A method and system for tracing pollutants in an industrial sewage treatment plant

Abstract

The present invention discloses a method and system for tracing pollutants in an industrial sewage treatment plant, which relates to the field of tracing pollutants in an industrial sewage treatment plant. The method for tracing pollutants in an industrial sewage treatment plant deeply divides the sewage regulating tank in the industrial sewage treatment plant to obtain several monitoring layers of the sewage regulating tank, and continuously obtains sewage data at several monitoring time points for each monitoring layer of the sewage regulating tank, and performs identification and analysis to obtain the pollutants to be traced. At the same time, the monitoring data of several sewage discharge pipes connected to the sewage regulating tank are obtained and comprehensively analyzed to obtain several predicted sewage discharge pipes in the industrial sewage treatment plant connected to the sewage regulating tank. By comprehensively analyzing each predicted sewage discharge pipe, the present invention obtains several source sewage discharge pipes in the industrial sewage treatment plant connected to the sewage regulating tank, thereby realizing the accurate tracing of sewage pollutants and avoiding errors in the tracing process.

Description

Technical Field

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

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

[0003] The prior art, such as a method, device, storage medium and computer equipment for tracing pollutants in an industrial sewage treatment plant disclosed in a patent application with the publication number of CN116298159B, the tracing method includes: dividing the pollution source areas according to the pollutant types; and performing water quality detection before the sewage in the sewage confluence pipelines in different pollution source areas flows into the main pipeline of the sewage treatment plant inlet pipeline network; the detected water quality data is uploaded online in real time; if an abnormal alarm is issued in the detection result, it indicates that there is excessive sewage discharge in the pollution source area. Since similar enterprises are generally concentrated and each area has the same main pollutants, the pollution source areas can be divided according to the main pollutant types. By performing online water quality detection on the sewage flowing into the main pipeline of the sewage treatment plant inlet pipeline network, the sewage discharge situation in each area can be understood in real time, which is convenient for tracing the pollution source areas.

[0004] Based on the above scheme, it is found that the limitations of the prior art at least include the following problems. First, the prior art lacks comprehensive analysis of multiple monitoring layers and multiple discharge pipelines, resulting in difficulty in effectively identifying complex pollution sources. In the case of complex sewage regulating ponds and pipeline systems, it is easy to lead to inaccurate tracing results. Second, the prior art fails to make full use of the multi-level and multi-time point data of the sewage regulating pond, thus missing the change information of the sewage at different levels and different time periods inside the regulating pond, and further limiting the accurate positioning and timely warning of the pollutant source. Moreover, the prior art fails to fully consider the mutual influence between different pipelines and the sewage regulating pond and the cross-regional diffusion effect of pollutants, thus easily leading to tracing errors in the tracing process. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides a method and system for tracing the sources of pollutants in an industrial sewage treatment plant, which solves the problems that the prior art lacks comprehensive analysis of multiple monitoring layers and multiple discharge pipes, resulting in difficulty in effectively identifying complex pollution sources. In the case of complex sewage regulating ponds and pipeline systems, it is easy to lead to inaccuracies in the tracing results. Secondly, the prior art fails to make full use of the multi-level and multi-time-point data of the sewage regulating pond, thus missing the change information of the sewage at different levels and different time periods inside the regulating pond, and further limiting the accurate positioning and timely warning of the pollution source. Moreover, the prior art fails to fully consider the mutual influence between different pipes and the sewage regulating pond and the cross-regional diffusion effect of pollutants, thus easily leading to the problem of tracing errors in the tracing process.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A method for tracing the sources of pollutants in an industrial sewage treatment plant, comprising the following steps: deeply dividing the sewage regulating pond in the industrial sewage treatment plant to obtain several monitoring layers of the sewage regulating pond in the industrial sewage treatment plant, and continuously obtaining sewage data at several monitoring time points for each monitoring layer of the sewage regulating pond in the industrial sewage treatment plant; comprehensively analyzing the sewage data at each monitoring time point of each monitoring layer of the sewage regulating pond in the industrial sewage treatment plant, and identifying the pollutants to be traced in the sewage regulating pond in the industrial sewage treatment plant based on the analysis results; when an abnormal monitoring time point occurs in the sewage regulating pond in the industrial sewage treatment plant, synchronously obtaining the monitoring data of several sewage discharge pipes connected to the sewage regulating pond and comprehensively analyzing them to obtain several pollutants at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating pond in the industrial sewage treatment plant, and performing identification and analysis to obtain several predicted sewage discharge pipes connected to the sewage regulating pond in the industrial sewage treatment plant; and synchronously obtaining the sewage discharge data at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating pond in the industrial sewage treatment plant and comprehensively analyzing them 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 pond in the industrial sewage treatment plant; comprehensively analyzing 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 pond in the industrial sewage treatment plant to obtain several pollution source sewage discharge pipes connected to the sewage regulating pond in the industrial sewage treatment plant, obtaining the emission source location information of each pollution source sewage discharge pipe, and respectively marking them as the pollution sources of the pollutants to be traced at the abnormal monitoring time point of the sewage regulating pond in the industrial sewage treatment plant, and at the same time taking corresponding control measures.

[0007] An industrial sewage plant pollutant tracing system includes: a data division module, an identification and analysis module, a prediction and analysis module, a comprehensive analysis module, and a tracing and analysis module; the data division module is used to deeply divide 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 obtain sewage data at several monitoring time points for each monitoring layer of the sewage regulating tank in the industrial sewage plant; the identification and analysis module is used to comprehensively analyze the sewage data at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage plant, and identify abnormal pollutants at abnormal monitoring time points of the sewage regulating tank in the industrial sewage plant based on the analysis results, and mark them as pollutants to be traced in the sewage regulating tank in the industrial sewage plant; the prediction and analysis module is used to synchronously obtain monitoring data of several sewage discharge pipes connected to the sewage regulating tank and conduct comprehensive analysis at the abnormal monitoring time point of the sewage regulating tank in the industrial sewage plant, 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 conduct identification and 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 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 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 and analysis module is used to comprehensively analyze 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 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 point of the sewage regulating tank in the industrial sewage plant, and take corresponding control measures.

[0008] The present invention has the following beneficial effects:

[0009] (1) This industrial sewage plant pollutant tracing method can achieve precise tracing of sewage pollutants through the deep division of the sewage regulating tank in the industrial sewage plant and the analysis of real-time monitoring data. The real-time identification of abnormal pollutants helps to quickly locate the pollution source, thereby avoiding misjudgment or delay problems, and then being able to ensure a faster and more effective response to sewage pollution and reduce environmental risks.

[0010] (2) The method for tracing the source of pollutants in the industrial sewage treatment plant can identify the predicted pollution discharge pipelines by synchronously obtaining the data of the sewage discharge pipelines connected to the sewage regulation tank and conducting comprehensive analysis, enabling timely detection of abnormal situations and taking preventive measures, thus effectively avoiding the spread of pollutants, reducing the time cost and economic losses of environmental governance, and then improving the overall management efficiency of the sewage treatment plant.

[0011] (3) The method for tracing the source of pollutants in the industrial sewage treatment plant can provide a scientific basis for the control measures of the sewage treatment plant through accurate source location of pollutants and pollutant concentration analysis, ensuring that the measures taken are effective, thus improving the effect of pollution control, optimizing resource allocation, reducing the treatment cost while reducing pollution emissions, and achieving a win-win situation of economic and environmental benefits.

