Pollution discharge tracing method and system, electronic equipment and storage medium

Abstract

The invention relates to the technical field of environment monitoring, in particular to a pollution discharge traceability method and system, electronic equipment and a storage medium. The pollution discharge traceability association information at least comprises one of the following information: spatial topological relation information of a traceability starting point and a traceability target point, water quality characteristic information and pollution time sequence change information, the traceability starting point and the traceability target point have an association relation, and the traceability target point is located at the upstream of the traceability starting point; according to the pollution discharge traceability association information, determining the correlation degree between the traceability starting point and the traceability target point; a source tracing target point list is generated based on the multiple relevancy degrees, the source tracing target point list comprises multiple source tracing target points, and the multiple source tracing target points are arranged according to the high-low sequence of the relevancy degrees, so that pollution discharge source tracing is completed; according to the method, automatic pollution discharge traceability can be realized, the traceability efficiency is relatively high, the accuracy is relatively high, the applicability is relatively high, and the cost is relatively low.

Description

Technical Field

[0001] The present invention relates to the field of environmental monitoring technology, and in particular to a pollution tracing method, system, electronic equipment and storage medium. Background Art

[0002] In the field of water pollution control, pollution source tracing has always been an important and challenging task. Traditional pollution source tracing methods usually refer to data or conduct manual offline investigations to determine the corresponding sewage outlets or sewage discharge units.

[0003] However, the above method has the following defects: First, the efficiency of tracing the source is low, and it requires high professionalism of relevant personnel, which takes a lot of time and manpower costs; Second, the accuracy of tracing the source is low, which makes it difficult to meet the needs of precise pollution control. Summary of the invention

[0004] The present invention provides a pollution tracing method, system, electronic device and storage medium to solve the problems of low efficiency and low accuracy in pollution tracing in the prior art.

[0005] The present invention provides a method for tracing the source of pollution, the method comprising: obtaining pollution tracing association information, the pollution tracing association information comprising at least one of the following: spatial topological relationship information between a tracing starting point and a tracing target point, water quality characteristic information, and pollution time series change information, the tracing starting point and the tracing target point having an association relationship, and the tracing target point being located upstream of the tracing starting point;

[0006] Determine the correlation between the tracing starting point and the tracing target point according to the pollution tracing association information;

[0007] Based on the multiple correlations, a tracing target point list is generated, the tracing target point list includes the multiple tracing target points, and the multiple tracing target points are arranged in order of the correlations to complete the pollution tracing.

[0008] In one embodiment of the present invention, the step of determining the correlation between the tracing starting point and the tracing target point according to the spatial topological relationship between the tracing starting point and the tracing target point includes:

[0009] Acquire first position information of a tracing starting point and second position information of multiple tracing target points in the spatial topological relationship information;

[0010] Based on the first location information and the second location information, obtaining a target distance between the tracing starting point and the tracing target point;

[0011] Based on the target distance and a preset first mapping relationship, a first spatial correlation between the tracing target point and the tracing starting point is obtained, the target distance is negatively correlated with the first spatial correlation, and the first mapping relationship refers to a mapping relationship between the target distance and the spatial correlation.

[0012] In one embodiment of the present invention, the step of determining the correlation between the tracing starting point and the tracing target point according to the spatial topological relationship between the tracing starting point and the tracing target point includes:

[0013] Acquire the water flow velocity of the tracing target point, the first position information of the tracing starting point in the spatial topological relationship information, and the second position information of multiple tracing target points;

[0014] Based on the first location information and the second location information, obtaining a target distance between the tracing starting point and the tracing target point;

[0015] Based on the target distance, the water flow velocity and a preset second mapping relationship, a second spatial correlation between the tracing target point and the tracing starting point is obtained, the target distance is negatively correlated with the second spatial correlation, the water flow velocity is positively correlated with the second spatial correlation, and the second mapping relationship refers to a mapping relationship between a target array and spatial correlation, and the target array includes the target distance and the water flow velocity.

[0016] In one embodiment of the present invention, if the tracing source starting point is a sewage outlet into a river, and the tracing source target point is a sewage discharge unit, then according to the spatial topological relationship between the tracing source starting point and the tracing source target point, the step of determining the correlation between the tracing source starting point and the tracing source target point includes:

[0017] Obtaining the pipe network path information in the spatial topological relationship information;

[0018] Based on the pipe network path information, the path length from the river discharge outlet to the sewage discharge unit is obtained;

[0019] Based on the path length and a preset third mapping relationship, a third spatial correlation between the discharge unit and the sewage outlet into the river is obtained, and the path length is negatively correlated with the third spatial correlation. The third mapping relationship refers to the mapping relationship between the path length and the spatial correlation.

[0020] In one embodiment of the present invention, the step of determining the correlation between the tracing starting point and the tracing target point according to the water quality characteristic information of the tracing starting point and the tracing target point includes:

[0021] Acquire a first group spectrum of target pollution factors at a tracing starting point in the water quality characteristic information, and a second group spectrum of the target pollution factors at multiple tracing target points;

[0022] Matching the first group of spectra with each of the second group of spectra respectively to obtain a first matching degree between the first group of spectra and the second group of spectra;

[0023] Based on the first matching degree and the preset fourth mapping relationship, a first water quality correlation between the tracing starting point and the tracing target point is obtained, the first matching degree is positively correlated with the first water quality correlation, and the fourth mapping relationship refers to the mapping relationship between the matching degree and the water quality correlation.

[0024] In one embodiment of the present invention, the step of determining the correlation between the tracing starting point and the tracing target point according to the water quality characteristic information of the tracing starting point and the tracing target point includes:

[0025] Obtaining the first water quality category of the tracing starting point, the second water quality category of the plurality of tracing target points, the first group spectrum of the target pollution factor of the tracing starting point, and the second group spectrum of the target pollution factor of the plurality of tracing target points in the water quality characteristic information;

[0026] Based on the first water quality category and the second water quality category, a plurality of the tracing target points are screened to obtain suspected target points, where the suspected target points are tracing target points with the same water quality category as the tracing starting point;

[0027] Determine the second group spectrum of the target contamination factor of the suspected target point as the third group spectrum;

[0028] Matching the first group of spectra with the plurality of the third group of spectra respectively to obtain a second matching degree between the first group of spectra and the third group of spectra;

[0029] Based on the second matching degree and the fourth mapping relationship, the second water quality correlation between the tracing starting point and the suspected target point is obtained, the second matching degree is positively correlated with the second water quality correlation, and the fourth mapping relationship refers to the mapping relationship between the matching degree and the water quality correlation.

[0030] In one embodiment of the present invention, when the tracing starting point is a sewage outlet into a river and the tracing target point is a sewage discharge unit, the sewage discharge tracing association information further includes pipe network flow information; according to the water quality characteristic information of the tracing starting point and the tracing target point, the step of determining the correlation between the tracing starting point and the tracing target point includes:

[0031] Obtaining pipe network turbidity information and pipe network conductivity information from the water quality characteristic information;

[0032] Based on the pipe network flow information, the flow change rate of each pipe network within the target time period is obtained; the pipe network refers to the flow channel between the sewage discharge unit and the sewage outlet into the river, and the pipe network has an associated relationship with the sewage discharge unit;

[0033] Determine a first category of the pipe network based on the flow rate change rate and a preset first classification rule, wherein the first classification rule includes a plurality of flow rate change rate intervals, and each of the flow rate change rate intervals corresponds to a corresponding category;

[0034] Determine a second category of the pipe network based on the pipe network turbidity information and a preset second classification rule, wherein the second classification rule includes a plurality of turbidity intervals, each of the turbidity intervals corresponding to a corresponding category;

[0035] Determining a third category of the pipe network based on the pipe network conductivity and a preset third classification rule, wherein the third classification rule includes a plurality of conductivity intervals, each of the conductivity intervals corresponding to a corresponding category;

[0036] Determine a combination of the first category, the second category, and the third category of the pipeline network as a target combination;

[0037] Based on the target combination and a preset fifth mapping relationship, a pipe network suspicion degree is obtained, wherein the fifth mapping relationship refers to a mapping relationship between the target combination and the pipe network suspicion degree, and the pipe network suspicion degree corresponds to the sewage discharge unit one by one;

[0038] The pipe network suspicion degree is determined as the third water quality correlation between the sewage outlet into the river and the corresponding sewage discharge unit.

