Urban flood control construction evaluation method based on three-scale analytic hierarchy process

Abstract

The invention belongs to the technical field of urban flood control construction evaluation, and particularly relates to an urban flood control construction evaluation method based on a three-scale analytic hierarchy process, a storage medium, a program product and computer equipment. The method comprises the following steps: establishing an evaluation index total library; according to the evaluation object, evaluation indexes are selected from the evaluation index total library, and an evaluation index system is constructed; calculating the weight of each evaluation index in the evaluation index system by using a three-scale analytic hierarchy process; and calculating an urban flood control construction evaluation score according to the weight and the numerical value of each evaluation index. The evaluation indexes are collected, classified and graded to establish an evaluation index total library, the comprehensiveness and systematicness of the evaluation process are ensured, meanwhile, the evaluation indexes are convenient to search and apply, and the construction efficiency of the evaluation system is improved; moreover, related indexes are allowed to be flexibly selected according to specific evaluation objects, and a targeted evaluation index system is constructed to adapt to flood control requirements and environmental characteristics of different evaluation objects.

Description

Technical Field

[0001] The invention belongs to the technical field of urban flood control construction evaluation, and specifically relates to an urban flood control construction evaluation method based on a three-scale hierarchical analysis method. Background Art

[0002] With the accelerated advancement of urbanization, the importance of urban flood control construction has become increasingly prominent. CN105590034A provides a flood control and disaster reduction capacity evaluation model, but this model is not suitable for the evaluation of flood control construction capacity in different cities: First, the specific problems and needs faced by flood control construction in different cities and regions are different. The model lacks comprehensive collection and systematic organization of urban flood control construction evaluation indicators. Not only can it not fully reflect all aspects of flood control construction, but it also leads to the problem of inefficient construction of the evaluation system. Secondly, only a set of fixed standards is used to measure different cities, which ignores the diversity of flood control needs and the uniqueness of environmental characteristics of each city, resulting in the problem of "one thousand cities with one face", and it is impossible to accurately evaluate the actual flood control conditions and needs of each evaluation object.

[0003] In addition, at present, the evaluation methods of flood control construction mostly rely on the traditional nine-scale analytic hierarchy process (AHP). However, this method not only increases the difficulty of expert decision-making because the scale division is too fine, but also makes the decision results highly subjective. In addition, the use of the nine-scale analytic hierarchy process will increase the complexity and computational burden of matrix consistency detection, requiring continuous consistency testing and adjustment of the judgment matrix, and these adjustment processes may sometimes deviate from the actual judgment of experts on the importance of indicators. Summary of the invention

[0004] The purpose of the present invention is to provide an urban flood control construction evaluation method based on a three-scale hierarchical analysis method. The method collects, classifies and grades evaluation indicators to establish an evaluation indicator database, thereby ensuring the comprehensiveness and systematicness of the evaluation process, while facilitating the search and application of evaluation indicators, aiming to improve the efficiency of building an evaluation system; and, it allows flexible selection of relevant indicators according to specific evaluation objects, constructs a targeted evaluation indicator system, so as to adapt to the flood control needs and environmental characteristics of different evaluation objects, thereby enhancing the pertinence and practicality of the evaluation.

[0005] The embodiment of the present invention discloses a method for evaluating urban flood control construction based on a three-scale analytic hierarchy process, comprising the following steps:

[0006] S1. Collect evaluation indicators of urban flood control construction, classify and grade the evaluation indicators, and establish a general database of evaluation indicators;

[0007] S2. Select evaluation indicators from the evaluation indicator database according to the evaluation object and construct an evaluation indicator system;

[0008] S3. Use the three-scale analytic hierarchy process to calculate the weight of each evaluation index in the evaluation index system;

[0009] S4. Calculate the urban flood control construction evaluation score based on the weight and value of each evaluation indicator.