[0012] (4) The system for tracing the source of pollutants in the industrial sewage treatment plant can accurately identify the pollutants to be traced by real-time monitoring and analyzing the pollutant data of the sewage regulation tank and related discharge pipelines, enabling the sewage treatment plant to quickly respond to potential pollution problems, taking necessary emergency treatment measures before the pollution spreads, and then arranging resources and dispatching treatment equipment, reducing the harm of pollutants to the environment and the economic losses and environmental restoration costs caused by pollution incidents.

[0013] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a flowchart of a method for tracing the source of pollutants in an industrial sewage treatment plant according to the present invention.

[0015] Figure 2 It is a flowchart of the steps for obtaining several predicted sewage discharge pipelines connected to the sewage regulation tank in the industrial sewage treatment plant in the method for tracing the source of pollutants in the industrial sewage treatment plant according to the present invention.

[0016] Figure 3 It is a block diagram of a system for tracing the source of pollutants in an industrial sewage treatment plant according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0017] Embodiments of the present application provide a method and system for tracing pollutants in an industrial sewage treatment plant, which solve the problems in the prior art. The prior art lacks comprehensive analysis of multiple monitoring layers and multiple discharge pipelines, making it difficult to effectively identify complex pollution sources. In the case of a complex sewage regulating tank and pipeline system, it is easy to lead to inaccurate tracing results. Secondly, the prior art fails to make full use of the multi-level and multi-timepoint data of the sewage regulating tank, thus missing the change information of sewage at different levels and different time periods inside the regulating tank, further restricting the accurate positioning of the pollutant source and timely warning. Moreover, the prior art fails to fully consider the mutual influence between different pipelines and the sewage regulating tank and the cross-regional diffusion effect of pollutants, thus easily leading to tracing errors in the tracing process.

[0018] The general idea for solving the problems in the embodiments of the present application is as follows:

[0019] First, deeply divide the sewage regulating tank in the industrial sewage treatment plant into several monitoring layers, and continuously obtain sewage data at multiple monitoring timepoints on each monitoring layer. Next, comprehensively analyze the sewage data of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant at different timepoints, identify the sewage data at abnormal monitoring timepoints, and based on the analysis results, mark the pollutants to be traced. When an abnormal monitoring timepoint is detected, obtain the monitoring data of multiple sewage discharge pipelines connected to the sewage regulating tank in the industrial sewage treatment plant, and conduct classification analysis to obtain the pollutants to be traced in the predicted sewage discharge pipelines connected to the sewage regulating tank in the industrial sewage treatment plant, and conduct a proportion analysis with the comprehensive concentration value of the pollutants to be traced in the sewage regulating tank in the industrial sewage treatment plant to further confirm the pollution source and effectively take control measures.

[0020] Please refer to Figure 1, an embodiment of the present invention provides a technical solution: a method for tracing the source of pollutants in an industrial sewage treatment plant, 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 obtaining 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 obtaining the monitoring data of several sewage discharge pipes connected to the sewage regulating tank and performing 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 treatment plant, and performing identification analysis to obtain several pollutants connected to the sewage regulating tank in the industrial sewage treatment plant. 10,000 predicted sewage discharge pipes; and simultaneously obtain the sewage discharge data of each predicted sewage discharge pipe connected to the sewage equalization tank in the industrial sewage treatment plant at the abnormal monitoring time point, 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 equalization tank in the industrial sewage treatment plant; 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 equalization tank in the industrial sewage treatment plant, and obtain several pollution source sewage discharge pipes connected to the sewage equalization tank in the industrial sewage treatment 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 marked as the pollution source of the pollutants to be traced at the abnormal monitoring time point of the sewage equalization tank in the industrial sewage treatment plant, and take corresponding control measures.

[0021] The specific control measures are: flow control of the factory, that is, controlling the flow of the sewage discharge pipe, adjusting the working status of the flow valve or pump to reduce or prevent excessive discharge of pollutants; and diversion control of the factory, diverting heavily polluted sewage from the main discharge pipe 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 the sewage that exceeds the standard to the special pretreatment area of the sewage treatment plant; at the same time, pretreatment control of the factory is carried out, that is, pretreatment facilities are set up to treat the harmful components in the sewage first, and reduce the pollution load entering the sewage equalization tank.

[0022] The sewage data specifically includes the sewage oxidation-reduction potential value, the sewage dissolved oxygen content value, the sewage conductivity value, the sewage temperature value, the sewage pH value, the sewage pressure value, and the concentration value of each pollutant (in the sewage). The monitoring data specifically includes 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, and the total phosphorus concentration value of the pipeline sewage. The sewage discharge data specifically includes the sewage flow velocity value in the pipeline, the sewage flow rate value in the pipeline, the pipeline length value, the sewage viscosity value in the pipeline, the sewage temperature value in the pipeline, the diameter of the water flow cross-section value, and the pollution concentration value of the pollutant to be traced. The emission source location information specifically includes the longitude value and latitude value of the emission source.

[0023] Among them, the sewage oxidation-reduction potential value is a physicochemical parameter that measures the ability of the redox reaction in the solution and is obtained through an ORP sensor.

[0024] The sewage conductivity value is the conductivity of the solution in the sewage regulation tank and is obtained through a conductivity meter.

[0025] The chemical oxygen demand concentration value of the pipeline sewage is the total amount of organic substances in the sewage, which is obtained through the sampling method. The sewage is sampled, and the sampled sewage is measured using a COD online analyzer, and the obtained results are saved in the pollution database.

[0026] The biochemical oxygen demand concentration value of the pipeline sewage is the amount of oxygen consumed by microorganisms when decomposing biodegradable organic matter in water. It is obtained through the sampling method. The sewage is sampled, and the decomposition process of microorganisms is simulated by combining biosensor technology for rapid determination, and the obtained results are saved in the pollution database.

[0027] The total nitrogen concentration value of the pipeline sewage is the sum of various forms of nitrogen in the water body (such as ammonia nitrogen, nitrate nitrogen, nitrite nitrogen, organic nitrogen), which is obtained through the sampling method. That is, the sewage is sampled, and then the sampled sewage is measured using a total nitrogen online analyzer, and the obtained results are saved in the pollution database.

[0028] The ammonia nitrogen concentration value of the pipeline sewage is the nitrogen present in the sewage in the form of ammonium ions or ammonia gas, which is obtained through the sampling method. The sewage is sampled, and the sampled sewage is measured by combining an ammonia nitrogen online analyzer, and the obtained results are saved in the pollution database.

[0029] The total phosphorus concentration value of the pipeline sewage is the sum of all forms of phosphorus in the sewage (such as orthophosphate, organic phosphorus compounds), which is obtained through the sampling method. The sewage is sampled, and the sampled sewage is measured using a total phosphorus online analyzer, and the obtained results are saved in the pollution database.

[0030] The sewage flow rate value in the pipeline is the volume of water flowing through the sewage pipeline per unit time. The sewage flow rate value in the pipeline = water level height 3 / 2, and the water level height therein is obtained by an ultrasonic water level sensor.

[0031] The viscosity value of the pipeline sewage is the internal friction force of the solution in the sewage discharge pipeline, that is, the interaction force, which is obtained by the sampling method, that is, measured by a rotational viscometer, and the measurement result output by the rotational viscometer is saved in the database.