[0039] In one embodiment of the present invention, the step of determining the correlation between the tracing starting point and the tracing target point according to the water quality characteristic information of the tracing starting point and the tracing target point includes:

[0040] Obtaining a first concentration set of target water quality factors at the tracing starting point within the target time period and a second concentration set of target water quality factors at the tracing target point within the target time period in the water quality characteristic information;

[0041] Based on the first concentration set, a first concentration mean value of the target water quality factor at the tracing starting point is obtained;

[0042] Based on the second concentration set, a second concentration mean of the target water quality factor of the tracing target point is obtained;

[0043] determining a difference between the second concentration mean and the first concentration mean as a target difference;

[0044] Based on at least one of the second concentration mean value and the target difference value, scoring the suspicion degree of the traceability target point to obtain the target suspicion degree of each traceability target point, wherein the second concentration mean value and the target difference value are both positively correlated with the target suspicion degree;

[0045] The target suspicion degree is determined as a fourth water quality correlation degree between the tracing starting point and the suspected target point.

[0046] In one embodiment of the present invention, the pollution time series change information includes: first pollution factor information of the tracing starting point within the target time period, and second pollution factor information of the tracing target point within the target time period;

[0047] The step of determining the correlation between the tracing starting point and the tracing target point according to the pollution time series change information includes:

[0048] Comparing the time series change of the pollution factor components in the first pollution factor information with the time series change of the pollution factor components in the second pollution factor information to obtain a target similarity;

[0049] The target similarity is determined as the pollution change correlation between the tracing starting point and the tracing target point.

[0050] In one embodiment of the present invention, the step of determining the correlation between the tracing starting point and the tracing target point according to the spatial topological relationship information, water quality characteristic information and pollution time series change information of the tracing starting point and the tracing target point includes:

[0051] According to the spatial topological relationship information, the spatial correlation between the tracing target point and the tracing starting point is obtained;

[0052] Based on the water quality characteristic information of the tracing starting point and the tracing target point, obtaining the water quality correlation between the tracing target point and the tracing starting point;

[0053] Based on the pollution time series change information of the tracing starting point and the tracing target point, obtaining the pollution change correlation between the tracing starting point and the tracing target point;

[0054] Based on the spatial correlation, the water quality correlation, the pollution change correlation, the first preset weight, the second preset weight and the third preset weight, the comprehensive correlation between the tracing starting point and the tracing target point, the spatial correlation corresponds to the first preset weight, the water quality correlation corresponds to the second preset weight, and the pollution change correlation corresponds to the third preset weight.

[0055] The present invention also provides a pollution tracing system, the system comprising: an information acquisition module, used to acquire pollution tracing association information, the pollution tracing association information comprising at least one of the following: spatial topological relationship information between a tracing starting point and a tracing target point, water quality characteristic information, and pollution time series change information, the tracing starting point and the tracing target point having an association relationship, the tracing target point being located upstream of the tracing starting point;

[0056] A correlation analysis module, used to determine the correlation between the tracing starting point and the tracing target point according to the pollution tracing association information;

[0057] The list generation module is used to generate a tracing target point list based on multiple relevances, wherein the tracing target point list includes multiple tracing target points, and the multiple tracing target points are arranged in order of the relevances to complete pollution tracing.

[0058] The present invention also provides an electronic device, comprising a processor, a memory and a communication bus; the communication bus is used to connect the processor and the memory; the processor is used to execute a computer program stored in the memory to implement a pollution tracing method as provided in any one of the above embodiments.

[0059] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program is used to enable a computer to execute the pollution tracing method provided in any one of the above embodiments.

[0060] Beneficial effects of the present invention: The present invention proposes a method, system, electronic device and storage medium for pollutant discharge tracing, which obtains pollutant discharge tracing association information, which includes at least one of the following: spatial topological relationship information between the tracing starting point and the tracing target point, water quality characteristic information and pollution time series change information, the tracing starting point and the tracing target point have an association relationship, and the tracing target point is located upstream of the tracing starting point; according to the pollutant discharge tracing association information, the correlation between the tracing starting point and the tracing target point is determined; based on multiple correlations, a tracing target point list is generated, the tracing target point list includes multiple tracing target points, and the multiple tracing target points are arranged in order of high correlation to complete pollutant discharge tracing. The method can realize automatic pollutant discharge tracing, with high tracing efficiency, high accuracy, strong applicability and low cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A schematic diagram of a flow chart of a method for tracing the source of pollution provided by an embodiment of the present invention;

[0062] Figure 2 This is a sample diagram of the results of tracing the source of sewage discharge based on a cross section or a sewage outlet into a river in a sewage discharge tracing method provided in an embodiment of the present invention;

[0063] Figure 3 This is an example diagram of the style of the result obtained by tracing the source of pollution based on the location where the pollution incident occurred in the pollution source tracing method provided by one embodiment of the present invention;

[0064] Figure 4 is an exemplary schematic diagram of a pipe network topology in a sewage source tracing method provided in an embodiment of the present invention;

[0065] Figure 5 is an exemplary schematic diagram of a water catchment surface in a method for tracing the source of sewage provided in an embodiment of the present invention;

[0066] Figure 6 It is an exemplary schematic diagram of an implementation method of scoring the suspicion degree of a tracing target point in a pollution tracing method provided by an embodiment of the present invention;

[0067] Figure 7 It is a structural schematic diagram of a sewage tracing system provided by an embodiment of the present invention;

[0068] Figure 8 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0069] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0070] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0071] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0072] In order to facilitate understanding of the pollution tracing method, system, electronic device and storage medium provided by the present invention, some technical terms involved in the present invention are explained below.

[0073] Section: A monitoring point set up on a river.

[0074] Sewage outlet into a river: the outlet for discharging sewage into a river.

[0075] Pollutant-discharging unit: the source of sewage, such as industrial enterprises, residential areas, schools, hospitals, etc.

[0076] Pipeline network: refers to the channel through which sewage flows from the sewage discharge unit to the sewage outlet.

[0077] Combine the following Figures 1 to 8 , the pollution tracing method, system, electronic device and storage medium provided by the present invention are explained.

[0078] See also Figure 1 , Figure 1 A flow chart of a method for tracing the source of pollution provided by an embodiment of the present invention is shown in FIG. Figure 1 As shown, the pollution source tracing method includes:

[0079] S110: Obtain pollution source tracing associated information, the pollution source tracing associated information includes at least one of the following: spatial topological relationship information between the tracing starting point and the tracing target point, water quality characteristic information and pollution time series change information, the tracing starting point and the tracing target point have an associated relationship, and the tracing target point is located upstream of the tracing starting point.

[0080] It should be noted that the tracing starting point can be the point, section, and river discharge outlet where the pollution incident occurs. When the tracing starting point is the point where the pollution incident occurs, the corresponding tracing target point is the river discharge outlet located in the pollution incident buffer zone, and the point where the pollution incident occurs is associated with multiple river discharge outlets in the pollution incident buffer zone. The scope of the pollution incident buffer zone is determined based on the location of the pollution incident. When the tracing starting point is a section, the corresponding tracing target points are the multiple river discharge outlets associated with it. When the tracing starting point is a river discharge outlet, the corresponding tracing target points are the multiple pollutant discharge units associated with it.

[0081] It should also be noted that the spatial topological relationship information is used to represent the spatial relationship between the tracing starting point and the tracing target point. The water quality characteristic information refers to the water quality characteristics of the tracing starting point and the tracing target point within the target time period. The pollution time series change information refers to the pollution change of the tracing starting point and the tracing target point within the target time period.

[0082] It should be mentioned that by obtaining the pollution tracing association information, it is possible to facilitate the subsequent pollution tracing and provide data support for pollution tracing. In addition, considering that in the actual tracing process, the stored data may be incomplete or missing, therefore, this embodiment obtains at least one of the spatial topological relationship information, water quality characteristic information, and pollution time series change information between the tracing starting point and the tracing target point to perform subsequent pollution tracing, which has a certain degree of adaptability.

[0083] S120: Determine the correlation between the tracing starting point and the tracing target point according to the pollution tracing association information.

[0084] It should be noted that by determining the correlation between the tracing starting point and the tracing target point based on the pollution tracing association information, the accuracy is relatively high.

[0085] S130: Based on the multiple correlations, a tracing target point list is generated, wherein the tracing target point list includes the multiple tracing target points, and the multiple tracing target points are arranged in order of the correlations to complete the pollution tracing.

[0086] It should be noted that by generating the tracing target point list, it is possible to realize the visualization of the tracing results, so that relevant personnel can identify the most likely tracing point, that is, the tracing target point with the greatest relevance, and it is also convenient for relevant personnel to grasp the overall pollution tracing situation.

