Industrial sewage plant pollutant tracing method and system

Abstract

The invention discloses an industrial sewage plant pollutant traceability method and system, and relates to the field of industrial sewage plant pollutant traceability. According to the industrial sewage plant pollutant tracing method, a sewage adjusting tank in an industrial sewage plant is deeply divided, a plurality of monitoring layers of the sewage adjusting tank are obtained, sewage data of a plurality of monitoring time points are continuously obtained for each monitoring layer of the sewage adjusting tank, identification analysis is carried out, and pollutants to be traced are obtained. And synchronously acquiring monitoring data of a plurality of sewage discharge pipelines connected with the sewage adjusting tank and carrying out comprehensive analysis to obtain a plurality of predicted sewage discharge pipelines connected with the sewage adjusting tank in the industrial sewage plant. And a plurality of pollution source sewage discharge pipelines connected with the sewage adjusting tank in the industrial sewage plant are obtained, so that accurate tracing of sewage pollutants is realized, and errors in the tracing process are avoided.

Description

Technical Field

[0001] The present invention relates to the field of pollutant source tracing for industrial sewage plants, and in particular to a pollutant source tracing method and system for industrial sewage plants. Background Art

[0002] As an important link in the treatment of pollutants in the industrial production process, the main task of industrial wastewater treatment plants is to remove harmful substances in wastewater and reduce pollution to water bodies and the environment. However, with the acceleration of industrialization, industrial wastewater is of various types and complex in composition. Different types of industrial wastewater contain a variety of pollutants, such as organic matter, inorganic matter, heavy metals, grease, etc. These pollutants exist in different forms in wastewater and are difficult to completely remove. Pollutant tracing refers to tracing the source and composition of the pollution source through the analysis of pollutants in wastewater, so as to achieve effective monitoring and management of pollution.

[0003] Prior art, such as a method, device, storage medium and computer equipment for tracing pollutants from industrial sewage plants disclosed in a patent application with announcement number: CN116298159B, wherein the tracing method includes: dividing the pollution-producing areas according to the types of pollutants; and conducting water quality tests on the sewage in the sewage confluence pipes of different pollution-producing areas before they merge into the main pipeline of the sewage plant's inlet network; uploading the detected water quality data online in real time; if an abnormal alarm is issued by the test result, it means that the pollution-producing area has excessive sewage discharge. Since similar enterprises are generally concentrated, each area has the same main pollutants, so the pollution-producing areas can be divided according to the main types of pollutants. By conducting online water quality tests on the sewage that converges into the main pipeline of the sewage plant's inlet network, the sewage discharge situation in each area can be understood in real time, which is convenient for tracing the pollution-producing areas.

[0004] Based on the above scheme, it is found that the limitations of the existing technology include at least the following problems. First, the existing technology lacks comprehensive analysis of multiple monitoring layers and multiple discharge pipes, which makes it difficult to effectively identify complex pollution sources. In the case of complex sewage regulating tanks and pipeline systems, it is easy to cause inaccurate tracing results. Secondly, the existing technology fails to fully utilize the multi-level and multi-time point data of the sewage regulating tank, thereby missing the change information of sewage at different levels and different time periods inside the regulating tank, thereby limiting the precise positioning of the source of pollutants and timely warning. In addition, the existing technology fails to fully consider the mutual influence between different pipelines and sewage regulating tanks and the cross-regional diffusion effect of pollutants, which easily leads to tracing errors in the tracing process. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method and system for tracing pollutants from an industrial sewage plant, which solves the problem that the prior art lacks comprehensive analysis of multiple monitoring layers and multiple discharge pipes, making it difficult to effectively identify complex pollution sources. In the case of complex sewage regulating tanks and pipeline systems, the tracing results may be inaccurate. Secondly, the prior art fails to fully utilize the multi-level and multi-time point data of the sewage regulating tank, thereby missing out on information on changes in sewage at different levels and during different periods of time within the regulating tank, thereby limiting the precise positioning of pollutant sources and timely early warning. Furthermore, the prior art fails to fully consider the mutual influence between different pipelines and sewage regulating tanks and the cross-regional diffusion effect of pollutants, thereby easily leading to the problem of tracing errors in the tracing process.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for tracing pollutants in industrial sewage treatment plants, comprising the following steps: deeply dividing the sewage regulating tank in the industrial sewage treatment plant to obtain several monitoring layers of the sewage regulating tank in the industrial sewage treatment plant, and continuously acquiring sewage data at several monitoring time points for each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant; comprehensively analyzing the sewage data at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant, and identifying the pollutants to be traced in the sewage regulating tank in the industrial sewage treatment plant based on the analysis results; at the abnormal monitoring time point of the sewage regulating tank in the industrial sewage treatment plant, synchronously acquiring the monitoring data of several sewage discharge pipes connected to the sewage regulating tank and performing a comprehensive analysis to obtain several types of pollutants at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant, and performing Identify and analyze to obtain several predicted sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant; and simultaneously obtain the sewage discharge data at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, and conduct a comprehensive analysis to obtain the comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; conduct a comprehensive analysis of the comprehensive pollution concentration values ​​of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, and obtain several pollution source sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant, and obtain the emission source location information of each pollution source sewage discharge pipe, and mark them as the pollution sources of the pollutants to be traced at the abnormal monitoring time point of the sewage regulating tank in the industrial sewage plant, and take corresponding control measures at the same time.

[0007] A pollutant source tracing system for an industrial sewage treatment plant comprises: a data division module, an identification and analysis module, a prediction and analysis module, a comprehensive analysis module and a source tracing analysis module; the data division module is used to perform in-depth division of a sewage regulating tank in an industrial sewage treatment plant to obtain a plurality of monitoring layers of the sewage regulating tank in the industrial sewage treatment plant, and continuously obtain sewage data at a plurality of monitoring time points for each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant; the identification and analysis module is used to perform a comprehensive analysis on the sewage data at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant, and identify abnormal pollutants at abnormal monitoring time points of the sewage regulating tank in the industrial sewage treatment plant based on the analysis results, and mark them as pollutants to be traced for the sewage regulating tank in the industrial sewage treatment plant; the prediction and analysis module is used to synchronously obtain the monitoring data of a plurality of sewage discharge pipes connected to the sewage regulating tank at the abnormal monitoring time point of the sewage regulating tank in the industrial sewage treatment plant and perform a comprehensive analysis to obtain the monitoring data of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant. The comprehensive analysis module is used to identify and analyze several pollutants at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, and obtain several predicted sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant; the comprehensive analysis module is used to synchronously obtain the sewage discharge data at the abnormal monitoring time points of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, and conduct a comprehensive analysis to obtain the comprehensive pollution concentration values ​​of the pollutants to be traced at the abnormal monitoring time points of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; the tracing analysis module is used to conduct a comprehensive analysis of the comprehensive pollution concentration values ​​of the pollutants to be traced at the abnormal monitoring time points of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, obtain several pollution source sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant, and obtain the location data of the factories connected to the several pollution source sewage discharge pipes, that is, the pollution sources of the pollutants to be traced at the abnormal monitoring time points of the sewage regulating tank in the industrial sewage plant, and take corresponding control measures.

[0008] The present invention has the following beneficial effects: (1) The industrial wastewater treatment plant pollutant source tracing method can accurately trace the wastewater pollutants by analyzing the depth of the wastewater regulating tank in the industrial wastewater treatment plant and the real-time monitoring data. The real-time identification of abnormal pollutants helps to quickly locate the pollution source, thereby avoiding misjudgment or delay, and then ensuring a faster and more effective response to wastewater pollution and reducing environmental risks.

[0009] (2) The pollutant source tracing method of the industrial wastewater treatment plant synchronously obtains the sewage discharge pipe data connected to the sewage regulating tank and conducts a comprehensive analysis to identify the predicted pollution discharge pipes. It can detect abnormal situations in time and take preventive measures, thereby effectively avoiding the spread of pollutants, thereby reducing the time cost and economic losses of environmental governance, and then improving the overall management efficiency of the sewage treatment plant.

