Industrial wastewater monitoring management system based on Internet of Things

Abstract

The invention provides an industrial wastewater monitoring management system based on Internet of Things, and relates to the technical field of industrial wastewater monitoring. The system is configured to collect historical pollution discharge data of an enterprise related to a target pollution discharge port at the target pollution discharge port, and perform pollution discharge content analysis based on pollution discharge capacity to form historical pollution discharge content data of the enterprise; real-time pollution discharge data of the target pollution discharge port and real-time pollution discharge approval data of an enterprise related to the target pollution discharge port are acquired, pollution discharge change analysis is performed, and real-time pollution discharge change analysis result information is formed; according to the historical pollution discharge content data of the enterprise and the real-time pollution discharge change analysis result information, deviation traceability analysis is carried out, and super-discharge source reference data is formed. According to the system, the industrial wastewater discharged by the enterprise is timely and reasonably monitored, compared and analyzed by combining the data of the internet of things, so that the monitoring efficiency is greatly improved, the discharge amount of the enterprise can be strictly controlled, and timely and reasonable wastewater discharge management is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial wastewater monitoring, and in particular to an industrial wastewater monitoring and management system based on the Internet of Things. Background Art

[0002] Industrial wastewater has the problems of high pollution and difficulty in degradation, so the discharge of industrial wastewater must be strictly controlled. Industrial wastewater must be strictly treated and purified to meet the prescribed standards before it can be discharged to avoid causing serious damage to the environment.

[0003] At present, there are two difficulties in monitoring industrial wastewater discharge. One is that most of the monitoring of discharge is still based on manual methods, which is time-consuming and labor-intensive, and the results are not very timely. The other is that most of the discharge management is based on the company's own approval. It is impossible to accurately monitor whether the company really discharges according to the approved plan, resulting in the situation of illegal discharge by the company and it cannot be discovered in time. This seriously affects the safety and rationality of discharge and causes serious damage to the environment.

[0004] Therefore, designing an industrial wastewater monitoring and management system based on the Internet of Things, combining IoT data to conduct timely and reasonable monitoring and comparative analysis of industrial wastewater discharged by enterprises, while greatly improving the monitoring efficiency, it can also achieve strict control of enterprise emissions and achieve timely and reasonable wastewater discharge management, which is an urgent problem to be solved. Summary of the invention

[0005] The purpose of the present invention is to provide an industrial wastewater monitoring and management system based on the Internet of Things. By setting a sewage monitoring point at the target sewage outlet for on-site real-time discharge monitoring, it is possible to obtain the content of different pollutants in the actual industrial wastewater discharge more efficiently and timely. At the same time, by using the historical sewage discharge data of the enterprises involved in the target sewage outlet, on the one hand, it is possible to realize the reasonable judgment of the discharge volume of the wastewater pollutants discharged by the enterprise and the determination of the possible value of each discharge volume, and provide a reasonable and accurate data basis for the subsequent combined analysis of the discharge volume of the target sewage outlet. On the other hand, it is also possible to realize the determination of the types of wastewater pollutants discharged by the enterprise at the target sewage outlet, and provide accurate judgment of the enterprise objects involved in each wastewater pollutant. In addition, on the basis of fully obtaining the monitoring data of the real-time discharge of wastewater pollutants, combined with the sewage discharge data reported by the enterprise for approval, it is possible to complete the comparative analysis of the sewage discharge situation in real time and efficiently, realize the suspicious analysis of the over-discharge enterprise, and provide accurate data reference for the timely and strict control and management of the industrial wastewater pollutant discharge of the enterprise, and effectively minimize the pollution of the environment by industrial wastewater discharge.

[0006] In the first aspect, the present invention provides an industrial wastewater monitoring and management system based on the Internet of Things, which is configured to: collect historical pollution discharge data of enterprises involved in the target pollution discharge outlet at the target pollution discharge outlet, and conduct pollution discharge content analysis based on pollution discharge capacity to form historical pollution discharge content data of the enterprise; obtain real-time pollution discharge data of the target pollution discharge outlet and real-time pollution discharge approval data of the enterprises involved in the target pollution discharge outlet, conduct pollution discharge change analysis, and form real-time pollution discharge change analysis result information; conduct deviation tracing analysis based on the historical pollution discharge content data and real-time pollution discharge change analysis result information of the enterprise to form reference data of the source of over-discharge.

[0007] In the present invention, the system can obtain the content of different pollutants in the actual industrial wastewater discharge more efficiently and timely by setting sewage monitoring points at the target sewage outlets for real-time discharge monitoring. At the same time, by using the historical sewage discharge data of the enterprises involved in the target sewage outlets, on the one hand, it can realize the reasonable judgment of the discharge volume of the wastewater pollutants discharged by the enterprises and the determination of the possible value of each discharge volume, and provide a reasonable and accurate data basis for the subsequent combined analysis of the discharge volume of the target sewage outlets. On the other hand, it can also realize the determination of the types of wastewater pollutants discharged by the enterprises at the target sewage outlets, and provide accurate judgment of the enterprise objects involved in each wastewater pollutant. In addition, on the basis of fully obtaining the monitoring data of the real-time discharge of wastewater pollutants, combined with the sewage discharge data reported by the enterprises for approval, it can complete the comparative analysis of the sewage discharge situation in real time and efficiently, realize the suspicious analysis of the over-discharge enterprises, and provide accurate data reference for the timely and strict control and management of the industrial wastewater pollutant discharge of the enterprises, and effectively minimize the pollution of the environment by industrial wastewater discharge.

[0008] Optionally, historical pollution discharge data of the enterprises involved in the target pollution discharge outlets are collected, and pollution discharge content analysis based on pollution discharge capacity is conducted to form historical pollution discharge content data of the enterprises, including: determining the types of wastewater pollutants discharged by different enterprises based on historical pollution discharge data to form corresponding enterprise wastewater type information; conducting historical pollution discharge content analysis of each wastewater pollutant based on the corresponding enterprise wastewater type information of different enterprises, and performing content discretization processing to form a historical discrete content distribution set of enterprise wastewater pollutants for each wastewater pollutant discharged by the enterprise.