[0087] It should be mentioned that the tracing target point list includes a list of river discharge outlets and a list of pollutant discharge units. It is understandable that when the tracing starting point is the point or section where the pollution incident occurs, the corresponding tracing target point list is a list of river discharge outlets. When the tracing starting point is a river discharge outlet, the corresponding tracing target point list is a list of pollutant discharge units.

[0088] During the specific implementation process, we can first obtain a list of sewage outlets into rivers, and then trace the sewage discharge units of the most relevant one or several relatively high-relevant sewage outlets in the list to obtain a list of sewage discharge units, thereby completing the sewage discharge tracing.

[0089] It is also necessary to mention that the sewage source tracing method in the above-mentioned embodiment adopts a unified tracing method, and there is no need to establish tracing methods for different sections and sewage outlets into the river respectively, and the adaptability is strong.

[0090] Figure 2 This is an example of the results of tracing the source of sewage based on the cross section or the sewage outlet into the river in the sewage tracing method provided by one embodiment of the present invention. Figure 2In the process of tracing the source of sewage discharge, the source of sewage discharge is firstly traced based on the section to obtain the correlation between the section and the corresponding multiple sewage outlets into the river. Then, based on the correlation of the sewage outlets into the river, the source of sewage discharge is traced for one or more sewage outlets into the river ( Figure 2 The example of tracing the source of sewage discharge from three sewage outlets into the river is shown in the figure), and the correlation between the sewage outlets into the river and the corresponding multiple sewage discharge units is obtained, thereby completing the sewage discharge tracing. Figure 2 The relationship between the cross-section, the sewage outlet into the river and the water flow direction between the sewage discharge units is demonstrated by way of example.

[0091] Figure 3 This is an example of the style of the result obtained by tracing the source of pollution based on the location of the pollution incident in the pollution tracing method provided in one embodiment of the present invention. Please refer to Figure 3 In the process of tracing the source of pollution at the location where the pollution incident occurred, first, based on the location where the pollution incident occurred, determine the pollution incident buffer zone (the range of the pollution incident buffer zone is determined based on the location where the pollution incident occurred and the preset tracing distance). Secondly, the pollution tracing method in the above embodiment is used to obtain a list of sewage outlets into the river. It should be mentioned that the correlation of the sewage outlets into the river located in the pollution incident buffer zone is 0, so as to reduce the difficulty and complexity of calculation. Afterwards, based on the list of sewage outlets into the river, trace the source of pollution for one or more sewage outlets into the river ( Figure 3 The example of tracing the source of pollution from four sewage outlets into the river is shown in the figure), and the correlation between the sewage outlets into the river and the corresponding multiple sewage discharge units is obtained, thereby completing the pollution tracing.

[0092] In order to meet multiple application scenarios, that is, to solve the problem of incomplete or missing pollution discharge data, the present invention proposes multiple methods for obtaining the correlation between the tracing starting point and the tracing target point. The following uses different specific embodiments to explain the methods for obtaining the correlation between the tracing starting point and the tracing target point one by one.

[0093] Specific embodiment 1: For the case where there is only location information of the tracing starting point and the tracing target point.

[0094] The step of determining the correlation between the tracing starting point and the tracing target point according to the spatial topological relationship between the tracing starting point and the tracing target point comprises:

[0095] 1. Obtain the first position information of the tracing starting point and the second position information of multiple tracing target points in the spatial topological relationship information.

[0096] It should be noted that both the first location information and the second location information are GIS (Geographic Information System) information.

[0097] 2. Based on the first location information and the second location information, obtain a target distance between the tracing starting point and the tracing target point.

[0098] 3. Based on the target distance and a preset first mapping relationship, a first spatial correlation between the tracing target point and the tracing starting point is obtained, the target distance is negatively correlated with the first spatial correlation, and the first mapping relationship refers to a mapping relationship between the target distance and the spatial correlation.

[0099] It should be noted that the smaller the target distance is, the larger the corresponding first spatial correlation is. The value range of the first spatial correlation can be set according to the actual situation, such as [0-100) and the like. By adopting the above method, the correlation between the tracing starting point and the tracing target point can be obtained based only on the first position information of the tracing starting point and the second position information of multiple tracing target points, which refers to the first spatial correlation here.

[0100] Furthermore, the step of generating a traceability target point list based on the multiple correlations includes: generating a traceability target point list based on the multiple first spatial correlations. The traceability target point list includes the multiple traceability target points, and the multiple traceability target points are arranged in order of the first spatial correlations.

[0101] Specific embodiment 2: for the case where there is only the location information of the tracing starting point and the tracing target point, and the water flow velocity of the tracing target point.

[0102] The step of determining the correlation between the tracing starting point and the tracing target point according to the spatial topological relationship between the tracing starting point and the tracing target point comprises:

[0103] 1. Obtain the water flow velocity of the tracing target point, the first position information of the tracing starting point in the spatial topological relationship information, and the second position information of multiple tracing target points.

[0104] 2. Based on the first location information and the second location information, obtain a target distance between the tracing starting point and the tracing target point.

[0105] It should be noted that the target distance refers to the straight-line distance between the tracing starting point and the tracing target point.

[0106] 3. Based on the target distance, the water flow velocity and a preset second mapping relationship, a second spatial correlation between the tracing target point and the tracing starting point is obtained, the target distance is negatively correlated with the second spatial correlation, the water flow velocity is positively correlated with the second spatial correlation, and the second mapping relationship refers to a mapping relationship between a target array and a spatial correlation, and the target array includes the target distance and the water flow velocity.

[0107] It should be noted that the smaller the target distance and the greater the water flow velocity, the greater the second spatial correlation. The value range of the second spatial correlation can be set according to actual conditions, such as [0-100). By adopting the above method to obtain the second spatial correlation between the tracing target point and the tracing starting point, the accuracy is high.

[0108] Furthermore, based on the plurality of correlations, the step of generating a list of traceability target points includes:

[0109] Based on the plurality of second spatial correlations, a traceability target point list is generated. The traceability target point list includes the plurality of traceability target points, and the plurality of traceability target points are arranged in order of the second spatial correlations.

[0110] Specific embodiment three: for the case where the tracing starting point is a sewage outlet into a river, the tracing target point is a sewage discharge unit and has pipe network path information.

[0111] The step of determining the correlation between the tracing starting point and the tracing target point according to the spatial topological relationship between the tracing starting point and the tracing target point comprises:

[0112] 1. Obtain the pipe network path information in the spatial topological relationship information. Figure 4 This is an exemplary schematic diagram of the pipe network topology in the sewage tracing method provided by an embodiment of the present invention. Please refer to Figure 4 , the information corresponding to the pipe network topology includes the pipe network path information.

[0113] 2. Based on the pipe network path information, the path length from the sewage outlet into the river to the sewage discharge unit is obtained.

[0114] 3. Based on the path length and a preset third mapping relationship, a third spatial correlation between the discharge unit and the sewage outlet into the river is obtained, and the path length is negatively correlated with the third spatial correlation. The third mapping relationship refers to the mapping relationship between the path length and the spatial correlation.

[0115] It should be noted that the shorter the path length, the greater the corresponding third spatial correlation. By adopting the above steps, a third spatial correlation with higher accuracy can be obtained.

[0116] Furthermore, the step of generating a traceability target point list based on multiple of the relevances includes: generating a traceability target point list based on multiple of the third spatial relevances, the traceability target point list including multiple of the traceability target points, and the multiple of the traceability target points are arranged in order of the third spatial relevance.

[0117] Specific embodiment 4: For the case where the tracing starting point is a river discharge outlet, the tracing target point is a sewage discharge unit, and there is pipe network path information and water flow velocity of the tracing target point. In this case, based on the pipe network path information, the path length from the river discharge outlet to the sewage discharge unit is obtained; combined with the path length and the water flow velocity of the tracing target point, the corresponding correlation is obtained. The shorter the path length and the greater the water flow velocity, the greater the corresponding correlation.

[0118] It should be mentioned that in the above specific embodiments 1, 2, 3, and 4, if the sewage discharge unit is traced based on the sewage outlet into the river, then in order to simplify the calculation complexity, for the sewage discharge unit outside the catchment area, the corresponding correlation is 0. The catchment area refers to the surface map of the community (park) connected to a section of pipeline. Multiple sewage discharge units can be calculated from the location information of a catchment area, and each catchment area will be associated with one or more flow lines, indicating the pipe network entrance of the catchment area. Figure 5 This is an exemplary schematic diagram of the water catchment surface in the sewage source tracing method provided by an embodiment of the present invention. Please refer to Figure 5 For the discharge units outside the catchment area, the correlation can be as low as 0.