[0010] (3) The pollutant source tracing method of the industrial wastewater treatment plant can provide a scientific basis for the control measures of the wastewater treatment plant through accurate pollution source positioning and pollutant concentration analysis, thereby ensuring that the measures taken are practical and effective, thereby improving the effect of pollution control and optimizing resource allocation. It can also reduce pollution emissions while reducing treatment costs, thereby achieving a win-win situation in economic and environmental benefits.

[0011] (4) The pollutant source tracing system of the industrial wastewater treatment plant monitors and analyzes pollutant data of the sewage regulating tank and related discharge pipes in real time to accurately identify the pollutants to be traced, so that the sewage treatment plant can quickly respond to potential pollution problems and take necessary emergency measures before the pollution spreads. It can then arrange resources and dispatch treatment equipment to reduce the harm of pollutants to the environment, while reducing the economic losses and environmental restoration costs caused by pollution incidents.

[0012] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 The present invention is a flow chart of a method for tracing the source of pollutants in an industrial sewage plant.

[0014] Figure 2 The present invention is a flowchart of the steps of obtaining a plurality of predicted sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant in a method for tracing the source of pollutants in the industrial sewage plant.

[0015] Figure 3 This is a block diagram of a pollutant tracing system for an industrial sewage plant according to the present invention. DETAILED DESCRIPTION

[0016] The embodiment of the present application solves the problem that the prior art lacks comprehensive analysis of multiple monitoring layers and multiple discharge pipes, which makes it difficult to effectively identify complex pollution sources, and easily leads to inaccurate tracing results when the sewage regulating tank and pipeline system are complex. Secondly, the prior art fails to fully utilize the multi-level and multi-time point data of the sewage regulating tank, thereby missing the change information of the sewage at different levels and different time periods inside the regulating tank, thereby limiting the accurate positioning of the source of pollutants and timely warning. In addition, the prior art fails to fully consider the mutual influence between different pipelines and sewage regulating tanks and the cross-regional diffusion effect of pollutants, which easily leads to the problem of tracing errors in the tracing process.

[0017] The overall idea of ​​the problem in the embodiment of this application is as follows: First, the sewage equalization tank in the industrial sewage treatment plant is deeply divided into several monitoring layers, and the sewage data of multiple monitoring time points are continuously obtained on each monitoring layer. Next, the sewage data of each monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at different time points are comprehensively analyzed to identify the sewage data at abnormal monitoring time points. Based on the analysis results, the pollutants to be traced are marked. When the abnormal monitoring time point is detected, the monitoring data of multiple sewage discharge pipes connected to the sewage equalization tank in the industrial sewage treatment plant are obtained, and classified analysis is performed to obtain the predicted pollutants to be traced in the sewage discharge pipes connected to the sewage equalization tank in the industrial sewage treatment plant, and a proportion analysis is performed with the comprehensive concentration value of the pollutants to be traced in the sewage equalization tank in the industrial sewage treatment plant to further confirm the pollution source and effectively take control measures.

[0018] See also Figure 1The embodiment of the present invention provides a technical solution: a method for tracing the source of pollutants in an industrial sewage plant, comprising the following steps: deeply dividing the sewage regulating tank in the industrial sewage plant to obtain several monitoring layers of the sewage regulating tank in the industrial sewage plant, and continuously obtaining sewage data at several monitoring time points for each monitoring layer of the sewage regulating tank in the industrial sewage plant; comprehensively analyzing the sewage data at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage plant, and identifying the pollutants to be traced in the sewage regulating tank in the industrial sewage plant based on the analysis results; at the abnormal monitoring time point of the sewage regulating tank in the industrial sewage plant, synchronously obtaining the monitoring data of several sewage discharge pipes connected to the sewage regulating tank and performing comprehensive analysis to obtain several pollutants at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, and performing identification analysis to obtain several pollutants connected to the sewage regulating tank in the industrial sewage plant. 10,000 predicted sewage discharge pipelines; and simultaneously obtain the sewage discharge data at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant, and conduct a comprehensive analysis to obtain the comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant; conduct a comprehensive analysis of the comprehensive pollution concentration values ​​of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant, and obtain several pollution source sewage discharge pipelines connected to the sewage regulating tank in the industrial sewage plant, and obtain the emission source location information of each pollution source sewage discharge pipeline (for example, if the emission source connected to the pollution source sewage discharge pipeline is a factory, the corresponding factory will be marked as the emission source), and they are marked as the pollution sources of the pollutants to be traced at the abnormal monitoring time point of the sewage regulating tank in the industrial sewage plant, and corresponding control measures are taken at the same time.

[0019] The control measures are as follows: flow control in factories, that is, controlling the flow in sewage discharge pipes and adjusting the working status of flow valves or pumps to reduce or prevent excessive discharge of pollutants; and diversion control in factories, diverting heavily polluted sewage from the main discharge pipes to special treatment facilities to ensure that the pollution source does not affect the water quality of the overall sewage treatment plant. For example, a diversion pipe can be set up to guide sewage that exceeds the standard to a special pretreatment area of ​​the sewage treatment plant; at the same time, pretreatment control is carried out on the factory, that is, pretreatment facilities are set up to first treat harmful components in sewage and reduce the pollution load entering the sewage equalization tank.

[0020] The sewage data specifically include the sewage redox potential value, sewage dissolved oxygen content value, sewage conductivity value, sewage temperature value, sewage pH value, sewage pressure value, and the concentration value of each pollutant (in sewage); the monitoring data specifically include the chemical oxygen demand concentration value of piped sewage, the biochemical oxygen demand concentration value of piped sewage, the total nitrogen concentration value of piped sewage, the ammonia nitrogen concentration value of piped sewage, and the total phosphorus concentration value of piped sewage; the sewage discharge data specifically include the piped sewage flow rate value, piped sewage flow rate value, pipe length value, piped sewage viscosity value, piped sewage temperature value, water flow section diameter value, and pollution concentration value of pollutants to be traced; the emission source location information specifically includes the longitude and latitude values ​​of the emission source.

[0021] Among them, the sewage redox potential value is a physical and chemical parameter that measures the redox reaction capacity in the solution and is obtained through an ORP sensor.

[0022] The sewage conductivity value is the conductivity of the solution in the sewage regulating tank, which is obtained by a conductivity meter.

[0023] The COD concentration value of piped sewage is the total amount of organic matter in the sewage. It is obtained by sampling the sewage, sampling the sewage, and measuring the sampled sewage using a COD online analyzer, and the results are saved in the pollution database.

[0024] The biochemical oxygen demand concentration value of piped sewage is the amount of oxygen consumed by microorganisms when decomposing degradable organic matter in water. It is obtained through the sampling method. The sewage is sampled and the biosensor technology is used to simulate the decomposition process of microorganisms for rapid measurement. The results are then saved in the pollution database.

[0025] The total nitrogen concentration value of piped sewage is the sum of various forms of nitrogen in the water body (such as ammonia nitrogen, nitrate nitrogen, nitrite nitrogen, and organic nitrogen). It is obtained through the sampling method, that is, sampling the sewage, and then using a total nitrogen online analyzer to measure the sampled sewage, and the results are saved in the pollution database.

[0026] The ammonia nitrogen concentration value of piped sewage is the nitrogen in the form of ammonia ions or ammonia gas in sewage. It is obtained by sampling the sewage and measuring the sampled sewage with an ammonia nitrogen online analyzer. The results are saved in the pollution database.

[0027] The total phosphorus concentration value of piped sewage is the sum of all forms of phosphorus in the sewage (such as orthophosphate and organic phosphorus compounds). It is obtained by sampling the sewage and measuring the sampled sewage using a total phosphorus online analyzer. The results are then saved in the pollution database.

