CN112374556B - Sewage abnormal discharge monitoring system and monitoring method thereof - Google Patents
Sewage abnormal discharge monitoring system and monitoring method thereof Download PDFInfo
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- CN112374556B CN112374556B CN202011260909.2A CN202011260909A CN112374556B CN 112374556 B CN112374556 B CN 112374556B CN 202011260909 A CN202011260909 A CN 202011260909A CN 112374556 B CN112374556 B CN 112374556B
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- 239000010865 sewage Substances 0.000 title claims abstract description 167
- 238000012544 monitoring process Methods 0.000 title claims abstract description 46
- 230000002159 abnormal effect Effects 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 title claims abstract description 13
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 101
- 230000005611 electricity Effects 0.000 claims abstract description 19
- 238000006073 displacement reaction Methods 0.000 claims description 41
- 230000005540 biological transmission Effects 0.000 claims description 24
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 7
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 7
- 229910052698 phosphorus Inorganic materials 0.000 claims description 7
- 239000011574 phosphorus Substances 0.000 claims description 7
- 229910001220 stainless steel Inorganic materials 0.000 claims description 7
- 239000010935 stainless steel Substances 0.000 claims description 7
- 230000005856 abnormality Effects 0.000 claims description 6
- 230000001105 regulatory effect Effects 0.000 claims description 2
- 230000007613 environmental effect Effects 0.000 abstract description 3
- 239000002351 wastewater Substances 0.000 description 7
- 238000001914 filtration Methods 0.000 description 4
- 238000007599 discharging Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000003344 environmental pollutant Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 231100000719 pollutant Toxicity 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
Classifications
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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
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- Hydrology & Water Resources (AREA)
- Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Water Supply & Treatment (AREA)
- Chemical & Material Sciences (AREA)
- Organic Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Sewage (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Flow Control (AREA)
Abstract
The invention belongs to the technical field of environmental engineering, and particularly relates to a sewage abnormal discharge monitoring system and a monitoring method thereof. The invention comprises a water supply flowmeter for a water supply pipeline; a first filter, a rainwater monitoring assembly and a rainwater flowmeter are arranged on a rainwater pipeline between the rainwater collecting pipe and the rainwater discharge port; the sewage pipeline is provided with a water pressure meter, a second filter, a sewage water quality detector, a sewage flowmeter and an electric valve; the cloud platform is connected with the control device. According to the invention, the rainwater quantity, the electricity consumption, the water supply quantity and the sewage quantity are compared, so that whether the sewage quantity of an enterprise is normal or not is more accurately analyzed; the invention can also control the sewage discharge of enterprises by controlling the opening and closing degree of the electric valve of the sewage discharge pipeline.
Description
Technical Field
The invention belongs to the technical field of environmental engineering, and particularly relates to a sewage abnormal discharge monitoring system and a monitoring method thereof.
Background
With the development of economy and the improvement of living standard of people, people pay more and more attention to environmental protection. Therefore, in the production activities of enterprises, the sewage discharge of the enterprises needs to be monitored in real time, the sewage discharge and water consumption conditions of the enterprises are comprehensively mastered, and the total sewage discharge amount of the enterprises is controlled.
In the prior art, monitoring the sewage of an enterprise only compares the water consumption and the sewage discharge of the enterprise, and does not compare whether the water consumption change trend and the sewage discharge change trend of the enterprise are consistent or not; meanwhile, the influence of weather factors on sewage discharge is not considered in the prior art; in the prior art, enterprise electricity consumption references are not compared, so that monitoring is inaccurate.
Disclosure of Invention
In view of the above-mentioned shortcomings, the present invention aims to provide a sewage abnormal discharge monitoring system and a monitoring method thereof.