[0119] The above is the pollution source tracing from the aspect of spatial correlation. The following is an explanation of the method of pollution source tracing from the aspect of water quality correlation with a specific embodiment.

[0120] Specific embodiment 5: For the case of a component spectrum of a target pollution factor with only a tracing starting point and a tracing target point.

[0121] The step of determining the correlation between the tracing starting point and the tracing target point according to the water quality characteristic information of the tracing starting point and the tracing target point comprises:

[0122] 1. Obtain a first group of spectra of target pollution factors at the tracing starting point in the water quality characteristic information, and a second group of spectra of the target pollution factors at multiple tracing target points.

[0123] It should be noted that the component spectrum refers to the component composition of the pollution factor. The target pollution factor can be set or selected according to the actual situation, such as the main pollution factor of the river.

[0124] 2. Match the first group of spectra with each of the second group of spectra respectively to obtain a first matching degree between the first group of spectra and the second group of spectra.

[0125] 3. Based on the first matching degree and a preset fourth mapping relationship, a first water quality correlation between the tracing starting point and the tracing target point is obtained, the first matching degree is positively correlated with the first water quality correlation, and the fourth mapping relationship refers to a mapping relationship between the matching degree and the water quality correlation.

[0126] It should be noted that the higher the first matching degree is, the greater the corresponding first water quality correlation is. The above method can obtain the first water quality correlation with higher accuracy.

[0127] Furthermore, based on the plurality of correlations, the step of generating a list of traceability target points includes:

[0128] Based on the first water quality relevance, a tracing target point list is generated, the tracing target point list includes a plurality of the tracing target points, and the plurality of the tracing target points are arranged in order of the first water quality relevance.

[0129] Specific embodiment 6: For the case where there are only water quality categories of the tracing starting point and the tracing target point, and component spectra of target pollution factors of the tracing starting point and the tracing target point.

[0130] The step of determining the correlation between the tracing starting point and the tracing target point according to the water quality characteristic information of the tracing starting point and the tracing target point comprises:

[0131] 1. Obtain the first water quality category of the tracing starting point, the second water quality category of the multiple tracing target points, the first group spectrum of the target pollution factors of the tracing starting point, and the second group spectrum of the target pollution factors of the multiple tracing target points in the water quality characteristic information.

[0132] 2. Based on the first water quality category and the second water quality category, a plurality of the tracing target points are screened to obtain suspected target points, where the suspected target points are tracing target points having the same water quality category as the tracing starting point.

[0133] It should be noted that by screening the tracing target points based on water quality categories, it is possible to quickly lock in suspected target points and reduce the difficulty and complexity of subsequent pollution tracing.

[0134] It should also be noted that the water quality categories mainly include domestic sewage type, livestock and poultry breeding type, urban non-point source type, agricultural non-point source type, construction disturbance type, industrial pollution type, and ordinary rain and flood type.

[0135] Among them, domestic sewage type: most of the sewage outlets that discharge domestic sewage into rivers, the concentration ratio of TP (Total Phosphorus), NH3 (Ammonia Nitrogen), and COD (Chemical Oxygen Demand) in domestic sewage is usually around 1:8:60.

[0136] Livestock and poultry breeding type: The basin involves livestock and poultry breeding. The NH3 concentration in this type of wastewater is relatively high, and the COD:NH3 concentration ratio is generally between 0.5 and 2.

[0137] Urban non-point source type: usually occurs in the initial rain stage of urban built-up areas. COD concentration accounts for a high proportion, and the overall ratio of TP, NH3, and COD concentrations is about 1:10:500. After the initial rain, the pollutant concentration may return to the normal rain and flood type.

[0138] Agricultural non-point source type: mainly affected by farmland fertilizers, pesticides and soil loss, the ratio of ammonia nitrogen and total phosphorus concentration (total amount) is generally 1:1. There are many farmlands in the water receiving area, and the NH3 and TP concentrations of the sewage outlet into the river are high, while COD is not prominent.

[0139] Construction disturbance type: Usually only TP index increases significantly. Sometimes pH (acidity and alkalinity) also increases (affected by lime, cement, etc.).

[0140] Industrial pollution type: This type of wastewater is relatively complex, usually causing a significant increase in one, two or more factors among COD, NH3 and TP.

[0141] Ordinary rainwater type: COD, NH3, and TP generally meet Class IV water quality standards (one of the lowest surface water quality standards specified in the "Surface Water Environmental Quality Standards" (GB3838-2002)).

[0142] 3. Determine the second group spectrum of the target contamination factor of the suspected target point as the third group spectrum.

[0143] Fourth, matching the first group of spectra with the plurality of the third group of spectra respectively to obtain a second matching degree between the first group of spectra and the third group of spectra.

[0144] 5. Based on the second matching degree and the fourth mapping relationship, a second water quality correlation between the tracing starting point and the suspected target point is obtained, the second matching degree is positively correlated with the second water quality correlation, and the fourth mapping relationship refers to the mapping relationship between the matching degree and the water quality correlation.

[0145] It should be noted that the greater the second matching degree is, the greater the corresponding second water quality correlation is. By adopting the above method, a second water quality correlation with higher accuracy can be obtained.

[0146] Furthermore, based on the plurality of correlations, the step of generating a list of traceability target points includes:

[0147] Based on the plurality of second water quality relevances, a tracing target point list is generated, the tracing target point list includes the plurality of tracing target points, and the plurality of tracing target points are arranged in descending order of the second water quality relevances.

[0148] Specific embodiment seven: for the case where the tracing starting point is a sewage outlet into a river, the tracing target point is a sewage discharge unit, and there is pipe network flow information, pipe network turbidity information, and pipe network conductivity information.

[0149] The step of determining the correlation between the tracing starting point and the tracing target point according to the water quality characteristic information of the tracing starting point and the tracing target point comprises:

[0150] 1. Obtain the pipe network turbidity information and pipe network conductivity information from the water quality characteristic information.

[0151] 2. Based on the pipe network flow information, the flow change rate of each pipe network within the target time period is obtained; the pipe network refers to the flow channel between the sewage discharge unit and the sewage outlet into the river, and the pipe network has an associated relationship with the sewage discharge unit.

[0152] 3. Based on the flow rate change rate and a preset first classification rule, determine the first category of the pipe network, wherein the first classification rule includes a plurality of flow rate change rate intervals, and each of the flow rate change rate intervals corresponds to a corresponding category.

[0153] It should be noted that the pipe network (sewage pipe, branch pipe) usually has corresponding flow characteristics, that is, flow detection values. The flow change rate can be obtained based on the preset normal flow curve and the flow curve of the target time period, that is, based on the difference or fluctuation between the two curves, the corresponding flow change rate is obtained. The normal flow curve can be a curve corresponding to the hourly flow mean under non-rainfall conditions in the previous 3 or 4 days.

[0154] Table 1 below exemplarily shows the corresponding relationship between the flow rate change interval and the above-mentioned first category, that is, the first classification rule.

[0155] Table 1 Flow rate change classification table

[0156] category describe Flow rate change rate (relative rate of change) a Drastic increase >100％ b Significant increase 50～100％ c Moderate increase 20～50％ d Slight increase <20％

[0157] As shown in Table 1, different flow rate change rates correspond to different categories. In the specific implementation process, the flow change classification table can be adjusted according to actual conditions.

[0158] 4. Based on the pipe network turbidity information and a preset second classification rule, a second category of the pipe network is determined, wherein the second classification rule includes a plurality of turbidity intervals, and each of the turbidity intervals corresponds to a corresponding category.

[0159] It should be noted that the turbidity of the pipe network is usually between 0.1 and 100 NTU (turbidity units). The turbidity of the initially discharged domestic sewage (COD of about 300) is about 80 to 90 NTU; the turbidity of the diluted domestic sewage (COD concentration of 100) is about 30; for relatively clean water (for Class IV water quality standards, when COD is about 30, the overall turbidity is 2 to 5 NTU; for Class V water quality standards (one of the minimum water quality standards specified in the "Surface Water Environmental Quality Standards" (GB 3838-2002)), when COD is about 40, the overall turbidity is 4 to 10 NTU).

[0160] Table 2 below shows an exemplary pipe network turbidity classification table (second classification rule), please refer to Table 2 below:

[0161] Table 2 Pipeline network turbidity classification table

[0162] category describe Turbidity (NTU) (pipeline network turbidity information) a Black Water >50 b Grey water 30 to 50 c - 10 to 30 d Shimizu <10

[0163] As shown in Table 2, different pipe network turbidity information corresponds to different categories, namely the second category. In the specific implementation process, the pipe network turbidity classification table can be adjusted according to actual conditions.

