A method and device for analyzing the effect of system governance of urban water environment

Abstract

The present application provides a method and device for analyzing the effects of system governance of urban water environment, and relates to the technical field of water environment governance. The method includes: reading a first dimension set from a storage device; selecting a second dimension from the first dimension set to form a second dimension set according to the test probability of each first dimension and the correlation between the analysis results of each two first dimensions; determining the comprehensive effectiveness of the second dimension set, and determining the stability of the second dimension set; when the comprehensive effectiveness is greater than or equal to a preset effective threshold and the stability is greater than or equal to a preset stability threshold, analyzing the effects of system governance of the urban water environment according to the second dimension set to obtain the results of the governance effect analysis; and displaying the results of the analysis of the effects of system governance of the urban water environment. The method of the present application solves the problem of how to objectively, scientifically and accurately analyze the effects of system governance of the urban water environment.

Description

Technical Field

[0001] The present application relates to the technical field of water environment management, and in particular to a method and device for analyzing the effects of system management of urban water environment. Background Art

[0002] my country's urban water environment governance has gradually entered a stage of systematic governance that coordinates water resources, water environment, and water ecology (referred to as "three waters"), involving multiple factors such as pollution sources, drainage networks, sewage treatment plants, rivers, lakes, and coastal areas. Its governance is characterized by complexity, systematicity, and comprehensiveness.

[0003] At present, there are analytical methods for the governance effects of some elements such as sewage treatment plants, drainage facilities, rivers and lakes, but there is a lack of a set of analytical methods covering the governance effects of water resources, water environment and water ecology. At the same time, the current element analysis system has the problems of strong subjectivity, weak logical correlation and large deviation of system cognition, which makes it difficult to objectively, scientifically and accurately reflect the level and shortcomings of urban water environment system governance.

[0004] Based on this, how to objectively, scientifically and accurately analyze the system governance effect of the urban water environment is a problem that the present invention urgently needs to solve. Summary of the invention

[0005] The present application provides a method and device for analyzing the effects of system governance of urban water environment, so as to solve the problem of how to objectively, scientifically and accurately analyze the effects of system governance of urban water environment.

[0006] In a first aspect, the present application provides a method for analyzing the effect of system governance of urban water environment, the method comprising:

[0007] Reading a first dimension set from a storage device, wherein the first dimension set includes a plurality of first dimensions for analyzing a system governance effect of an urban water environment;

[0008] According to the analysis results of each first dimension for multiple cities, the test probability of each first dimension is determined, and the correlation between the analysis results of each two first dimensions is determined, and according to the test probability of each first dimension and the correlation between the analysis results of each two first dimensions, the second dimension is selected from the first dimension set to form a second dimension set;

[0009] Determining the comprehensive effectiveness of the second dimension set according to the preset analysis effect values ​​of each second dimension, and determining the stability of the second dimension set according to the similarity between the analysis effect values ​​of each second dimension and the target effect value;

[0010] When the comprehensive effectiveness is greater than or equal to the preset effectiveness threshold and the stability is greater than or equal to the preset stability threshold, the system governance effect of the urban water environment is analyzed according to the second dimension set to obtain the governance effect analysis result;

[0011] Displays the results of the analysis of the system governance effect of the urban water environment.

[0012] Optionally, according to the analysis results of each first dimension for multiple cities, the test probability of each first dimension is determined, including:

[0013] For each first dimension, determine the analysis results of the first dimension for multiple cities;

[0014] For each first dimension, the test probability of the first dimension is determined according to the analysis results of the first dimension corresponding to multiple cities, and the test probability of the first dimension is positively correlated with the analysis results of the first dimension corresponding to multiple cities.

[0015] Optionally, determine the correlation between each two analysis results of the first dimension, including:

[0016] For each first dimension, the average of the analysis results of the first dimension corresponding to multiple cities is taken as the average analysis result of each first dimension;

[0017] For any two first dimensions, the analysis results of multiple cities corresponding to the two first dimensions and the average analysis results of the two first dimensions are input into the Pearson correlation model to obtain the correlation between the analysis results of the two first dimensions.

[0018] Optionally, according to the inspection probability of each first dimension and the correlation between the analysis results of every two first dimensions, the second dimension is selected from the first dimension set to form a second dimension set, including:

[0019] Filter out first dimensions whose inspection probabilities are less than preset inspection probabilities from the first dimension set, and obtain a second dimension set consisting of at least one second dimension;

[0020] In the second dimension set, one of every two second dimensions whose correlation degree is greater than or equal to the preset correlation degree is deleted.

[0021] Optionally, determining the comprehensive effectiveness of the second dimension set according to the preset analysis effect value of each second dimension includes:

[0022] For each second dimension, determining an average analysis effect value of the second dimension according to a plurality of analysis effect values ​​corresponding to the second dimension;

[0023] For each second dimension, determining the effectiveness of the second dimension according to a plurality of analysis effect values ​​corresponding to the second dimension and an average analysis effect value of the second dimension;

[0024] The comprehensive effectiveness of the second dimension set is determined according to the effectiveness of each second dimension in the second dimension set.

[0025] Optionally, determining the stability of the second dimension set according to the similarity between the analysis effect value of each second dimension and the target effect value includes:

[0026] For each second dimension, the average analysis effect size of the second dimension was used as the target effect size;

[0027] The stability of the second dimension set is determined according to the similarity between the analysis effect value corresponding to each second dimension and the target effect value of each second dimension.

[0028] Optionally, after determining the comprehensive effectiveness of the second dimension set according to the preset analysis effect values ​​of each second dimension, and determining the stability of the second dimension set according to the similarity between the analysis effect values ​​of each second dimension and the target effect value, the method further includes:

[0029] When the comprehensive effectiveness level is less than the preset effectiveness threshold and / or the stability level is less than the preset stability threshold, return to the step of reading the first dimension set from the storage device.

[0030] Optionally, when the comprehensive effectiveness is greater than or equal to a preset effectiveness threshold and the stability is greater than or equal to a preset stability threshold, the system governance effect of the urban water environment is analyzed according to the second dimension set. Before obtaining the governance effect analysis result, the method further includes:

[0031] Acquire a plurality of difficulty factors corresponding to each second dimension of the second dimension set, where the difficulty factor is used to indicate the analysis difficulty of the second dimension;

[0032] For each second dimension, after deleting the maximum value and the minimum value in the multiple difficulty factors corresponding to the second dimension, the average difficulty factor of the second dimension set is determined according to the average value of the multiple difficulty factors of each second dimension;

[0033] When the average difficulty factor of the second dimension set is greater than a preset difficulty factor threshold, the analysis strategy of each second dimension of the second dimension set is adjusted.

[0034] In a second aspect, the present application provides a system governance effect analysis device for an urban water environment, the device comprising:

[0035] A reading module, used for reading a first dimension set from a storage device, wherein the first dimension set includes a plurality of first dimensions for analyzing a system governance effect of an urban water environment;

[0036] A screening module is used to determine the test probability of each first dimension according to the analysis results of each first dimension for multiple cities, and to determine the correlation between the analysis results of each two first dimensions, and to screen out the second dimension from the first dimension set according to the test probability of each first dimension and the correlation between the analysis results of each two first dimensions to form a second dimension set;

[0037] A determination module, used to determine the comprehensive effectiveness of the second dimension set according to the preset analysis effect value of each second dimension, and to determine the stability of the second dimension set according to the similarity between the analysis effect value of each second dimension and the target effect value;

[0038] An analysis module is used to analyze the system governance effect of the urban water environment according to the second dimension set to obtain a governance effect analysis result when the comprehensive effectiveness is greater than or equal to a preset effectiveness threshold and the stability is greater than or equal to a preset stability threshold;

[0039] The display module is used to display the results of the analysis of the system governance effect of the urban water environment.