[0032] Specifically, the specific steps for identifying the pollutants to be traced in the sewage regulating tank of the industrial sewage treatment plant based on the analysis results are as follows: standardize (i.e., remove the unit) the sewage redox 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; and comprehensively analyze the sewage redox 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 after the standardization 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 treatment plant; perform mean value 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 treatment plant to obtain the average sewage temperature, average sewage pH, and average sewage pressure of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant; and comprehensively analyze the average sewage temperature, average sewage pH, and average sewage pressure of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant and the sewage temperature value, sewage pH value, and sewage pressure value at each monitoring time point to obtain the sewage stability index at each monitoring time point of each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant; and comprehensively analyze 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 treatment plant to obtain several groups of comprehensive concentration change indexes of each pollutant in the sewage regulating tank of the industrial sewage treatment plant; respectively judge and analyze each group of comprehensive concentration change indexes of each pollutant in the sewage regulating tank of the industrial sewage treatment plant with the preset concentration change threshold of the corresponding pollutant; if there are pollutants in the sewage regulating tank of the industrial sewage treatment plant whose comprehensive concentration change index is higher than the preset concentration change threshold, mark them as pollutants to be traced, and identify the abnormal monitoring time points in the corresponding group of comprehensive concentration change indexes.

[0033] Among them, the formulas 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 treatment plant are as follows: ; among them, The sewage quality index of the th monitoring layer of the sewage regulating tank in the industrial sewage treatment plant at the th monitoring time point. The redox potential value of the sewage in the th monitoring layer of the sewage regulating tank in the standardized industrial sewage treatment plant at the th monitoring time point. The redox coefficient stored in the database. The dissolved oxygen content value of the sewage in the th monitoring layer of the sewage regulating tank in the standardized industrial sewage treatment plant at the th monitoring time point. The dissolved oxygen coefficient stored in the database. The conductivity value of the sewage in the th monitoring layer of the sewage regulating tank in the standardized industrial sewage treatment plant at the th monitoring time point. The conductivity coefficient stored in the database. , The natural constant, which takes 2.71 in this embodiment. The sewage stability index of the th monitoring layer of the sewage regulating tank in the industrial sewage treatment plant at the th monitoring time point. The sewage temperature value of the th monitoring layer of the sewage regulating tank in the industrial sewage treatment plant at the th monitoring time point. The average sewage temperature of the th monitoring layer of the sewage regulating tank in the industrial sewage treatment plant. The temperature coefficient stored in the database. The sewage pH value of the th monitoring layer of the sewage regulating tank in the industrial sewage treatment plant at the th monitoring time point. The average sewage pH of the th monitoring layer of the sewage regulating tank in the industrial sewage treatment plant. The pH coefficient stored in the database. The sewage pressure value of the th monitoring layer of the sewage regulating tank in the industrial sewage treatment plant at the th monitoring time point. The average sewage pressure of the th monitoring layer of the sewage regulating tank in the industrial sewage treatment plant. The pressure coefficient of the th monitoring time point of the sewage regulating tank in the industrial sewage treatment plant. , = 1, 2, 3, …, , is the number of monitoring layers, = 1, 2, 3, …, , is the number of monitoring time points.

[0034] It should be noted that, , , The specific acquisition process of, and is as follows: Read the redox potential value, dissolved oxygen content value, and conductivity value of the sewage at each monitoring time point of each monitoring layer in the sewage regulating tank of the industrial sewage treatment plant after standardization processing, and perform mean analysis to obtain the mean redox potential, mean dissolved oxygen content, and mean conductivity of the sewage regulating tank in the industrial sewage treatment plant, and perform summation analysis to obtain the water quality sum value of the sewage regulating tank in the industrial sewage treatment plant. Then, perform ratio analysis on the mean redox potential, mean dissolved oxygen content, and mean conductivity of the sewage regulating tank in the industrial sewage treatment plant with the water quality sum value respectively, and use the ratio analysis results as the corresponding coefficients.

[0035] , , The specific acquisition process of, and is as follows: Read the mean temperature, mean pH, and mean pressure of each monitoring layer in the sewage regulating tank of the industrial sewage treatment plant, perform summation analysis to obtain the stable sum value. Then, perform ratio analysis on the mean temperature, mean pH, and mean pressure of the sewage regulating tank in the industrial sewage treatment plant with the environmental sum value respectively, and use the ratio analysis results as the corresponding coefficients.

[0036] The formulas for calculating the comprehensive concentration value of each pollutant at each monitoring time point of each monitoring layer in the sewage regulating tank of the industrial sewage treatment plant and the comprehensive concentration change index of each group of each pollutant in the sewage regulating tank of the industrial sewage treatment plant are as follows: ; where, is the comprehensive concentration value of the th pollutant at the th monitoring time point of the th monitoring layer in the sewage regulating tank of the industrial sewage treatment plant, is the concentration value of the th pollutant at the th monitoring time point of the th monitoring layer in the sewage regulating tank of the industrial sewage treatment plant, is the sewage quality index of the th monitoring time point and the th monitoring layer in the sewage regulating tank of the industrial sewage treatment plant, is the quality coefficient stored in the database, For the sewage stability index at the th monitoring layer and the th monitoring time point of the sewage regulating tank in the industrial sewage treatment plant, is the stability coefficient stored in the database, , For the th type of pollutant in the sewage regulating tank of the industrial sewage treatment plant, the group comprehensive concentration change index, For the th type of pollutant in the sewage regulating tank of the industrial sewage treatment plant, the comprehensive concentration value at the first monitoring time point in the group comprehensive concentration change index, For the th type of pollutant in the sewage regulating tank of the industrial sewage treatment plant, the comprehensive concentration value at the second monitoring time point in the group comprehensive concentration change index, where = 1, 2, 3, …, , is the number of monitoring layers, = 1, 2, 3, …, , is the number of pollutant types, = 1, 2, 3, …, , is the number of groups, is the natural constant, which takes the value of 2.71 in this embodiment, and = -1, and the two monitoring time points in each group of comprehensive concentration change indexes are consecutive.

[0037] It should be noted that , The specific acquisition process is as follows: 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 treatment plant are obtained, and mean analysis is performed to obtain the mean sewage quality index and mean sewage stability index of the sewage regulating tank in the industrial sewage treatment plant. Then, summation analysis is performed to obtain the concentration sum value of the sewage regulating tank in the industrial sewage treatment plant. The mean sewage quality index and mean sewage stability index of the sewage regulating tank in the industrial sewage treatment plant are respectively subjected to ratio analysis with the concentration sum value, and the ratio analysis results are used as the corresponding coefficients.

[0038] The specific implementation example of calculating the comprehensive concentration change index of each pollutant at each monitoring time point of the sewage regulating tank in the industrial sewage treatment plant is as follows. The existing data are as follows,

[0039] There are currently 3 monitoring layers in the sewage regulation tank of the industrial sewage treatment plant, and 2 monitoring time points are set for each monitoring layer, and each monitoring layer contains 3 kinds of pollutants.

[0040] The concentration values of the 3 kinds of pollutants at 1 monitoring time point in the 1st monitoring layer of the sewage regulation tank in the industrial sewage treatment plant are (mg / L) in sequence: 480.25, 155.30, 178.45.

[0041] The concentration values of the 3 kinds of pollutants at 2 monitoring time points in the 1st monitoring layer of the sewage regulation tank in the industrial sewage treatment plant are (mg / L) in sequence: 485.60, 158.10, 182.00.

[0042] The concentration values of the 3 kinds of pollutants at 1 monitoring time point in the 2nd monitoring layer of the sewage regulation tank in the industrial sewage treatment plant are (mg / L) in sequence: 495.50, 162.10, 188.20.