[0164] 5. Based on the electrical conductivity of the pipe network and a preset third classification rule, determine the third category of the pipe network, wherein the third classification rule includes a plurality of electrical conductivity intervals, and each of the electrical conductivity intervals corresponds to a corresponding category.

[0165] Table 3 below shows an exemplary classification table of pipe network conductivity (third classification rule), please refer to Table 3 below:

[0166] Table 3 Classification of pipe network conductivity

[0167] category Conductivity (uS / cm, microSiemens per centimeter) a 1000 to 2000 b 500 to 1000 c 300 to 500 d <300

[0168] It should be noted that the above-mentioned pipe network conductivity classification table can be adjusted according to actual conditions and will not be repeated here.

[0169] 6. Determine a combination of the first category, the second category, and the third category of the pipeline network as a target combination.

[0170] 7. Based on the target combination and the preset fifth mapping relationship, the pipeline network suspicion degree is obtained, and the fifth mapping relationship refers to the mapping relationship between the target combination and the pipeline network suspicion degree, and the pipeline network suspicion degree corresponds one-to-one to the sewage discharge unit.

[0171] It should be noted that different target combinations correspond to different pipeline network suspicions.

[0172] The following table 4 shows an exemplary target combination classification table, please refer to the following table 4:

[0173] Table 4 Target combination classification table

[0174]

[0175] It should be noted that a, b, c, and d in Table 4 above correspond to the categories in Table 1, Table 2, and Table 3 above. For example, 3 a's indicate that the first category, the second category, and the third category are all of grade a, and 2 a's + 1 b / c / d indicates that two of the first category, the second category, and the third category are of grade a, and the remaining one is of grade b, grade c, or grade d.

[0176] It should also be noted that for different types of target combinations, the corresponding pipe network suspicions are also different. P1-1, P1-2, ..., P3-3, the corresponding pipe network suspicions gradually decrease.

[0177] It should be noted that by comprehensively considering the three factors of flow rate, turbidity and conductivity, the accuracy of the obtained pipeline network suspicion can be effectively improved.

[0178] 8. Determine the pipe network suspicion as the third water quality correlation between the sewage outlet into the river and the corresponding sewage discharge unit.

[0179] Furthermore, based on the plurality of correlations, the step of generating a list of traceability target points includes:

[0180] Based on the plurality of third water quality relevances, a tracing target point list is generated, the tracing target point list includes the plurality of tracing target points, and the plurality of tracing target points are arranged in descending order of the third water quality relevances.

[0181] Specific embodiment eight: for a case where a first concentration set of target water quality factors having a traceable starting point within a target time period and a second concentration set of target water quality factors having a traceable target point within the target time period.

[0182] The step of determining the correlation between the tracing starting point and the tracing target point according to the water quality characteristic information of the tracing starting point and the tracing target point comprises:

[0183] 1. Obtain a first concentration set of target water quality factors at the tracing starting point within the target time period and a second concentration set of target water quality factors at the tracing target point within the target time period in the water quality characteristic information.

[0184] 2. Based on the first concentration set, obtain a first concentration mean of the target water quality factor at the tracing starting point.

[0185] 3. Based on the second concentration set, a second concentration mean of the target water quality factor of the tracing target point is obtained.

[0186] 4. Determine the difference between the second concentration mean and the first concentration mean as the target difference.

[0187] It should be noted that if the source of the river discharge outlet is traced based on the section, the target difference = the mean concentration of the target water quality factor of the river discharge outlet - the mean concentration of the target water quality factor of the section. If the source of the sewage discharge unit is traced based on the river discharge outlet, the target difference = the mean concentration of the target water quality factor of the sewage discharge unit - the mean concentration of the target water quality factor of the river discharge outlet. The target water quality factor can be set according to the actual situation, such as the main pollutant component factor of the river.

[0188] 5. Based on at least one of the second concentration mean value and the target difference value, the suspicion degree of the traceability target point is scored to obtain the target suspicion degree of each traceability target point, and the second concentration mean value and the target difference value are both positively correlated with the target suspicion degree.

[0189] It should be noted that the methods for scoring the suspicion of the traceability target points include: 1. Scoring the suspicion of the traceability target points based on the second concentration mean; 2. Scoring the suspicion of the traceability target points based on the target difference; 3. Scoring the suspicion of the traceability target points based on the second concentration mean and the target difference. For method 1, first, sort the traceability target points based on the size of the second concentration mean to obtain a target sequence; secondly, segment the target sequence according to the preset segmentation rules, such as Figure 6 As shown in , the 18 traceability target points are divided into 4 sections; then, each section of the traceability target point is assigned a corresponding score interval, such as Figure 6The score corresponding to the first interval is 70 to 90 points, the score corresponding to the second interval is 50 to 70 points, the score corresponding to the third interval is 30 to 50 points, and the score corresponding to the fourth interval is 10 to 30 points, etc. The specific segmentation rules can be adjusted according to the actual situation. Finally, the traceability target points in each section are divided into geometric scores. For example, for the three traceability target points in the first section (arranged from large to small), the score interval of 70 to 90 points is divided geometrically, and the score (target suspicion) of the first traceability target point in the first section is 90 points, the score (target suspicion) of the second traceability target point is 80 points, and the score (target suspicion) of the third traceability target point is 70 points, etc. For traceability target points without concentration monitoring values, their target suspicion can be 5 points, etc. The corresponding slope = (90-10) / (the serial number of the first tracing target point in the target sequence - the serial number of the last tracing target point in the target sequence (assuming that the serial number of the first tracing target point in the target sequence is 1, the serial number of the second tracing target point is 2...)). Then the score of any tracing target point in the middle = slope * (the serial number of the current tracing target point - the serial number of the last tracing target point in the target sequence) + 10. For method 2, the above method can also be used, that is, based on the size of the target difference, the tracing target points are sorted, and then segmented and fractionally divided, etc., which will not be repeated here. For method 3, method one and method two can be executed respectively to obtain the scores of multiple tracing target points corresponding to method one, and the scores of multiple tracing target points corresponding to method two. Finally, the two parts of the scores are averaged to obtain the final score of each corresponding tracing target point, that is, the target suspicion.

[0190] It should be noted that, by adopting the above method, it is possible to easily determine the target suspicion degree with high accuracy.

[0191] 6. Determine the target suspicion degree as the fourth water quality correlation between the tracing starting point and the suspected target point.

[0192] Furthermore, based on the plurality of correlations, the step of generating a list of traceability target points includes:

[0193] Based on the plurality of fourth water quality relevances, a tracing target point list is generated, the tracing target point list includes the plurality of tracing target points, and the plurality of tracing target points are arranged in descending order of the fourth water quality relevances.

[0194] Specific embodiment 9: For the case where only pollution time series change information is available.

[0195] Specifically, the pollution time series change information includes: first pollution factor information of the tracing starting point within the target time period, and second pollution factor information of the tracing target point within the target time period;

[0196] Based on this, the step of determining the correlation between the tracing starting point and the tracing target point according to the pollution time series change information includes:

[0197] 1. Compare the time series changes of the pollution factor components in the first pollution factor information with the time series changes of the pollution factor components in the second pollution factor information to obtain the target similarity.

[0198] It should be noted that the existing DTW (Dynamic Time Warping) algorithm can be used to compare the time series changes of the pollution factor components in the first pollution factor information with the time series changes of the pollution factor components in the second pollution factor information with higher accuracy.

[0199] 2. Determine the target similarity as the correlation of pollution changes between the tracing starting point and the tracing target point.

[0200] It should be noted that by adopting the above method, a pollution change similarity with higher accuracy can be obtained.

[0201] Furthermore, based on the plurality of correlations, the step of generating a list of traceability target points includes:

[0202] Based on the multiple pollution change correlations, a tracing target point list is generated, the tracing target point list includes the multiple tracing target points, and the multiple tracing target points are arranged in order of the pollution change correlations.

[0203] Specific embodiment 10: For the case where both spatial topological relationship information and water quality characteristic information and pollution time series change information are included.

[0204] The step of determining the correlation between the tracing starting point and the tracing target point according to the spatial topological relationship information, water quality characteristic information and pollution time series change information of the tracing starting point and the tracing target point comprises:

[0205] 1. According to the spatial topological relationship information, the spatial correlation between the tracing target point and the tracing starting point is obtained.

[0206] It should be noted that the spatial correlation may be any one of the first spatial correlation, the second spatial correlation and the third spatial correlation in the above embodiments, or may be the average of the first spatial correlation, the second spatial correlation and the third spatial correlation.