The invention provides the following technical scheme:
the sewage abnormal discharge monitoring system comprises a water supply valve, wherein the water supply valve is connected with a factory through a water supply pipeline, and a water supply flowmeter is arranged on the water supply pipeline between the water supply valve and the factory; the factory is connected with a rainwater collecting pipe through a rainwater pipeline, the rainwater collecting pipe is connected with a first filter through the rainwater pipeline, the first filter is connected with a rainwater monitoring assembly through the rainwater pipeline, the rainwater monitoring assembly is connected with a rainwater flowmeter through the rainwater pipeline, and the rainwater flowmeter is connected with a rainwater discharge port through the rainwater pipeline;
the factory is also connected with a water pressure gauge through a sewage pipeline, the water pressure gauge is connected with a second filter through the sewage pipeline, the second filter is connected with a sewage quality detector through the sewage pipeline, the sewage quality detector is connected with a sewage flowmeter through the sewage pipeline, the sewage flowmeter is connected with an electric valve through the sewage pipeline, and the electric valve is connected with a sewage discharge port through the sewage pipeline;
the system also comprises a control device, wherein the control device comprises a controller, a network transmission device and a network protection device; the water supply flowmeter, the rainwater monitoring assembly, the rainwater flowmeter, the water pressure meter, the sewage water quality detector, the sewage flowmeter and the electric valve are all connected with the controller;
the control device is also connected with a cloud platform.
The cloud platform comprises a database, a model analysis module and an instruction module.
The sewage quality information measured by the sewage quality detector is transmitted to a cloud platform through a control device and is received by the database; the method comprises the steps that a database of a cloud platform receives weather information and electricity consumption information; the water supply amount information measured by the water supply flow meter is transmitted to a cloud platform through a control device and received by the database; the sewage quantity information measured by the sewage flow meter is transmitted to a cloud platform through a control device and is received by the database; the rainwater quantity information measured by the rainwater flowmeter is transmitted to a cloud platform through a control device and received by the database; the rainwater quality information measured by the rainwater monitoring component is transmitted to the cloud platform through the control device and received by the database.
The instruction module comprises a short message module and a valve control module.
The valve control module is connected with the controller.
The rainwater monitoring component comprises a total phosphorus tester, an ammonia nitrogen tester and a COD analyzer.
The first filter and the second filter are stainless steel filter core filters.
The electric valve is an electric regulating valve.
A monitoring method of a sewage abnormal discharge monitoring system comprises the following steps:
step one): the water supply flow meter measures water supply information in a water supply pipeline, then the water supply information is transmitted to a controller of the control device, the control device transmits the water supply information to a database of the cloud platform through the network transmission device, and the database transmits the received water supply information to the model analysis module to generate a water supply curve;
step two): the sewage enters a sewage pipeline and is filtered by a second filter, the sewage flow meter measures the sewage amount information in the sewage pipeline, then the sewage amount information is transmitted to a controller of the control device, the control device transmits the sewage amount information to a database of the cloud platform through the network transmission device, and the database transmits the received sewage amount information to the model analysis module to generate a sewage amount curve;
step three): the sewage quality detector detects sewage quality information in the sewage pipeline, the sewage quality information is transmitted to a controller of the control device, and the control device transmits the sewage quality information to a database of the cloud platform through the network transmission device;
step four): the method comprises the steps that a database of a cloud platform receives weather information, wherein the weather information comprises unit rainfall and rainwater pollution information; the database transmits the received weather information to a model analysis module, and the model analysis module calculates the predicted rainwater displacement;
step five): rainwater is concentrated by a rainwater collecting pipe and then enters a rainwater pipeline, the rainwater enters the rainwater pipeline and is filtered by a first filter, the total phosphorus tester, the ammonia nitrogen tester and the COD analyzer measure the rainwater quality information in the rainwater pipeline, the rainwater quality information is transmitted to a controller of a control device, and the control device transmits the rainwater quality information to a database of a cloud platform through a network transmission device;
the rainwater flow meter measures the rainwater amount information in a rainwater pipeline, then the rainwater amount information is transmitted to a controller of the control device, the control device transmits the rainwater amount information to a database of the cloud platform through the network transmission device, and the database transmits the received rainwater amount information to the model analysis module;
step six): the model analysis module compares the received rainwater quantity information, namely the actual rainwater displacement with the predicted rainwater displacement; if the actual rainwater displacement is equal to the predicted rainwater displacement, the rainwater displacement is normal; if the actual rainwater displacement is not equal to the predicted rainwater displacement, the rainwater displacement is abnormal, and the model analysis module generates a rainwater quantity curve from the rainwater quantity information;
step seven): the method comprises the steps that a database of a cloud platform receives electricity consumption information, and the database transmits the received electricity consumption information to a model analysis module to generate an electricity consumption curve;
step eight): comparing the water supply curve, the sewage quantity curve, the electricity consumption curve and the rainwater quantity curve, and when the comparison curve finds abnormality, firstly sending a reminding short message to an abnormal factory through a short message module of the instruction module; when the comparison curve finds that the abnormality is not eliminated, a valve control module of the command module sends a valve closing signal to the controller, and the controller controls the electric valve to be closed;
step nine): the hydraulic pressure meter measures the pressure value in the sewage pipes, the pressure value is transmitted to the controller of the control device, the control device transmits the pressure value to the database of the cloud platform through the network transmission device, the database transmits the received pressure value to the model analysis module, when the pressure value is close to the pressure limit value of the sewage pipes, the valve control module of the command module sends a valve opening signal to the controller, and the controller controls the electric valve to adjust the valve opening and closing degree, so that the pressure in the sewage pipes is reduced.