[0043] The concentration values of the 3 kinds of pollutants at 2 monitoring time points in the 2nd monitoring layer of the sewage regulation tank in the industrial sewage treatment plant are (mg / L) in sequence: 488.30, 158.40, 183.75.

[0044] The concentration values of the 3 kinds of pollutants at 1 monitoring time point in the 3rd monitoring layer of the sewage regulation tank in the industrial sewage treatment plant are (mg / L) in sequence: 505.00, 162.50, 192.00.

[0045] The concentration values of the 3 kinds of pollutants at 2 monitoring time points in the 3rd monitoring layer of the sewage regulation tank in the industrial sewage treatment plant are (mg / L) in sequence: 498.80, 159.10, 188.70.

[0046] The sewage quality indexes at 2 monitoring time points in the 1st monitoring layer of the sewage regulation tank in the industrial sewage treatment plant are in sequence: 0.48, 0.45.

[0047] The sewage stability indexes at 2 monitoring time points in the 1st monitoring layer of the sewage regulation tank in the industrial sewage treatment plant are in sequence: 0.45, 0.42.

[0048] The sewage quality indexes at 2 monitoring time points in the 2nd monitoring layer of the sewage regulation tank in the industrial sewage treatment plant are in sequence: 0.39, 0.43.

[0049] The sewage stability indexes at 2 monitoring time points in the 2nd monitoring layer of the sewage regulation tank in the industrial sewage treatment plant are in sequence: 0.35, 0.39.

[0050] The sewage quality indexes at 2 monitoring time points in the 3rd monitoring layer of the sewage regulation tank in the industrial sewage treatment plant are in sequence: 0.40, 0.45.

[0051] The sewage stability indices at two monitoring time points of the third monitoring layer of the sewage regulating tank in the industrial sewage treatment plant are successively: 0.42, 0.43.

[0052] The quality coefficient stored in the database is: 0.59.

[0053] The stability coefficient stored in the database is: 0.41.

[0054] 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 treatment plant and the comprehensive concentration change index of each group of each pollutant in the sewage regulating tank of the industrial sewage treatment plant for calculation, and obtain:

[0055] The comprehensive concentration value of the first pollutant at one monitoring time point of the first monitoring layer of the sewage regulating tank in the industrial sewage treatment plant = 480.25 * (1 - (arctan(0.48 * 0.59 + 0.45 * 0.41)) / (2.71 - 1)) ≈ 357.78.

[0056] The comprehensive concentration value of the second pollutant at one monitoring time point of the first monitoring layer of the sewage regulating tank in the industrial sewage treatment plant = 155.30 * (1 - (arctan(0.48 * 0.59 + 0.45 * 0.41)) / (2.71 - 1)) ≈ 115.70.

[0057] The comprehensive concentration value of the third pollutant at one monitoring time point of the first monitoring layer of the sewage regulating tank in the industrial sewage treatment plant = 178.45 * (1 - (arctan(0.48 * 0.59 + 0.45 * 0.41)) / (2.71 - 1)) ≈ 132.95.

[0058] The comprehensive concentration value of the first pollutant at two monitoring time points of the first monitoring layer of the sewage regulating tank in the industrial sewage treatment plant = 48 / (1 - (arctan(0.45 * 0.59 + 0.42 * 0.41)) / (2.71 - 1)) ≈ 369.06.

[0059] The comprehensive concentration value of the second pollutant at two monitoring time points of the first monitoring layer of the sewage regulating tank in the industrial sewage treatment plant = 158.10 * (1 - (arctan(0.45 * 0.59 + 0.42 * 0.41)) / (2.71 - 1)) ≈ 120.16.

[0060] The comprehensive concentration value of the 3rd pollutant at 2 monitoring time points in the 1st monitoring layer of the sewage equalization tank in the industrial sewage treatment plant = 182.00 * (1 - (arctan(0.45 * 0.59 + 0.42 * 0.41)) / (2.71 - 1)) ≈ 138.32.

[0061] The comprehensive concentration value of the 1st pollutant at 1 monitoring time point in the 2nd 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.

[0062] The comprehensive concentration value of the 2nd pollutant at 1 monitoring time point in the 2nd 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.

[0063] The comprehensive concentration value of the 3rd pollutant at 1 monitoring time point in the 2nd 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.

[0064] The comprehensive concentration value of the 1st pollutant at 2 monitoring time points in the 2nd monitoring layer of the sewage equalization tank in the industrial sewage treatment plant = 488.30 * (1 - (arctan(0.35 * 0.59 + 0.39 * 0.41)) / (2.71 - 1)) ≈ 385.41.

[0065] The comprehensive concentration value of the 2nd pollutant at 2 monitoring time points in the 2nd monitoring layer of the sewage equalization tank in the industrial sewage treatment plant = 158.40 * (1 - (arctan(0.35 * 0.59 + 0.39 * 0.41)) / (2.71 - 1)) ≈ 126.72.

[0066] The comprehensive concentration value of the 3rd pollutant at 2 monitoring time points in the 2nd monitoring layer of the sewage equalization tank in the industrial sewage treatment plant = 183.75 * (1 - (arctan(0.35 * 0.59 + 0.39 * 0.41)) / (2.71 - 1)) ≈ 147.00.

[0067] The comprehensive concentration value of the 1st pollutant at 1 monitoring time point in the 3rd 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.

[0068] The comprehensive concentration value of the second pollutant at one monitoring time point in the third monitoring layer of the sewage regulating tank in the industrial sewage treatment plant = 162.40 * (1 - (arctan(0.40 * 0.59 + 0.45 * 0.41)) / (2.71 - 1)) ≈ 125.05.

[0069] The comprehensive concentration value of the third pollutant at one monitoring time point in the third monitoring layer of the sewage regulating tank in the industrial sewage treatment plant = 192.00 * (1 - (arctan(0.40 * 0.59 + 0.45 * 0.41)) / (2.71 - 1)) ≈ 147.84.

[0070] The comprehensive concentration value of the first pollutant at two monitoring time points in the third monitoring layer of the sewage regulating tank in the industrial sewage treatment plant = 498.80 * (1 - (arctan(0.42 * 0.59 + 0.43 * 0.41)) / (2.71 - 1)) ≈ 379.09.

[0071] The comprehensive concentration value of the second pollutant at two monitoring time points in the third monitoring layer of the sewage regulating tank in the industrial sewage treatment plant = 159.10 * (1 - (arctan(0.42 * 0.59 + 0.43 * 0.41)) / (2.71 - 1)) ≈ 120.92.

[0072] The comprehensive concentration value of the third pollutant at two monitoring time points in the third monitoring layer of the sewage regulating tank in the industrial sewage treatment plant = 188.70 * (1 - (arctan(0.42 * 0.59 + 0.43 * 0.41)) / (2.71 - 1)) ≈ 143.41.

[0073] Then, the first group of comprehensive concentration change indices of the first pollutant in the sewage regulating tank of the industrial sewage treatment 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.

[0074] The first group of comprehensive concentration change indices of the second pollutant in the sewage regulating tank of the industrial sewage treatment 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.