[0009] In the present invention, the processing of historical pollution data has two purposes. On the one hand, the types of wastewater pollutants discharged by different enterprises in the target sewage outlet are determined through historical pollution data, so as to provide a reference for the demarcation of the scope of enterprises for the subsequent analysis of over-discharge of different wastewater pollutants, and ensure the accuracy of subsequent suspicious analysis. Another aspect is to determine the discharge capacity of enterprises in the discharge of different wastewater pollutants. It is understandable that the discharge volume of different wastewater pollutants reported by enterprises is not necessarily the discharge volume of the enterprise's maximum capacity. The size of the discharge volume is formed by combining the production and operation conditions of the enterprise and the processing capacity of the enterprise's equipment settings. Under historical big data, the influence of the production and operation conditions of the enterprise on the amount of discharged wastewater pollutants can be eliminated through big data analysis. At the same time, the discrete distribution data obtained also shows the possible discharge volume of wastewater pollutants discharged by the enterprise. Since the products produced are independent and unrelated, the change in the amount of discharged wastewater pollutants is not continuous. The possible discharge volume data set obtained from the enterprise based on historical data is also discrete. This discretized data reflects the discharge capacity of the enterprise and is also the data basis for subsequent over-discharge analysis.

[0010] Optionally, based on the enterprise wastewater type information corresponding to different enterprises, the historical discharge content of each wastewater pollutant is analyzed, and the content is discretized to form a historical discrete content distribution set of enterprise wastewater pollutants for each wastewater pollutant discharged by the enterprise, including: for different enterprises, different wastewater pollutants discharged from the target sewage outlet, the time period between the time point of each discharge approval and the time point of the next discharge approval is the content analysis time period; based on the historical discharge data, the average content values ​​of different wastewater pollutants discharged by the enterprise at the target sewage outlet during the content analysis time period are determined; for different wastewater pollutants discharged by the enterprise at the target sewage outlet, all corresponding average content values ​​are non-repeatedly aggregated to form a historical discrete content distribution set of enterprise wastewater pollutants.

[0011] In the present invention, the possible wastewater pollutant discharge of an enterprise must first distinguish the types of wastewater pollutants discharged, and then extract the content value of each discharge based on historical discharge data. It can be understood that the discharge content value is related to the production and operation of the enterprise at each approval, so when determining the content value, the time dimension is divided based on the time point of approval to intercept the discharge data for analysis. Of course, the actual content of wastewater pollutants obtained will fluctuate in the time dimension, so it needs to be averaged to determine the average level of wastewater pollutants discharged in the time period under investigation.

[0012] Optionally, real-time pollution discharge data of the target sewage outlet and real-time pollution discharge approval data of the enterprises involved in the target sewage outlet are obtained, and pollution discharge change analysis is performed to form real-time pollution discharge change analysis result information, including: obtaining real-time pollution discharge approval data of different enterprises involved in the target sewage outlet, and determining the approved unit total content of each wastewater pollutant discharged from the target sewage outlet; obtaining real-time pollution discharge data of the target sewage outlet, and determining the real-time content data of each wastewater pollutant discharged from the target sewage outlet, and determining the real-time average unit total content; for each wastewater pollutant discharged from the target sewage outlet, comparative analysis is performed between the corresponding approved unit total content and the real-time average unit total content to form real-time pollution discharge change analysis result information.

[0013] In the present invention, after obtaining the real-time sewage discharge data of the target sewage outlet, the data reported by the enterprise can be accurately and real-time compared and confirmed based on the real-time monitoring data, so as to efficiently and timely find out whether there is a deviation between the reported data and the actual discharge data, and then determine whether there is any enterprise with illegal discharge. Of course, since the content of wastewater pollutants at the monitored target sewage outlet is the sum of the discharge of the same wastewater pollutants by different enterprises, the comparison analysis is also to compare the sum of the same wastewater pollutants in the reported data.

[0014] Optionally, real-time sewage discharge data of the target sewage outlet is obtained, and the real-time content data of each wastewater pollutant discharged from the target sewage outlet is determined, and the real-time average unit total content is determined, including: determining the real-time content monitoring value of each wastewater pollutant according to the real-time sewage discharge data of the target sewage outlet; fitting the content value change trend according to the time dimension sequence according to the real-time content monitoring value of each wastewater pollutant to form a corresponding real-time content monitoring function C n (t), n represents the number of different wastewater pollutants discharged from the target sewage outlet; for different wastewater pollutants, according to the corresponding real-time content monitoring function C n (t), establish the following relationship to determine the corresponding real-time average unit total content a n : T 0 Indicates the real-time monitoring duration.

[0015] In the present invention, it can be understood that when conducting real-time sewage discharge monitoring of the target sewage outlet, the real-time content data of the sewage discharge changes sequentially with the time dimension, so the real-time sewage discharge monitoring data is also subject to homogenization processing in the time dimension to ensure that the data comparison is stable and reasonable. The real-time monitoring data obtained here is considered to be extracted at intervals, so that it is discrete data in the time dimension. Therefore, based on these discrete data, a reasonable content change continuous function can be established and fitted to perform real-time characterization of the wastewater pollutant content data. By performing cumulative content statistics in the time dimension, the average content level value can be determined, and then the average total content data that can be stably monitored and compared can be obtained.

[0016] Optionally, for each wastewater pollutant discharged from the target sewage outlet, a comparative analysis of the corresponding approved unit total content and the real-time average unit total content is performed to form real-time sewage discharge change analysis result information, including: for different wastewater pollutants discharged from the target sewage outlet, the corresponding approved unit total content and the real-time average unit total content are obtained. n , set the super-excretion judgment time threshold and perform the following comparative analysis: if the real-time average unit total content a n If the total content of the unit does not exceed the approved content, the output emission has no abnormal information; if the real-time average total content of the unit is a n If the total content of the approved unit is exceeded and the total duration of emissions exceeding the total content of the approved unit reaches the excess emission determination duration threshold, the emission abnormality information will be output.

[0017] In the present invention, after obtaining the content data of wastewater pollutants monitored in real time, the actual situation of discharge can be determined by comparing with the approval data. There are two situations in this comparison and judgment, one is that the real-time discharge content does not exceed the unit content reported for approval, so that it can be determined that the content of wastewater pollutants discharged in real time does not exceed the standard, and the other is that the real-time discharge content exceeds the unit content reported for approval, but it is worth noting that in order to fully consider the sensitivity of the monitoring equipment and the influence of the content mixing of the discharged sewage on the comparison result, when the real-time discharge content exceeds the unit content reported for approval, it is also necessary to reach a certain duration threshold, and it has been determined that the super-discharge situation is not caused by the measurement drift of equipment and facilities or the uneven mixing of pollutants in the wastewater. For super-discharge judgment, the duration threshold can be determined according to the actual situation of the sewage outlet, the physical and chemical characteristics of the wastewater pollutants, and the use of equipment and facilities.