The beneficial effects of the invention are as follows:
according to the invention, the rainwater monitoring assembly and the rainwater flowmeter are arranged on the rainwater pipeline, so that the rainwater components can be analyzed, only the rainwater quantity doped with sewage is compared, and the influence of rainwater on monitoring is avoided; the enterprise electricity consumption information is introduced, and the enterprise electricity consumption information can be compared with the enterprise water supply amount and the sewage amount, so that whether the enterprise sewage amount is normal or not can be more accurately analyzed; the invention can also control the sewage discharge of enterprises by controlling the opening and closing degree of the electric valve of the sewage discharge pipeline.
Drawings
FIG. 1 is a schematic view of a plant-side monitoring device installation of the present invention;
FIG. 2 is a schematic diagram of a controller and cloud platform architecture of the present invention;
FIG. 3 is a cloud platform workflow diagram of the present invention;
FIG. 4 is a flow chart of the stormwater analysis in accordance with the invention;
FIG. 5 is a normal graph of the pollution discharge of a sunny enterprise according to the invention;
FIG. 6 is a graph of an abnormal emission of an enterprise on a sunny day according to the present invention;
FIG. 7 is a graph of an abnormal emission of an enterprise on a sunny day according to the present invention;
FIG. 8 is a graph of the anomaly of the enterprise blowdown in rainy days of the present invention.
Marked in the figure as: the system comprises a water supply valve 101, a water supply flow meter 102, a factory 103, a rainwater collecting pipe 104, a first filter 105, a total phosphorus meter 106, an ammonia nitrogen meter 107, a COD analyzer 108, a rainwater flow meter 109, a rainwater discharge outlet 110, a water pressure meter 111, a second filter 112, a sewage quality detector 113, a sewage flow meter 114, an electric valve 115, a sewage discharge outlet 116, a control device 200, a controller 201, a network transmission device 202, a network protection device 203, a cloud platform 300, a database 301, a model analysis module 302, a command module 303, sewage quality information 304, weather information 305, electricity consumption information 306, water supply quantity information 307, sewage quantity information 308, rainwater quantity information 309, rainwater quality information 310, a short message module 311 and a valve control module 312.
Detailed Description
As shown, a sewage abnormal discharge monitoring system includes a water supply pipe connected to a water using apparatus in a plant 103, which is in turn connected to a sewage drain pipe. The plant 103 is connected to a water supply valve 101 of a municipal water pipe through a water supply pipe, a water supply flowmeter 102 is further installed on the water supply pipe between the plant 103 and the water supply valve 101, and the water supply flowmeter 102 is used for measuring water supply amount information 307 flowing into the plant in the water supply pipe. The rainwater pipeline is also installed in the factory 103, rainwater of each building of the factory 103 flows into the rainwater pipeline, the rainwater pipeline is connected with the rainwater collecting pipe 104, and rainwater of each building of the factory is gathered into the rainwater collecting pipe 104. The rainwater collecting pipe 104 is connected with the rainwater discharge port 110 through a rainwater pipeline, and rainwater collected by the rainwater collecting pipe 104 flows into the rainwater discharge port 110 through the rainwater pipeline. A first filter 105, a rainwater monitoring component and a rainwater flowmeter 109 are sequentially arranged on a rainwater pipeline between the rainwater collecting pipe 104 and the rainwater discharge port 110; the first filter 105 is a stainless steel filter element filter, and the stainless steel filter element filter has good filtering performance and can exert uniform surface filtering performance on the filtering granularity of 2-200 mu m; meanwhile, the stainless steel filter element has good corrosion resistance, heat resistance, pressure resistance and wear resistance; the stainless steel filter element is suitable for low-temperature and high-temperature environments; can be reused after cleaning, and is free from replacement. The first filter 105 can filter sundries such as leaves and branches in the rainwater pipeline, prevent the sundries from blocking the rainwater pipeline, and can avoid influence of the sundries on detection of the rainwater monitoring assembly and the rainwater flowmeter 109.