[0010] By means of the above technical scheme, the present invention has at least the following advantages: (1) The present invention can ensure the comprehensiveness and systematicness of the evaluation process and avoid missing important information by collecting, classifying and grading evaluation indicators and establishing an evaluation indicator database; it also helps to easily find and apply evaluation indicators and improve the efficiency of building the evaluation system. (2) The present invention allows the selection of relevant indicators from the evaluation indicator database according to the specific evaluation object to build a targeted evaluation indicator system. This flexibility enables the evaluation method to adapt to the flood control needs and environmental characteristics of different evaluation objects, thereby improving the pertinence and practicality of the evaluation. (3) The three-scale analytic hierarchy process (AHP) adopted by the present invention simplifies the fine scale division of the traditional nine-scale analytic hierarchy process (AHP), reduces the difficulty of expert decision-making, improves the efficiency of decision-making, and reduces the influence of subjectivity on the evaluation results. This method not only enables experts to make decisions more easily, but also speeds up the decision-making process by reducing the complexity of the judgment matrix, while avoiding frequent consistency checks and adjustments. More importantly, it reduces the influence of subjective factors in weight distribution, thereby enhancing the objectivity of the evaluation and ensuring the fairness and accuracy of the evaluation results.

[0011] Preferably, the embodiment of the present invention further discloses that the step S3 includes:

[0012] S31. Construct comparison matrix A according to the three-scaling method

[0013] Through formula (1), the comparison matrix A of the importance of pairwise comparison at the same level is constructed, as shown in formula (2);

[0014]

[0015] S32, construct judgment matrix B

[0016] By formula (3), the judgment matrix B is constructed, where the importance ranking index It represents the sum of the elements in the i-th row of the judgment matrix A, n is the number of rows or columns of the matrix, r min =min{r i} represents the minimum value of the sum of all row elements in the judgment matrix A;

[0017]

[0018] S33. Construct an antisymmetric matrix C

[0019] Based on the judgment matrix B, the antisymmetric matrix C is obtained according to formula (4), where n is the number of rows or columns of the matrix;

[0020] c ij =lgb ij (i,j=0,1,…,n-1) (4)

[0021] S34. Construct the optimal transfer matrix D

[0022] Based on the judgment matrix C, the optimal transfer matrix D is obtained according to formula (5), where n is the number of rows or columns of the matrix;

[0023]

[0024] S35. Construct a quasi-optimal consistency matrix E

[0025] Based on the optimal transfer matrix D, the quasi-optimal consistency matrix E is obtained according to formula (6);

[0026]

[0027] S36. Calculate the weight of each evaluation index

[0028] According to formula (7), the product of each row of the quasi-optimal consistency matrix E is calculated, and the product of each row is taken to the nth root to obtain Where n is the number of rows or columns of the matrix; then according to formula (8), each Divide by all The sum of i , w i Indicates the weight of each evaluation index;

[0029]

[0030]

[0031] Preferably, the embodiment of the present invention further discloses that after S36, the step further includes:

[0032] S37, compare the evaluation index weight calculated by S36 with the clipping threshold. If the evaluation index weight is less than the clipping threshold, the evaluation index is clipped from the evaluation index system, and its weight is proportionally distributed to other evaluation indexes at the same level that have not been clipped; the clipping threshold is set for each evaluation object based on historical data and / or expert opinions. Through S37, the evaluation index items with less correlation with urban flood control construction are clipped, and their weights are set to 0, and the weights of other indicators are adjusted to optimize and update the weight distribution of the overall evaluation index system, thereby achieving the simplification and optimization of the evaluation index system, which not only improves the accuracy and efficiency of the evaluation, but also ensures that important indicators receive sufficient attention.

[0033] Preferably, the embodiment of the present invention further discloses that the step S37 includes:

[0034] S371, re-arrange the weights of the evaluation indicators obtained in S46 in ascending order, and the weight vector after the ordering is recorded as W';

[0035] S372, take out an element w from W' in order i ';

[0036] S373, if w i ' is less than the clipping threshold δ, then set w i 'The weight of the corresponding indicator item is 0, and w i ' is added to the variable sum, which is initialized to 0;

[0037] S374, when w i ' is greater than or equal to the clipping threshold δ, the clipping ends; otherwise, return to S372;

[0038] S375. After the pruning is completed, the weight ratio of the evaluation indicators that have not been pruned in the same level is calculated, and the value of the variable sum is added to the original weights of other evaluation indicators that have not been removed in the same level according to the ratio, so as to obtain the new weights of these evaluation indicators.

[0039] Preferably, the embodiment of the present invention also discloses that, in S2, the AntV G6 graph engine is used to visually construct the evaluation index system, and the user can place the evaluation index in the form of a component in the canvas by dragging, or delete the evaluation index from the canvas, and can display the hierarchical relationship between the evaluation indexes through connecting lines. The use of this technical solution makes the construction of the evaluation index system more intuitive, flexible and efficient. This not only improves the efficiency of the evaluation work, but also helps to more accurately reflect the actual situation and dynamic changes of urban flood control construction.