[0040] In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0041] Memory stores computer-executable instructions;

[0042] When the processor executes the computer execution instructions stored in the memory, it is used to implement a method for analyzing the system governance effect of an urban water environment according to the first aspect of the invention.

[0043] In a fourth aspect, the present application provides a computer-readable storage medium, which stores computer execution instructions. When the computer execution instructions are executed by a processor, they are used to implement a method for analyzing the system governance effects of an urban water environment according to the invention content of the first aspect.

[0044] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, is used to implement a method for analyzing the effects of systematic governance of an urban water environment according to the invention content of the first aspect.

[0045] The present application provides a method and device for analyzing the system governance effect of an urban water environment, comprising: reading a first dimension set from a storage device, wherein the first dimension set includes multiple first dimensions for analyzing the system governance effect of the urban water environment; determining the test probability of each first dimension according to the analysis results of each first dimension for multiple cities, and determining the correlation between the analysis results of each two first dimensions, and screening out a second dimension from the first dimension set according to the test probability of each first dimension and the correlation between the analysis results of each two first dimensions to form a second dimension set; determining the comprehensive effectiveness of the second dimension set according to the preset analysis effect value of each second dimension, and determining the stability of the second dimension set according to the similarity between the analysis effect value of each second dimension and the target effect value; when the comprehensive effectiveness is greater than or equal to the preset effectiveness threshold and the stability is greater than or equal to the preset stability threshold, analyzing the system governance effect of the urban water environment according to the second dimension set to obtain a governance effect analysis result; and displaying the system governance effect analysis result of the urban water environment. This application constructs a method for analyzing the effects of systematic governance of urban water environment by using test probability and correlation degree to screen multiple dimensions for analyzing the effects of systematic governance of urban water environment, and solves the problem of how to objectively, scientifically and accurately analyze the effects of systematic governance of urban water environment; by determining the comprehensive effectiveness and stability of the second dimension set, the effectiveness and stability of the analysis of the effects of systematic governance of urban water environment are ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0047] Figure 1 A schematic diagram of a method for analyzing the effect of system governance of urban water environment provided in the embodiment of the present application Figure 1 ;

[0048] Figure 2 A schematic diagram of a method for analyzing the effect of system governance of urban water environment provided in the embodiment of the present application Figure 2 ;

[0049] Figure 3 A schematic diagram of the structure of a system governance effect analysis device for an urban water environment provided in an embodiment of the present application;

[0050] Figure 4 A schematic diagram of the structure of the electronic device hardware provided in an embodiment of the present application.

[0051] Reference numerals:

[0052] 400-Systematic governance effect analysis device for urban water environment;

[0053] 410 - reading module; 420 - screening module; 430 - determination module; 440 - analysis module; 450 - display module;

[0054] 500 - electronic device; 510 - processor; 520 - memory; 530 - communication component; 540 - bus. DETAILED DESCRIPTION

[0055] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0056] In the embodiments of the present application, words such as "first" and "second" are used to distinguish between identical or similar items with substantially the same functions and effects. Those skilled in the art will understand that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit the difference. It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or design. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way. In the embodiments of the present application, "at least one" refers to one or more, and "more" refers to two or more.

[0057] It should be noted that the "at..." in the embodiments of the present application can be the instant when a certain situation occurs, or it can be a period of time after a certain situation occurs, and the embodiments of the present application do not specifically limit this. In addition, the method for analyzing the system governance effect of an urban water environment provided in the embodiments of the present application is only used as an example, and the method for analyzing the system governance effect of an urban water environment can also include more or less content.

[0058] The existing technology has analysis methods for the governance effects of some elements such as sewage treatment plants, drainage facilities, rivers and lakes, but lacks a set of analysis methods covering the governance effects of water resources, water environment and water ecology. At the same time, the current element analysis system has the problems of strong subjectivity, weak logical correlation and large deviation of system cognition, which makes it difficult to objectively, scientifically and accurately reflect the level and shortcomings of urban water environment system governance.

[0059] The embodiments of the present application provide a method and device for analyzing the effects of system governance of an urban water environment, which can be used in the field of water environment governance technology and aims to solve the above technical problems of the prior art.

[0060] Figure 1 A schematic diagram of a method for analyzing the effect of system governance of urban water environment provided in the embodiment of the present application Figure 1 .like Figure 1 As shown, the method includes:

[0061] S101. Read a first dimension set from a storage device.

[0062] Specifically, the first dimension set includes multiple first dimensions for analyzing the system governance effect of the urban water environment, and each dimension is an indicator for analyzing the system governance effect of the urban water environment, such as the compliance rate of urban flood control projects, the compliance area of ​​urban drainage, etc. Storage devices are devices for storing information, such as mobile hard disks or databases.

[0063] By using the reference method and network structure analysis method, multiple first dimensions related to "water resources", "water environment" and "water ecology" are screened out from the literature database, a first dimension set is formed and stored, and the first dimension set is read from the storage device.

[0064] S102. Determine the test probability of each first dimension and the correlation between the analysis results of each two first dimensions based on the analysis results of each first dimension for multiple cities, and select the second dimension from the first dimension set based on the test probability of each first dimension and the correlation between the analysis results of each two first dimensions to form a second dimension set.

[0065] Specifically, the analysis result of each first dimension on a city can be expressed in numerical values, and each first dimension corresponds to a formula, through which the analysis result of the first dimension on a city can be calculated. For example, the compliance rate of urban flood control projects can be calculated by the urban drainage compliance area ÷ the total area of ​​the area with clear drainage tasks and targets × 100%.

[0066] The test probability is used to indicate the significance level of the corresponding dimension, that is, the degree of influence of the first dimension on the systematic governance effect of the urban water environment, and the correlation degree is used to indicate the correlation between the two dimensions. According to each first dimension in the first dimension set, multiple cities are analyzed to obtain multiple analysis results of different dimensions for each city, where the multiple cities can be ten cities or other values. Input the analysis results, and determine the test probability of each dimension through hypothesis testing. The hypothesis test can use Z test, chi-square test, Wald test, etc. The degree of correlation can be expressed by a correlation coefficient, such as Pearson correlation coefficient and Spearman correlation coefficient. Input the analysis results, and obtain the degree of correlation through correlation analysis. The degree of correlation is associated with the similarity of the analysis results of each two first dimensions for multiple cities.

[0067] The above-mentioned second dimension includes: a first dimension whose inspection probability is greater than or equal to a preset inspection probability, and two of every two first dimensions whose correlation degree is less than a preset correlation degree, and one of every two first dimensions whose inspection probability is higher than a preset correlation degree.

[0068] S103, determining the comprehensive effectiveness of the second dimension set according to the preset analysis effect value of each second dimension, and determining the stability of the second dimension set according to the similarity between the analysis effect value of each second dimension and the target effect value.

[0069] Specifically, the analysis effect value is a numerical value set by experts to indicate the analysis effect of using the second dimension for analysis. The effectiveness is used to measure the degree of deviation of the expert's cognition of the second dimension. The greater the deviation, the analysis using the second dimension cannot truly reflect the current status of the governance effect, and the smaller the effectiveness. The comprehensive effectiveness is used to indicate the effectiveness of the second dimension set. The target effect value refers to the ideal value of the analysis effect value. The stability is used to indicate the stability of the analysis results obtained by analyzing the system governance effect of the urban water environment according to the second dimension set. The effectiveness of each second dimension is determined according to the difference between each analysis effect value of the second dimension, and then the comprehensive effectiveness of the second dimension set is determined. The greater the difference between each analysis effect value of the second dimension, the analysis system cannot truly reflect the current status of the governance effect, and the comprehensive effectiveness is smaller. Determine the similarity between the analysis effect value of each second dimension and the corresponding target effect value to determine the stability of the second dimension set. The greater the similarity, the closer to the target effect value, and the better the stability of the second dimension set, and then determine the stability of the second dimension set.