[0207] 2. Based on the water quality characteristic information of the tracing starting point and the tracing target point, the water quality correlation between the tracing target point and the tracing starting point is obtained.

[0208] It should be noted that the water quality correlation can be any one of the first water quality correlation, the second water quality correlation, the third water quality correlation and the fourth water quality correlation in the above embodiments, or it can be the average of the first water quality correlation, the second water quality correlation, the third water quality correlation and the fourth water quality correlation.

[0209] 3. Based on the pollution time series change information of the tracing starting point and the tracing target point, obtain the pollution change correlation between the tracing starting point and the tracing target point. For the method of obtaining the pollution change correlation, please refer to the above-mentioned specific embodiment 9.

[0210] 4. Based on the spatial correlation, the water quality correlation, the pollution change correlation, the first preset weight, the second preset weight and the third preset weight, the comprehensive correlation between the tracing starting point and the tracing target point, the spatial correlation corresponds to the first preset weight, the water quality correlation corresponds to the second preset weight, and the pollution change correlation corresponds to the third preset weight.

[0211] Specifically, comprehensive correlation = spatial correlation * first preset weight + water quality correlation * second preset weight + pollution change correlation * third preset weight. By adopting the above method, the three aspects of space, water quality and pollution change can be better considered to obtain a comprehensive correlation with higher accuracy.

[0212] The first preset weight, the second preset weight and the third preset weight can be set and adjusted according to the actual situation, and the weights set for the two situations of tracing the source of the sewage outlet into the river (tracing the source of sewage discharge into the river based on the section, tracing the source of sewage discharge into the river based on the location of the pollution incident) and tracing the source of the sewage discharge unit (tracing the source of sewage discharge from the sewage discharge unit based on the sewage outlet into the river) can be the same or different. The configuration of the above weights is exemplarily shown in Table 5 below:

[0213] Table 5 Weight configuration table

[0214] Weight Tracing the source of sewage outlets into rivers Pollutant discharge unit traceability First preset weight 0.1 0.2 Second preset weight 0.3 0.3 The third preset weight 0.3 0.2 Weight Total 1 1

[0215] The weight configuration is exemplarily shown in Table 5 above. During the specific implementation, it can be adjusted according to the actual situation and will not be described in detail here.

[0216] In addition, based on the pairwise combination of spatial topological relationship information, water quality characteristic information, and pollution time series change information, the correlation between the tracing starting point and the tracing target point is determined. The principle is the same as the above-mentioned specific embodiment 10, that is, based on any two elements (spatial topological relationship information, water quality characteristic information, and pollution time series change information), the corresponding correlation is obtained. Finally, based on the corresponding preset weights, the final correlation is obtained, which will not be repeated here.

[0217] In the specific implementation process, there are usually the following stages:

[0218] 1. Data preparation. Specifically, before starting to trace the source, it is necessary to prepare cross-section data, river discharge outlet data, discharge unit data, pipe network data, pipe monitoring point data, and catchment area data.

[0219] The cross-section data includes: cross-section basic information (such as cross-section number, etc.), monitoring data, river system GIS data, coordinate information, image information, and information related to the sewage outlet into the river, etc. In addition, it is necessary to establish the upstream and downstream relationship of each cross-section, starting from the most downstream cross-section of the river, and sequentially enter the upstream cross-section closest to the current cross-section, as well as the flow distance from the upstream cross-section to the current cross-section.

[0220] The river discharge outlet data includes: basic information of the river discharge outlet (such as the river discharge outlet number, etc.), monitoring data, coordinate information, image information, and the relevant pipe network of the river discharge outlet (theoretically, the river discharge outlet is the end of the pipe network). At the same time, it is also necessary to determine the association information between the river discharge outlet and the section, as well as the flow time from the river discharge outlet to the section.

[0221] The data of pollutant discharge units include: basic information of the pollutant discharge units (such as the number and name of the pollutant discharge unit), monitoring data, coordinate information, main pollution discharge factors and other information. At the same time, it is also necessary to determine the correlation information between the pollutant discharge unit and the sewage outlet into the river, as well as the flow time from the pollutant discharge unit to the sewage discharge into the river.

[0222] The pipe network data includes: pipe network path information, pipe network flow information, pipe network turbidity information, pipe network conductivity information, etc. The pipe network consists of multiple flow lines with starting points and terminals. For details, please refer to Figure 4 Since the pipeline network data is usually confidential, when there is no data acquisition condition, the topological relationship of the pipeline network can be manually drawn and produced by comparing the pipeline network planning map with the actual situation.

[0223] A water catchment area refers to a surface map of a community (park) connected to a section of pipeline. Multiple sewage discharge units can be calculated from the location information of a water catchment area, and each water catchment area will be associated with one or more flow lines, indicating the pipeline network entrance of the water catchment area. The above data is the water catchment area data.

[0224] 2. Start tracing the source. Specifically, based on the prepared data, the pollution tracing method in the above embodiment is used to trace the source of pollution. The pollution tracing can be divided into three situations: tracing the source from the cross section, tracing the source from the sewage outlet into the river, and tracing the source from the location where the pollution incident occurred.

[0225] When tracing the source from a section, the required parameters include: uniquely identifiable section information (such as section number, etc.), traceability factor (pollution traceability-related information), traceability start time, and traceability end time.

[0226] When tracing the source from the sewage outlet into the river, the necessary parameters include: uniquely identifiable information of the sewage outlet into the river (such as the sewage outlet number, etc.), tracing factor, tracing start time and tracing end time.

[0227] When tracing the source from the location where the pollution incident occurred, the required parameters include: the coordinates of the incident point, the distance to trace the source upwards, the range of the pollution incident buffer zone, the tracing factor, the tracing start time, and the tracing end time.

[0228] The pollution source tracing system provided by the present invention is described below. The pollution source tracing system described below and the pollution source tracing method described above can be referenced to each other.

[0229] Please refer to Figure 7 The pollution tracing system provided in this embodiment includes:

[0230] The information acquisition module 710 is used to acquire pollution tracing related information, and the pollution tracing related information includes at least one of the following: spatial topological relationship information between the tracing starting point and the tracing target point, water quality characteristic information, and pollution time series change information, the tracing starting point and the tracing target point have an associated relationship, and the tracing target point is located upstream of the tracing starting point;

[0231] A correlation analysis module 720 is used to determine the correlation between the tracing starting point and the tracing target point according to the pollution tracing association information;

[0232] The list generation module 730 is used to generate a list of traceability target points based on multiple correlations, and the list of traceability target points includes multiple traceability target points, and the multiple traceability target points are arranged in order of the correlation to complete the pollution tracing. The information acquisition module 710, the correlation analysis module 720 and the list generation module 730 are connected in sequence. The pollution tracing system in this embodiment can better realize automatic pollution tracing, with high traceability efficiency, high accuracy, strong applicability and low cost.

[0233] In some embodiments, the correlation analysis module 720 is specifically used to obtain the first position information of the tracing starting point and the second position information of multiple tracing target points in the spatial topological relationship information;

[0234] Based on the first location information and the second location information, obtaining a target distance between the tracing starting point and the tracing target point;

[0235] Based on the target distance and a preset first mapping relationship, a first spatial correlation between the tracing target point and the tracing starting point is obtained, the target distance is negatively correlated with the first spatial correlation, and the first mapping relationship refers to a mapping relationship between the target distance and the spatial correlation.

[0236] In some embodiments, the correlation analysis module 720 is specifically used to obtain the water flow velocity of the tracing target point, the first position information of the tracing starting point in the spatial topological relationship information, and the second position information of multiple tracing target points;

[0237] Based on the first location information and the second location information, obtaining a target distance between the tracing starting point and the tracing target point;

[0238] Based on the target distance, the water flow velocity and a preset second mapping relationship, a second spatial correlation between the tracing target point and the tracing starting point is obtained, the target distance is negatively correlated with the second spatial correlation, the water flow velocity is positively correlated with the second spatial correlation, and the second mapping relationship refers to a mapping relationship between a target array and spatial correlation, and the target array includes the target distance and the water flow velocity.

[0239] In some embodiments, if the tracing starting point is a sewage outlet into a river, and the tracing target point is a sewage discharge unit, the correlation analysis module 720 is specifically used to obtain the pipe network path information in the spatial topological relationship information;

[0240] Based on the pipe network path information, the path length from the river discharge outlet to the sewage discharge unit is obtained;

[0241] Based on the path length and a preset third mapping relationship, a third spatial correlation between the discharge unit and the sewage outlet into the river is obtained, and the path length is negatively correlated with the third spatial correlation. The third mapping relationship refers to the mapping relationship between the path length and the spatial correlation.