[0018] Optionally, deviation tracing analysis is performed based on the enterprise's historical pollutant emission content data and real-time pollutant emission change analysis result information to form reference data on the source of excess emission, including: performing pollutant emission content selection analysis based on the real-time pollutant emission change analysis result information in combination with the enterprise's historical pollutant emission content data to form the enterprise's pollutant emission content selection information; performing pollutant emission content combination analysis based on the enterprise's pollutant emission content selection information and in combination with the real-time average unit total content to form pollutant emission content combination analysis result information; performing pollutant emission tracing analysis based on the pollutant emission content combination analysis result information to form reference data on the source of excess emission.

[0019] In the present invention, if the real-time content value exceeds the approved unit total content value during monitoring and comparison, it can be determined that there is a black discharge of enterprises with over-discharge. The purpose of monitoring and management is to determine which enterprises have over-discharged, so as to stop the serious damage to the environment as soon as possible. Therefore, a reasonable emission combination analysis combined with the possible emission capacity of each enterprise can provide a reference for suspicious enterprises, so that the management object can make a management response to over-discharge in a more timely manner.

[0020] Optionally, based on the real-time pollution discharge change analysis result information, combined with the enterprise's historical pollution discharge content data, a pollution discharge content selection analysis is performed to form the enterprise's pollution discharge content selection information, including: when the real-time pollution discharge change analysis result information contains abnormal wastewater pollutant discharge information, the wastewater pollutants with abnormal discharges are calibrated as excess pollutants; for different excess pollutants, the source enterprises corresponding to the excess pollutants are determined, and based on the enterprise's corresponding real-time pollution discharge approval data, the enterprise's approved emission content of the excess pollutants is determined; based on the enterprise's approved emission content, and in combination with the enterprise's wastewater pollutant historical discrete content distribution set of excess pollutants corresponding to each enterprise, all average content values ​​in the enterprise's wastewater pollutant historical discrete content distribution set that are less than the approved emission content are excluded to form a corresponding enterprise pollution discharge content selection distribution set. k is the number of different enterprises involved in excessive pollutant discharge; the collection of pollutant discharge contents of different enterprises selects the distribution set Form the enterprise emission content selection information corresponding to the excess pollutants.

[0021] In the present invention, it can be understood that, for enterprises, the emissions reported for approval must be the emissions that the enterprises want to achieve in this emission or there is a certain fluctuation. Managers cannot tolerate enterprises to report higher fluctuations for approval. In many cases, they even reduce and control the emissions of enterprises. Therefore, the emissions reported for approval are the limit values ​​with real emission data. In the event of over-emission, the emissions of enterprises will inevitably exceed the approved data. Therefore, for the emission capacity and possible emissions shown by the enterprise in historical big data, the emission capacity data under the emissions reported for approval this time can be directly excluded. These data have no effect on the analysis of this over-emission. In this way, the content selection distribution set formed after exclusion is the parameter amount that the enterprise emissions may choose, which further improves the accuracy of the data for subsequent accurate analysis and judgment.

[0022] Optionally, according to the enterprise pollutant content selection information, combined with the real-time average unit total content, the pollutant content combination analysis is performed to form the pollutant content combination analysis result information, including: for different excess pollutants, according to the corresponding real-time average unit total content a n , and select the distribution set based on the pollution content of the enterprises involved The following pollutant discharge content combinations are performed: each time the pollutant discharge content of different enterprises is extracted, a distribution set is selected. Any average content value in satisfies the content combination condition:

[0023]

[0024] in, Indicates the selection of distribution set from the enterprise pollution content Extract any average content value, D n Indicates the allowable discharge deviation range of the wastewater pollutant numbered n discharged from the target sewage outlet, EXT(D n ) means extracting any constant value from the allowable emission deviation range; all pollutant content combinations that meet the content combination conditions are collected to form the pollutant content combination analysis result information.

[0025] In the present invention, of course, the content value obtained by actual monitoring is the basis for the possible combination of content values ​​emitted by the enterprise. A reasonable enterprise emission combination conditional formula is established in turn, and different over-emission combinations can be quickly determined. It can be understood that due to the mixing of pollutants and other external conditions, the combination of content values ​​provided may not accurately correspond to the content value monitored in real time. Usually there is a reasonable fluctuation, which can be compensated by the allowable emission deviation range. Of course, the allowable emission deviation range can be determined according to the actual situation. After the different possible combinations are determined, reasonable suspected over-emission objects can be determined.

[0026] Optionally, based on the pollutant emission content combination analysis result information, a pollutant emission source tracing analysis is performed to form reference data for the source of excess emission, including: based on different pollutant emission content combinations in the pollutant emission content combination analysis result information, a pollutant emission source tracing analysis is performed in the following manner: first determine the pollutant emission content combination with the largest number of enterprises whose average content value extracted from different pollutant emission content combinations is the approved emission content corresponding to the enterprise, calibrate the enterprises whose average content value extracted from the combination is not the approved emission content corresponding to the enterprise, and sort the enterprises in descending order according to the extracted average content value to form an initial set of enterprises suspected of excess emission sources; among the remaining pollutant emission content combinations, continue to calibrate according to the initial set of enterprises suspected of excess emission sources in the following manner: Determine whether any of the remaining pollutant emission content combinations has an average content value extracted that is not the approved emission content corresponding to the enterprise The enterprises with approved emission content and exceeding emission levels include all the enterprises in the initial set of enterprises with suspected sources of excessive emission: if so, then extract and exclude all the enterprises in the initial set of enterprises with suspected sources of excessive emission, and continue to sort them in the initial set of enterprises with suspected sources of excessive emission in order of the extracted average content values ​​from large to small, to form an extended set of enterprises with suspected sources of excessive emission, and continue to extract and sort the remaining combinations of pollutant emission content in the same way, until there is no situation where the extracted average content value is not the approved emission content corresponding to the enterprise and the enterprises with exceeding emission include all the enterprises in the extended set of enterprises with suspected sources of excessive emission, and the finally formed extended set of enterprises with suspected sources of excessive emission is determined as the reference set of enterprises with suspected sources of excessive emission; if not, then the initial set of enterprises with suspected sources of excessive emission is determined as the reference set of enterprises with suspected sources of excessive emission.

[0027] In the present invention, it can be understood that the black discharge and over-discharge phenomenon is caused by individual enterprises. If most of the enterprises have black discharge, it indicates that the emission control is unreasonable. Therefore, when performing the black discharge and over-discharge analysis of possible enterprises, the combination with the smallest number of enterprises that have over-discharge in the combination is started at the beginning. The over-discharge situation under this combination has the highest probability of occurrence, and thus the corresponding enterprise that has over-discharge is also the most likely black discharge and over-discharge. On this basis, the order arrangement based on the over-discharge is carried out to distinguish the suspicious size. If there are other over-discharge enterprise combinations containing previously determined suspicious enterprises in the subsequent remaining combination, and this combination is also the smallest one of the over-discharge enterprises in the remaining combination, then continue to extract the excess over-discharge enterprises to sort the suspicious size until there is no combination with a containment relationship. The formed suspicious reference enterprise sequence provides managers with timely and accurate black discharge and over-discharge verification references, fully ensuring the timeliness and accuracy of management.