[0070] S104. When the comprehensive effectiveness is greater than or equal to the preset effectiveness threshold and the stability is greater than or equal to the preset stability threshold, the system governance effect of the urban water environment is analyzed according to the second dimension set to obtain the governance effect analysis result.

[0071] Specifically, the preset effective threshold and the preset stable threshold can be set according to the actual situation. The preset effective threshold ensures that each dimension has a certain significance, while avoiding the lack of representativeness of the remaining dimensions due to too strict conditions. The preset stable threshold ensures that the dimensions with relatively large correlation can be deleted, while avoiding the situation where the analysis system is redundant due to too broad conditions. When the comprehensive effectiveness and stability meet the conditions, the urban water environment governance effect is quantitatively calculated according to the evaluation content and method of each dimension in the second dimension set to obtain the governance effect analysis result. The governance effect analysis result may include the analysis result of each second dimension on the urban water environment, and / or the comprehensive calculation result of the analysis results of all second dimensions on the urban water environment. Among them, the comprehensive calculation result can be a calculated value after processing the analysis results of all second dimensions, for example, an average value, a weighted cumulative value.

[0072] S105. Display the results of the analysis of the system governance effect of the urban water environment.

[0073] Specifically, the analysis of the water environment governance effect of the city in various dimensions can be displayed in the form of charts, and can also be compared with the analysis results of cities with leading water environment governance levels, and the comprehensive analysis can be directly displayed based on the difference. For example, if the difference in the analysis results is less than 10%, it is considered that the governance effect is good; if the difference in the analysis results is 10%~20%, it is considered that the governance effect is good; if the difference in the analysis results is 20%~30%, it is considered that the governance is poor; if the difference in the analysis results is greater than 30%, it is considered that the governance effect is poor.

[0074] The present application provides a method for analyzing the system governance effect of an urban water environment, comprising: reading a first dimension set from a storage device, wherein the first dimension set includes multiple first dimensions for analyzing the system governance effect of the urban water environment; determining the test probability of each first dimension according to the analysis results of each first dimension for multiple cities, and determining the correlation between the analysis results of each two first dimensions, and selecting a second dimension from the first dimension set according to the test probability of each first dimension and the correlation between the analysis results of each two first dimensions to form a second dimension set; determining the comprehensive effectiveness of the second dimension set according to the preset analysis effect value of each second dimension, and determining the stability of the second dimension set according to the similarity between the analysis effect value of each second dimension and the target effect value; when the comprehensive effectiveness is greater than or equal to the preset effectiveness threshold and the stability is greater than or equal to the preset stability threshold, analyzing the system governance effect of the urban water environment according to the second dimension set to obtain a governance effect analysis result; and displaying the system governance effect analysis result of the urban water environment. This application constructs a method for analyzing the effects of systematic governance of urban water environment by using test probability and correlation degree to screen multiple dimensions for analyzing the effects of systematic governance of urban water environment, and solves the problem of how to objectively, scientifically and accurately analyze the effects of systematic governance of urban water environment; by determining the comprehensive effectiveness and stability of the second dimension set, the effectiveness and stability of the analysis of the effects of systematic governance of urban water environment are ensured.

[0075] Figure 2 A schematic diagram of a method for analyzing the effect of system governance of urban water environment provided in the embodiment of the present application Figure 2 In this embodiment Figure 1 Based on the examples, the method for analyzing the effect of system governance of urban water environment is described in detail. Figure 2 As shown, the method includes:

[0076] S201. Read a first dimension set from a storage device.

[0077] S201 is similar to S101 and will not be described in detail in this embodiment.

[0078] S202. For each first dimension, determine the analysis results of the first dimension for multiple cities; for each first dimension, determine the test probability of the first dimension according to the analysis results corresponding to the first dimension for multiple cities; for each first dimension, take the average of the analysis results corresponding to the first dimension for multiple cities as the average analysis result of each first dimension; for any two first dimensions, input the analysis results corresponding to the multiple cities of the two first dimensions and the average analysis results of the two first dimensions into the Pearson correlation model to obtain the correlation between the analysis results of the two first dimensions; filter out the first dimensions whose test probability is less than the preset test probability from the first dimension set, and obtain a second dimension set consisting of at least one second dimension; delete one of every two second dimensions in the second dimension set whose correlation is greater than or equal to the preset correlation.

[0079] Specifically, the Wald test can be used for the first screening to screen out the dimensions that can significantly distinguish the effects of urban water environment governance. First, assume that β i =0, which means that the i-th first dimension has no significant impact on the analysis of the system governance effect of the urban water environment. The Wald value is calculated using formula (1), and the specific formula is as follows:

[0080] (1)

[0081] Where: W i is the Wald value of the first dimension of the i-th dimension, β i is the estimated value of the logistic regression coefficient of the first dimension of the i-th dimension, S i is the standard deviation of the Logistic regression coefficient of the first dimension of the i-th dimension, where the Logistic regression model is shown in formula (2):

[0082] (2)

[0083] Where: p i is the test probability of the first dimension of the i-th dimension, β 0 is a constant, and the independent variable X ik is the analysis result of the water environment governance effect of the kth city in the ith first dimension, and n represents the number of cities, which can be 10 here.

[0084] Before calculating the Wald value, select multiple cities with known analysis results of the above dimensions, and then import the analysis results and other data into analysis software such as Statistical Product and Service Solutions (SPSS) software. Through the binary logistic regression program, the regression coefficient and standard deviation (S i), Wald value and the test probability corresponding to the Wald value (p i ). The test probability p corresponding to the Wald value of each dimension i , compared with the preset test probability, the preset test probability can be p 0 , which can be preset to 0.10, retaining the test probability below p 0 The preset test probability is set according to the actual situation. The setting of 0.10 can make the retained dimensions have a certain significance, while avoiding the lack of representativeness of the remaining dimensions due to too strict conditions.

[0085] The correlation degree is obtained by using correlation analysis, and the second dimension screening is carried out to screen out the dimensions that have a greater impact on the analysis of water environment governance effects and reflect different information, so as to avoid overlap in the analysis results between dimensions. The Pearson correlation model can be used for correlation analysis. The calculation formula (3) of the correlation degree is as follows:

[0086] (3)

[0087] Where: r ij Indicates the correlation between the i-th first dimension and the j-th first dimension, x ik represents the analysis result of the first dimension of the kth city, x jk represents the analysis result of the first dimension of the k-th city, represents the average analysis result of the i-th first dimension, represents the average analysis result of the jth first dimension, n represents the number of cities, which can be 10 here.

[0088] The correlation degree r between the i-th first dimension and the j-th first dimension ij Relevance to the preset 0 For comparison, if r ij ≥r 0 , that is, the i-th first dimension is considered to be highly correlated with the j-th first dimension. In this case, the dimension with a smaller Wald value in the highly correlated dimension is deleted, and the dimension with a larger Wald value is retained; if r ij <r 0 , that is, the i-th first dimension is considered to be unrelated to the j-th first dimension, and the i-th and j-th dimensions are retained. Further, r 0 It can be set to 0.6, which can not only delete dimensions with relatively large correlations, but also avoid the situation where the conditions are too broad and cause redundancy in the analysis system.