[0242] In some embodiments, the correlation analysis module 720 is specifically used to obtain a first component spectrum of the target pollution factor at the tracing starting point in the water quality characteristic information, and a second component spectrum of the target pollution factor at multiple tracing target points;

[0243] Matching the first group of spectra with each of the second group of spectra respectively to obtain a first matching degree between the first group of spectra and the second group of spectra;

[0244] Based on the first matching degree and the preset fourth mapping relationship, a first water quality correlation between the tracing starting point and the tracing target point is obtained, the first matching degree is positively correlated with the first water quality correlation, and the fourth mapping relationship refers to the mapping relationship between the matching degree and the water quality correlation.

[0245] In some embodiments, the correlation analysis module 720 is specifically used to obtain the first water quality category of the tracing starting point, the second water quality category of the plurality of tracing target points, the first component spectrum of the target pollution factor of the tracing starting point, and the second component spectrum of the target pollution factor of the plurality of tracing target points in the water quality characteristic information;

[0246] Based on the first water quality category and the second water quality category, a plurality of the tracing target points are screened to obtain suspected target points, where the suspected target points are tracing target points with the same water quality category as the tracing starting point;

[0247] Determine the second group spectrum of the target contamination factor of the suspected target point as the third group spectrum;

[0248] Matching the first group of spectra with the plurality of the third group of spectra respectively to obtain a second matching degree between the first group of spectra and the third group of spectra;

[0249] Based on the second matching degree and the fourth mapping relationship, the second water quality correlation between the tracing starting point and the suspected target point is obtained, the second matching degree is positively correlated with the second water quality correlation, and the fourth mapping relationship refers to the mapping relationship between the matching degree and the water quality correlation.

[0250] In some embodiments, the correlation analysis module 720 is specifically used to obtain the pipe network turbidity information and pipe network conductivity information in the water quality characteristic information;

[0251] Based on the pipe network flow information, the flow change rate of each pipe network within the target time period is obtained; the pipe network refers to the flow channel between the sewage discharge unit and the sewage outlet into the river, and the pipe network has an associated relationship with the sewage discharge unit;

[0252] Determine a first category of the pipe network based on the flow rate change rate and a preset first classification rule, wherein the first classification rule includes a plurality of flow rate change rate intervals, and each of the flow rate change rate intervals corresponds to a corresponding category;

[0253] Determine a second category of the pipe network based on the pipe network turbidity information and a preset second classification rule, wherein the second classification rule includes a plurality of turbidity intervals, each of the turbidity intervals corresponding to a corresponding category;

[0254] Determining a third category of the pipe network based on the pipe network conductivity and a preset third classification rule, wherein the third classification rule includes a plurality of conductivity intervals, each of the conductivity intervals corresponding to a corresponding category;

[0255] Determine a combination of the first category, the second category, and the third category of the pipeline network as a target combination;

[0256] Based on the target combination and a preset fifth mapping relationship, a pipe network suspicion degree is obtained, wherein the fifth mapping relationship refers to a mapping relationship between the target combination and the pipe network suspicion degree, and the pipe network suspicion degree corresponds to the sewage discharge unit one by one;

[0257] The pipe network suspicion degree is determined as the third water quality correlation between the sewage outlet into the river and the corresponding sewage discharge unit.

[0258] In some embodiments, the correlation analysis module 720 is specifically used to obtain a first concentration set of target water quality factors at the tracing starting point within the target time period in the water quality characteristic information, and a second concentration set of target water quality factors at the tracing target point within the target time period;

[0259] Based on the first concentration set, a first concentration mean value of the target water quality factor at the tracing starting point is obtained;

[0260] Based on the second concentration set, a second concentration mean of the target water quality factor of the tracing target point is obtained;

[0261] determining a difference between the second concentration mean and the first concentration mean as a target difference;

[0262] Based on at least one of the second concentration mean value and the target difference value, scoring the suspicion degree of the traceability target point to obtain the target suspicion degree of each traceability target point, wherein the second concentration mean value and the target difference value are both positively correlated with the target suspicion degree;

[0263] The target suspicion degree is determined as a fourth water quality correlation degree between the tracing starting point and the suspected target point.

[0264] In some embodiments, the pollution time series change information includes: first pollution factor information of the tracing starting point within the target time period, and second pollution factor information of the tracing target point within the target time period.

[0265] In some embodiments, the correlation analysis module 720 is specifically used to compare the temporal changes of the pollution factor components in the first pollution factor information with the temporal changes of the pollution factor components in the second pollution factor information to obtain the target similarity;

[0266] The target similarity is determined as the pollution change correlation between the tracing starting point and the tracing target point.

[0267] In some embodiments, the correlation analysis module 720 is specifically used to obtain the spatial correlation between the tracing target point and the tracing starting point according to the spatial topological relationship information;

[0268] Based on the water quality characteristic information of the tracing starting point and the tracing target point, obtaining the water quality correlation between the tracing target point and the tracing starting point;

[0269] Based on the pollution time series change information of the tracing starting point and the tracing target point, obtaining the pollution change correlation between the tracing starting point and the tracing target point;

[0270] Based on the spatial correlation, the water quality correlation, the pollution change correlation, the first preset weight, the second preset weight and the third preset weight, the comprehensive correlation between the tracing starting point and the tracing target point, the spatial correlation corresponds to the first preset weight, the water quality correlation corresponds to the second preset weight, and the pollution change correlation corresponds to the third preset weight.

[0271] In some embodiments, an electronic device is also provided, which may be a server, and its internal structure is shown in FIG. Figure 8 As shown. The electronic device includes a processor, a memory, a network interface and a database connected via a system bus. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile and / or volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the electronic device is used to communicate with an external client via a network connection. When the computer program is executed by the processor, the functions or steps on the server side of the above method are implemented.

[0272] In some embodiments, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented: obtaining pollution tracing association information, the pollution tracing association information including at least one of the following: spatial topological relationship information between the tracing starting point and the tracing target point, water quality characteristic information, and pollution time series change information, the tracing starting point and the tracing target point having an association relationship, and the tracing target point being located upstream of the tracing starting point; determining the correlation between the tracing starting point and the tracing target point based on the pollution tracing association information; generating a tracing target point list based on multiple correlations, the tracing target point list including multiple tracing target points, and the multiple tracing target points being arranged in order of high to low correlations to complete pollution tracing.

[0273] In some embodiments, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: obtaining pollution tracing association information, the pollution tracing association information includes at least one of the following: spatial topological relationship information, water quality characteristic information and pollution time series change information between the tracing starting point and the tracing target point, the tracing starting point and the tracing target point have an association relationship, and the tracing target point is located upstream of the tracing starting point; determining the correlation between the tracing starting point and the tracing target point based on the pollution tracing association information; generating a tracing target point list based on multiple correlations, the tracing target point list includes multiple tracing target points, and the multiple tracing target points are arranged in order of high and low correlations to complete pollution tracing.

[0274] It should be noted that the above functions or steps that can be implemented by the computer-readable storage medium or electronic device can refer to the relevant descriptions on the server side and the client side in the aforementioned method embodiment. To avoid repetition, they will not be described one by one here.

[0275] The flow chart and block diagram in the accompanying drawings illustrate the possible implementation architecture, function and operation of the method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0276] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A method for tracing the source of pollution, characterized in that: include: Acquire pollution source tracing association information, the pollution source tracing association information includes at least one of the following: spatial topological relationship information between the tracing starting point and the tracing target point, water quality characteristic information, and pollution time series change information, the tracing starting point and the tracing target point have an association relationship, and the tracing target point is located upstream of the tracing starting point; Determine the correlation between the tracing starting point and the tracing target point according to the pollution tracing association information; Based on the multiple correlations, a tracing target point list is generated, the tracing target point list includes the multiple tracing target points, and the multiple tracing target points are arranged in order of the correlations to complete the pollution tracing.

2. The method for tracing the source of pollution according to claim 1, characterized in that: The step of determining the correlation between the tracing starting point and the tracing target point according to the spatial topological relationship between the tracing starting point and the tracing target point comprises: Acquire first position information of a tracing starting point and second position information of multiple tracing target points in the spatial topological relationship information; Based on the first location information and the second location information, obtaining a target distance between the tracing starting point and the tracing target point; Based on the target distance and a preset first mapping relationship, a first spatial correlation between the tracing target point and the tracing starting point is obtained, the target distance is negatively correlated with the first spatial correlation, and the first mapping relationship refers to a mapping relationship between the target distance and the spatial correlation.

