measured, big data analysis prediction module uses time series predicting model, right according to actual needs
Time prediction module carries out the processing of linear and nonlinear, then obtains accurate emitted smoke model.
4. a kind of water pollution prediction method based on big data according to claim 1, which is characterized in that described
Real-time exceeded monitoring analysis module include pH value monitoring sensor, dissolved-oxygen monitoring sensor, COD monitor sensor,
Biochemical oxygen demand (BOD) monitors sensor, conductivity sensor.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110865036A (en) * | 2019-12-12 | 2020-03-06 | 联桥网云信息科技（长沙）有限公司 | Rotary equipment monitoring platform and monitoring method based on spectral analysis |
| CN111563718A (en) * | 2020-03-29 | 2020-08-21 | 浙江源态环保科技服务有限公司 | Rural domestic sewage information management system |
| CN112150334A (en) * | 2020-09-25 | 2020-12-29 | 山东科技大学 | Multi-parameter environment-friendly software control system and method for water quality monitoring |
| CN112801337A (en) * | 2020-12-07 | 2021-05-14 | 河北志晟信息技术股份有限公司 | Regional enterprise pollution discharge control method and system based on pollution data |
| CN115108594A (en) * | 2021-03-23 | 2022-09-27 | 东莞理工学院 | Sewage automatic detection management system based on high in clouds remote control |
| CN115112850A (en) * | 2022-07-25 | 2022-09-27 | 海丝埃睿迪数字科技有限公司 | Water quality monitoring system based on big data |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110865036A (en) * | 2019-12-12 | 2020-03-06 | 联桥网云信息科技（长沙）有限公司 | Rotary equipment monitoring platform and monitoring method based on spectral analysis |
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Application publication date: 20191115 |