[0075] The first group of comprehensive concentration change indices of the third pollutant in the sewage regulating tank of the industrial sewage treatment 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。

[0076] In this implementation plan, by analyzing the comprehensive concentration change index of pollutants, abnormal fluctuations or sudden increases in pollutant concentrations can be detected in a timely manner, providing a basis for subsequent 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 status and its stability of the sewage can be comprehensively evaluated. At the same time, the dynamic changes in sewage quality and stability help to judge whether the sewage treatment process is effective, and then adjust the process conditions in a timely manner to avoid exceeding the pollutant discharge standards. In addition, through standardized processing and comprehensive analysis, automated monitoring and real-time feedback of data at each monitoring point in the sewage regulating tank are achieved. Once the pollutant concentration at a certain monitoring point exceeds the preset threshold, the traceability mechanism can be automatically triggered, and corresponding measures can be taken in a timely manner to reduce the potential harm to the environment and human health. Through the precise traceability of pollutant sources, managers can conduct targeted control of pollution sources, thereby avoiding waste of resources, improving the operating efficiency of sewage treatment facilities, reducing excessive intervention in the entire system, and controlling operation and maintenance costs. Finally, based on the dynamic analysis of monitoring data, the sewage treatment plant can continuously optimize treatment strategies. By understanding the change rules of different monitoring time points and pollutants, possible sewage quality problems can be predicted in advance, and process adjustments and resource allocation can be carried out accordingly to ensure the efficiency and stability of the sewage treatment process.

[0077] Specifically, such as Figure 2As shown, the specific steps to obtain several predicted sewage discharge pipes connected to the sewage regulating tank in the industrial sewage treatment plant are as follows: Input the monitoring data of the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant into a pre-established pollution classification model for classification analysis to 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 treatment plant; and respectively judge and analyze the probability values of each predicted pollutant at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant with a preset probability threshold to obtain several pollutants at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant; Compare and analyze each pollutant at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant with the pollutants to be traced in the sewage regulating tank in the industrial sewage treatment plant to obtain several predicted sewage discharge pipes connected to the sewage regulating tank in the industrial sewage treatment plant.

[0078] Among them, the specific process of judgment and analysis is as follows: 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 there is no such pollutant 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 there is such a pollutant at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant, and analyze it by combining the statistical method to obtain several pollutants at each monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant.

[0079] In this implementation plan, by inputting the monitoring data of the abnormal monitoring time points of each monitoring layer into the pre-established pollution classification model, the pollutants in each sewage discharge pipeline can be accurately predicted based on historical data and machine learning models, so as to identify potential pollution sources and facilitate the adoption of necessary countermeasures. Secondly, the pollutants at the abnormal monitoring time points of each sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant are monitored, so as to ensure that the pollution situation of each sewage discharge pipeline at the abnormal monitoring time point is timely feedback, which helps to quickly discover abnormal situations. At the same time, through the judgment and analysis of the pollutant probability values and in combination with the preset probability threshold, it is possible to accurately judge the presence of which pollutants at the abnormal monitoring time point, avoid blindly processing invalid data, and then improve the decision-making efficiency. By comparing and analyzing with the pollutants to be traced in the sewage regulation tank, the pollution source is initially located, and a detailed pollutant flow trajectory is provided for the connection mode of each sewage discharge pipeline. Finally, statistical analysis methods are used to track and analyze the changes of pollutants, so that the system can make adaptive adjustments according to the change trends of different pollutants and optimize the sewage treatment and discharge control measures.

[0080] Specifically, the pollution classification model is specifically a variational autoencoder. The specific steps to obtain 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 treatment plant are as follows: Preprocess the monitoring data of the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant to obtain the monitoring feature dimensions (i.e., the chemical oxygen demand concentration value of the pipe sewage, the biochemical oxygen demand concentration value of the pipe sewage, the total nitrogen concentration value of the pipe sewage, the ammonia nitrogen concentration value of the pipe sewage, and the total phosphorus concentration value of the pipe sewage) at each monitoring time point of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant; and perform a non-linear transformation on the monitoring feature dimensions of the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant to obtain the mean and standard deviation of several latent variables at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant; and perform sampling analysis on the mean and standard deviation of several latent variables at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant to obtain the latent variables at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant (i.e., the sampling layer samples a latent variable from the latent space according to the mean and standard deviation output by the encoder, and the sampling process is completed through the reparameterization technique, which enables the latent variable to be randomly sampled in the latent space, thus reflecting the uncertainty and diversity in the data); and combine the decoder in the variational autoencoder to perform decoding analysis on the latent variables at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant to obtain several pollutant reconstruction features at the abnormal monitoring time points 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 combine the classifier in the variational autoencoder to perform classification analysis on several pollutant reconstruction features at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant to obtain 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, and combine the activation function (Softmax) in the variational autoencoder to perform analysis to obtain the probability value of each predicted pollutant at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant.

[0081] 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.

[0082] The encoder is used to map the input high-dimensional data into distribution parameters (mean and variance) in the latent space.

[0083] The encoding input layer is used for the input feature dimension, that is, it accepts the original data as input. For example, the monitoring data of sewage monitoring (such as the chemical oxygen demand concentration value of pipeline sewage, the biochemical oxygen demand concentration value of pipeline sewage, the suspended solid concentration value, the total nitrogen concentration value of pipeline sewage, the ammonia nitrogen concentration value of pipeline sewage, the total phosphorus concentration value of pipeline sewage). The feature dimension is the number of features of the original data (i.e., the number of parameters of the construction data).

[0084] The encoding hidden layer is used to extract the implicit patterns and features of the data, gradually reducing the data dimension. It consists of one or more layers of fully connected neurons, and the activation function is usually ReLU (or Leaky ReLU).

[0085] 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) and the log variance vector (representing the distribution range of the latent variable). And it is composed of two groups of fully connected layers, and the output dimension of each group is equal to the dimension of the latent variable.

[0086] The sampling layer is used to sample from the latent distribution to generate latent variables, that is, to encode the implicit features of the high-dimensional input data into low-dimensional latent variables and provide input for the decoder.

[0087] The decoder is used to gradually restore the features of the input data through the representation of the latent variables.

[0088] The decoding input layer is used to receive the latent variables and prepare to start mapping the low-dimensional features back to the high-dimensional space.

[0089] The decoding hidden layer is used to gradually increase the dimension, extract the patterns of the latent variables, and convert them into high-dimensional features. It contains 1 - 3 layers of fully connected networks, and the activation function is ReLU or Sigmoid.

[0090] 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.

[0091] The classifier is used to classify based on the output of the decoder and identify the types of pollutants in the data.

[0092] The classifier output layer is used to receive the output of the decoder and use it as the input for pollutant classification.

[0093] The classifier hidden layer is used to extract the non-linear patterns of the input data for the classification task. It contains 1 - 2 layers of fully connected networks, and the activation function is ReLU or Softmax.

[0094] 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 probability values.

[0095] And 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 regulation tank in the industrial sewage treatment plant is as follows:

[0096] And the pre - establishment process of the variational auto - encoder is as follows:

[0097] Obtain the monitoring data of each monitoring time point of each sewage discharge pipe connected to the sewage regulation tank in the industrial sewage treatment plant, and establish a monitoring data set. Divide the traffic data set into a monitoring training data set and a monitoring verification data set;

[0098] And perform initialization processing on the variational auto - encoder, specifically the generation of the encoder, decoder, and classifier;

[0099] Train the pre - established pollution classification model based on the monitoring training data set, and calculate the reconstruction loss function and the KL - divergence loss function;

[0100] And evaluate the performance of the pollution classification model based on the monitoring verification data set, and adjust the model parameters according to the verification results until the model prediction results meet the expected standards.