3. The method for tracing the source of pollution according to claim 1, characterized in that: The step of determining the correlation between the tracing starting point and the tracing target point according to the spatial topological relationship between the tracing starting point and the tracing target point comprises: Acquire the water flow velocity of the tracing target point, the first position information of the tracing starting point in the spatial topological relationship information, and the second position information of multiple tracing target points; Based on the first location information and the second location information, obtaining a target distance between the tracing starting point and the tracing target point; Based on the target distance, the water flow velocity and a preset second mapping relationship, a second spatial correlation between the tracing target point and the tracing starting point is obtained, the target distance is negatively correlated with the second spatial correlation, the water flow velocity is positively correlated with the second spatial correlation, and the second mapping relationship refers to a mapping relationship between a target array and spatial correlation, and the target array includes the target distance and the water flow velocity.

4. The method for tracing the source of pollution according to claim 1, characterized in that: If the tracing starting point is a sewage outlet into a river, and the tracing target point is a sewage discharge unit, then according to the spatial topological relationship between the tracing starting point and the tracing target point, the step of determining the correlation between the tracing starting point and the tracing target point comprises: Obtaining the pipe network path information in the spatial topological relationship information; Based on the pipe network path information, the path length from the river discharge outlet to the sewage discharge unit is obtained; Based on the path length and a preset third mapping relationship, a third spatial correlation between the discharge unit and the sewage outlet into the river is obtained, and the path length is negatively correlated with the third spatial correlation. The third mapping relationship refers to the mapping relationship between the path length and the spatial correlation.

5. The method for tracing the source of pollution according to claim 1, characterized in that: The step of determining the correlation between the tracing starting point and the tracing target point according to the water quality characteristic information of the tracing starting point and the tracing target point comprises: Acquire a first group spectrum of target pollution factors at a tracing starting point in the water quality characteristic information, and a second group spectrum of the target pollution factors at multiple tracing target points; Matching the first group of spectra with each of the second group of spectra respectively to obtain a first matching degree between the first group of spectra and the second group of spectra; Based on the first matching degree and the preset fourth mapping relationship, a first water quality correlation between the tracing starting point and the tracing target point is obtained, the first matching degree is positively correlated with the first water quality correlation, and the fourth mapping relationship refers to the mapping relationship between the matching degree and the water quality correlation.

6. The method for tracing the source of pollution according to claim 1, characterized in that: The step of determining the correlation between the tracing starting point and the tracing target point according to the water quality characteristic information of the tracing starting point and the tracing target point comprises: Obtaining the first water quality category of the tracing starting point, the second water quality category of the plurality of tracing target points, the first group spectrum of the target pollution factor of the tracing starting point, and the second group spectrum of the target pollution factor of the plurality of tracing target points in the water quality characteristic information; Based on the first water quality category and the second water quality category, a plurality of the tracing target points are screened to obtain suspected target points, where the suspected target points are tracing target points with the same water quality category as the tracing starting point; Determining the second group spectrum of the target contamination factor of the suspected target point as the third group spectrum; Matching the first group of spectra with the plurality of the third group of spectra respectively to obtain a second matching degree between the first group of spectra and the third group of spectra; Based on the second matching degree and the fourth mapping relationship, the second water quality correlation between the tracing starting point and the suspected target point is obtained, the second matching degree is positively correlated with the second water quality correlation, and the fourth mapping relationship refers to the mapping relationship between the matching degree and the water quality correlation.

7. The method for tracing the source of pollution according to claim 1, characterized in that: When the tracing starting point is a sewage outlet into a river, and the tracing target point is a sewage discharge unit, the sewage discharge tracing associated information also includes pipe network flow information; The step of determining the correlation between the tracing starting point and the tracing target point according to the water quality characteristic information of the tracing starting point and the tracing target point comprises: Obtaining pipe network turbidity information and pipe network conductivity information from the water quality characteristic information; Based on the pipe network flow information, the flow change rate of each pipe network within the target time period is obtained; the pipe network refers to the flow channel between the sewage discharge unit and the sewage outlet into the river, and the pipe network has an associated relationship with the sewage discharge unit; Determine a first category of the pipe network based on the flow rate change rate and a preset first classification rule, wherein the first classification rule includes a plurality of flow rate change rate intervals, and each of the flow rate change rate intervals corresponds to a corresponding category; Determine a second category of the pipe network based on the pipe network turbidity information and a preset second classification rule, wherein the second classification rule includes a plurality of turbidity intervals, each of the turbidity intervals corresponding to a corresponding category; Determining a third category of the pipe network based on the pipe network conductivity and a preset third classification rule, wherein the third classification rule includes a plurality of conductivity intervals, each of the conductivity intervals corresponding to a corresponding category; Determine a combination of the first category, the second category, and the third category of the pipeline network as a target combination; Based on the target combination and a preset fifth mapping relationship, a pipe network suspicion degree is obtained, wherein the fifth mapping relationship refers to a mapping relationship between the target combination and the pipe network suspicion degree, and the pipe network suspicion degree corresponds to the sewage discharge unit one by one; The pipe network suspicion degree is determined as the third water quality correlation between the sewage outlet into the river and the corresponding sewage discharge unit.

8. The method for tracing the source of pollution according to claim 1, characterized in that: The step of determining the correlation between the tracing starting point and the tracing target point according to the water quality characteristic information of the tracing starting point and the tracing target point comprises: Obtaining a first concentration set of target water quality factors at the tracing starting point within the target time period and a second concentration set of target water quality factors at the tracing target point within the target time period in the water quality characteristic information; Based on the first concentration set, a first concentration mean value of the target water quality factor at the tracing starting point is obtained; Based on the second concentration set, obtaining a second concentration mean of the target water quality factor of the tracing target point; determining a difference between the second concentration mean and the first concentration mean as a target difference; Based on at least one of the second concentration mean value and the target difference value, scoring the suspicion degree of the traceability target point to obtain the target suspicion degree of each traceability target point, wherein the second concentration mean value and the target difference value are both positively correlated with the target suspicion degree; The target suspicion degree is determined as a fourth water quality correlation degree between the tracing starting point and the suspected target point.

9. The method for tracing the source of pollution according to claim 1, characterized in that: The pollution time series change information includes: first pollution factor information of the tracing starting point within the target time period, and second pollution factor information of the tracing target point within the target time period; The step of determining the correlation between the tracing starting point and the tracing target point according to the pollution time series change information includes: Comparing the time series change of the pollution factor components in the first pollution factor information with the time series change of the pollution factor components in the second pollution factor information to obtain a target similarity; The target similarity is determined as the pollution change correlation between the tracing starting point and the tracing target point.

10. The method for tracing the source of pollution according to claim 1, characterized in that: The step of determining the correlation between the tracing starting point and the tracing target point according to the spatial topological relationship information, water quality characteristic information and pollution time series change information of the tracing starting point and the tracing target point comprises: According to the spatial topological relationship information, the spatial correlation between the tracing target point and the tracing starting point is obtained; Based on the water quality characteristic information of the tracing starting point and the tracing target point, obtaining the water quality correlation between the tracing target point and the tracing starting point; Based on the pollution time series change information of the tracing starting point and the tracing target point, obtaining the pollution change correlation between the tracing starting point and the tracing target point; Based on the spatial correlation, the water quality correlation, the pollution change correlation, the first preset weight, the second preset weight and the third preset weight, the comprehensive correlation between the tracing starting point and the tracing target point, the spatial correlation corresponds to the first preset weight, the water quality correlation corresponds to the second preset weight, and the pollution change correlation corresponds to the third preset weight.

11. A sewage tracing system, characterized in that: include: An information acquisition module is used to acquire pollution tracing related information, wherein the pollution tracing related information includes at least one of the following: spatial topological relationship information between the tracing starting point and the tracing target point, water quality characteristic information, and pollution time series change information, wherein the tracing starting point and the tracing target point have an associated relationship, and the tracing target point is located upstream of the tracing starting point; A correlation analysis module, used to determine the correlation between the tracing starting point and the tracing target point according to the pollution tracing association information; The list generation module is used to generate a tracing target point list based on multiple relevances, wherein the tracing target point list includes multiple tracing target points, and the multiple tracing target points are arranged in order of the relevances to complete pollution tracing.

12. An electronic device, characterized in that: It comprises a processor, a memory and a communication bus; the communication bus is used to connect the processor and the memory; the processor is used to execute the computer program stored in the memory to implement the pollution tracing method as described in any one of claims 1 to 10.

13. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and the computer program is used to enable a computer to execute the pollution source tracing method as described in any one of claims 1 to 10.

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