[0028] The flow rate of sewage in the pipeline is the volume of water flowing through the sewage pipeline per unit time. The flow rate of sewage in the pipeline = water level height 3 / 2, and the water level height is obtained by an ultrasonic water level sensor.

[0029] The viscosity value of pipeline sewage is the internal friction of the solution in the sewage discharge pipeline, that is, the interaction force, which is obtained by sampling method, that is, using a rotational viscometer for measurement, and the measurement results output by the rotational viscometer are saved in the database.

[0030] Specifically, the specific steps for identifying the traceable pollutants in the sewage regulating tank in the industrial sewage treatment plant based on the analysis results are as follows: standardize the sewage oxidation-reduction potential value, sewage dissolved oxygen content value, and sewage conductivity value at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant (i.e., remove the unit); and comprehensively analyze the sewage oxidation-reduction potential value, sewage dissolved oxygen content value, and sewage conductivity value of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant after the standardized treatment to obtain the sewage quality index of each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant; perform mean analysis on the sewage temperature value, sewage pH value, and sewage pressure value of each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant to obtain the mean sewage temperature, sewage pH value, and sewage pressure value of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant; and perform mean sewage temperature, sewage pH value, sewage pressure value, and sewage temperature at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant. A comprehensive analysis is performed on the sewage quality index, sewage pH value, and sewage pressure value to obtain the sewage stability index at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage plant; and a comprehensive analysis is performed on the sewage quality index, sewage stability index, and concentration value of each pollutant at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage plant to obtain the comprehensive concentration value of each pollutant at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage plant; and the comprehensive concentration value of each pollutant at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage plant is analyzed to obtain several groups of comprehensive concentration change indexes for each pollutant in the sewage regulating tank in the industrial sewage plant; each group of comprehensive concentration change indexes of each pollutant in the sewage regulating tank in the industrial sewage plant is judged and analyzed with the preset concentration change threshold of the corresponding pollutant; if there is a pollutant in the sewage regulating tank of the industrial sewage plant whose comprehensive concentration change index is higher than the preset concentration change threshold, it is marked as a pollutant to be traced, and the abnormal monitoring time point in the corresponding group of comprehensive concentration change indexes is identified.

[0031] The formula for calculating the sewage quality index and sewage stability index at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage plant is as follows: ;in, The first sewage regulating tank in the industrial sewage plant The monitoring layer The sewage quality index at each monitoring time point is The first sewage regulating tank in the industrial sewage plant after standardized treatment The monitoring layer The wastewater oxidation-reduction potential value at each monitoring time point, is the redox coefficient stored in the database, The first sewage regulating tank in the industrial sewage plant after standardized treatment The monitoring layer The dissolved oxygen content of sewage at each monitoring time point is is the dissolved oxygen coefficient stored in the database, The first sewage regulating tank in the industrial sewage plant after standardized treatment The monitoring layer The sewage conductivity value at each monitoring time point, is the conductivity coefficient stored in the database, , is a natural constant, and in this implementation example, it is taken as 2.71. The first sewage regulating tank in the industrial sewage plant The monitoring layer The sewage stability index at each monitoring time point is The first sewage regulating tank in the industrial sewage plant The monitoring layer The sewage temperature value at each monitoring time point, The first sewage regulating tank in the industrial sewage plant The average sewage temperature of each monitoring layer is is the temperature coefficient stored in the database, The first sewage regulating tank in the industrial sewage plant The monitoring layer The pH value of sewage at each monitoring time point, The first sewage regulating tank in the industrial sewage plant The average pH value of sewage in each monitoring layer, is the PH coefficient stored in the database, The first sewage regulating tank in the industrial sewage plant The monitoring layer The sewage pressure value at each monitoring time point, The first sewage regulating tank in the industrial sewage plant The average sewage pressure of each monitoring layer is The first sewage regulating tank in the industrial sewage plant The pressure coefficient at each monitoring time point, , =1,2,3,…, , is the number of monitoring layers, =1,2,3,…, , is the number of monitoring time points.

[0032] It needs to be explained that , , The specific acquisition process is: read the sewage oxidation-reduction potential value, sewage dissolved oxygen content value, and sewage conductivity value of each monitoring time point of each monitoring layer in the sewage regulating tank of the industrial sewage treatment plant after standardized treatment, and perform mean analysis to obtain the mean value of oxidation-reduction potential, mean value of dissolved oxygen content, and mean value of conductivity of the sewage regulating tank in the industrial sewage treatment plant, and perform sum analysis to obtain the water quality and value of the sewage regulating tank in the industrial sewage treatment plant, and perform proportion analysis on the mean value of oxidation-reduction potential, mean value of dissolved oxygen content, and mean value of conductivity of the sewage regulating tank in the industrial sewage treatment plant with the water quality and value, respectively, and use the proportion analysis results as the corresponding coefficients.

[0033] , , The specific acquisition process is: read the mean temperature, mean pH, and mean pressure of each monitoring layer of the sewage equalization tank in the industrial sewage treatment plant, perform sum analysis, and obtain a stable sum value; perform a proportion analysis on the mean temperature, mean pH, and mean pressure of the sewage equalization tank in the industrial sewage treatment plant with the environmental sum value, and use the proportion analysis results as the corresponding coefficients.

[0034] The formula for calculating the comprehensive concentration value of each pollutant at each monitoring time point in each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant and the comprehensive concentration change index of each group of each pollutant in the sewage regulating tank in the industrial sewage treatment plant is as follows: ;in, The first sewage regulating tank in the industrial sewage plant The monitoring layer The monitoring time point The comprehensive concentration of pollutants, The first sewage regulating tank in the industrial sewage plant The monitoring layer The monitoring time point The concentration of pollutants, The first sewage regulating tank in the industrial sewage plant The monitoring time point The sewage quality index of each monitoring layer is is the quality coefficient stored in the database, The first sewage regulating tank in the industrial sewage plant The monitoring layer The sewage stability index at each monitoring time point is is the stability coefficient stored in the database, , The first sewage regulating tank in the industrial sewage plant The first pollutant The comprehensive concentration change index of the group, The first sewage regulating tank in the industrial sewage plant The first pollutant The comprehensive concentration value at the first monitoring time point in the group comprehensive concentration change index, The first sewage regulating tank in the industrial sewage plant The first pollutant The comprehensive concentration value at the second monitoring time point in the group comprehensive concentration change index, =1,2,3,…, , is the number of monitoring layers, =1,2,3,…, , is the number of monitoring time points, =1,2,3,…, , is the type of pollutant, =1,2,3,…, , is the number of groups, is a natural constant, which is 2.71 in this embodiment, and = -1, and the two monitoring time points in each group of comprehensive concentration change index are continuous.

[0035] It needs to be explained that , The specific acquisition process is as follows: the sewage quality index and sewage stability index of each monitoring layer of the sewage regulating tank in the industrial sewage plant at each monitoring time point are analyzed, and the mean value of the sewage quality index and the mean value of the sewage stability index of the sewage regulating tank in the industrial sewage plant are obtained, and summation analysis is performed to obtain the concentration and value of the sewage regulating tank in the industrial sewage plant, and the mean value of the sewage quality index and the mean value of the sewage stability index of the sewage regulating tank in the industrial sewage plant are respectively analyzed with the concentration and value, and the proportion analysis results are used as the corresponding coefficients.

[0036] A specific implementation example of calculating the comprehensive concentration change index of each pollutant at each monitoring time point in the sewage regulating tank of an industrial sewage plant, with the following data: There are 3 monitoring layers in the sewage equalization tank in the industrial sewage treatment plant, and each monitoring layer is set with 2 monitoring time points, and each monitoring layer contains 3 pollutants.

[0037] The concentration values ​​of the three pollutants at one monitoring time point in the first monitoring layer of the sewage equalization tank in the industrial sewage treatment plant are (mg / L): 480.25, 155.30, and 178.45, respectively.

[0038] The concentration values ​​of the three pollutants in the first monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at the two monitoring time points are (mg / L): 485.60, 158.10, and 182.00, respectively.