[0040] Preferably, the embodiment of the present invention further discloses that the step S4 further includes:

[0041] S5. Use GIS to display the assessment results on a map.

[0042] Preferably, the embodiment of the present invention further discloses that, in said S4, the urban flood control construction evaluation score is the weighted sum of the values ​​of the highest-level evaluation indicators, and the value of the evaluation indicator is the weighted sum of the values ​​of its lower-level evaluation indicators.

[0043] Based on the same inventive concept, an embodiment of the present invention further discloses a computer-readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to implement the above-mentioned urban flood control construction evaluation method based on the three-scale hierarchical analysis method.

[0044] Based on the same inventive concept, an embodiment of the present invention further discloses a computer program product, including a computer program, characterized in that when the computer program is executed by a processor, the urban flood control construction evaluation method based on the three-scale hierarchical analysis method is implemented.

[0045] Based on the same inventive concept, an embodiment of the present invention also discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the above-mentioned urban flood control construction evaluation method based on the three-scale hierarchical analysis method. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a flow chart of the urban flood control construction evaluation method based on the three-scale analytic hierarchy process in Example 1.

[0047] Figure 2 This is the interface diagram of the indicator item management module in Example 1.

[0048] Figure 3 This is a diagram of the interface of the indicator system editor in Example 1.

[0049] Figure 4 This is a diagram of the indicator weight calculation interface in Example 1. DETAILED DESCRIPTION

[0050] The embodiment of the present invention proposes an urban flood control construction evaluation method based on a three-scale analytic hierarchy process.

[0051] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0052] like Figure 1As shown, in Example 1, a method for evaluating urban flood control construction based on a three-scale analytic hierarchy process is characterized by comprising the following steps:

[0053] S1. Collect evaluation indicators for urban flood control construction, classify and grade the evaluation indicators, and establish a general database of evaluation indicators.

[0054] The evaluation index database is the data basis for storing and managing urban flood control construction evaluation indicators. It covers evaluation indicators in multiple aspects such as infrastructure, engineering construction, emergency response capabilities, ecological impact, economic efficiency, and social benefits. Figure 2 As shown, the indicator item management module is used to classify and enter the basic information of various evaluation indicators. The indicator item management module provides operation functions such as adding, deleting, modifying, and checking, so that users can update and add new indicator data in a timely manner according to actual conditions, realize dynamic management of its entire life cycle, and provide a basis for indicator item configuration and evaluation indicator system generation.

[0055] S2. According to the evaluation object, select evaluation indicators from the total evaluation indicator library to construct an evaluation indicator system.

[0056] The selection of evaluation indicators requires consideration of both the relevance and availability of the indicators. Ideal evaluation indicators should be highly relevant to the evaluation object and have data accessibility and reliability. In actual operation, it is necessary to weigh and select from multiple candidate indicators to find the most suitable indicator combination for the current evaluation task.

[0057] This embodiment uses the AntV G6 graph engine to visualize the evaluation index system. The user can place the evaluation index in the form of components in the canvas by dragging, or delete the evaluation index from the canvas, and can display the hierarchical relationship between the evaluation indicators through connecting lines, including:

[0058] a. Convert the evaluation index data into a format suitable for visual display through data conversion. Specifically, it means converting the data in the evaluation index database into the Json format data required by the AntV G6 graph engine through data filtering, washing, and format conversion. In the graphical display, data is usually represented as nodes (representing entities, in this embodiment, evaluation indicators) and edges (representing the relationship between entities).

[0059] b. Through visual mapping, the data attributes of the evaluation indicators (such as the level of the evaluation indicators) are matched with the graphic attributes (such as the size, color, shape, etc. of the nodes).

[0060] c. Use view technology to realize the tree structure display of the evaluation index system so that users can intuitively view and understand the hierarchical relationship and importance between various evaluation indicators. The tree structure is a commonly used data structure used to represent the hierarchical relationship between entities. The evaluation index system is organized into a tree structure and displayed through a graphical interface. Each evaluation indicator can be added to or deleted from the tree structure in the form of a component. In this way, users can intuitively see the hierarchical relationship and relative importance between various evaluation indicators.