[0028] The beneficial effects of the industrial wastewater monitoring and management system based on the Internet of Things provided by the present invention are:

[0029] The system can obtain the content of different pollutants in the actual industrial wastewater discharge more efficiently and timely by setting up sewage monitoring points at the target sewage outlets for real-time discharge monitoring. At the same time, by using the historical sewage discharge data of the enterprises involved in the target sewage outlets, on the one hand, it can realize the reasonable judgment of the discharge volume of wastewater pollutants discharged by the enterprises and the determination of the possible value of each discharge volume, providing a reasonable and accurate data basis for the subsequent analysis of the discharge volume combination of the target sewage outlets. On the other hand, it can also realize the determination of the types of wastewater pollutants discharged by the enterprises at the target sewage outlets, and provide accurate judgment of the enterprise objects involved in each wastewater pollutant. In addition, on the basis of fully obtaining the monitoring data of real-time discharge of wastewater pollutants, combined with the sewage discharge data reported by the enterprises for approval, it can complete the comparative analysis of the sewage discharge situation in real time and efficiently, realize the suspicious analysis of the over-discharge enterprises, and provide accurate data reference for the timely and strict control and management of the industrial wastewater pollutant discharge of the enterprises, and effectively minimize the pollution of the environment by industrial wastewater discharge. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments of the present invention are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 A step diagram of an industrial wastewater monitoring and management system based on the Internet of Things provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The technical solutions in the embodiments of the present invention will be described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0033] Industrial wastewater has the problems of high pollution and difficulty in degradation, so the discharge of industrial wastewater must be strictly controlled. Industrial wastewater must be strictly treated and purified to meet the prescribed standards before it can be discharged to avoid causing serious damage to the environment.

[0034] At present, there are two difficulties in monitoring industrial wastewater discharge. One is that most of the monitoring of discharge is still based on manual methods, which is time-consuming and labor-intensive, and the results are not very timely. The other is that most of the discharge management is based on the company's own approval. It is impossible to accurately monitor whether the company really discharges according to the approved plan, resulting in the situation of illegal discharge by the company and it cannot be discovered in time. This seriously affects the safety and rationality of discharge and causes serious damage to the environment.

[0035] refer to Figure 1 The embodiment of the present invention provides an industrial wastewater monitoring and management system based on the Internet of Things. The system can obtain the content of different pollutants in the actual industrial wastewater discharge more efficiently and timely by setting sewage monitoring points at the target sewage outlets for real-time discharge monitoring. At the same time, by using the historical sewage discharge data of the enterprises involved in the target sewage outlets, on the one hand, it can realize the reasonable judgment of the discharge volume of wastewater pollutants discharged by the enterprise and the determination of the possible value of each discharge volume, and provide a reasonable and accurate data basis for the subsequent analysis of the discharge volume combination of the target sewage outlets. On the other hand, it can also realize the determination of the types of wastewater pollutants discharged by the enterprise at the target sewage outlet, and provide accurate judgment of the enterprise objects involved in each wastewater pollutant. In addition, on the basis of fully obtaining the monitoring data of real-time discharge of wastewater pollutants, combined with the sewage discharge data reported by the enterprise for approval, it can complete the comparative analysis of the sewage discharge situation in real time and efficiently, realize the suspicious analysis of the over-discharge enterprises, and provide accurate data reference for the timely and strict control and management of the industrial wastewater pollutant discharge of the enterprise, and effectively minimize the pollution of the environment by industrial wastewater discharge.

[0036] The industrial wastewater monitoring and management system based on the Internet of Things is configured as:

[0037] S1: Collect historical pollution discharge data of the enterprises involved in the target pollution discharge outlets at the target pollution discharge outlets, and conduct pollution discharge content analysis based on pollution discharge capacity to form the historical pollution discharge content data of the enterprises.

[0038] Collect historical pollution discharge data of the enterprises involved in the target pollution discharge outlets, and conduct pollution discharge content analysis based on pollution discharge capacity to form historical pollution discharge content data of the enterprises, including: determining the types of wastewater pollutants discharged by different enterprises based on historical pollution discharge data to form corresponding enterprise wastewater type information; conducting historical pollution discharge content analysis of each wastewater pollutant based on the corresponding enterprise wastewater type information of different enterprises, and performing content discretization processing to form a historical discrete content distribution set of enterprise wastewater pollutants for each wastewater pollutant discharged by the enterprise.

[0039] There are two purposes for processing historical pollution data. On the one hand, the types of wastewater pollutants discharged by different enterprises at the target sewage outlets are determined through historical pollution data, so as to provide a reference for the demarcation of the scope of enterprises for the subsequent analysis of over-discharge of different wastewater pollutants, and ensure the accuracy of subsequent suspicious analysis. The other aspect is to determine the emission capacity of enterprises in the discharge of different wastewater pollutants. It is understandable that the discharge volume of different wastewater pollutants reported by enterprises is not necessarily the maximum discharge volume of enterprises. The size of the discharge volume is formed by combining the production and operation conditions of enterprises and the processing capacity of enterprise equipment settings. Under historical big data, the influence of the production and operation conditions of enterprises on the amount of discharged wastewater pollutants can be eliminated through big data analysis. At the same time, the discrete distribution data obtained also shows the possible discharge volume of wastewater pollutants discharged by enterprises. Since the products produced are independent and unrelated, the change in the amount of discharged wastewater pollutants is not continuous. The possible emission data set of enterprises obtained based on historical data is also discrete. This discretized data reflects the emission capacity of enterprises and is also the data basis for subsequent over-discharge analysis.

[0040] According to the enterprise wastewater type information corresponding to different enterprises, the historical pollution discharge content of each wastewater pollutant is analyzed, and the content is discretized to form a historical discrete content distribution set of enterprise wastewater pollutants for each wastewater pollutant discharged by the enterprise, including: for different enterprises, different wastewater pollutants discharged from the target sewage outlet, the time period between the time point of each discharge approval and the time point of the next discharge approval is the content analysis time period; according to the historical pollution discharge data, the average content values ​​of different wastewater pollutants discharged by the enterprise at the target sewage outlet during the content analysis time period are determined; for different wastewater pollutants discharged by the enterprise at the target sewage outlet, all corresponding average content values ​​are non-repeatedly aggregated to form a historical discrete content distribution set of enterprise wastewater pollutants.