[0101] In this implementation plan, the variational auto - encoder (VAE) can effectively process high - dimensional monitoring data in industrial sewage treatment plants. The encoder maps high - dimensional data to a low - dimensional latent space, thereby extracting the implicit features in the data, which helps to reduce the computational amount and improve the data processing efficiency. Secondly, by combining the monitoring data with the variational auto - encoder, it can accurately classify and predict the pollutant types of each sewage discharge pipe at different monitoring time points, thus providing the types 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 re - parameterization technique in VAE allows the model to perform random sampling from the latent space, which can reflect the uncertainty and diversity in the data, enabling the model to better handle the noise and uncertain factors in the data and provide more robust prediction results. In addition, by deeply analyzing 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, which helps managers understand the changes in pollutants in a timely manner and implement corresponding treatment measures, thereby improving the efficiency and effect of sewage treatment. Finally, by using the training and verification data sets, the variational auto - encoder can gradually optimize the model parameters to ensure its good performance on different data sets, enabling the model to be 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.

[0102] Specifically, the specific steps to obtain the comprehensive pollution concentration value of the pollutant 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 treatment 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 treatment plant, and conduct comprehensive analysis in combination with 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 treatment plant; conduct comprehensive analysis on the pipe sewage flow velocity value, pipe sewage flow value, pipe length value, and water body diffusion coefficient at the abnormal monitoring time point of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant to obtain the pollution migration coefficient at the abnormal monitoring time point of the pollutant to be traced for each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant; and conduct comprehensive analysis on the pollution concentration value of the pollutant 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 treatment plant and the pollution migration coefficient respectively to obtain the comprehensive pollution concentration value of the pollutant 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 treatment plant.

[0103] Among them, the water body reference diffusion coefficient is the diffusion ability of the water body under ideal conditions (i.e., the water body in the pipe is not polluted), and is obtained through the research literature on kinetics stored in the water body database.

[0104] The pipe sewage reference viscosity value is the fluidity of the water body under ideal conditions (i.e., the water body in the pipe is not polluted), and is obtained through the relevant engineering manuals stored in the database.

[0105] The pipe sewage reference temperature value is the water body temperature value under ideal conditions (i.e., the water body in the pipe is not polluted), and is obtained through the relevant engineering manuals stored in the database.

[0106] The formulas for calculating the pollution diffusion coefficient, pollution migration coefficient, and comprehensive pollution concentration value of the pollutant 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 treatment plant are as follows: ; where is the pollution diffusion coefficient at the abnormal monitoring time point of the th predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant, is the water body reference diffusion coefficient of the th predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant, is the The pipeline sewage viscosity value for predicting abnormal monitoring time points in the sewage discharge pipeline, is the th pipeline sewage reference viscosity value of the predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage treatment plant, is the viscosity factor stored in the database, which takes 0.5 in this embodiment, is the pipeline sewage temperature value at the abnormal monitoring time point of the th predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage treatment plant, is the th pipeline sewage reference temperature value of the predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage treatment plant, is the water body temperature factor stored in the database, which takes 1.5 in this embodiment, is the th pollution migration coefficient at the abnormal monitoring time point of the predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage treatment plant, is the change factor stored in the database, which takes 0.5 in this embodiment, is the th pipeline sewage flow velocity value at the abnormal monitoring time point of the predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage treatment plant, is the th pipeline length value at the abnormal monitoring time point of the predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage treatment plant, is the water flow coefficient stored in the database, which takes 0.75 in this embodiment, is the natural constant, which takes 2.71 in this embodiment, is the th comprehensive pollution concentration value of the pollutant to be traced at the abnormal monitoring time point of the predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage treatment plant, is the th pollution concentration value of the pollutant to be traced at the abnormal monitoring time point of the predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage treatment plant, = 1, 2, 3,..., , is the number of predicted sewage discharge pipelines.

[0107] In this implementation scheme, through the dynamic calculation of predicting the diffusion and migration of pollutants in the sewage discharge pipeline, the comprehensive pollution concentration value of pollutants in the pipeline can be accurately obtained, which reflects the actual concentration level of pollutants in the sewage discharge pipeline. Furthermore, it helps to monitor the change trend of pollutants. Multiple factors such as the sewage flow velocity, flow rate, sewage temperature, and viscosity in the pipeline are considered in the calculation, so as to more realistically reflect the behavior of pollutants in the actual sewage. Secondly, through the analysis of the comprehensive pollutant concentration of the pollutants to be traced in the sewage discharge pipeline, it can help trace the pollution source and identify the specific sources and transmission paths of the pollutants. Finally, the accurate calculation of the pollutant concentration in the pipeline helps to determine the pollution load of each pipeline section, so as to optimize the working parameters of the sewage treatment facilities and adjust various parameters in the sewage treatment process according to the fluctuations of the pollutant concentration values, thus ensuring the maximization of the treatment effect.

[0108] Specifically, the specific steps to obtain several pollution source sewage discharge pipelines connected to the sewage regulating tank in the industrial sewage treatment 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 treatment plant, and respectively conduct a ratio analysis with 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 treatment plant to obtain the concentration ratio 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 treatment plant; And respectively judge and analyze the concentration ratio 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 treatment plant with the preset concentration ratio coefficient threshold. If the concentration ratio 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 treatment plant is higher than the preset concentration ratio coefficient threshold, then mark the (this) predicted sewage discharge pipeline connected to the sewage regulating tank in the industrial sewage treatment plant as a pollution source sewage discharge pipeline. If the concentration ratio 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 treatment plant is lower than or equal to the preset concentration ratio coefficient threshold, no marking is carried out; And statistically analyze several pollution source sewage discharge pipelines connected to the sewage regulating tank in the industrial sewage treatment plant.

[0109] In this implementation scheme, by calculating and analyzing the concentration ratio coefficient of the pollutants to be traced in the sewage regulating tank, the specific pollution sources can be accurately identified, so as to mark the sewage discharge pipelines of the pollution sources, and then identify the specific locations of the pollution sources, which is convenient for subsequent treatment and monitoring. If the concentration ratio coefficients of some pipelines are higher than the preset thresholds, it means that the sewage discharges from these pipelines contribute more to the overall pollution load, so they are marked as pollution source pipelines, which helps to solve the pollution problem targeted. And by analyzing the concentration ratio coefficients of each predicted sewage discharge pipeline in real time, the changes of the pollution sources can be dynamically monitored. For example, if the pollution ratio of a certain pipeline suddenly increases, it can be quickly identified and corresponding countermeasures can be taken, which helps the management personnel to timely discover the potential pollution sources in the system and take effective control measures to avoid the further spread of pollution.

[0110] Please refer to Figure 3, an embodiment of the present invention provides a technical solution: an industrial sewage plant pollutant tracing system, including: a data division module, an identification and analysis module, a prediction and analysis module, a comprehensive analysis module, and a tracing analysis module; the data division module is used to deeply divide 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 obtain sewage data at several monitoring time points for each monitoring layer of the sewage regulating tank in the industrial sewage plant; the identification and analysis module is used to comprehensively analyze the sewage data at each monitoring time point of each monitoring layer 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, when an abnormal monitoring time point of the sewage regulating tank in the industrial sewage plant occurs, synchronously obtain the monitoring data of several sewage discharge pipes connected to the sewage regulating tank and conduct 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 conduct identification and 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 pipe connected to the sewage regulating tank in the industrial sewage plant and conduct 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 comprehensively analyze 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 several pollution source sewage discharge pipes connected to the sewage regulating tank in the industrial sewage plant, 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 certain factory, then mark the corresponding factory as the emission source), and respectively mark it as the pollution source of the pollutants to be traced at the abnormal monitoring time point of the sewage regulating tank in the industrial sewage plant, and at the same time take corresponding control measures.