[0039] The concentration values ​​of the three pollutants at one monitoring time point in the second monitoring layer of the sewage equalization tank in the industrial sewage treatment plant are (mg / L): 495.50, 162.10, and 188.20, respectively.

[0040] The concentration values ​​of the three pollutants in the second monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at the two monitoring time points are (mg / L): 488.30, 158.40, and 183.75, respectively.

[0041] The concentration values ​​of the three pollutants at one monitoring time point in the third monitoring layer of the sewage equalization tank in the industrial sewage treatment plant are (mg / L): 505.00, 162.50, and 192.00, respectively.

[0042] The concentration values ​​of the three pollutants in the third monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at the two monitoring time points are (mg / L): 498.80, 159.10, and 188.70, respectively.

[0043] The sewage quality indexes of the first monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at the two monitoring time points were 0.48 and 0.45 respectively.

[0044] The sewage stability index of the first monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at the two monitoring time points were 0.45 and 0.42 respectively.

[0045] The sewage quality indexes of the second monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at the two monitoring time points were 0.39 and 0.43 respectively.

[0046] The sewage stability index of the second monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at the two monitoring time points were 0.35 and 0.39 respectively.

[0047] The sewage quality indexes of the third monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at the two monitoring time points were 0.40 and 0.45 respectively.

[0048] The sewage stability index of the third monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at the two monitoring time points were 0.42 and 0.43 respectively.

[0049] The quality coefficient of database storage is: 0.59.

[0050] The stability coefficient of database storage is: 0.41.

[0051] Substitute the above data into the comprehensive concentration value of each pollutant at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage plant and the comprehensive concentration change index of each group of each pollutant in the sewage regulating tank in the industrial sewage plant for calculation, and obtain: The comprehensive concentration value of the first pollutant at a monitoring time point in the first monitoring layer of the sewage equalization tank in the industrial sewage treatment plant = 480.25*(1-(arctan(0.48*0.59+0.45*0.41)) / (2.71-1))≈357.78.

[0052] The comprehensive concentration value of the second pollutant at one monitoring time point in the first monitoring layer of the sewage equalization tank in the industrial sewage treatment plant = 155.30*(1-(arctan(0.48*0.59+0.45*0.41)) / (2.71-1))≈115.70.

[0053] The comprehensive concentration value of the third pollutant at one monitoring time point in the first monitoring layer of the sewage equalization tank in the industrial sewage treatment plant = 178.45*(1-(arctan(0.48*0.59+0.45*0.41)) / (2.71-1))≈132.95.

[0054] The comprehensive concentration value of the first pollutant in the first monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at two monitoring time points = 485.60*(1-(arctan(0.45*0.59+0.42*0.41)) / (2.71-1))≈369.06.

[0055] The comprehensive concentration value of the second pollutant in the first monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at the two monitoring time points = 158.10*(1-(arctan(0.45*0.59+0.42*0.41)) / (2.71-1))≈120.16.

[0056] The comprehensive concentration value of the third pollutant in the first monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at two monitoring time points = 182.00*(1-(arctan(0.45*0.59+0.42*0.41)) / (2.71-1))≈138.32.

[0057] The comprehensive concentration value of the first pollutant at one monitoring time point in the second monitoring layer of the sewage equalization tank in the industrial sewage treatment plant = 495.50*(1-(arctan(0.39*0.59+0.43*0.41)) / (2.71-1))≈386.49.

[0058] The comprehensive concentration value of the second pollutant at one monitoring time point in the second monitoring layer of the sewage equalization tank in the industrial sewage treatment plant = 162.10*(1-(arctan(0.39*0.59+0.43*0.41)) / (2.71-1))≈126.44.

[0059] The comprehensive concentration value of the third pollutant at one monitoring time point in the second monitoring layer of the sewage equalization tank in the industrial sewage treatment plant = 188.20*(1-(arctan(0.39*0.59+0.43*0.41)) / (2.71-1))≈146.80.

[0060] The comprehensive concentration value of the first pollutant in the second monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at the two monitoring time points = 488.30*(1-(arctan(0.35*0.59+0.39*0.41)) / (2.71-1))≈385.41.

[0061] The comprehensive concentration value of the second pollutant in the second monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at the two monitoring time points = 158.40*(1-(arctan(0.35*0.59+0.39*0.41)) / (2.71-1))≈126.72.

[0062] The comprehensive concentration value of the third pollutant in the second monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at the two monitoring time points = 183.75*(1-(arctan(0.35*0.59+0.39*0.41)) / (2.71-1))≈147.00.

[0063] The comprehensive concentration value of the first pollutant at one monitoring time point in the third monitoring layer of the sewage equalization tank in the industrial sewage treatment plant = 505.00*(1-(arctan(0.40*0.59+0.45*0.41)) / (2.71-1))≈388.85.

[0064] The comprehensive concentration value of the second pollutant at one monitoring time point in the third monitoring layer of the sewage equalization tank in the industrial sewage treatment plant = 162.40*(1-(arctan(0.40*0.59+0.45*0.41)) / (2.71-1))≈125.05.

[0065] The comprehensive concentration value of the third pollutant at one monitoring time point in the third monitoring layer of the sewage equalization tank in the industrial sewage treatment plant = 192.00*(1-(arctan(0.40*0.59+0.45*0.41)) / (2.71-1))≈147.84.

[0066] The comprehensive concentration value of the first pollutant in the third monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at two monitoring time points = 498.80*(1-(arctan(0.42*0.59+0.43*0.41)) / (2.71-1))≈379.09.

[0067] The comprehensive concentration value of the second pollutant in the third monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at two monitoring time points = 159.10*(1-(arctan(0.42*0.59+0.43*0.41)) / (2.71-1))≈120.92.

[0068] The comprehensive concentration value of the third pollutant in the third monitoring layer of the sewage equalization tank in the industrial sewage treatment plant at two monitoring time points = 188.70*(1-(arctan(0.42*0.59+0.43*0.41)) / (2.71-1))≈143.41.

[0069] Then the first group comprehensive concentration change index of the first pollutant in the sewage regulating tank of the industrial sewage plant = (1 / 3) * ((369.06-357.78) / 357.78) 1 / 2 + ((385.41-386.49) / 386.49) 1 / 2 + ((379.09-388.8) / 388.85) 1 / 2 )≈-0.12.

[0070] The first group comprehensive concentration change index of the second pollutant in the sewage regulating tank of the industrial sewage plant = (1 / 3) * (((120.16-115.70) / 115.70) 1 / 2 + ((126.72-126.44) / 126.44) 1 / 2 + ((120.92-125.05) / 125.05) 1 / 2 )≈-0.17.

[0071] The first group comprehensive concentration change index of the third pollutant in the sewage regulating tank of the industrial sewage plant = (1 / 3) * (((138.32-132.95) / 132.95) 1 / 2 + ((147.00-146.80) / 146.80) 1 / 2+ ((143.41-147.84) / 147.84)) 1 / 2 ≈-0.16.

[0072] In this implementation plan, by analyzing the comprehensive pollutant concentration change index, abnormal fluctuations or sudden increases in pollutant concentrations can be discovered in a timely manner, thereby providing a basis for subsequent pollution source tracking and rectification, thereby improving the response speed and treatment capacity of the sewage treatment plant. Secondly, by calculating the sewage quality index and stability index, the overall water quality and stability of the sewage can be comprehensively evaluated. At the same time, the dynamic changes in sewage quality and stability are helpful to determine whether the sewage treatment process is effective, and then adjust the process conditions in a timely manner to avoid excessive pollutant emissions. In addition, through standardized processing and comprehensive analysis, the automatic monitoring and real-time feedback of the data of each monitoring point in the sewage regulating tank are realized. Once the pollution at a certain monitoring point When the concentration of pollutants exceeds the preset threshold, the traceability mechanism will be automatically triggered, and timely response measures will be taken to reduce potential hazards to the environment and human health. By accurately tracing the source of pollutants, managers can carry out targeted control of pollution sources, thereby avoiding waste of resources, thereby improving the operating efficiency of sewage treatment facilities, while reducing excessive intervention in the entire system and controlling operation and maintenance costs. Finally, based on the dynamic analysis of monitoring data, sewage treatment plants can continuously optimize treatment strategies, and by understanding the changing patterns of different monitoring time points and pollutants, they can predict possible sewage quality problems in advance, and make targeted process adjustments and resource allocations to ensure the efficiency and stability of the sewage treatment process.