[0089] S203. For each second dimension, determine the average analysis effect value of the second dimension according to the multiple analysis effect values ​​corresponding to the second dimension; for each second dimension, determine the effectiveness of the second dimension according to the multiple analysis effect values ​​corresponding to the second dimension and the average analysis effect value of the second dimension; determine the comprehensive effectiveness of the second dimension set according to the effectiveness of each second dimension in the second dimension set; for each second dimension, use the average analysis effect value of the second dimension as the target effect value; determine the stability of the second dimension set according to the similarity between the analysis effect value corresponding to each second dimension and the target effect value of each second dimension.

[0090] Assuming the number of experts is J, obtain the second dimension set F={f 1 , f 2 , f 3 …f n The analysis effect value set by the jth expert on the i-th second dimension is recorded as x ij The comprehensive effectiveness is represented by γ, and the specific calculation formula is as follows:

[0091] (4)

[0092] (5)

[0093] (6)

[0094] Where: is the i-th second dimension f i The average analytical effect value, x ij is the analysis effect value set by the jth expert for the i-th second dimension, M is the maximum value of multiple analysis effect values ​​of the i-th second dimension, is the effectiveness of the i-th second dimension, n is the number of second dimensions in the second dimension set, and γ is the comprehensive effectiveness of the second dimension set.

[0095] The smaller the effectiveness, the more consistent the experts' understanding of the problem is when using this dimension for analysis, and the more rational the analysis system is; otherwise, the lower it is.

[0096] Assuming that there is a set of analytical data that can fully and truly reflect the essence of the analytical object, then this set of data is the ideal value. The closer the analytical data obtained by the analytical system is to this set of data, the more the analytical system can reflect the true situation of the analytical object, and the higher the stability of the analytical system. Therefore, the correlation coefficient can be used as the stability of the analytical system to reflect the stability of the analytical system.

[0097] The target effect value refers to the ideal value of the analysis effect value. The mean of the J analysis effect values ​​of each second dimension can be used as the target effect value, and the correlation coefficient between the Jth analysis effect value and the target effect value can be calculated as the degree of stability, which is recorded as ρ j If ρ j The larger it is, the greater the correlation between the analysis result and its ideal value, and the closer it is to the ideal value, the better the stability of the analysis system; otherwise, it means that the stability of the analysis system is poor and needs to be corrected.

[0098] Multiple experts have a second dimension set F={f 1 , f 2 , f 3 …f n The average analysis effect value set of} is Y={y 1 ,y 2 ,y 3 …y n}, and Y={y 1 ,y 2 ,y 3 …y n} as the target effect value set for each second dimension, where y i Equal to formula (5) The analysis effect value set X set by the jth expert for the second dimension set j ={x 1j , x 2j , x 3j …x nj} and the target effect value set Y={y 1 ,y 2 ,y 3 …y n The stability of j Calculated by formulas (7) and (8), the details are as follows:

[0099] (7)

[0100] (8)

[0101] Where: |ρ j |≤1,ρ j is the stability, n is the number of the second dimension in the second dimension set, x ij is the analysis effect value set by the j-th expert for the i-th second dimension, is the average analysis effect value of the second dimension of the ith dimension, y i is the average analysis effect value of the i-th second dimension, is the average analysis effect value of each second dimension in the second dimension set.

[0102] S204: When the comprehensive effectiveness level is less than the preset effectiveness threshold and / or the stability level is less than the preset stability threshold, return to the step of reading the first dimension set from the storage device.

[0103] Specifically, the preset effective threshold and the preset stable threshold can be set according to actual values, for example, 0.2 and 0.9, which are explained below. j When γ<0.2 and / or ρ<0.9, the analysis result is considered valid and stable, and no optimization is required. When γ<0.2 and / or ρ<0.9, it means that the dimension set lacks validity or stability, and multiple first dimensions are re-screened to form a first dimension set and stored. The first dimension set is read from the storage device and re-screened until the conditions are met.

[0104] In one example, the final set of the second dimension includes multiple dimensions of water resources, water environment and water ecology. Specifically, water resources include: urban flood control project compliance rate, urban drainage compliance area, annual rainwater runoff pollution load reduction rate, key river and lake ecological flow compliance rate, water system connectivity; water environment includes: drainage network health, urban domestic sewage centralized collection rate, annual overflow volume control rate, sewage and wastewater compliance treatment rate, sewage plant pollution load additional reduction rate, river and lake water function area water quality compliance rate, water body eutrophication index; water ecology includes: ecological shoreline rate, river curvature, benthic macroinvertebrate diversity index.

[0105] Secondly, determine the evaluation content and methods of each dimension in the second dimension set, following the principles of easy monitoring and easy calculation to improve the practicality of the analysis system.

[0106] In terms of water resources, as for the compliance rate of urban flood control projects, urban flood control projects mainly involve flood diversion ditches, dams, flood (tide) gates and other facilities. The design standards, operating conditions, and operation and maintenance efficiency of the above facilities are all common evaluation contents. Some studies use flood control facility standards as a comprehensive flood control effect evaluation indicator, but the flood control standards of different cities and regions are different. Therefore, the actual construction standards and design standards of urban flood control projects are compared and analyzed for evaluation. The calculation formula is: the actual number of urban flood control projects that meet the design standards ÷ the total number of urban flood control projects × 100%.

[0107] As for the urban drainage area that meets the standards, urban drainage projects mainly involve drainage pipe networks, forced drainage pump stations and other facilities. Their design standards, operating conditions, and operation and maintenance efficiency are all common evaluation contents. Some studies use the elimination rate of waterlogging prevention points as a comprehensive evaluation indicator for waterlogging prevention and control effects. However, the screening of waterlogging points consumes a lot of manpower and material resources, and the calculation and evaluation are difficult, and the severity of waterlogging is insufficient. Therefore, the ratio of the urban drainage area that meets the standards to the area with drainage tasks is selected as the evaluation content. The calculation formula is: urban drainage area that meets the standards ÷ the total area of ​​the area with clear drainage tasks and goals × 100%.

[0108] As for the reduction rate of annual rainwater runoff pollution load, runoff pollution can be purified through natural or artificial facilities with "infiltration, retention, storage, purification, use and discharge". Therefore, the runoff pollution load reduction rate is reflected by calculating the reduction level of the above-mentioned facilities for runoff pollution load. The calculation formula is: the suspended pollutant load reduced in the annual average rainfall session ÷ the average total suspended pollutant load of runoff in rainfall sessions × 100%, among which, the suspended pollutant load reduced in rainfall sessions = the runoff infiltration volume of the facility × the reduction concentration of suspended pollutants in runoff pollution; the runoff infiltration volume of the facility = the saturated permeability coefficient of the facility × the hydraulic gradient × the effective infiltration area × the duration of runoff infiltration; the reduction concentration of suspended pollutants in runoff pollution = the average concentration of suspended pollutants in rainfall runoff pollution - the average concentration of suspended pollutants in applied water; the total suspended pollutant load of runoff in rainfall sessions = rainfall × receiving area × the average concentration of suspended pollutants in rainfall runoff pollution.

[0109] As for the ecological flow compliance rate of key rivers and lakes, a good base flow is the basis for ensuring the self-purification capacity of the water environment and a good ecology. In this regard, functional rivers and lakes generally have ecological flow control targets. Therefore, the proportion of time for achieving the ecological flow control targets of rivers and lakes is used to reflect the ecological flow compliance rate of rivers and lakes. The calculation formula is: the number of days for achieving the ecological flow control targets of rivers and lakes ÷ the number of days in the whole year × 100%.