[0041] The possible wastewater pollutant discharge of an enterprise must first distinguish the types of wastewater pollutants discharged, and then extract the content value of each discharge based on historical discharge data. It is understandable that the discharge content value is related to the production and operation of the enterprise at each approval, so when determining the content value, the time dimension is divided based on the time point of approval to intercept the emission data for analysis. Of course, the actual content of wastewater pollutants obtained will fluctuate in the time dimension, so it needs to be averaged to determine the average level of wastewater pollutants discharged during the period of investigation.

[0042] S2: Obtain the real-time pollution discharge data of the target pollution discharge outlet and the real-time pollution discharge approval data of the enterprises involved in the target pollution discharge outlet, conduct pollution discharge change analysis, and form real-time pollution discharge change analysis result information.

[0043] Acquire the real-time pollution discharge data of the target sewage outlet and the real-time pollution discharge approval data of the enterprises involved in the target sewage outlet, conduct pollution discharge change analysis, and form real-time pollution discharge change analysis result information, including: obtain the real-time pollution discharge approval data of different enterprises involved in the target sewage outlet, and determine the approved unit total content of each wastewater pollutant discharged from the target sewage outlet; obtain the real-time pollution discharge data of the target sewage outlet, and determine the real-time content data of each wastewater pollutant discharged from the target sewage outlet, and determine the real-time average unit total content; for each wastewater pollutant discharged from the target sewage outlet, conduct a comparative analysis of the corresponding approved unit total content and the real-time average unit total content to form real-time pollution discharge change analysis result information.

[0044] After obtaining the real-time discharge data of the target sewage outlet, the data reported by the enterprise can be accurately and timely compared and confirmed based on the real-time monitoring data, so as to efficiently and timely find out whether there is a deviation between the reported data and the actual discharge data, and then determine whether there is any illegal discharge by the enterprise. Of course, since the content of wastewater pollutants at the monitored target sewage outlet is the sum of the discharge of the same wastewater pollutants by different enterprises, the comparison analysis is also to compare the sum of the same wastewater pollutants in the reported data.

[0045] Obtain the real-time sewage discharge data of the target sewage outlet, determine the real-time content data of each wastewater pollutant discharged from the target sewage outlet, and determine the real-time average unit total content, including: determining the real-time content monitoring value of each wastewater pollutant according to the real-time sewage discharge data of the target sewage outlet; fitting the content value change trend according to the time dimension sequence according to the real-time content monitoring value of each wastewater pollutant to form the corresponding real-time content monitoring function C n (t), n represents the number of different wastewater pollutants discharged from the target sewage outlet; for different wastewater pollutants, according to the corresponding real-time content monitoring function C n (t), establish the following relationship to determine the corresponding real-time average unit total content a n : T 0 Indicates the real-time monitoring duration.

[0046] It is understandable that when conducting real-time pollution monitoring of the target sewage outlet, the real-time content data of the sewage discharge changes sequentially along the time dimension, so the real-time sewage monitoring data must also be averaged in the time dimension to ensure that the data comparison is stable and reasonable. The real-time monitoring data obtained here is considered to be extracted at intervals, making it discrete data in the time dimension. Therefore, based on these discrete data, a reasonable content change continuous function can be established and fitted to perform real-time characterization of the wastewater pollutant content data. By performing cumulative content statistics in the time dimension, the average content level value can be determined, and then the average total content data that can be stably monitored and compared can be obtained.

[0047] For each wastewater pollutant discharged from the target sewage outlet, a comparative analysis of the corresponding approved unit total content and the real-time average unit total content is performed to form real-time sewage discharge change analysis result information, including: for different wastewater pollutants discharged from the target sewage outlet, the corresponding approved unit total content and real-time average unit total content are obtained. n , set the super-excretion judgment time threshold and perform the following comparative analysis: if the real-time average unit total content a n If the total content of the unit does not exceed the approved content, the output emission has no abnormal information; if the real-time average total content of the unit is a n If the total content of the approved unit is exceeded and the total duration of emissions exceeding the total content of the approved unit reaches the excess emission determination duration threshold, the emission abnormality information will be output.

[0048] After obtaining the real-time monitoring data on the content of wastewater pollutants, the actual discharge situation can be determined by comparing it with the approved data. There are two situations for this comparison and judgment. One is that the real-time discharge content does not exceed the approved unit content, so that it can be determined that the real-time discharge of wastewater pollutants does not exceed the standard. The other is that the real-time discharge content exceeds the approved unit content. However, it is worth noting that in order to fully consider the sensitivity of the monitoring equipment and the impact of the content mixing of the discharged sewage on the comparison results, when the real-time discharge content exceeds the approved unit content, it is necessary to reach a certain duration threshold. It has been determined that the over-discharge situation is not caused by measurement drift of equipment and facilities or uneven mixing of pollutants in the wastewater. The threshold for determining the duration of over-discharge can be determined based on the actual situation of the sewage outlet, the physical and chemical characteristics of the wastewater pollutants, and the use of equipment and facilities.

[0049] S3: Based on the company's historical pollutant emission data and real-time pollutant emission change analysis results, conduct deviation source analysis to form reference data on the source of excess emissions.

[0050] Based on the company's historical pollutant emission data and real-time pollutant emission change analysis results, deviation tracing analysis is conducted to form reference data on the source of excess emission, including: based on the real-time pollutant emission change analysis results, combined with the company's historical pollutant emission data, pollutant emission content selection analysis is conducted to form the company's pollutant emission content selection information; based on the company's pollutant emission content selection information and combined with the real-time average unit total content, pollutant emission content combination analysis is conducted to form pollutant emission content combination analysis result information; based on the pollutant emission content combination analysis result information, pollutant emission tracing analysis is conducted to form reference data on the source of excess emission.

[0051] If the real-time content value exceeds the approved unit total content value during monitoring, it can be determined that there is an enterprise that has exceeded the discharge limit. The purpose of monitoring and management is to determine which enterprises have exceeded the discharge limit, so as to prevent the serious damage to the environment as soon as possible. Therefore, a reasonable emission combination analysis based on the possible emission capacity of each enterprise can provide a reference for suspicious enterprises, so that the management object can respond to the excessive discharge in a more timely manner.