[0061] The indicator system editor supports directly building a new evaluation indicator system or single inheritance based on existing indicators. Users can add and maintain indicators by dragging and dropping them in the indicator bar, such as Figure 3 This operation mode makes the construction of the evaluation index system more intuitive and flexible, and helps to quickly respond to different evaluation needs and dynamically changing urban flood control construction conditions.

[0062] S3. Use the three-scale analytic hierarchy process to calculate the weight of each evaluation index in the evaluation index system. The specific steps include:

[0063] S31. Construct comparison matrix A according to the three-scaling method

[0064] Through formula (1), the comparison matrix A of the importance of two-by-two comparisons at the same level is constructed, as shown in formula (2);

[0065]

[0066] S32, construct judgment matrix B

[0067] By formula (3), the judgment matrix B is constructed, where the importance ranking index It represents the sum of the elements in the i-th row of the judgment matrix A, n is the number of rows or columns of the matrix, r min =min{r i} represents the minimum value of the sum of all row elements in the judgment matrix A;

[0068]

[0069] S33. Construct an antisymmetric matrix C

[0070] Based on the judgment matrix B, the antisymmetric matrix C is obtained according to formula (4), where n is the number of rows or columns of the matrix;

[0071] c ij =lgb ij (i,j=0,1,…,n-1) (4)

[0072] S34. Construct the optimal transfer matrix D

[0073] Based on the judgment matrix C, the optimal transfer matrix D is obtained according to formula (5), where n is the number of rows or columns of the matrix;

[0074]

[0075] S35. Construct a quasi-optimal consistency matrix E

[0076] Based on the optimal transfer matrix D, the quasi-optimal consistency matrix E is obtained according to formula (6);

[0077]

[0078] S36. Calculate the weight of each evaluation index

[0079] According to formula (7), the product of each row of the quasi-optimal consistency matrix E is calculated, and the product of each row is taken to the nth root to obtain Where n is the number of rows or columns of the matrix; then according to formula (8), each Divide by all The sum of i , w i Indicates the weight of each evaluation index;

[0080]

[0081] S37. Compare the evaluation index weight calculated in S36 with the trimming threshold. If the evaluation index weight is less than the trimming threshold, the evaluation index is trimmed from the evaluation index system, and its weight is proportionally distributed to other evaluation indexes that have not been trimmed in the same level; the trimming threshold is set for each evaluation object based on historical data and / or expert opinions. In order to set the trimming threshold, it is necessary to collect historical data closely related to the evaluation object, and use statistical methods such as regression analysis and principal component analysis to analyze the impact of these data. In addition, experts from the government, universities and the business community are invited to provide opinions and suggestions on the importance and applicability of evaluation indicators with the help of their professional knowledge and experience. In the process of collecting expert opinions, two commonly used and effective methods, the Delphi method and the expert scoring method, can be used.

[0082] The steps of S37 include:

[0083] S371, re-arrange the weights of the evaluation indicators obtained in S46 in ascending order, and the weight vector after the ordering is recorded as W';

[0084] S372, take out an element w from W' in order i ';

[0085] S373, if w i ' is less than the clipping threshold δ, then set wi 'The weight of the corresponding indicator item is 0, and w i ' is added to the variable sum, which is initialized to 0;

[0086] S374, when w i ' is greater than or equal to the clipping threshold δ, the clipping ends; otherwise, return to S372;

[0087] S375. After the pruning is completed, the weight ratio of the evaluation indicators that have not been pruned in the same level is calculated, and the value of the variable sum is added to the original weights of other evaluation indicators that have not been removed in the same level according to the ratio, so as to obtain the new weights of these evaluation indicators.

[0088] Through S37, the evaluation index items with less correlation with urban flood control construction are cut and their weights are set to 0. The weights of other indicators are adjusted to optimize and update the weight distribution of the overall evaluation index system, thereby streamlining and optimizing the evaluation index system. This not only improves the accuracy and efficiency of the evaluation, but also ensures that important indicators receive sufficient attention.

[0089] In this embodiment, the judgment matrix A is generated based on the weighting of the scores of domain experts and Figure 4 Input data into the interface and the evaluation index weights will be generated by the index system editor.