[0111] In summary, the present application has at least the following effects:

[0112] Through the in-depth division of the sewage regulating tank in the industrial sewage plant and the analysis of real-time monitoring data, the accurate tracing of sewage pollutants can be realized, and the real-time identification of abnormal pollutants helps to quickly locate the pollution source, thus avoiding misjudgment or delay problems, and then being able to ensure a faster and more effective response to sewage pollution and reduce environmental risks.

[0113] By synchronously obtaining the data of the sewage discharge pipeline connected to the sewage regulating tank and conducting comprehensive analysis to identify the predicted polluted discharge pipeline, abnormal situations can be detected in a timely manner and preventive measures can be taken, thus effectively avoiding the spread of pollutants, reducing the time cost and economic losses of environmental governance, and then improving the management efficiency of the overall sewage treatment plant.

[0114] By real-time monitoring and analyzing the pollutant data of the sewage regulating tank and related discharge pipelines to accurately identify the pollutants to be traced, the sewage treatment plant can quickly respond to potential pollution problems, and then take necessary emergency treatment measures before the pollution spreads. Subsequently, resources can be arranged and treatment equipment can be dispatched to reduce the harm of pollutants to the environment and at the same time reduce the economic losses and environmental restoration costs caused by pollution incidents.

[0115] Through accurate pollution source location and pollutant concentration analysis, scientific basis can be provided for the control measures of the sewage treatment plant to ensure that the measures taken are effective, thereby improving the pollution treatment effect, optimizing the resource allocation, reducing the pollution emissions while reducing the treatment cost, and then achieving a win-win situation of economic and environmental benefits.

[0116] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they know the basic creative concept. Therefore, the appended claims are intended to be interpreted to include the preferred embodiments and all changes and modifications falling within the scope of the present invention.

[0117] 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 equivalent technologies, the present invention also intends to include these modifications and variations.

Claims

1. A method for tracing the sources of pollutants in an industrial sewage treatment plant, characterized in that, Including the following steps: Deeply divide 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; Comprehensively analyze the sewage data at each monitoring time point for 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; At the abnormal monitoring time point of the sewage regulating tank in the industrial sewage treatment plant, synchronously obtain the monitoring data of several sewage discharge pipes connected to the sewage regulating tank and conduct 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 treatment plant, and conduct identification analysis to obtain several predicted sewage discharge pipes connected to the sewage regulating tank in the industrial sewage treatment plant; And 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 treatment plant, and conduct 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 treatment plant; Comprehensively analyze 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 treatment plant to obtain several pollution source sewage discharge pipes connected to the sewage regulating tank in the industrial sewage treatment plant, obtain the emission source location information of each pollution source sewage discharge pipe, and respectively 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 treatment plant, and at the same time take corresponding control measures.

2. The method for tracing the source of pollutants in an industrial sewage treatment plant according to claim 1, characterized in that, The sewage data is specifically the sewage oxidation-reduction potential value, sewage dissolved oxygen content value, sewage conductivity value, sewage temperature value, sewage pH value, sewage pressure value, and concentration value of each pollutant. The monitoring data is specifically the chemical oxygen demand concentration value of pipeline sewage, biochemical oxygen demand concentration value of pipeline sewage, total nitrogen concentration value of pipeline sewage, ammonia nitrogen concentration value of pipeline sewage, total phosphorus concentration value of pipeline sewage. The sewage discharge data is specifically the pipeline sewage flow velocity value, pipeline sewage flow rate value, pipeline length value, pipeline sewage viscosity value, pipeline sewage temperature value, water flow cross-section diameter value, and pollution concentration value of the pollutant to be traced. The emission source location information is specifically the longitude value and latitude value of the emission source.

3. The method for tracing the source of pollutants in an industrial sewage treatment plant according to claim 2, wherein, And the specific steps to identify the pollutants to be traced 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 for each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant; And comprehensively analyze the sewage oxidation-reduction potential value, sewage dissolved oxygen content value, and sewage conductivity value at each monitoring time point for each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant after the standardization treatment to obtain the sewage quality index at each monitoring time point for each monitoring layer of the sewage regulating tank in the industrial sewage treatment plant; Perform mean analysis on the sewage temperature values, sewage pH values, and sewage pressure values at each monitoring time point of each monitoring layer in the sewage regulation tank of the industrial sewage treatment plant to obtain the average sewage temperature, average sewage pH, and average sewage pressure of each monitoring layer in the sewage regulation tank of the industrial sewage treatment plant; And perform comprehensive analysis on the average sewage temperature, average sewage pH, and average sewage pressure of each monitoring layer in the sewage regulation tank of the industrial sewage treatment plant, as well as the sewage temperature values, sewage pH values, and sewage pressure values at each monitoring time point, to obtain the sewage stability index at each monitoring time point of each monitoring layer in the sewage regulation tank of the industrial sewage treatment plant; And perform comprehensive analysis on the sewage quality index, sewage stability index, and concentration values of each pollutant at each monitoring time point of each monitoring layer in the sewage regulation tank of the industrial sewage treatment plant to obtain the comprehensive concentration value of each pollutant at each monitoring time point of each monitoring layer in the sewage regulation tank of the industrial sewage treatment plant; And analyze the comprehensive concentration values of each pollutant at each monitoring time point of each monitoring layer in the sewage regulation tank of the industrial sewage treatment plant to obtain several groups of comprehensive concentration change indexes of each pollutant in the sewage regulation tank of the industrial sewage treatment plant; Respectively perform judgment analysis on each group of comprehensive concentration change indexes of each pollutant in the sewage regulation tank of the industrial sewage treatment plant and the preset concentration change threshold of the corresponding pollutant; If there are pollutants in the sewage regulation tank of the industrial sewage treatment plant with comprehensive concentration change indexes higher than the preset concentration change threshold, mark them as pollutants to be traced, and identify the abnormal monitoring time points in the corresponding group of comprehensive concentration change indexes.

4. The method for tracing the sources of pollutants in an industrial sewage treatment plant according to claim 3, wherein The formulas for calculating the comprehensive concentration values of each pollutant at each monitoring time point of each monitoring layer in the sewage regulation tank of the industrial sewage treatment plant and each group of comprehensive concentration change indexes of each pollutant in the sewage regulation tank of the industrial sewage treatment plant are as follows: ； Among them, is the comprehensive concentration value of the th monitoring layer of the sewage regulating tank in the industrial sewage treatment plant at the th monitoring time point for the th type of pollutant, is the concentration value of the th monitoring layer of the sewage regulating tank in the industrial sewage treatment plant at the th monitoring time point for the th type of pollutant, is the sewage quality index of the th monitoring layer of the sewage regulating tank in the industrial sewage treatment plant at the th monitoring time point, is the quality coefficient stored in the database, is the sewage stability index of the th monitoring layer of the sewage regulating tank in the industrial sewage treatment plant at the th monitoring time point, is the stability coefficient stored in the database, , is the th group of comprehensive concentration change indexes for the th type of pollutant, is the comprehensive concentration value at the second monitoring time point in the th group of comprehensive concentration change indexes for the th type of pollutant, is the comprehensive concentration value at the first monitoring time point in the th group of comprehensive concentration change indexes for the th type of pollutant, = 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 the natural constant.