[0052] Based on the real-time pollution discharge change analysis result information, combined with the enterprise's historical pollution discharge content data, a pollution discharge content selection analysis is performed to form the enterprise pollution discharge content selection information, including: when the real-time pollution discharge change analysis result information contains abnormal wastewater pollutant discharge information, the wastewater pollutants with abnormal discharge will be calibrated as excess pollutants; for different excess pollutants, the source enterprises corresponding to the excess pollutants are determined, and the enterprise's approved emission content of excess pollutants is determined based on the enterprise's corresponding real-time pollution discharge approval data; based on the enterprise's approved emission content, and combined with the enterprise's wastewater pollutant historical discrete content distribution set of excess pollutants corresponding to each enterprise, all average content values ​​in the enterprise's wastewater pollutant historical discrete content distribution set whose values ​​are less than the approved emission content are excluded to form the corresponding enterprise pollution discharge content selection distribution set. k is the number of different enterprises involved in excessive pollutant discharge; the collection of pollutant discharge contents of different enterprises selects the distribution set Form the enterprise emission content selection information corresponding to the excess pollutants.

[0053] It is understandable that for enterprises, the emissions reported for approval must be the emissions that the enterprises want to achieve in this emission or there is a certain fluctuation. Managers cannot tolerate enterprises to report higher fluctuations. In many cases, they even reduce the emissions of enterprises. Therefore, the emissions reported for approval are the limit values ​​with real emission data. In the event of over-emission, there will inevitably be enterprises whose emissions exceed the reported data. Therefore, for the emission capacity and possible emissions shown by the enterprise in historical big data, the emission capacity data under the emissions reported for this time can be directly excluded. These data have no effect on the analysis of this over-emission. In this way, the content selection distribution set formed after exclusion is the parameter quantity that the enterprise may choose for emissions, which further improves the accuracy of the data for subsequent accurate analysis and judgment.

[0054] According to the enterprise pollutant content selection information, combined with the real-time average unit total content, the pollutant content combination analysis is performed to form the pollutant content combination analysis result information, including: for different excessive pollutants, according to the corresponding real-time average unit total content a n , and select the distribution set based on the pollution content of the enterprises involved The following pollutant discharge content combinations are performed: each time the pollutant discharge content of different enterprises is extracted, a distribution set is selected. Any average content value in satisfies the content combination condition:

[0055]

[0056] in, Indicates the selection of distribution set from the enterprise pollution content Extract any average content value, D n Indicates the allowable discharge deviation range of the wastewater pollutant numbered n discharged from the target sewage outlet, EXT(D n ) means extracting any constant value from the allowable emission deviation range; all pollutant content combinations that meet the content combination conditions are collected to form the pollutant content combination analysis result information.

[0057] Of course, the content values ​​obtained through actual monitoring are the basis for the possible combination of content values ​​emitted by the enterprise. By establishing a reasonable combination conditional formula for enterprise emissions, different combinations of over-emissions can be quickly determined. It can be understood that due to the mixing of pollutants and other external factors, the combination of content values ​​provided may not accurately correspond to the content values ​​monitored in real time. There is usually a reasonable fluctuation, which can be compensated by the allowable emission deviation range. Of course, the allowable emission deviation range can be determined according to the actual situation. After the different possible combinations are determined, the suspected over-emission objects can be reasonably determined.

[0058] According to the information of the pollutant emission content combination analysis results, a pollutant emission source tracing analysis is carried out to form reference data on the sources of excess emission, including: conducting a pollutant emission source tracing analysis in the following manner according to different pollutant emission content combinations in the pollutant emission content combination analysis results information: first determine the pollutant emission content combination with the largest number of enterprises whose average content value extracted from different pollutant emission content combinations is the approved emission content corresponding to the enterprise, calibrate the enterprises whose average content value extracted from the combination is not the approved emission content corresponding to the enterprise, and sort the enterprises in descending order according to the extracted average content value to form an initial set of enterprises suspected of excess emission sources; among the remaining pollutant emission content combinations, continue to calibrate according to the initial set of enterprises suspected of excess emission sources in the following manner: Determine whether there are any pollutant emission content combinations in which the average content value extracted is not the approved emission content corresponding to the enterprise The enterprises with excessive discharge content include all the enterprises in the initial set of enterprises with suspected sources of excessive discharge: if so, then extract and exclude all the enterprises in the initial set of enterprises with suspected sources of excessive discharge, and continue to sort them in the initial set of enterprises with suspected sources of excessive discharge in order of the extracted average content value from large to small, to form an extended set of enterprises with suspected sources of excessive discharge, and continue to extract and sort the remaining combinations of pollutant discharge content in the same way, until there is no situation where the extracted average content value is not the approved emission content corresponding to the enterprise and the enterprises with excessive discharge include all the enterprises in the extended set of enterprises with suspected sources of excessive discharge, and the finally formed extended set of enterprises with suspected sources of excessive discharge is determined as the reference set of enterprises with suspected sources of excessive discharge; if not, then the initial set of enterprises with suspected sources of excessive discharge is determined as the reference set of enterprises with suspected sources of excessive discharge.

[0059] It can be understood that the phenomenon of black discharge and over-discharge is the work of individual enterprises. If most enterprises have black discharge, it means that the emission control is unreasonable. Therefore, when conducting black discharge and over-discharge analysis of possible enterprises, we should start with the combination with the smallest number of enterprises that have over-discharge in the combination. The over-discharge situation under this combination has the highest probability of occurrence, so the corresponding enterprise that has over-discharge is also the most likely to have black discharge and over-discharge. On this basis, the order of over-discharge is arranged to distinguish the suspicious size. If there are other over-discharge enterprise combinations containing the previously determined suspicious enterprises in the remaining combinations, and this combination is also the smallest one among the remaining combinations, then continue to extract the excess over-discharge enterprises and sort them by suspicious size until there is no combination with an inclusion relationship. The formed suspicious reference enterprise sequence provides managers with timely and accurate reference for black discharge and over-discharge verification, fully ensuring the timeliness and accuracy of management.

[0060] In summary, the beneficial effects of the industrial wastewater monitoring and management system based on the Internet of Things provided by the embodiment of the present invention are:

[0061] The system can obtain the content of different pollutants in the actual industrial wastewater discharge more efficiently and timely by setting up sewage monitoring points at the target sewage outlets for real-time discharge monitoring. At the same time, by using the historical sewage discharge data of the enterprises involved in the target sewage outlets, on the one hand, it can realize the reasonable judgment of the discharge volume of wastewater pollutants discharged by the enterprises and the determination of the possible value of each discharge volume, providing a reasonable and accurate data basis for the subsequent analysis of the discharge volume combination of the target sewage outlets. On the other hand, it can also realize the determination of the types of wastewater pollutants discharged by the enterprises at the target sewage outlets, and provide accurate judgment of the enterprise objects involved in each wastewater pollutant. In addition, on the basis of fully obtaining the monitoring data of real-time discharge of wastewater pollutants, combined with the sewage discharge data reported by the enterprises for approval, it can complete the comparative analysis of the sewage discharge situation in real time and efficiently, realize the suspicious analysis of the over-discharge enterprises, and provide accurate data reference for the timely and strict control and management of the industrial wastewater pollutant discharge of the enterprises, and effectively minimize the pollution of the environment by industrial wastewater discharge.