The rainwater detection component comprises a total phosphorus analyzer 106, an ammonia nitrogen analyzer 107 and a COD analyzer 108, and can detect rainwater quality information 310 in a rainwater pipeline, so that whether rainwater is doped with sewage discharged by enterprises is identified, and the factory 103 is prevented from discharging sewage through the rainwater pipeline. The rain flow meter 109 may detect rain amount information 309 in the rain water pipe. Generally, in a rainy day, the measured weather information 305 may calculate a predicted displacement value of rainwater in a factory area of the factory 103, and based on the measured weather information 305, it may also be known which pollutants are present in the rainwater.
A sewage pipe connected with water equipment of the factory 103 is sequentially provided with a water pressure meter 111, a second filter 112, a sewage quality detector 113, a sewage flowmeter 114 and an electric valve 115, and finally is connected with a sewage discharge port 116. The water pressure gauge 111 can measure the pressure value of the sewage in the sewage drain, and can monitor the pressure of the sewage in the sewage drain by the pressure value, thereby preventing danger. The second filter 112 is also a stainless steel filter element filter, and has good filtering performance. The wastewater quality detector 113 can measure wastewater quality information 304 in the wastewater lines to help monitoring personnel to know the quality of wastewater discharged from the plant 103. The sewage flow meter 114 may measure the sewage amount information 308 in the sewage pipes to help know the amount of sewage discharged from the plant 103, thereby monitoring the discharge amount of the plant. The electric valve 115 is an electric control valve, so that the electric valve 115 can be controlled to adjust the opening and closing degree of the electric valve 115, when the plant 103 continuously discharges excessively, the opening and closing degree of the electric valve 115 can be reduced, the discharge amount of the plant 103 can be reduced, or the electric valve 115 can be closed to forcibly prevent the plant 103 from excessively discharging.
The sewage abnormal discharge monitoring system further comprises a control device 200, wherein the control device 200 is installed in the factory 103, and the control device 200 comprises a controller 201, a network transmission device 202 and a network protection device 203. The water supply flow meter 102, the rainwater monitoring assembly, the rainwater flow meter 109, the water pressure meter 111, the sewage quality detector 113, the sewage flow meter 114 and the electric valve 115 are all connected with the controller 201, and the water supply amount information 307 measured by the water supply flow meter 102, the rainwater quality information 310 measured by the rainwater monitoring assembly, the rainwater amount information 309 measured by the rainwater flow meter 109, the pressure value measured by the water pressure meter 111, the sewage quality information 304 measured by the sewage quality detector 113 and the sewage amount information 308 measured by the sewage flow meter 114 can be transmitted to the controller 201. And then the network transmission device 202 transmits the information to the cloud platform 300 connected with the control device 200. The controller 201 may control the opening and closing degree of the electric valve 115.
The cloud platform 300 is installed at the office of a monitor person, and the cloud platform 300 comprises a database 301, a model analysis module 302 and an instruction module 303, wherein the instruction module 303 comprises a short message module 311 and a valve control module 312.
The database 301 is connected to the network transmission device 202, and the database 301 may receive the sewage quality information 304 measured by the sewage quality detector 113, the measured weather information 305, the acquired electricity consumption information 306, the water supply amount information 307 measured by the water supply flowmeter 102, the sewage amount information 308 measured by the sewage flowmeter 114, the rainwater amount information 309 measured by the rainwater flowmeter 109, and the rainwater quality information 310 measured by the rainwater monitoring component. Thereby, the monitoring personnel can call the rainwater quality information 310 to check the rainwater quality condition, and can call the sewage quality information 304 to check the sewage quality condition.