[0073] Specifically, Figure 2 As shown, the specific steps for obtaining several predicted sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant are: inputting the monitoring data of the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant into the pre-established pollution classification model for classification analysis, and obtaining the probability values ​​of several predicted pollutants at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; and judging and analyzing the probability value of each predicted pollutant at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant with the preset probability threshold, and obtaining several pollutants at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; comparing and analyzing each pollutant at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant with the pollutants to be traced in the sewage regulating tank in the industrial sewage plant, and obtaining several predicted sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant.

[0074] Among them, the specific process of judgment and analysis is: if the probability value of each predicted pollutant at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant is lower than the preset probability threshold, then the pollutant does not exist at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant; if the probability value of each pollutant at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant is higher than or equal to the preset probability threshold, then the pollutant exists at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant; and combined with statistical analysis, several pollutants at each monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant are obtained.

[0075] In this implementation scheme, by inputting the monitoring data of the abnormal monitoring time point of each monitoring layer into the pre-established pollution classification model, the pollutants of each sewage discharge pipe can be accurately predicted based on historical data and machine learning models, so as to identify potential pollution sources and facilitate the necessary response measures. Secondly, the pollutants at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant are monitored to ensure that the pollution situation of each sewage discharge pipe at the abnormal monitoring time point is fed back in time, which helps to quickly discover abnormal situations. At the same time, by judging and analyzing the probability values ​​of pollutants and combining with the preset probability threshold, it is possible to accurately judge which pollutants exist at the abnormal monitoring time point, avoid blindly processing invalid data, and then improve decision-making efficiency. The pollutants to be traced in the sewage regulating tank are compared and analyzed, the pollution source is initially located, and the connection method of each sewage discharge pipe provides a detailed pollutant flow trajectory. Finally, the changes in pollutants are tracked and analyzed using statistical analysis methods, so that the system can make adaptive adjustments according to the changing trends of different pollutants and optimize sewage treatment and emission control measures.

[0076] Specifically, the pollution classification model is a variational autoencoder, and the specific steps of obtaining the probability values ​​of several predicted pollutants at each monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant are as follows: the monitoring data of the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant is preprocessed to obtain the monitoring feature dimensions of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant at each monitoring time point (i.e., the chemical oxygen demand concentration value of the pipeline sewage, the biochemical oxygen demand concentration value of the pipeline sewage, the total nitrogen concentration value of the pipeline sewage, the ammonia nitrogen concentration value of the pipeline sewage, the pipeline Total phosphorus concentration in sewage); and perform nonlinear transformation on the monitoring feature dimensions of abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, and obtain the mean and standard deviation of several potential variables at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; and perform sampling analysis on the mean and standard deviation of several potential variables at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, and obtain the potential variables at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant (that is, the sampling layer is based on the coding The mean and standard deviation of the output of the encoder are used to sample a latent variable from the latent space, and the sampling process is completed through the reparameterization technique. This process enables the latent variable to be randomly sampled in the latent space, thereby reflecting the uncertainty and diversity in the data); and the decoder in the variational autoencoder is combined to decode and analyze the latent variables of the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant, and obtain several pollutant reconstruction features of the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant (and the size of the output layer is usually the same as the dimension of the original data, because it needs to reconstruct a feature vector similar to the input data); and the classifier in the variational autoencoder is combined to classify and analyze the several pollutant reconstruction features of the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant, and obtain several predicted pollutants at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant, and the activation function (Softmax) in the variational autoencoder is combined for analysis to obtain the probability value of each predicted pollutant at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant.

[0077] Among them, the variational autoencoder includes an encoder, a sampling layer, a decoder, and a classifier. The encoder includes an encoding input layer, an encoding hidden layer, and an encoding output layer. The decoder includes a decoding input layer, a decoding hidden layer, and a decoding output layer. The classifier includes a classifier input layer, a classifier hidden layer, and a classifier output layer.

[0078] The encoder is used to map the input high-dimensional data into distribution parameters (mean and variance) in the latent space.

[0079] The encoding input layer is used to input feature dimensions, that is, it accepts raw data as input, such as the monitoring data of sewage monitoring (such as the chemical oxygen demand concentration value of piped sewage, the biochemical oxygen demand concentration value of piped sewage, the suspended solids concentration value, the total nitrogen concentration value of piped sewage, the ammonia nitrogen concentration value of piped sewage, and the total phosphorus concentration value of piped sewage). The feature dimension is the feature number of the raw data (that is, the number of parameters of the construction data).

[0080] The encoding hidden layer is used to extract implicit patterns and features of the data and gradually reduce the data dimension. It consists of one or more layers of fully connected neurons, and the activation function is usually ReLU (or Leaky ReLU).

[0081] The encoding output layer is used to generate the parameters of the latent distribution: the mean vector (representing the central position of the latent variable), the logarithmic variance vector (representing the distribution range of the latent variable), and two sets of fully connected layers, each with an output dimension equal to the dimension of the latent variable.

[0082] The sampling layer is used to sample from the potential distribution and generate latent variables, that is, to encode the implicit features of the high-dimensional input data into low-dimensional latent variables to provide input for the decoder.

[0083] The decoder is used to gradually recover the features of the input data through the representation of latent variables.

[0084] The decoder input layer is used to receive the latent variables and prepare to start mapping the low-dimensional features back to the high-dimensional space.

[0085] The decoding hidden layer is used to gradually enlarge the dimension, extract the pattern of the latent variable, and convert it into a high-dimensional feature. It contains 1-3 layers of fully connected networks, and the activation function is ReLU or Sigmoid.

[0086] The decoding output layer is used to restore to the same dimension as the input layer and output a high-dimensional reconstruction result similar to the original data.

[0087] The classifier is used to classify based on the output of the decoder and identify the types of pollutants in the data.

[0088] The classifier output layer is used to receive the output of the decoder and use it as the input for pollutant classification.

[0089] The hidden layer of the classifier is used to extract the nonlinear pattern of the input data for classification tasks. It contains 1-2 layers of fully connected networks, and the activation function is ReLU or Softmax.

[0090] The classifier output layer is used to output the probability distribution of pollutant types, which is used to judge the possibility of each pollutant, that is, the Softmax activation function is used to convert the output into a probability value.

[0091] The specific process of obtaining the probability values ​​of several predicted pollutants at each monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant is as follows: And the pre-establishment process of the variational autoencoder is: Obtain monitoring data at each monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in several groups of industrial sewage plants, establish a monitoring data set, and divide the traffic data set into a monitoring training data set and a monitoring verification data set; And initialize the variational autoencoder, specifically the generation of encoder, decoder, and classifier; Train the pre-established pollution classification model based on the monitoring training data set, and calculate the reconstruction loss function and KL divergence loss function; The performance of the pollution classification model is evaluated based on the monitoring validation data set, and the model parameters are adjusted according to the validation results until the model prediction results meet the expected standards.