[0110] As for the connectivity of water systems, it is also an important factor in ensuring the self-purification capacity of the water environment. Some studies use the number of artificial buildings that block the connectivity of rivers per 100 km of river length to characterize the connectivity of urban rivers. However, this method cannot fully reflect the natural connection of rivers, river channel breakouts, etc. Therefore, the ratio of the number of river chains to the maximum possible number of river chains is used to reflect the connectivity of river and lake systems. Among them, the intersection of rivers is a node, and the river between two adjacent nodes is called a river chain. The calculation formula is: number of river chains ÷ [3 × (number of nodes - 2)].

[0111] In terms of water environment, for the health of the drainage network, for the performance analysis of the drainage collection system, the drainage network coverage rate, the total length of the network, etc. can evaluate its service capacity, and the functional and structural defects of the network are used to evaluate the quality of the transportation facilities. Therefore, the health index of the network is reflected by calculating the number, length, location, etc. of various defects in the network. The calculation formula is: X I =(R I +M I )÷2, where R I It represents the pipe repair index calculated based on the pipe structural defect score, R I =0.7×F+0.1×K+0.05×E+0.05×T+0.05×J+0.05×M, where F represents the structural defect parameter of the pipe section, which is determined according to the pipe section damage parameter S, which is calculated based on the number of defects, longitudinal clearance, defect type, etc. K represents the regional importance parameter (central business, traffic artery, other driving roads, etc.), E represents the pipeline importance parameter (determined according to the pipe diameter); T represents the soil influencing parameter (loess, expansive soil, clay, etc.); J represents the pipeline structure influencing parameter (flexibility, rigidity); M I Indicates the parameters affecting the pipeline interface form (flexibility, rigidity); M I =0.8×G+0.15×K+0.05×E, G represents the functional defect parameter of the pipe section, which is determined according to the pipe section operation status parameter Y, and Y is calculated based on the number of functional defects, longitudinal clearance, defect type, etc.; K represents the regional importance parameter (central business, traffic arterial, other driving roads, etc.), and E indicates the pipeline importance parameter (determined according to the pipe diameter).

[0112] As for the centralized collection rate of urban domestic sewage, this indicator can reflect the service effect of the urban domestic sewage collection system, so as to comprehensively analyze the collection scope and efficiency of the pipe network. Although the chemical oxygen demand (COD) collection concentration is often used to calculate the sewage collection rate, since the COD concentration is easily disturbed by industrial wastewater, the biochemical oxygen demand (BOD) collection concentration is used to calculate the collection rate. The calculation formula is: (water volume entering the sewage treatment plant × BOD concentration of sewage treatment) ÷ (daily BOD discharge per capita × total urban population) × 100%.

[0113] As for the annual overflow volume control rate, in the stage of shifting from point source pollution control to non-point source pollution control, in addition to rainfall runoff, combined system overflow pollution is also an important non-point source of pollution for urban water environment. Although there are evaluation indicators for overflow pollution load control, its load is affected by many factors such as rainfall duration, rainfall intensity, and rainwater and sewage concentration, making it difficult to monitor and calculate. Therefore, the overflow pollution volume reduction is used to reflect the overflow pollution control level. The calculation formula is: overflow pollution control facility reduction volume ÷ overflow volume without control facilities × 100%.

[0114] As for the treatment rate of sewage and wastewater reaching the standard, the treatment of sewage and wastewater reaching the standard is the most basic requirement for the efficient operation of urban sewage treatment plants. Therefore, the sewage treatment efficiency is reflected by calculating the proportion of sewage treatment plant's annual standard operation days. The calculation formula is: the number of sewage treatment plant's standard-reaching days ÷ the total number of days for sewage treatment plant's standard operation evaluation, where the daily average pollutant emission value dichromate index (COD Cr )、BOD 5 , suspended solids (SS), ammonia nitrogen (NH 3 -N), total nitrogen (TN), and total phosphorus (TP) all meet the design effluent standards of the corresponding sewage treatment plants and are considered to meet the standards on the same day. If any one of them does not meet the standards, it will be deemed to be non-compliant for the day.

[0115] As for the additional reduction rate of sewage treatment plant pollution load, the additional reduction of sewage treatment plant pollution load is to evaluate the additional reduction of pollutants exceeding the design effluent standard to guide the urban water environment governance to a higher level, and to provide a higher water environment capacity for urban economic development by reducing the pollutant load of sewage treatment plants. 3 -N and TP excessive eutrophication caused by more serious, so only NH 3 -N and TP pollution load additional reduction rate. The calculation formula is: NH 3 -N pollution load additional reduction rate × 0.75 + TP pollution load additional reduction rate × 0.25, where NH 3 -N / TP pollution load additional reduction rate = (actual pollution load reduction of sewage treatment plant - designed pollution load reduction of sewage treatment plant) / designed pollution load reduction of sewage treatment plant × 100%; the actual pollution load reduction of sewage treatment plant is calculated based on the actual inlet and outlet water quality and treated water volume; the designed pollution load reduction of sewage treatment plant is calculated based on the designed inlet and outlet water quality and treated water volume; 0.75 and 0.25 represent NH 3 -N and TP additional reduction index, which combines NH 3 -Determination of pollution equivalence of N and TP.

[0116] As for the water quality compliance rate of rivers, lakes and other natural water bodies, the water quality of rivers, lakes and other natural water bodies directly reflects the governance effect of urban water environment, so the governance effect is evaluated by calculating the water quality compliance of water functional areas. The calculation formula is: the number of water functional areas that meet the standards ÷ the total number of water functional areas included in the assessment scope × 100%. The water quality evaluation includes the basic contents of the "Surface Water Environmental Quality Standard", including dissolved oxygen (DO), acidity (pH), COD, NH 3 -N, TP and other indicators. If all indicators meet the corresponding standards during a single monitoring process, they are considered to be up to standard. If all monitoring times in a water functional area meet the standards, the water quality in that water functional area is considered to be up to standard.

[0117] As for the eutrophication index of water bodies, eutrophication of river and lake water bodies is a common problem, so the effectiveness of urban water body management is reflected by calculating the eutrophication index. The calculation formula is: eutrophication index of each river, lake and reservoir ÷ the total number of rivers, lakes and reservoirs involved in the evaluation, , where TLI represents the eutrophication index of a single water body, W j The relevant weight of the nutritional status index of the jth parameter, n is the number of parameters, TLI j Represents the nutritional status index of the jth parameter, including chlorophyll a (Chla), TP, TN, transparency (SD) and permanganate index (COD Mn ).

[0118] In terms of water ecology, the ecological coastline rate is used to protect the ecological coastline from waves, water flow, erosion, and bank collapse caused by soil pressure and groundwater seepage pressure, thereby maintaining plant growth, animal habitat, and water-soil integration. It includes natural coastlines and ecological revetments, so the proportion of natural coastlines and ecological revetments to the total length of river and lake coastlines is used to evaluate habitat conditions. The calculation formula is: length of river and lake ecological coastline (km) ÷ total length of river and lake coastline (km) × 100%.

[0119] As for the river curvature, it can reflect the impact of high-intensity human activities on the morphology, structure and function of the river system, and then affect the biological habitat and biodiversity of the river basin, and can reflect the natural ecological background of the river. The calculation formula is: actual length of the river channel ÷ the straight line length between the starting and end points of the river channel.

[0120] As for the benthic macroinvertebrate diversity index, the biodiversity evaluation of river and lake water bodies covers a variety of species such as submerged plants, emergent plants, zooplankton, fish, and birds. The diversity index of each species can reflect the biodiversity level of the water system to a certain extent. Among them, the indicator species diversity index can reflect the overall level of biodiversity. Therefore, the benthic macroinvertebrate diversity index is used to reflect the biodiversity status of the water body. It uses the Shannon-Venad index as the evaluation standard, and the calculation formula is: , where P i It represents the ratio of the number of individuals of species i to the total number of individuals, and n is the number of species.