5. The method for tracing the source of pollutants in an industrial sewage treatment plant according to claim 2, wherein The specific steps to obtain several predicted sewage discharge pipes connected to the sewage regulation tank in the industrial sewage treatment plant are as follows: Input the monitoring data of the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulation tank in the industrial sewage treatment plant into a pre-established pollution classification model for classification analysis to obtain the probability values of several predicted pollutants at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulation tank in the industrial sewage treatment plant; And respectively perform judgment analysis on the probability values of each predicted pollutant at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulation tank in the industrial sewage treatment plant and the preset probability threshold to obtain several pollutants at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulation tank in the industrial sewage treatment plant; Compare and analyze each pollutant at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulation tank in the industrial sewage treatment plant with the pollutants to be traced in the sewage regulation tank of the industrial sewage treatment plant to obtain several predicted sewage discharge pipes connected to the sewage regulation tank in the industrial sewage treatment plant.

6. The method for tracing the source of pollutants in an industrial sewage treatment plant according to claim 5, wherein, The pollution classification model is specifically a variational autoencoder. The specific steps for obtaining 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 treatment plant are as follows: Preprocess the monitoring data at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant to obtain the monitoring feature dimensions at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant; And perform a non-linear transformation on the monitoring feature dimensions at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant to obtain 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 treatment plant; And perform sampling analysis on 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 treatment plant 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 treatment plant; And combine the decoder in the variational autoencoder to perform decoding analysis on the variables at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant to obtain several pollutant reconstruction features at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant; And combine the classifier in the variational autoencoder to perform classification analysis on several pollutant reconstruction features at the abnormal monitoring time points of each sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant to obtain 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, and perform analysis in combination with the activation function in the variational autoencoder to obtain the probability value of each predicted pollutant at the abnormal monitoring time points 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 an industrial sewage treatment plant according to claim 2, wherein, The specific steps for obtaining the comprehensive pollution concentration value 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 treatment 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 treatment plant, and perform comprehensive analysis in combination with 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 treatment plant; Perform comprehensive analysis on the pipeline sewage flow velocity value, pipeline sewage flow value, pipeline length value, and 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 treatment plant to obtain the pollution migration coefficient at the abnormal monitoring time point of the pollutants to be traced of each predicted sewage discharge pipe connected to the sewage regulating tank in the industrial sewage treatment plant; Comprehensively analyze the pollution concentration value of the pollutant to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant with the pollution migration coefficient, and obtain the comprehensive pollution concentration value of the pollutant to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant.

8. The method for tracing the source of pollutants in an industrial sewage treatment plant according to claim 7, wherein The formulas for calculating the pollution diffusion coefficient, pollution migration coefficient and comprehensive pollution concentration value of the pollutant to be traced at the abnormal monitoring time point of each predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant are as follows: ； Among them, is the pollution diffusion coefficient of the th abnormal monitoring time point of the sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant, is the water body reference diffusion coefficient of the th predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant, is the pipeline sewage viscosity value at the abnormal monitoring time point of the th predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant, is the pipeline sewage reference viscosity value of the th predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant, is the viscosity factor stored in the database, is the pipeline sewage temperature value at the abnormal monitoring time point of the th predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant, is the pipeline sewage reference temperature value of the th predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant, is the water body temperature factor stored in the database, is the pollution migration coefficient at the abnormal monitoring time point of the th predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant, is the change factor stored in the database, is the pipeline sewage flow velocity value at the abnormal monitoring time point of the th predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant, is the pipeline length value at the abnormal monitoring time point of the th predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant, is the water flow coefficient stored in the database, is the natural constant, is the comprehensive pollution concentration value of the pollutant to be traced at the abnormal monitoring time point of the th predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant, is the pollution concentration value of the pollutant to be traced at the abnormal monitoring time point of the th predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant, = 1, 2, 3, …, , and is the number of predicted sewage discharge pipelines.

9. The method for tracing the source of pollutants in an industrial sewage treatment plant according to claim 1, characterized in that, The specific steps to obtain several pollution source sewage discharge pipelines connected to the sewage regulation tank in the industrial sewage treatment plant are as follows: Read the comprehensive concentration value of the pollutant to be traced at the abnormal monitoring time point of the sewage regulation tank in the industrial sewage treatment plant, and perform a proportion analysis with the comprehensive pollution concentration value of the pollutant to be traced at the abnormal monitoring time point of the pollutant to be traced of each predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant respectively, to obtain the concentration proportion coefficient of the pollutant to be traced at the abnormal monitoring time point of the pollutant to be traced of each predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant; And respectively perform a judgment analysis on the concentration proportion coefficient of the pollutant to be traced at the abnormal monitoring time point of the pollutant to be traced of each predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant with the preset concentration proportion coefficient threshold. If the concentration proportion coefficient of the pollutant to be traced at the abnormal monitoring time point of the pollutant to be traced of each predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant is higher than the preset concentration proportion coefficient threshold, then mark the predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant as a pollution source sewage discharge pipeline. If the concentration proportion coefficient of the pollutant to be traced at the abnormal monitoring time point of the pollutant to be traced of each predicted sewage discharge pipeline connected to the sewage regulation tank in the industrial sewage treatment plant is lower than or equal to the preset concentration proportion coefficient threshold, no marking is performed. And statistically analyze several pollution source sewage discharge pipelines connected to the sewage regulation tank in the industrial sewage treatment plant.

10. An industrial sewage plant pollutant traceability system, which applies the industrial sewage plant pollutant traceability method described in any one of claims 1-9, is characterized in that, Including: Data division module, identification and analysis module, prediction and analysis module, comprehensive analysis module, traceability analysis module; The data division module is used to deeply divide the sewage regulation tank in the industrial sewage treatment plant to obtain several monitoring layers of the sewage regulation tank in the industrial sewage treatment plant, and continuously obtain sewage data at several monitoring time points for each monitoring layer of the sewage regulation tank in the industrial sewage treatment plant respectively. The identification and analysis module is used to comprehensively analyze the sewage data at each monitoring time point of each monitoring layer of the sewage regulation tank in the industrial sewage treatment plant, and identify the pollutant to be traced in the sewage regulation tank in the industrial sewage treatment plant based on the analysis result. The prediction analysis module is used to synchronously obtain the monitoring data of several sewage discharge pipes connected to the sewage regulation tank at the abnormal monitoring time point of the sewage regulation tank in the industrial sewage treatment plant, and conduct comprehensive analysis to obtain several pollutants at the abnormal monitoring time point of each sewage discharge pipe connected to the sewage regulation tank in the industrial sewage treatment plant, and conduct identification analysis to obtain several predicted sewage discharge pipes connected to the sewage regulation tank in the industrial sewage treatment 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 regulation tank in the industrial sewage treatment plant, and conduct 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 regulation tank in the industrial sewage treatment plant; The traceability analysis module is used to conduct comprehensive analysis on 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 regulation tank in the industrial sewage treatment plant, to obtain several pollution source sewage discharge pipes connected to the sewage regulation tank in the industrial sewage treatment plant, and obtain the emission source location information of each pollution source sewage discharge pipe, and respectively mark them as the pollution sources of the pollutants to be traced at the abnormal monitoring time point of the sewage regulation tank in the industrial sewage treatment plant, and at the same time take corresponding control measures.

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