[0062] In the embodiment of the present invention, "indication" may include direct indication and indirect indication, and may also include explicit indication and implicit indication. The information indicated by a certain information is called information to be indicated. In the specific implementation process, there are many ways to indicate the information to be indicated, such as but not limited to, the information to be indicated can be directly indicated, such as the information to be indicated itself or the index of the information to be indicated. The information to be indicated can also be indirectly indicated by indicating other information, wherein there is an association relationship between the other information and the information to be indicated. It is also possible to indicate only a part of the information to be indicated, while the other parts of the information to be indicated are known or agreed in advance. For example, the indication of specific information can also be achieved by means of the arrangement order of each information agreed in advance (for example, specified by the protocol), thereby reducing the indication overhead to a certain extent. At the same time, the common parts of each information can also be identified and indicated uniformly to reduce the indication overhead caused by indicating the same information separately.

[0063] In addition, the specific indication method may also be various existing indication methods, such as but not limited to the above-mentioned indication methods and various combinations thereof. The specific details of the various indication methods can refer to the prior art and will not be repeated herein. As can be seen from the above, for example, when it is necessary to indicate multiple information of the same type, different indication methods may be used for different information. In the specific implementation process, the desired indication method can be selected according to specific needs. The embodiment of the present invention does not limit the selected indication method. In this way, the indication method involved in the embodiment of the present invention should be understood to cover various methods that can enable the party to be indicated to obtain the information to be indicated.

[0064] It should be understood that the information to be indicated can be sent as a whole or divided into multiple sub-information and sent separately, and the sending period and / or sending time of these sub-information can be the same or different. The specific sending method is not limited in the embodiment of the present invention. Among them, the sending period and / or sending time of these sub-information can be pre-defined, for example, pre-defined according to a protocol, or can be configured by the sending end device by sending configuration information to the receiving end device.

[0065] "Pre-definition" or "pre-configuration" can be implemented by pre-saving corresponding codes, tables or other methods that can be used to indicate relevant information in the device, and the embodiments of the present invention do not limit the specific implementation method. Among them, "saving" can mean saving in one or more memories. The one or more memories can be set separately or integrated in an encoder or decoder, a processor, or a communication device. The one or more memories can also be partially set separately and partially integrated in a decoder, a processor, or a communication device. The type of memory can be any form of storage medium, which is not limited by the embodiments of the present invention.

[0066] The "protocol" involved in the embodiments of the present invention may refer to a protocol family in the communication field, a standard protocol with a similar protocol family frame structure, or a related protocol applied in future communication systems, and the embodiments of the present invention do not specifically limit this.

[0067] In the embodiments of the present invention, descriptions such as "when...", "in the case of...", "if" and "if" all mean that the device will perform corresponding processing under certain objective circumstances, but do not limit the time, nor do they require the device to perform judgment actions when implementing, nor do they mean the existence of other limitations.

[0068] In the description of the embodiments of the present invention, unless otherwise specified, " / " indicates that the objects associated before and after are in an "or" relationship, for example, A / B can represent A or B; "and / or" in the embodiments of the present invention is only a kind of association relationship describing the associated objects, indicating that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. In addition, in the description of the embodiments of the present invention, unless otherwise specified, "multiple" refers to two or more than two. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple. In addition, in order to facilitate the clear description of the technical solution of the embodiments of the present invention, in the embodiments of the present invention, the words "first" and "second" are used to distinguish the same items or similar items with basically the same functions and effects. Those skilled in the art will appreciate that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit the difference. At the same time, in the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way for easy understanding.

[0069] It should be understood that the processor in the embodiment of the present invention may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0070] It should also be understood that the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0071] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0072] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0073] In the present invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0074] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0075] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0076] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0077] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0078] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0079] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0080] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0081] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An industrial wastewater monitoring and management system based on the Internet of Things, characterized in that: is configured as: Collect historical pollution discharge data of enterprises involved in the target pollution discharge outlets at the target pollution discharge outlets, and conduct pollution discharge content analysis based on pollution discharge capacity to form historical pollution discharge content data of enterprises; Acquire the real-time pollutant discharge data of the target pollutant discharge outlet and the real-time pollutant discharge approval data of the enterprises involved in the target pollutant discharge outlet, conduct pollutant discharge change analysis, and form real-time pollutant discharge change analysis result information; Based on the historical pollution discharge content data of the enterprise and the real-time pollution discharge change analysis result information, deviation tracing analysis is carried out to form reference data on the source of excess discharge.

2. The industrial wastewater monitoring and management system based on the Internet of Things according to claim 1 is characterized in that: The historical pollution discharge data of the enterprises involved in the target sewage outlets are collected at the target sewage outlets, and the pollution discharge content analysis based on the sewage discharge capacity is performed to form the historical pollution discharge content data of the enterprises, including: According to the historical pollution discharge data, the types of wastewater pollutants discharged by different enterprises are determined to form corresponding enterprise wastewater type information; According to the enterprise wastewater type information corresponding to different enterprises, the historical discharge content of each wastewater pollutant is analyzed, and the content is discretized to form a historical discrete content distribution set of enterprise wastewater pollutants for each wastewater pollutant discharged by the enterprise.

3. The industrial wastewater monitoring and management system based on the Internet of Things according to claim 2 is characterized in that: According to the enterprise wastewater type information corresponding to different enterprises, the historical discharge content of each wastewater pollutant is analyzed, and the content is discretized to form a historical discrete content distribution set of enterprise wastewater pollutants for each wastewater pollutant discharged by the enterprise, including: For different enterprises, the different wastewater pollutants discharged from the target sewage outlets shall be analyzed in the time period between each discharge approval time point and the next discharge approval time point; Determine, based on the historical pollution discharge data, the average content values ​​of different wastewater pollutants discharged by the enterprise at the target sewage outlet during the content analysis period; For different wastewater pollutants discharged by the enterprise at the target sewage outlet, all corresponding average content values ​​are non-repetitively collected to form a historical discrete content distribution set of the enterprise's wastewater pollutants.

4. The industrial wastewater monitoring and management system based on the Internet of Things according to claim 3 is characterized in that: The acquiring of the real-time pollutant discharge data of the target pollutant discharge outlet and the real-time pollutant discharge approval data of the enterprises involved in the target pollutant discharge outlet, performing pollutant discharge change analysis, and forming real-time pollutant discharge change analysis result information includes: Obtaining the real-time pollutant discharge approval data of different enterprises involved in the target sewage outlet, and determining the total approved unit content of each wastewater pollutant discharged from the target sewage outlet; Acquire the real-time sewage discharge data of the target sewage outlet, determine the real-time content data of each wastewater pollutant discharged from the target sewage outlet, and determine the real-time average unit total content; For each wastewater pollutant discharged from the target sewage outlet, a comparative analysis is performed between the corresponding reported unit total content and the real-time average unit total content to form the real-time sewage discharge change analysis result information.