[0121] S205. Obtain multiple difficulty factors corresponding to each second dimension of the second dimension set, where the difficulty factor is used to indicate the analysis difficulty of the second dimension; for each second dimension, after deleting the maximum value and the minimum value in the multiple difficulty factors corresponding to the second dimension, determine the average difficulty factor of the second dimension set according to the average value of the multiple difficulty factors of each second dimension; when the average difficulty factor of the second dimension set is greater than a preset difficulty factor threshold, adjust the analysis strategy of each second dimension of the second dimension set.

[0122] Specifically, the difficulty factor can be comprehensively evaluated and assigned by multiple experts and can be divided into 4 levels: 1, 2, 3, and 4, representing easy, relatively easy, relatively difficult, and difficult, respectively. After deleting the maximum and minimum values ​​of the multiple difficulty factors corresponding to each dimension, the average value D of the difficulty factor of each dimension is calculated. i , and then calculate the average difficulty factor. The specific calculation formula is as follows:

[0123] (9)

[0124] Where: is the average difficulty factor, D i is the difficulty factor of the i-th second dimension, which is used to indicate the difficulty of monitoring, calculating and evaluating the i-th second dimension, and n is the number of second dimensions in the second dimension set.

[0125] The preset difficulty factor threshold is set according to the actual situation, and can be 1.5, which is used as an illustration here. ≤1.5, it means that it is easier to analyze and suitable for the analysis of the system governance effect of urban water environment; if If it is greater than 1.5, it means that the analysis is difficult. Then adjust the analysis strategy of the relevant second dimension of the second dimension set and optimize its evaluation content and method until ≤1.5.

[0126] S206. When the comprehensive effectiveness is greater than or equal to the preset effectiveness threshold and the stability is greater than or equal to the preset stability threshold, the system governance effect of the urban water environment is analyzed according to the second dimension set to obtain the governance effect analysis result.

[0127] When the comprehensive effectiveness and stability meet the conditions, the urban water environment governance effect is quantitatively calculated, including water environment system element investigation, water environment element evaluation and water environment governance effect analysis.

[0128] The investigation of water environment system elements combines the calculation formulas of each dimension and uses methods such as field investigation and model simulation to monitor, investigate and calculate the current status of water-related elements corresponding to the dimension.

[0129] In terms of water resources, in terms of the compliance rate of urban flood control projects, the actual construction standards and design standards of urban flood control projects were investigated and analyzed. Among them, the design standards referred to the urban flood control specifications and the "Urban Flood Control Project Design Standards".

[0130] For the area that meets the urban drainage standards, the research will clarify the standards and regional locations of the drainage tasks, use relevant software to calculate the regional area, analyze the areas that meet the drainage standards in combination with the drainage situation in the rainy season, and calculate the area that meets the standards with relevant software. If there is no regulation on the drainage standards, refer to the "Outdoor Drainage Design Standards" and "Urban Flood Control Engineering Design Standards" to determine.

[0131] As for the reduction rate of annual rainwater runoff pollution load, the investigation calculates parameters such as the infiltration volume, permeability coefficient, hydraulic gradient, and effective infiltration area of ​​facilities with runoff infiltration function, and monitors and calculates rainfall, the average concentration of suspended pollutants in rainfall runoff pollution, and the average concentration of suspended pollutants in the effluent of the facilities.

[0132] Regarding the ecological flow compliance rate of key rivers and lakes, the average daily flow of key rivers and lakes in the past year was investigated in combination with hydrological station data.

[0133] As for the connectivity of the water system, the model is used to generalize the river network in combination with the river network diagram, and the number of river chains and nodes in the river network are calculated respectively.

[0134] In terms of water environment, in terms of the health of the drainage network, one-tenth of the length of the urban drainage network was randomly selected, and combined with the inspection results of the past year, the degree and quantity of structural defects (ruptures, deformations, corrosion, misalignment, fluctuations, disconnections, falling off of interface materials, concealed connections of branches, insertion of foreign objects, leakage) and functional defects (deposition, scaling, obstacles, roots of walls / dams, tree roots, scum) of the drainage network were calculated.

[0135] For the centralized collection rate of urban domestic sewage, monitor and calculate the water volume entering the sewage treatment plant and the BOD of the water entering the sewage treatment plant. 5 Concentration, daily average BOD 5 Emission volume, population size in the sewage treatment plant receiving area, etc.

[0136] As for the annual overflow volume control rate, the meteorological station was surveyed to obtain continuous rainfall monitoring data with a step length of 1 minute, 5 minutes or 1 hour in the city for the past 10 years. The Geographic Information System (GIS) data such as the city’s source emission reduction facility parameters, pipeline network topology, interception mains, underlying surface, terrain, etc. were obtained. The Storm Water Management Model (SWMM) was used to generalize the district pipeline network, and the overflow volume with or without overflow facilities during rainfall was simulated and analyzed.

[0137] In terms of the sewage and wastewater treatment rate reaching the standard, the number of days that the sewage treatment plant in the area reaches the standard is calculated, among which the daily average discharge value of pollutants COD Cr 、BOD 5 , SS, NH 3 If N, TN and TP all meet the design effluent standards of the corresponding sewage treatment plant, they are considered to meet the standards for the day; if any one of them does not meet the standards, it is deemed to be not met for the day.

[0138] In terms of the additional reduction rate of pollution load of sewage treatment plants, the effluent NH 3 -N and TP concentrations and the designed effluent quality, combined with the treated water volume, calculate the additional NH reduction of the sewage treatment plant based on the designed effluent quality 3 -N and TP loads.

[0139] As for the water quality compliance rate of rivers, lakes and reservoirs, the permanganate index and ammonia nitrogen index of important urban water functional areas are monitored once a month for 12 consecutive times. Among them, the survey objects are all water functional areas listed in the "National Important Rivers, Lakes and Water Function Zoning" (excluding pollution control areas without water quality targets).

[0140] Regarding the eutrophication index of water bodies, the nutrient status of urban lakes and reservoirs is monitored once a month for 12 consecutive times. The monitoring indicators include CHLA, TP, TN, SD, COD Mn .

[0141] In terms of water ecology, for the ecological shoreline rate, the total length of the ecological shoreline of urban rivers and lakes is calculated. Among them, the ecological shoreline includes natural shoreline and ecological revetment. The natural shoreline refers to the natural undeveloped shoreline or the shoreline that has basically achieved the ecological function of the shoreline through ecological restoration; the ecological revetment refers to the slope protection facilities built to resist the invasion and scouring of waves and water flows and the collapse of the bank caused by soil pressure and groundwater infiltration pressure, taking into account the requirements of plant growth, animal habitat, water and soil integration, etc.

[0142] As for the curvature of the river, the river network is generalized by combining the river network diagram and using hydrodynamic models such as the MIKE11 model, and the actual length of the river and the straight-line length between the starting and end points of the river are investigated and calculated.

[0143] For the benthic macroinvertebrate diversity index, biological sequencing was used to analyze the species of benthic macroinvertebrates in rivers and lakes, and the number of benthic macroinvertebrates was calculated.

[0144] The analysis of water environment system elements is based on the investigation of water environment system elements and combines the evaluation methods of various dimensions to quantitatively calculate and analyze the governance effects of water-related elements.

[0145] For dimensions with better analysis results, we summarize the governance experience, such as perfect design, governance system, and proper operation and maintenance management; for dimensions with poor analysis results, we use correlation analysis and other methods to analyze the relevant dimensions to determine their correlation. At the same time, combined with on-site investigation and monitoring, we conduct in-depth analysis of the internal reasons for the shortcomings of factors and the areas with more serious problems, so as to provide ideas for improving water environment quality.