[0090] S4. Calculate the urban flood control construction evaluation score according to the weight and value of each evaluation index. The higher the urban flood control construction evaluation score, the better the flood control construction effect. The urban flood control construction evaluation score is the weighted sum of the values ​​of the top-level evaluation index, and the value of the evaluation index is the weighted sum of the values ​​of its lower-level evaluation index. The values ​​of the lowest-level evaluation indicators come from official statistical data, third-party research institutions, questionnaires, on-site observations, and field surveys. They can be scored on a percentage basis, or a hierarchical scoring mechanism can be used to facilitate subsequent evaluation. This embodiment adopts a percentage scoring system, and the following is a specific explanation taking the secondary evaluation indicator "water conservancy investment ratio" as an example. The water conservancy investment ratio, that is, the proportion of water conservancy investment funds to the total fiscal expenditure of the city, is a key indicator to measure the degree of attention a city pays to water conservancy construction. According to the different ranges of this ratio, corresponding scoring standards are set: if the proportion of water conservancy investment is greater than or equal to 0% and less than 1%, the score is 60 points; if the proportion of water conservancy investment is greater than or equal to 1% and less than 3%, the score is 75 points; if the proportion of water conservancy investment is greater than or equal to 3% and less than 5%, the score is 90 points; if the proportion of water conservancy investment is greater than or equal to 5%, the score is 100 points.

[0091] S5. Use GIS (Geographic Information System) to visually display the evaluation results on a map.

[0092] GIS is a specific and very important spatial information system in the existing technology. It is a technical system that collects, stores, manages, calculates, analyzes, displays and describes relevant geographical distribution data in the whole or part of the earth's surface space with the support of computer hardware and software systems.

[0093] Preferably, in this embodiment, multi-source data fusion technology is used to integrate, process and convert the data (evaluation indicators, scores corresponding to the evaluation indicators, geographic spatial information, etc.), and convert the data into a format suitable for GIS display; combined with the evaluation indicator system, the evaluation results are finally displayed intuitively on the map using GIS. Different evaluation results can be represented by using different colors, symbols or annotations. For example, the color depth can be used to represent the urban flood control construction evaluation score or the score of a certain evaluation indicator, or the size of the symbol can be used to represent the importance of a certain evaluation indicator.

[0094] By means of the above technical scheme, the present embodiment has at least the following advantages: (1) The present embodiment can ensure the comprehensiveness and systematicness of the evaluation process and avoid missing important information by collecting, classifying and grading evaluation indicators and establishing an evaluation indicator database; it also helps to conveniently find and apply evaluation indicators and improve the efficiency of building the evaluation system. (2) The present embodiment allows the selection of relevant indicators from the evaluation indicator database according to the specific evaluation object to build a targeted evaluation indicator system. This flexibility enables the evaluation method to adapt to the flood control needs and environmental characteristics of different evaluation objects, thereby improving the pertinence and practicality of the evaluation. (3) The three-scale analytic hierarchy process (AHP) adopted in the present embodiment simplifies the fine scale division of the traditional nine-scale analytic hierarchy process (AHP), reduces the difficulty of expert decision-making, improves the efficiency of decision-making, and reduces the influence of subjectivity on the evaluation results. This method not only enables experts to make decisions more easily, but also speeds up the decision-making process by reducing the complexity of the judgment matrix, while avoiding frequent consistency checks and adjustments. More importantly, it reduces the influence of subjective factors in weight distribution, thereby enhancing the objectivity of the evaluation and ensuring the fairness and accuracy of the evaluation results.

[0095] The evaluation objects can be administrative divisions at different levels, including but not limited to cities, counties, and districts.

[0096] In order to verify the evaluation effect of the urban flood control construction evaluation method based on the three-scale analytic hierarchy process, this embodiment takes Wudi County, Binzhou City as the evaluation target to evaluate the urban flood control construction. According to the three-scale analytic hierarchy process proposed in this embodiment, three experts are used to determine the weights of the evaluation indicators, and the indicator system shown in Table 1 is obtained, including two first-level indicators of basic engineering construction and non-engineering measures, covering 8 and 9 second-level indicators respectively.

[0097] Table 1 Evaluation system of urban flood control construction and its weight coefficients of various indicators and indicator characterization values

[0098]

[0099] When the three-scale analytic hierarchy process of this embodiment is used to generate the indicator weights, all the indicator weights in Table 1 exceed the clipping threshold, so no clipping is required. The urban flood control construction evaluation score is the weighted sum of the values ​​of the first-level evaluation indicators, and the values ​​of the first-level evaluation indicators are the weighted sum of the values ​​of the second-level evaluation indicators. The score of Wudi County, Binzhou City is 86.347, and its urban flood control construction effect is relatively good.