Database 301 may communicate the various information described above to model analysis module 302. The model analysis module 302 can calculate the predicted rainwater displacement in the factory 103 according to the weather information 305, and compare the rainwater quantity information 309, namely the actual rainwater displacement with the predicted rainwater displacement, and under normal conditions, the predicted rainwater displacement is approximately equal to the actual rainwater displacement, and when the predicted rainwater displacement is equal, the predicted rainwater displacement is proved to be normal; when the actual rainwater displacement is larger than the predicted rainwater displacement, the abnormal rainwater displacement of the factory 103 is proved, the factory 103 is likely to be stolen and discharged, particularly, the rainwater pipeline of the factory 103 is likely to be used for draining water when the rainwater pipeline is measured on a sunny day, at the moment, the rainwater is confirmed by checking the rainwater quality information 310, and if the information displayed in the rainwater quality information 310 is different from the rainwater pollutant in the weather information 305 provided by the weather bureau, the fact that the factory 103 uses the rainwater pipeline for stealing and discharging sewage can be determined. When the rain displacement is abnormal, the model analysis module 302 generates a rain amount curve from the rain amount information 309.
The model analysis module 302 may also generate a power usage curve based on the obtained power usage information 306 of the plant 103. The model analysis module 302 may generate a water supply curve and a wastewater volume curve based on the water supply information 307 measured by the water supply flow meter 102 and the wastewater volume information 308 measured by the wastewater flow meter 114, respectively. The rainwater volume curve, the sewage volume curve, the water supply volume curve and the electricity consumption curve are put in a graph, and monitoring staff analyze whether the discharge volume of the factory 103 is normal or not by observing the graph.
Embodiment one:
on sunny days in fig. 5, the electricity consumption curve of the plant 103 should be consistent with the fluctuation trend of the water supply curve and the sewage level curve, the sewage level curve is almost consistent with the fluctuation trend of the water supply curve, and the sewage level should be smaller than the water supply. At this time, the power consumption curve, the water supply curve and the sewage amount curve of the enterprise have the same fluctuation trend, and the sewage amount should be smaller than the water supply, so that the analysis can obtain that the factory 103 is normally discharged at this time.
Embodiment two:
on sunny days in fig. 6 and 7, the fluctuation trend of the water supply amount curve and the sewage amount curve is not consistent, and the sewage amount is larger than the water supply amount in a period of time, so analysis can find that the factory 103 is abnormally discharged.
Embodiment III:
in fig. 8, when the actual rainwater displacement is not equal to the predicted rainwater displacement, a rainy day enterprise pollution discharge abnormal graph is generated according to the rainwater quantity information 309. Through analysis, the power consumption curve, the water supply curve and the sewage amount curve of the enterprise have the same fluctuation trend, and the sewage amount is smaller than the water supply, but the rainwater amount is abnormal, so that the enterprise can steal and drain the sewage through the rainwater pipeline, and the monitoring personnel are required to call the rainwater information 310 of the factory 103 for further confirmation.
Embodiment four:
when the factory 103 is found to be indeed discharged abnormally, a reminding short message can be sent to the enterprise through the short message module 311 to remind the enterprise to carry out rectification. If the enterprise continues to discharge abnormally, the opening and closing degree of the electric valve 115 is remotely controlled through the valve control module 312 connected to the controller 201, thereby forcibly adjusting the sewage discharge amount of the plant 103. The monitoring personnel can reasonably control the opening and closing degree of the electric valve 115 according to the sewage pipeline pressure value measured by the water pressure meter 111, so as to avoid the danger caused by overlarge sewage pipeline pressure due to overlarge opening and closing degree.