[0146] S207. Display the results of the analysis of the system governance effect of the urban water environment.

[0147] S207 is similar to S105 and will not be described in detail in this embodiment.

[0148] The present application provides a method for analyzing the system governance effect of an urban water environment, comprising: reading a first dimension set from a storage device, wherein the first dimension set includes multiple first dimensions for analyzing the system governance effect of the urban water environment; determining the test probability of each first dimension according to the analysis results of each first dimension for multiple cities, and determining the correlation between the analysis results of each two first dimensions, and selecting a second dimension from the first dimension set according to the test probability of each first dimension and the correlation between the analysis results of each two first dimensions to form a second dimension set; determining the comprehensive effectiveness of the second dimension set according to the preset analysis effect value of each second dimension, and determining the stability of the second dimension set according to the similarity between the analysis effect value of each second dimension and the target effect value; when the comprehensive effectiveness is greater than or equal to the preset effectiveness threshold and the stability is greater than or equal to the preset stability threshold, analyzing the system governance effect of the urban water environment according to the second dimension set to obtain a governance effect analysis result; and displaying the system governance effect analysis result of the urban water environment. This application uses test probability and correlation degree to screen multiple dimensions for analyzing the system governance effect of urban water environment, constructs a method for analyzing the system governance effect of urban water environment, and solves the problem of how to objectively, scientifically and accurately analyze the system governance effect of urban water environment; by determining the comprehensive effectiveness and stability of the second dimension set, to ensure the effectiveness and stability of the system governance effect analysis of urban water environment; by analyzing the water-related elements of urban water environment in various dimensions, it helps relevant departments to systematically understand the current situation and shortcomings of urban water environment system governance.

[0149] The embodiment of the present invention can divide the electronic device or the main control device into functional modules according to the above method example. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiment of the present invention is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0150] Figure 3 This is a schematic diagram of a system governance effect analysis device for an urban water environment provided in an embodiment of the present application. Figure 3 As shown, the system governance effect analysis device 400 for urban water environment includes: a reading module 410, a screening module 420, a determination module 430, an analysis module 440 and a display module 450.

[0151] A reading module 410 is used to read a first dimension set from a storage device, wherein the first dimension set includes a plurality of first dimensions for analyzing a system governance effect of an urban water environment;

[0152] A screening module 420 is used to determine the test probability of each first dimension according to the analysis results of each first dimension for multiple cities, and to determine the correlation between the analysis results of each two first dimensions, and to screen out the second dimension from the first dimension set according to the test probability of each first dimension and the correlation between the analysis results of each two first dimensions to form a second dimension set;

[0153] A determination module 430 is used to determine the comprehensive effectiveness of the second dimension set according to the preset analysis effect value of each second dimension, and to determine the stability of the second dimension set according to the similarity between the analysis effect value of each second dimension and the target effect value;

[0154] The analysis module 440 is used to analyze the system governance effect of the urban water environment according to the second dimension set to obtain a governance effect analysis result when the comprehensive effectiveness is greater than or equal to the preset effectiveness threshold and the stability is greater than or equal to the preset stability threshold;

[0155] The display module 450 is used to display the results of the system governance effect analysis of the urban water environment.

[0156] Optionally, the screening module 420 is specifically used for:

[0157] For each first dimension, determine the analysis results of the first dimension for multiple cities; for each first dimension, determine the inspection probability of the first dimension based on the analysis results corresponding to the first dimension for multiple cities.

[0158] Optionally, the screening module 420 is specifically used for:

[0159] For each first dimension, the average of the analysis results of the first dimension corresponding to multiple cities is taken as the average analysis result of each first dimension; for any two first dimensions, the analysis results corresponding to multiple cities of the two first dimensions and the average analysis results of the two first dimensions are input into the Pearson correlation model to obtain the correlation degree between the analysis results of the two first dimensions.

[0160] Optionally, the screening module 420 is specifically used for:

[0161] Filter out first dimensions whose inspection probabilities are less than preset inspection probabilities from the first dimension set to obtain a second dimension set consisting of at least one second dimension; delete one of every two second dimensions in the second dimension set whose correlation degree is greater than or equal to the preset correlation degree.

[0162] Optionally, the determination module 430 is specifically configured to:

[0163] For each second dimension, the average analysis effect value of the second dimension is determined based on the multiple analysis effect values ​​corresponding to the second dimension; for each second dimension, the effectiveness of the second dimension is determined based on the multiple analysis effect values ​​corresponding to the second dimension and the average analysis effect value of the second dimension; based on the effectiveness of each second dimension in the second dimension set, the comprehensive effectiveness of the second dimension set is determined.

[0164] Optionally, the determination module 430 is specifically configured to:

[0165] For each second dimension, the average analysis effect value of the second dimension is used as the target effect value; and the stability of the second dimension set is determined according to the similarity between the analysis effect value corresponding to each second dimension and the target effect value of each second dimension.

[0166] Optionally, the analysis module 440 is specifically configured to:

[0167] When the comprehensive effectiveness level is less than the preset effectiveness threshold and / or the stability level is less than the preset stability threshold, return to the step of reading the first dimension set from the storage device.

[0168] Optionally, the analysis module 440 is specifically configured to:

[0169] A plurality of difficulty factors corresponding to each second dimension of the second dimension set are obtained, where the difficulty factor is used to indicate the analysis difficulty of the second dimension; for each second dimension, after deleting the maximum value and the minimum value in the plurality of difficulty factors corresponding to the second dimension, an average difficulty factor of the second dimension set is determined according to the average value of the plurality of difficulty factors of each second dimension; when the average difficulty factor of the second dimension set is greater than a preset difficulty factor threshold, the analysis strategy of each second dimension of the second dimension set is adjusted.

[0170] The present embodiment provides a device for analyzing the effects of system governance of urban water environment, which can execute a method for analyzing the effects of system governance of urban water environment in the above-mentioned embodiment. Its implementation principle and technical effects are similar and will not be described in detail in the present embodiment.

[0171] In the specific implementation of the aforementioned urban water environment system governance effect analysis device, each module can be implemented as a processor, and the processor can execute computer execution instructions stored in the memory, so that the processor executes the aforementioned urban water environment system governance effect analysis method.

[0172] Figure 4 This is a schematic diagram of the structure of the electronic device hardware provided in the embodiment of the present application. Figure 4 As shown, the electronic device 500 includes: at least one processor 510 and a memory 520. The electronic device 500 also includes a communication component 530. The processor 510, the memory 520 and the communication component 530 are connected via a bus 540.

[0173] In the specific implementation process, at least one processor 510 executes the computer execution instructions stored in the memory 520, so that at least one processor 510 executes a method for analyzing the system governance effect of an urban water environment as executed by the electronic device side as above.

[0174] The specific implementation process of the processor 510 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0175] In the above embodiments, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc. The steps of the method disclosed in the invention may be directly embodied as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0176] The memory may include high-speed random-access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage.

[0177] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of this application is not limited to only one bus or one type of bus.

[0178] The above-mentioned functions implemented by the electronic device and the main control device introduce the scheme provided by the embodiment of the present invention. It can be understood that in order to implement the above-mentioned functions, the electronic device or the main control device includes a hardware structure and / or software module corresponding to the execution of each function. In combination with the units and algorithm steps of each example described in the embodiment disclosed in the embodiment of the present invention, the embodiment of the present invention can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the technical solution of the embodiment of the present invention.