[0092] In this implementation scheme, the variational autoencoder (VAE) can effectively process the high-dimensional monitoring data in the industrial wastewater plant. The encoder maps the high-dimensional data to a low-dimensional latent space, thereby extracting the implicit features in the data, which helps to reduce the amount of calculation and improve the efficiency of data processing. Secondly, by combining the monitoring data with the variational autoencoder, it can accurately classify and predict the types of pollutants in each sewage discharge pipe at different monitoring time points, thereby providing the type of pollutants and quantifying the possibility of their occurrence (i.e., the probability value of each pollutant), providing a scientific basis for decision-making. At the same time, the reparameterization technique in VAE allows the model to randomly sample from the latent space, thereby reflecting the uncertainty and diversity in the data, and then This enables the model to better handle noise and uncertainty in the data and provide more robust prediction results. In addition, through in-depth analysis of the monitoring data of each sewage discharge pipe, it can predict possible pollutants at each time point and output their probability values ​​in combination with the Softmax function, thereby helping managers to understand the changes in pollutants in a timely manner and implement corresponding treatment measures, thereby improving the efficiency and effectiveness of sewage treatment. Finally, by using training and validation data sets, the variational autoencoder can gradually optimize the model parameters to ensure its good performance on different data sets, so that the model is continuously adjusted during the training process to avoid overfitting, thereby improving the generalization ability of the model and making it more adaptable in actual monitoring scenarios.

[0093] Specifically, the specific steps for obtaining the comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant are as follows: obtain the water body reference diffusion coefficient, pipeline sewage reference viscosity value, and pipeline sewage reference temperature value of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, and conduct a comprehensive analysis based on the pipeline sewage viscosity value and pipeline sewage temperature value at the abnormal monitoring time point to obtain the pollution diffusion coefficient at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; The pipeline sewage velocity value, pipeline sewage flow value, pipeline length value and water body diffusion coefficient at the abnormal monitoring time point of the sewage discharge pipeline are comprehensively analyzed to obtain the pollution migration coefficient of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant; and the pollution concentration values ​​of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant are comprehensively analyzed with the pollution migration coefficient to obtain the comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant.

[0094] The water body reference diffusion coefficient is the diffusion capacity of the water body under an ideal state (i.e., there is no pollution in the water body in the pipeline), which is obtained through the dynamic research literature stored in the water body database.

[0095] The reference viscosity value of piped sewage refers to the fluidity of water under ideal conditions (i.e., there is no pollution in the water body in the pipe), which is obtained through relevant engineering manuals stored in the database.

[0096] The reference temperature value of pipeline sewage is the water temperature value under ideal conditions (i.e., there is no pollution in the water body in the pipeline), which is obtained through relevant engineering manuals stored in the database.

[0097] The formula for calculating the pollution diffusion coefficient, pollution migration coefficient and comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant is as follows: ;in, It is the first one connected to the sewage regulating tank in the industrial sewage plant. The pollution diffusion coefficient of the abnormal monitoring time point of the sewage discharge pipeline is predicted. It is the first one connected to the sewage regulating tank in the industrial sewage plant. A reference diffusion coefficient for predicting water bodies in sewage discharge pipes, It is the first one connected to the sewage regulating tank in the industrial sewage plant. The viscosity value of the pipe sewage at the time of abnormal monitoring in the sewage discharge pipeline is predicted. It is the first one connected to the sewage regulating tank in the industrial sewage plant. A reference viscosity value of pipe sewage for predicting sewage discharge pipes, is the viscosity factor stored in the database, which is 0.5 in this implementation example. It is the first one connected to the sewage regulating tank in the industrial sewage plant. The temperature value of sewage in the pipeline at the abnormal monitoring time point of the sewage discharge pipeline is predicted. It is the first one connected to the sewage regulating tank in the industrial sewage plant. A reference temperature value of sewage pipe for predicting sewage discharge pipes, is the water temperature factor stored in the database, which is 1.5 in this implementation example. It is the first one connected to the sewage regulating tank in the industrial sewage plant. The pollution migration coefficient of the abnormal monitoring time point of the sewage discharge pipeline is predicted, is the change factor stored in the database, which is 0.5 in this implementation example. It is the first one connected to the sewage regulating tank in the industrial sewage plant. The sewage flow velocity value of the pipeline at the abnormal monitoring time point of the sewage discharge pipeline is predicted. It is the first one connected to the sewage regulating tank in the industrial sewage plant. The pipe length value of the sewage discharge pipe at the abnormal monitoring time point is predicted, is the water flow coefficient stored in the database, which is taken as 0.75 in this implementation example. is a natural constant, which is taken as 2.71 in this implementation example. It is the first one connected to the sewage regulating tank in the industrial sewage plant. The comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of the predicted sewage discharge pipeline, It is the first one connected to the sewage regulating tank in the industrial sewage plant. The pollution concentration value of the pollutant to be traced at the abnormal monitoring time point of the sewage discharge pipeline is predicted. =1,2,3,…, , To predict the number of sewage discharge pipes.

[0098] In this implementation scheme, by dynamically calculating the diffusion and migration of pollutants in the predicted sewage discharge pipeline, the comprehensive pollution concentration value of pollutants in the pipeline can be accurately obtained, thereby reflecting the actual concentration level of pollutants in the sewage discharge pipeline, and then helping to monitor the changing trend of pollutants. In addition, multiple factors such as pipeline sewage flow rate, flow rate, sewage temperature and viscosity are considered in the calculation, thereby more truly reflecting the behavior of pollutants in actual sewage. Secondly, by analyzing the comprehensive pollutant concentration of pollutants to be traced in the predicted sewage discharge pipeline, it can help trace the source of pollution and identify the specific source and transmission path of pollutants. Finally, the accurate calculation of the pollutant concentration in the pipeline is helpful to determine the pollution load of each pipeline section, thereby optimizing the working parameters of the sewage treatment facilities, and adjusting various parameters in the sewage treatment process according to the fluctuations in the pollutant concentration values, thereby ensuring that the treatment effect is maximized.

[0099] Specifically, the specific steps for obtaining several sewage discharge pipes of pollution sources connected to the sewage regulating tank in the industrial sewage plant are as follows: read the comprehensive concentration value of the pollutants to be traced at the abnormal monitoring time point of the sewage regulating tank in the industrial sewage plant, and perform a proportion analysis with the comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, to obtain the concentration proportion coefficient of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; and The concentration proportion coefficients are judged and analyzed with the preset concentration proportion coefficient thresholds respectively; if the concentration proportion coefficient of the pollutants to be traced at the abnormal monitoring time point of the pollutants in each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant is higher than the preset concentration proportion coefficient threshold, then the predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant is marked as a pollution source sewage discharge pipeline; if the concentration proportion coefficient of the pollutants to be traced at the abnormal monitoring time point of the pollutants in each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant is lower than or equal to the preset concentration proportion coefficient threshold, it will not be marked; and a statistical analysis is performed on several pollution source sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant.

[0100] In this implementation scheme, by calculating and analyzing the concentration ratio coefficient of the pollutants to be traced in the sewage equalization tank, the specific pollution source can be accurately identified, thereby marking the sewage discharge pipe of the pollution source, and then identifying the specific location of the pollution source, which is convenient for subsequent processing and monitoring. If the concentration ratio coefficient of certain pipes is higher than the preset threshold, this means that the sewage discharge of the pipe contributes more to the overall pollution load, and it is therefore marked as a pollution source pipe, which helps to solve the pollution problem in a targeted manner, and the concentration ratio coefficient of each predicted sewage discharge pipe is analyzed in real time, so that changes in pollution sources can be dynamically monitored. For example, if the pollution ratio of a certain pipe suddenly increases, it can be quickly identified and corresponding countermeasures can be taken, thereby helping managers to promptly discover potential pollution sources in the system and take effective control measures to avoid further spread of pollution.