A monitoring method of a sewage abnormal discharge monitoring system comprises the following steps:
step one): the water supply flow meter 102 measures water supply amount information 307 in the water supply pipeline, then the water supply amount information 307 is transmitted to the controller 201 of the control device 200, the control device 200 transmits the water supply amount information 307 to the database 301 of the cloud platform 300 through the network transmission device 202, and the database 301 transmits the received water supply amount information 307 to the model analysis module 302 to generate a water supply amount curve;
step two): the sewage enters the sewage drain pipe and is filtered by the second filter 112, the sewage flow meter 114 measures the sewage amount information 308 in the sewage drain pipe, then the sewage amount information 308 is transmitted to the controller 201 of the control device 200, the control device 200 transmits the sewage amount information 308 to the database 301 of the cloud platform 300 through the network transmission device 202, and the database 301 transmits the received sewage amount information 308 to the model analysis module 302 to generate a sewage amount curve;
step three): the sewage quality detector 113 measures sewage quality information 304 in the sewage pipeline, the sewage quality information 304 is transmitted to the controller 201 of the control device 200, and the control device 200 transmits the sewage quality information 304 to the database 301 of the cloud platform 300 through the network transmission device 202;
step four): the database 301 of the cloud platform 300 receives measured weather information 305, and the weather information 305 comprises unit rainfall and rainwater pollution information; the database 301 transmits the received weather information 305 to the model analysis module 302, and the model analysis module 302 calculates a predicted rainwater displacement;
step five): rainwater is concentrated by the rainwater collecting pipe 104 and then enters a rainwater pipeline, the rainwater enters the rainwater pipeline and is filtered by the first filter 105, the total phosphorus determinator 106, the ammonia nitrogen determinator 107 and the COD analyzer 108 measure rainwater quality information 310 in the rainwater pipeline, the rainwater quality information 310 is transmitted to the controller 301 of the control device 200, and the control device 200 transmits the rainwater quality information 310 to the database 301 of the cloud platform 300 through the network transmission device 202;
the rainwater flow meter 109 measures the rainwater amount information 309 in the rainwater pipeline, then the rainwater amount information 309 is transmitted to the controller 201 of the control device 200, the control device 200 transmits the rainwater amount information 309 to the database 301 of the cloud platform 300 through the network transmission device 202, and the database 301 transmits the received rainwater amount information 309 to the model analysis module 302;
step six): the model analysis module 302 compares the received rainwater quantity information 309, i.e., the actual rainwater displacement, with the predicted rainwater displacement; if the actual rainwater displacement is equal to the predicted rainwater displacement, the rainwater displacement is normal; if the actual rainwater displacement is not equal to the predicted rainwater displacement, the rainwater displacement is abnormal, and the model analysis module 302 generates a rainwater quantity curve from the rainwater quantity information 309;
step seven): the database 301 of the cloud platform 300 receives the electricity consumption information 306, and the database 301 transmits the received electricity consumption information 306 to the model analysis module 302 to generate an electricity consumption curve;
step eight): comparing the water supply quantity curve, the sewage quantity curve, the electricity consumption curve and the rainwater quantity curve, and when the comparison curve finds abnormality, firstly sending a reminding short message to an abnormal factory through a short message module 311 of the instruction module 303; when the comparison curve finds that the abnormality is not eliminated, the valve control module 312 of the instruction module 303 sends a valve closing signal to the controller 201, and the controller 201 controls the electric valve 115 to be closed;
step nine): the pressure value in the sewage pipes is measured by the water pressure gauge 111, the pressure value is transmitted to the controller 201 of the control device 200, the control device 200 transmits the pressure value to the database 301 of the cloud platform 300 through the network transmission device 202, the database 301 transmits the received pressure value to the model analysis module 302, when the pressure value is close to the pressure limit value of the sewage pipes, a valve control module 312 of the command module 303 sends a valve opening signal to the controller 201, and the controller 201 controls the electric valve 115 to adjust the valve opening and closing degree, so that the pressure in the sewage pipes is reduced.
The foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (2)
1. A sewage abnormal discharge monitored control system, its characterized in that: the device comprises a water supply valve (101), wherein the water supply valve (101) is connected with a factory (103) through a water supply pipeline, and a water supply flowmeter (102) is arranged on the water supply pipeline between the water supply valve (101) and the factory (103); the factory (103) is connected with a rainwater collecting pipe (104) through a rainwater pipeline, the rainwater collecting pipe (104) is connected with a first filter (105) through the rainwater pipeline, the first filter (105) is connected with a rainwater monitoring component through the rainwater pipeline, the rainwater monitoring component is connected with a rainwater flowmeter (109) through the rainwater pipeline, and the rainwater flowmeter (109) is connected with a rainwater discharge port (110) through the rainwater pipeline;
the factory (103) is also connected with a water pressure meter (111) through a sewage pipeline, the water pressure meter (111) is connected with a second filter (112) through the sewage pipeline, the second filter (112) is connected with a sewage quality detector (113) through the sewage pipeline, the sewage quality detector (113) is connected with a sewage flowmeter (114) through the sewage pipeline, the sewage flowmeter (114) is connected with an electric valve (115) through the sewage pipeline, and the electric valve (115) is connected with a sewage discharge port (116) through the sewage pipeline;
the system also comprises a control device (200), wherein the control device (200) comprises a controller (201), a network transmission device (202) and a network protection device (203); the water supply flowmeter (102), the rainwater monitoring assembly, the rainwater flowmeter (109), the water pressure meter (111), the sewage quality detector (113), the sewage flowmeter (114) and the electric valve (115) are all connected with the controller (201);
the control device (200) is also connected with a cloud platform (300);
the cloud platform (300) comprises a database (301), a model analysis module (302) and an instruction module (303);
the sewage quality information (304) measured by the sewage quality detector (113) is transmitted to the cloud platform (300) through the control device (200) and is received by the database (301); a database (301) of the cloud platform (300) receives weather information (305) and electricity consumption information (306); the water supply amount information (307) measured by the water supply flowmeter (102) is transmitted to a cloud platform (300) through a control device (200) and received by the database (301); the sewage quantity information (308) measured by the sewage flowmeter (114) is transmitted to the cloud platform (300) through the control device (200) and is received by the database (301); the rainwater amount information (309) measured by the rainwater flowmeter (109) is transmitted to a cloud platform (300) through a control device (200), and is received by the database (301); the rainwater quality information (310) measured by the rainwater monitoring component is transmitted to the cloud platform (300) through the control device (200) and is received by the database (301);
the instruction module (303) comprises a short message module (311) and a valve control module (312);
the valve control module (312) is connected with the controller (201);
the rainwater monitoring assembly comprises a total phosphorus tester (106), an ammonia nitrogen tester (107) and a COD analyzer (108);
the electric valve (115) is an electric regulating valve;
the monitoring method of the sewage abnormal emission monitoring system comprises the following steps:
step one): the water supply flow meter (102) measures water supply amount information (307) in a water supply pipeline, then the water supply amount information (307) is transmitted to a controller (201) of the control device (200), the control device (200) transmits the water supply amount information (307) to a database (301) of the cloud platform (300) through the network transmission device (202), and the database (301) transmits the received water supply amount information (307) to the model analysis module (302) to generate a water supply amount curve;
step two): the sewage enters a sewage pipeline and is filtered by a second filter (112), the sewage flow meter (114) measures sewage amount information (308) in the sewage pipeline, then the sewage amount information (308) is transmitted to a controller (201) of a control device (200), the control device (200) transmits the sewage amount information (308) to a database (301) of a cloud platform (300) through a network transmission device (202), and the database (301) transmits the received sewage amount information (308) to a model analysis module (302) to generate a sewage amount curve;
step three): the sewage quality detector (113) detects sewage quality information (304) in the sewage pipeline, the sewage quality information (304) is transmitted to a controller (201) of the control device (200), and the control device (200) transmits the sewage quality information (304) to a database (301) of the cloud platform (300) through the network transmission device (202);
step four): the method comprises the steps that a database (301) of a cloud platform (300) receives weather information (305), and the weather information (305) comprises unit rainfall and rainwater pollution information; the database (301) transmits the received weather information (305) to the model analysis module (302), and the model analysis module (302) calculates the predicted rainwater displacement;