5. The industrial wastewater monitoring and management system based on the Internet of Things according to claim 4 is characterized in that: The step of obtaining the real-time sewage discharge data of the target sewage discharge outlet, determining the real-time content data of each wastewater pollutant discharged from the target sewage discharge outlet, and determining the real-time average unit total content includes: Determine the real-time content monitoring value of each wastewater pollutant according to the real-time sewage discharge data of the target sewage outlet; According to the real-time content monitoring value of each wastewater pollutant, the content value change trend is fitted in the order of time dimension to form the corresponding real-time content monitoring function C n (t), n represents the serial number of different wastewater pollutants discharged from the target sewage outlet; For different wastewater pollutants, according to the corresponding real-time content monitoring function C n (t), establish the following relationship to determine the corresponding real-time average unit total content a n :

6. The industrial wastewater monitoring and management system based on the Internet of Things according to claim 5 is characterized in that: The comparative analysis of the corresponding reported unit total content and the real-time average unit total content of each wastewater pollutant discharged from the target sewage outlet is performed to form the real-time sewage discharge change analysis result information, including: For different wastewater pollutants discharged from the target sewage outlet, obtain the corresponding reported unit total content and the real-time average unit total content a n , set the over-queue determination time threshold and perform the following comparative analysis: If the real-time average unit total content a n If the total content of the approved unit is not exceeded, the output emission has no abnormal information; If the real-time average unit total content a n If the total content of the approved unit is exceeded and the total duration of the emission exceeding the total content of the approved unit reaches the over-emission determination duration threshold, the emission abnormality information is output.

7. The industrial wastewater monitoring and management system based on the Internet of Things according to claim 6 is characterized in that: The deviation source analysis is performed based on the historical pollutant content data of the enterprise and the real-time pollutant change analysis result information to form reference data on the source of excess discharge, including: According to the real-time pollutant discharge change analysis result information, combined with the enterprise's historical pollutant discharge content data, a pollutant discharge content selection analysis is performed to form enterprise pollutant discharge content selection information; According to the enterprise pollutant content selection information, and in combination with the real-time average unit total content, a pollutant content combination analysis is performed to form pollutant content combination analysis result information; Based on the combined analysis result information of the pollutant discharge content, a pollutant discharge source tracing analysis is performed to form the reference data of the excess discharge source.

8. The industrial wastewater monitoring and management system based on the Internet of Things according to claim 7 is characterized in that: The pollutant discharge content selection analysis is performed based on the real-time pollutant discharge change analysis result information and combined with the historical pollutant discharge content data of the enterprise to form the enterprise pollutant discharge content selection information, including: When the real-time pollution change analysis result information contains abnormal wastewater pollutant discharge information, the wastewater pollutants with abnormal discharge are marked as excess discharge pollutants; For different excess pollutants, determine the source enterprise corresponding to the excess pollutants, and determine the approved emission content of the excess pollutants by the enterprise based on the real-time pollutant discharge approval data corresponding to the enterprise; According to the approved emission content of the enterprise, combined with the historical discrete content distribution set of the enterprise wastewater pollutants corresponding to each enterprise, all the average content values ​​of the historical discrete content distribution set of the enterprise wastewater pollutants with values ​​less than the approved emission content are excluded to form the corresponding enterprise emission content selection distribution set k is the number of different enterprises involved in the excessive discharge of pollutants; The collection of different enterprise pollution content selection distribution set Form the enterprise pollution discharge content selection information corresponding to the excess pollutants.

9. The industrial wastewater monitoring and management system based on the Internet of Things according to claim 8 is characterized in that: The pollutant discharge content combination analysis is performed based on the enterprise pollutant discharge content selection information and combined with the real-time average unit total content to form pollutant discharge content combination analysis result information, including: For different super-discharge pollutants, according to the corresponding real-time average unit total content a n , and select the distribution set in combination with the pollution content of the enterprises involved The following combinations of discharge contents are carried out: Each time the different enterprises' pollution discharge content is extracted, the distribution set is selected Any average content value in satisfies the content combination condition: in, Indicates the selection of distribution set from the pollution content of the enterprise Extract any average content value, D n Indicates the allowable discharge deviation range of the wastewater pollutant numbered n discharged from the target sewage outlet, EXT(D n ) represents extracting any constant value from the allowable emission deviation range; All pollutant content combinations that meet the content combination conditions are collected to form pollutant content combination analysis result information.

10. The industrial wastewater monitoring and management system based on the Internet of Things according to claim 9 is characterized in that: The pollutant discharge source analysis is performed based on the pollutant discharge content combined analysis result information to form the excess discharge source reference data, including: According to the different pollutant content combinations in the pollutant content combination analysis result information, the following pollutant source tracing analysis is performed: First, determine the pollutant content combination with the largest number of enterprises whose average content values ​​extracted from different pollutant content combinations are the approved emission content corresponding to the enterprise, calibrate the enterprises whose average content values ​​extracted from the combination are not the approved emission content corresponding to the enterprise, and sort the enterprises in descending order according to the extracted average content values ​​to form an initial set of enterprises suspected of excessive emission sources; In the remaining pollution discharge content combinations, the following methods are further calibrated according to the initial set of suspected enterprises with excessive discharge sources: Determine whether there are any enterprises in the remaining pollutant content combinations whose average content value extracted is not the approved emission content corresponding to the enterprise and whose over-emission enterprises include all enterprises in the initial over-emission source suspicious enterprise concentration: If so, extract the other over-emission enterprises after excluding all the enterprises in the initial set of enterprises with suspected sources of over-emission, and continue to sort them in the initial set of enterprises with suspected sources of over-emission in descending order of the extracted average content values ​​to form an extended set of enterprises with suspected sources of over-emission, and continue to perform the same enterprise extraction and sorting processing on the remaining combinations of pollutant discharge contents until there is no situation where the extracted average content value is not the approved emission content corresponding to the enterprise and the over-emission enterprises include all the enterprises in the extended set of enterprises with suspected sources of over-emission, and determine the finally formed extended set of enterprises with suspected sources of over-emission as the reference set of enterprises with suspected sources of over-emission; If it does not exist, the initial set of suspected enterprises with over-displacement sources will be determined as the sequential set of reference enterprises with over-displacement sources.

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