[0101] See also Figure 3The embodiment of the present invention provides a technical solution: a pollutant source tracing system for an industrial sewage treatment plant, comprising: a data division module, an identification and analysis module, a prediction and analysis module, a comprehensive analysis module, and a source tracing analysis module; the data division module is used to perform in-depth division of the sewage regulating tank in the industrial sewage treatment plant to obtain several monitoring layers of the sewage regulating tank in the industrial sewage treatment plant, and continuously obtain sewage data at several monitoring time points for each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant; the identification and analysis module is used to perform a comprehensive analysis on the sewage data at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant, and identify the pollutants to be traced in the sewage regulating tank in the industrial sewage treatment plant based on the analysis results; the prediction and analysis module is used to synchronously obtain the monitoring data of several sewage discharge pipes connected to the sewage regulating tank at the abnormal monitoring time point of the sewage regulating tank in the industrial sewage treatment plant and perform a comprehensive analysis to obtain several types of pollutants at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant, and identify Analysis is performed to obtain several predicted sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant; the comprehensive analysis module is used to synchronously obtain the sewage discharge data at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, and conduct a comprehensive analysis to obtain the comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; the tracing analysis module is used to conduct a comprehensive analysis of the comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, obtain several pollution source sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant, and obtain the emission source location information of each pollution source sewage discharge pipe (for example, if the emission source connected to the pollution source sewage discharge pipe is a factory, the corresponding factory will be marked as the emission source), and they are marked as the pollution sources of the pollutants to be traced at the abnormal monitoring time point of the sewage regulating tank in the industrial sewage plant, and corresponding control measures are taken at the same time.

[0102] In summary, this application has at least the following effects: Through the depth division of sewage equalization tanks in industrial sewage treatment plants and the analysis of real-time monitoring data, it is possible to accurately trace the sewage pollutants. The real-time identification of abnormal pollutants helps to quickly locate the source of pollution, thereby avoiding misjudgment or delays, and then ensuring a faster and more effective response to sewage pollution and reducing environmental risks.

[0103] By synchronously acquiring the sewage discharge pipe data connected to the sewage regulating tank and conducting a comprehensive analysis to identify the predicted pollution discharge pipes, abnormal situations can be discovered in time and preventive measures can be taken, thereby effectively avoiding the spread of pollutants, thereby reducing the time cost and economic losses of environmental governance, and subsequently improving the overall management efficiency of the sewage treatment plant.

[0104] By real-time monitoring and analysis of pollutant data in sewage regulating tanks and related discharge pipes, pollutants to be traced can be accurately identified, allowing sewage treatment plants to quickly respond to potential pollution problems and take necessary emergency measures before the pollution spreads. Resources can then be arranged and treatment equipment can be dispatched to reduce the harm of pollutants to the environment, while also reducing the economic losses and environmental restoration costs caused by pollution incidents.

[0105] Through accurate pollution source positioning and pollutant concentration analysis, a scientific basis can be provided for the management and control measures of sewage treatment plants to ensure that the measures taken are practical and effective, thereby improving the effect of pollution control, optimizing resource allocation, and reducing pollution emissions while reducing treatment costs, thereby achieving a win-win situation in economic and environmental benefits.

[0106] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0107] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for tracing the source of pollutants in industrial wastewater plants, characterized in that: The following steps are involved: Depth division is performed on the sewage regulating tank in the industrial sewage treatment plant to obtain several monitoring layers of the sewage regulating tank in the industrial sewage treatment plant, and sewage data at several monitoring time points are continuously obtained for each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant; Comprehensively analyze the sewage data of each monitoring layer at each monitoring time point of the sewage regulating tank in the industrial sewage treatment plant, and identify the pollutants to be traced in the sewage regulating tank in the industrial sewage treatment plant based on the analysis results; At the abnormal monitoring time point of the sewage regulating tank in the industrial sewage plant, the monitoring data of several sewage discharge pipes connected to the sewage regulating tank are synchronously obtained and comprehensively analyzed to obtain several pollutants at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, and identification analysis is performed to obtain several predicted sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant; And synchronously obtain the sewage discharge data at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant, and conduct a comprehensive analysis to obtain the comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant; A comprehensive analysis is conducted on the comprehensive pollution concentration values ​​of the pollutants to be traced at each predicted abnormal monitoring time point of each sewage discharge pipe connected to the sewage equalization tank in the industrial sewage plant, and several sewage discharge pipes from pollution sources connected to the sewage equalization tank in the industrial sewage plant are obtained. The emission source location information of each sewage discharge pipe from pollution sources is obtained, and they are marked as the pollution sources of the pollutants to be traced at the abnormal monitoring time point of the sewage equalization tank in the industrial sewage plant, and corresponding control measures are taken at the same time.

2. The method for tracing the source of pollutants in industrial wastewater plants according to claim 1, characterized in that: The sewage data specifically include the sewage oxidation-reduction potential value, sewage dissolved oxygen content value, sewage conductivity value, sewage temperature value, sewage pH value, sewage pressure value, and the concentration value of each pollutant; the monitoring data specifically include the piped sewage chemical oxygen demand concentration value, piped sewage biochemical oxygen demand concentration value, piped sewage total nitrogen concentration value, piped sewage ammonia nitrogen concentration value, and piped sewage total phosphorus concentration value; the sewage discharge data specifically include the piped sewage flow rate value, piped sewage flow rate value, pipe length value, piped sewage viscosity value, piped sewage temperature value, water flow section diameter value, and pollution concentration value of pollutants to be traced; the emission source location information specifically includes the longitude and latitude values ​​of the emission source.

3. The method for tracing the source of pollutants in industrial wastewater plants according to claim 2, characterized in that: The specific steps for identifying the pollutants to be traced in the sewage regulating tank of the industrial sewage plant based on the analysis results are as follows: Standardize the sewage oxidation-reduction potential value, sewage dissolved oxygen content value, and sewage conductivity value at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage plant; A comprehensive analysis is conducted on the sewage oxidation-reduction potential value, sewage dissolved oxygen content value, and sewage conductivity value at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage plant after standardized treatment, to obtain the sewage quality index at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage plant; Perform mean analysis on the sewage temperature value, sewage pH value, and sewage pressure value at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage plant to obtain the mean sewage temperature, sewage pH value, and sewage pressure value of each monitoring layer of the sewage regulating tank in the industrial sewage plant; A comprehensive analysis is conducted on the mean sewage temperature, mean sewage pH, mean sewage pressure of each monitoring layer of the sewage regulating tank in the industrial sewage plant, as well as the sewage temperature value, sewage pH value, and sewage pressure value at each monitoring time point, to obtain the sewage stability index of each monitoring layer of the sewage regulating tank in the industrial sewage plant at each monitoring time point; A comprehensive analysis is also conducted on the sewage quality index, sewage stability index and concentration value of each pollutant at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant to obtain the comprehensive concentration value of each pollutant at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant; And analyze the comprehensive concentration value of each pollutant at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage plant to obtain several groups of comprehensive concentration change indexes of each pollutant in the sewage regulating tank in the industrial sewage plant; The comprehensive concentration change index of each group of pollutants in the sewage regulating tank of the industrial sewage plant is judged and analyzed respectively with the preset concentration change threshold of the corresponding pollutant; If there are pollutants in the sewage equalization tank of an industrial sewage treatment plant whose comprehensive concentration change index is higher than the preset concentration change threshold, they will be marked as pollutants to be traced, and the abnormal monitoring time points in the corresponding group's comprehensive concentration change index will be identified.

4. The method for tracing the source of pollutants in industrial wastewater plants according to claim 3, characterized in that: The formula for calculating the comprehensive concentration value of each pollutant at each monitoring time point in each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant and the comprehensive concentration change index of each group of each pollutant in the sewage regulating tank in the industrial sewage treatment plant is as follows: ; in, The first sewage regulating tank in the industrial sewage plant The monitoring layer The monitoring time point The comprehensive concentration of pollutants, The first sewage regulating tank in the industrial sewage plant The monitoring layer The monitoring time point The concentration of pollutants, The first sewage regulating tank in the industrial sewage plant The monitoring time point The sewage quality index of each monitoring layer is is the quality coefficient stored in the database, The first sewage regulating tank in the industrial sewage plant The monitoring layer The sewage stability index at each monitoring time point is is the stability coefficient stored in the database, , The first sewage regulating tank in the industrial sewage plant The first pollutant The comprehensive concentration change index of the group, The first sewage regulating tank in the industrial sewage plant The first pollutant The comprehensive concentration value at the first monitoring time point in the group comprehensive concentration change index, The first sewage regulating tank in the industrial sewage plant The first pollutant The comprehensive concentration value at the second monitoring time point in the group comprehensive concentration change index, =1,2,3,…, , is the number of monitoring layers, =1,2,3,…, , is the number of monitoring time points, =1,2,3,…, , is the type of pollutant, =1,2,3,…, , is the number of groups, is a natural constant.