step five): rainwater is concentrated by a rainwater collecting pipe (104) and then enters a rainwater pipeline, the rainwater enters the rainwater pipeline and is filtered by a first filter (105), a total phosphorus tester (106), an ammonia nitrogen tester (107) and a COD analyzer (108) measure rainwater quality information (310) in the rainwater pipeline, the rainwater quality information (310) is transmitted to a controller (301) of a control device (200), and the control device (200) transmits the rainwater quality information (310) to a database (301) of a cloud platform (300) through a network transmission device (202);
the rainwater flow meter (109) measures rainwater amount information (309) in a rainwater pipeline, then the rainwater amount information (309) is transmitted to a controller (201) of the control device (200), the control device (200) transmits the rainwater amount information (309) to a database (301) of the cloud platform (300) through the network transmission device (202), and the database (301) transmits the received rainwater amount information (309) to the model analysis module (302);
step six): the model analysis module (302) compares the received rainwater quantity information (309), namely the actual rainwater displacement with the predicted rainwater displacement; if the actual rainwater displacement is equal to the predicted rainwater displacement, the rainwater displacement is normal; if the actual rainwater displacement is not equal to the predicted rainwater displacement, the rainwater displacement is abnormal, and the model analysis module (302) generates a rainwater quantity curve from the rainwater quantity information (309);
step seven): the method comprises the steps that a database (301) of a cloud platform (300) receives power consumption information (306), and the database (301) transmits the received power consumption information (306) to a model analysis module (302) to generate a power consumption curve;
step eight): comparing the water supply quantity curve, the sewage quantity curve, the electricity consumption curve and the rainwater quantity curve, and when the comparison curve finds abnormality, firstly sending a reminding short message to an abnormal factory through a short message module (311) of the instruction module (303); when the comparison curve finds that the abnormality is not eliminated, a valve control module (312) of the command module (303) sends a valve closing signal to the controller (201), and the controller (201) controls the electric valve (115) to be closed;
step nine): the pressure value in the sewage pipeline is measured by the water pressure gauge (111), the pressure value is transmitted to the controller (201) of the control device (200), the control device (200) transmits the pressure value to the database (301) of the cloud platform (300) through the network transmission device (202), the database (301) transmits the received pressure value to the model analysis module (302), when the pressure value is close to the pressure limit value of the sewage pipeline, a valve control module (312) of the instruction module (303) sends a valve opening signal to the controller (201), and the controller (201) controls the electric valve (115) to adjust the valve opening and closing degree, so that the pressure in the sewage pipeline is reduced.
2. The abnormal sewage discharge monitoring system according to claim 1, wherein: the first filter (105) and the second filter (112) are stainless steel filter core filters.
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| CN113256037B (en) * | 2021-07-14 | 2021-09-28 | 深圳市格云宏邦环保科技有限公司 | Unsteady state wastewater discharge prediction method, unsteady state wastewater discharge prediction device, computer equipment and storage medium |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006187682A (en) * | 2004-12-28 | 2006-07-20 | Toshiba Corp | Method for estimating quality of inflow sewage water and support system for discharging rain water |
| CN206618444U (en) * | 2017-04-14 | 2017-11-07 | 湖南北控威保特环境科技股份有限公司 | A kind of industrial park waste water processing metering and water quality monitoring system |
| CN107558567A (en) * | 2017-09-30 | 2018-01-09 | 武汉圣禹排水***有限公司 | A kind of separate sewage system and control method of sewage and rainwater |
| CN111652450A (en) * | 2020-08-05 | 2020-09-11 | 浙江力嘉电子科技有限公司 | Abnormal detection system and method for pollution discharge behavior, electronic device and storage medium |
| CN213679900U (en) * | 2020-11-12 | 2021-07-13 | 联智同达(苏州)环境科技有限公司 | Abnormal sewage discharge monitoring system |
-
2020
- 2020-11-12 CN CN202011260909.2A patent/CN112374556B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006187682A (en) * | 2004-12-28 | 2006-07-20 | Toshiba Corp | Method for estimating quality of inflow sewage water and support system for discharging rain water |
| CN206618444U (en) * | 2017-04-14 | 2017-11-07 | 湖南北控威保特环境科技股份有限公司 | A kind of industrial park waste water processing metering and water quality monitoring system |
| CN107558567A (en) * | 2017-09-30 | 2018-01-09 | 武汉圣禹排水***有限公司 | A kind of separate sewage system and control method of sewage and rainwater |
| CN111652450A (en) * | 2020-08-05 | 2020-09-11 | 浙江力嘉电子科技有限公司 | Abnormal detection system and method for pollution discharge behavior, electronic device and storage medium |
| CN213679900U (en) * | 2020-11-12 | 2021-07-13 | 联智同达(苏州)环境科技有限公司 | Abnormal sewage discharge monitoring system |
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