[0179] The present application also provides a computer-readable storage medium, which stores computer execution instructions. When a processor executes the computer execution instructions, it is used to implement the above-mentioned method for analyzing the system governance effect of an urban water environment.

[0180] The above-mentioned readable storage medium can be any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0181] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in a dedicated integrated circuit. Of course, the processor and the readable storage medium can also exist as discrete components in an electronic device or a main control device.

[0182] The present application also provides a computer program product, which includes: a computer program, which is stored in a readable storage medium. At least one processor of an electronic device can read the computer program from the readable storage medium, and at least one processor executes the computer program so that the electronic device executes the solution provided by any of the above embodiments.

[0183] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0184] So far, the technical solution of the present application has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments, and the above embodiments are only used to illustrate the technical solution of the present application rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for analyzing the effect of system governance of urban water environment, characterized in that: The method comprises: Reading a first dimension set from a storage device, wherein the first dimension set includes a plurality of first dimensions for analyzing a system governance effect of the urban water environment; According to the analysis results of each of the first dimensions for a plurality of cities, the test probability of each of the first dimensions is determined by a hypothesis testing method, the test probability is used to indicate the significance level of the first dimension, and the correlation between every two analysis results of the first dimensions is determined, and according to the test probability of each of the first dimensions and the correlation between every two analysis results of the first dimensions, a second dimension is selected from the first dimension set to form a second dimension set; wherein the hypothesis testing method includes at least one of the following: a Z test, a chi-square test, and a Wald test; and the correlation is represented by a correlation coefficient; Determining the comprehensive effectiveness of the second dimension set according to the differences between the preset analysis effect values ​​of each of the second dimensions, and determining the stability of the second dimension set according to the similarity between the analysis effect value of each of the second dimensions and the target effect value; When the comprehensive effectiveness is greater than or equal to the preset effectiveness threshold and the stability is greater than or equal to the preset stability threshold, the system governance effect of the urban water environment is analyzed according to the second dimension set to obtain the governance effect analysis result; when the comprehensive effectiveness is less than the preset effectiveness threshold or the stability is less than the preset stability threshold, return to the step of reading the first dimension set from the storage device; and display the governance effect analysis result of the urban water environment; Determining the comprehensive effectiveness of the second dimension set according to the differences between the preset analysis effect values ​​of each of the second dimensions includes: For each of the second dimensions, determining an average analysis effect value of the second dimension according to a plurality of analysis effect values ​​corresponding to the second dimension; For each of the second dimensions, determining the effectiveness of the second dimension according to a plurality of analysis effect values ​​corresponding to the second dimension and an average analysis effect value of the second dimension; Determining the comprehensive effectiveness of the second dimension set according to the effectiveness of each second dimension in the second dimension set; Determining the stability of the second dimension set according to the similarity between the analysis effect value of each second dimension and the target effect value is achieved by the following formula: Among them, |ρ j |≤1,ρ j is the stability, n is the number of the second dimension in the second dimension set, x ij is the analysis effect value set by the j-th expert for the i-th second dimension, is the average analysis effect value of the second dimension of the ith dimension, y i is the average analysis effect value of the i-th second dimension, is the average analysis effect value of each second dimension in the second dimension set.

2. The method according to claim 1, characterized in that The step of determining the inspection probability of each first dimension according to the analysis results of each first dimension on the plurality of cities includes: For each of the first dimensions, determining analysis results of the first dimension on multiple cities; For each of the first dimensions, the inspection probability of the first dimension is determined according to the analysis results of the first dimension corresponding to multiple cities.

3. The method according to claim 2, characterized in that The determining the correlation between every two analysis results of the first dimensions includes: For each of the first dimensions, taking the average of the analysis results of the first dimension corresponding to multiple cities as the average analysis result of each of the first dimensions; For any two of the first dimensions, the analysis results of the two first dimensions corresponding to multiple cities and the average analysis results of the two first dimensions are input into the Pearson correlation model to obtain the correlation between the analysis results of the two first dimensions.

4. The method according to claim 1, characterized in that: The step of selecting a second dimension from the first dimension set according to the inspection probability of each first dimension and the correlation between the analysis results of every two first dimensions to form a second dimension set includes: Filtering out the first dimensions whose inspection probabilities are less than a preset inspection probability from the first dimension set, to obtain a second dimension set consisting of at least one second dimension; In the second dimension set, one of every two second dimensions whose correlation degree is greater than or equal to a preset correlation degree is deleted.

5. The method according to claim 1, characterized in that When the comprehensive effectiveness is greater than or equal to a preset effectiveness threshold and the stability is greater than or equal to a preset stability threshold, analyzing the system governance effect of the urban water environment according to the second dimension set, before obtaining the governance effect analysis result, the method further includes: Acquire a plurality of difficulty factors corresponding to each second dimension of the second dimension set, where the difficulty factor is used to indicate the analysis difficulty of the second dimension; For each of the second dimensions, after deleting the maximum value and the minimum value in the multiple difficulty factors corresponding to the second dimension, determine the average difficulty factor of the second dimension set according to the average value of the multiple difficulty factors of each of the second dimensions; When the average difficulty factor of the second dimension set is greater than a preset difficulty factor threshold, the analysis strategy of each second dimension of the second dimension set is adjusted.

6. A system governance effect analysis device for urban water environment, characterized in that: The device comprises: A reading module, configured to read a first dimension set from a storage device, wherein the first dimension set includes a plurality of first dimensions for analyzing a system governance effect of the urban water environment; a screening module, configured to determine the test probability of each first dimension by a hypothesis testing method according to the analysis results of each first dimension on a plurality of cities, wherein the test probability is used to indicate the significance level of the first dimension, and to determine the correlation between every two analysis results of the first dimensions, and to screen out a second dimension from the first dimension set according to the test probability of each first dimension and the correlation between every two analysis results of the first dimensions, so as to form a second dimension set; wherein the hypothesis testing method includes at least one of the following: a Z test, a chi-square test, and a Wald test; and the correlation is represented by a correlation coefficient; A determination module, configured to determine the comprehensive effectiveness of the second dimension set according to the differences between the analysis effect values ​​preset in each of the second dimensions, and to determine the stability of the second dimension set according to the similarity between the analysis effect value and the target effect value in each of the second dimensions; An analysis module, configured to analyze the system governance effect of the urban water environment according to the second dimension set to obtain a governance effect analysis result when the comprehensive effectiveness is greater than or equal to a preset effectiveness threshold and the stability is greater than or equal to a preset stability threshold; and return to the step of reading the first dimension set from the storage device when the comprehensive effectiveness is less than the preset effectiveness threshold or the stability is less than the preset stability threshold; A display module, used to display the treatment effect analysis result of the urban water environment; The determination module is specifically used to determine, for each second dimension, an average analysis effect value of the second dimension according to a plurality of analysis effect values ​​corresponding to the second dimension; for each second dimension, determine the effectiveness of the second dimension according to a plurality of analysis effect values ​​corresponding to the second dimension and the average analysis effect value of the second dimension; determine the comprehensive effectiveness of the second dimension set according to the effectiveness of each second dimension in the second dimension set; and determine the stability of the second dimension set according to the similarity between the analysis effect value of each second dimension and the target effect value, which is achieved by the following formula: Among them, |ρ j |≤1,ρ j is the stability, n is the number of the second dimension in the second dimension set, x ij is the analysis effect value set by the j-th expert for the i-th second dimension, is the average analysis effect value of the second dimension of the ith dimension, y i is the average analysis effect value of the i-th second dimension, is the average analysis effect value of each second dimension in the second dimension set.

7. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; When the processor executes the computer-executable instructions stored in the memory, the instructions are used to implement the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method according to any one of claims 1 to 5.

9. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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