5. The method for tracing the source of pollutants in industrial wastewater plants according to claim 2, characterized in that: The specific steps to obtain several predicted sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant are: Input the monitoring data of abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant into the pre-established pollution classification model for classification analysis, and obtain the probability values ​​of several predicted pollutants at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; The probability value of each predicted pollutant at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant is judged and analyzed with the preset probability threshold, and several pollutants at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant are obtained; Each pollutant at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant is compared and analyzed with the pollutants to be traced in the sewage regulating tank in the industrial sewage plant to obtain several predicted sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant.

6. The method for tracing the source of pollutants in industrial wastewater plants according to claim 5, characterized in that: The pollution classification model is specifically a variational autoencoder, and the specific steps of obtaining the probability values ​​of several predicted pollutants at each monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant are as follows: Preprocess the monitoring data of abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant to obtain the monitoring characteristic dimension of each monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; The monitoring characteristic dimensions of the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant are nonlinearly transformed to obtain the means and standard deviations of several variables of the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; And the mean and standard deviation of several variables at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant are sampled and analyzed to obtain the variables at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; Combined with the decoder in the variational autoencoder, the variables of the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant are decoded and analyzed to obtain several pollutant reconstruction features of the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; Combined with the classifier in the variational autoencoder, classification analysis is performed on several pollutant reconstruction features of the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant, and several predicted pollutants at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant are obtained. Combined with the activation function in the variational autoencoder, analysis is performed to obtain the probability value of each predicted pollutant at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant.

7. The method for tracing the source of pollutants in industrial wastewater plants according to claim 2, characterized in that: The specific steps for obtaining the comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant are as follows: Obtain the water body reference diffusion coefficient, pipe sewage reference viscosity value, and pipe sewage reference temperature value of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, and conduct a comprehensive analysis based on the pipe sewage viscosity value and pipe sewage temperature value at the abnormal monitoring time point to obtain the pollution diffusion coefficient at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant; Comprehensively analyze the pipeline sewage velocity value, pipeline sewage flow value, pipeline length value, and water body diffusion coefficient at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant, and obtain the pollution migration coefficient of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant; The pollution concentration values ​​of the pollutants to be traced at each predicted abnormal monitoring time point of sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage treatment plant are comprehensively analyzed with the pollution migration coefficient to obtain the comprehensive pollution concentration values ​​of the pollutants to be traced at each predicted abnormal monitoring time point of sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage treatment plant.

8. The method for tracing the source of pollutants in industrial wastewater plants according to claim 7, characterized in that: The formula for calculating the pollution diffusion coefficient, pollution migration coefficient and comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant is as follows: ； in, It is the first one connected to the sewage regulating tank in the industrial sewage plant. The pollution diffusion coefficient of the abnormal monitoring time point of the sewage discharge pipeline is predicted. It is the first one connected to the sewage regulating tank in the industrial sewage plant. A reference diffusion coefficient for predicting water bodies in sewage discharge pipes, It is the first one connected to the sewage regulating tank in the industrial sewage plant. The viscosity value of the pipe sewage at the time of abnormal monitoring in the sewage discharge pipeline is predicted. It is the first one connected to the sewage regulating tank in the industrial sewage plant. A reference viscosity value of pipe sewage for predicting sewage discharge pipes, is the viscosity factor stored in the database, It is the first one connected to the sewage regulating tank in the industrial sewage plant. The temperature value of sewage in the pipeline at the abnormal monitoring time point of the sewage discharge pipeline is predicted. It is the first one connected to the sewage regulating tank in the industrial sewage plant. A reference temperature value of sewage pipe for predicting sewage discharge pipes, The water temperature factor stored in the database, It is the first one connected to the sewage regulating tank in the industrial sewage plant. The pollution migration coefficient of the abnormal monitoring time point of the sewage discharge pipeline is predicted, The change factor stored in the database, It is the first one connected to the sewage regulating tank in the industrial sewage plant. The sewage flow velocity value of the pipeline at the abnormal monitoring time point of the sewage discharge pipeline is predicted. It is the first one connected to the sewage regulating tank in the industrial sewage plant. The pipe length value of the sewage discharge pipe at the abnormal monitoring time point is predicted, is the water flow coefficient stored in the database, is a natural constant, It is the first one connected to the sewage regulating tank in the industrial sewage plant. The comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of the predicted sewage discharge pipeline, It is the first one connected to the sewage regulating tank in the industrial sewage plant. The pollution concentration value of the pollutant to be traced at the abnormal monitoring time point of the sewage discharge pipeline is predicted. =1,2,3,…, , To predict the number of sewage discharge pipes.

9. The method for tracing the source of pollutants in industrial wastewater plants according to claim 1, characterized in that: The specific steps for obtaining several sewage discharge pipes from pollution sources connected to the sewage regulating tank in the industrial sewage plant are as follows: The comprehensive concentration value of the pollutants to be traced at the abnormal monitoring time point of the sewage regulating tank in the industrial sewage plant is read, and the comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant is respectively analyzed to obtain the concentration proportion coefficient of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant; The concentration ratio coefficient of the pollutant to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant is judged and analyzed with the preset concentration ratio coefficient threshold. If the concentration ratio coefficient of the pollutant to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant is higher than the preset concentration ratio coefficient threshold, the predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant is marked as a pollution source sewage discharge pipeline. If the concentration ratio coefficient of the pollutant to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant is lower than or equal to the preset concentration ratio coefficient threshold, no marking will be performed; And statistical analysis is conducted on several sewage discharge pipes from pollution sources connected to sewage regulating tanks in industrial sewage treatment plants.

10. An industrial sewage plant pollutant source tracing system, using the industrial sewage plant pollutant source tracing method according to any one of claims 1 to 9, characterized in that: include: Data partitioning module, identification analysis module, prediction analysis module, comprehensive analysis module, and source tracing analysis module; The data division module is used to perform depth division on the sewage regulating tank in the industrial sewage treatment plant to obtain several monitoring layers of the sewage regulating tank in the industrial sewage treatment plant, and continuously obtain sewage data at several monitoring time points for each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant; The identification and analysis module is used to comprehensively analyze the sewage data of each monitoring layer at each monitoring time point of the sewage regulating tank in the industrial sewage plant, and identify the pollutants to be traced in the sewage regulating tank in the industrial sewage plant based on the analysis results; The prediction and analysis module is used to synchronously obtain the monitoring data of several sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant at the abnormal monitoring time point and conduct a comprehensive analysis to obtain several pollutants at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, and perform identification analysis to obtain several predicted sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant; The comprehensive analysis module is used to synchronously obtain the sewage discharge data at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant, and conduct a comprehensive analysis to obtain the comprehensive pollution concentration value of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage plant; The source tracing analysis module is used to conduct a comprehensive analysis of the comprehensive pollution concentration values ​​of the pollutants to be traced at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage plant, obtain several sewage discharge pipes of pollution sources connected to the sewage regulating tank in the industrial sewage plant, and obtain the emission source location information of each sewage discharge pipe of the pollution source, and mark them as the pollution sources of the pollutants to be traced at the abnormal monitoring time point of the sewage regulating tank in the industrial sewage plant, and take corresponding control measures at the same time.

Images