[0100] This embodiment also discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the urban flood control construction evaluation method based on the three-scale hierarchical analysis method is implemented.

[0101] The embodiment of the present invention further discloses a computer program product, including a computer program. When the computer program is executed by a processor, the urban flood control construction evaluation method based on the three-scale hierarchical analysis method is implemented.

[0102] This embodiment also discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the above-mentioned urban flood control construction evaluation method based on the three-scale hierarchical analysis method.

[0103] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for evaluating urban flood control construction based on a three-scale analytic hierarchy process, characterized in that: The following steps are involved: S1. Collect evaluation indicators of urban flood control construction, classify and grade the evaluation indicators, and establish a general database of evaluation indicators; S2. Select evaluation indicators from the evaluation indicator database according to the evaluation object and construct an evaluation indicator system; S3. Use the three-scale analytic hierarchy process to calculate the weight of each evaluation index in the evaluation index system; S4. Calculate the urban flood control construction evaluation score based on the weight and value of each evaluation indicator.

2. The urban flood control construction evaluation method based on the three-scale analytic hierarchy process as claimed in claim 1 is characterized in that: The steps of S3 include: S31. Construct comparison matrix A according to the three-scaling method Through formula (1), the comparison matrix A of the importance of pairwise comparison at the same level is constructed, as shown in formula (2); S32, construct judgment matrix B By formula (3), the judgment matrix B is constructed, where the importance ranking index It represents the sum of the elements in the i-th row of the judgment matrix A, n is the number of rows or columns of the matrix, r min =min{r i } represents the minimum value of the sum of all row elements in the judgment matrix A; S33. Construct an antisymmetric matrix C Based on the judgment matrix B, the antisymmetric matrix C is obtained according to formula (4), where n is the number of rows or columns of the matrix; c ij =lgb ij (i,j=0,1,…,n-1) (4) S34. Construct the optimal transfer matrix D Based on the judgment matrix C, the optimal transfer matrix D is obtained according to formula (5), where n is the number of rows or columns of the matrix; S35. Construct a quasi-optimal consistency matrix E Based on the optimal transfer matrix D, the quasi-optimal consistency matrix E is obtained according to formula (6); S36. Calculate the weight of each evaluation index According to formula (7), the product of each row of the quasi-optimal consistency matrix E is calculated, and the product of each row is taken to the nth root to obtain Where n is the number of rows or columns of the matrix; then according to formula (8), each Divide by all The sum of i , w i Indicates the weight of each evaluation index; 3. The urban flood control construction evaluation method based on the three-scale analytic hierarchy process as claimed in claim 2 is characterized in that: The S36 also includes: S37. Compare the evaluation index weight calculated in S36 with the trimming threshold. If the evaluation index weight is less than the trimming threshold, trim the evaluation index from the evaluation index system, and distribute its weight in proportion to other evaluation indexes at the same level that have not been trimmed. The trimming threshold is set for each evaluation object based on historical data and / or expert opinions.

4. The urban flood control construction evaluation method based on the three-scale analytic hierarchy process as claimed in claim 3 is characterized in that: The steps of S37 include: S371, re-arrange the weights of the evaluation indicators obtained in S46 in ascending order, and the weight vector after the ordering is recorded as W'; S372, take out an element w from W' in order i '; S373, if w i ' is less than the clipping threshold δ, then set w i 'The corresponding indicator item weight is 0, and w i ' is added to the variable sum, which is initialized to 0; S374, when w i ' is greater than or equal to the clipping threshold δ, the clipping ends; otherwise, return to S372; S375. After the pruning is completed, the weight ratio of the evaluation indicators that have not been pruned in the same level is calculated, and the value of the variable sum is added to the original weights of other evaluation indicators that have not been removed in the same level according to the ratio, so as to obtain the new weights of these evaluation indicators.

5. The urban flood control construction evaluation method based on the three-scale analytic hierarchy process as claimed in claim 1 is characterized in that: In S2, the AntV G6 graph engine is used to visualize the evaluation index system. Users can place evaluation indicators as components in the canvas by dragging and dropping, or delete evaluation indicators from the canvas, and can display the hierarchical relationship between evaluation indicators through connecting lines.

6. The urban flood control construction evaluation method based on the three-scale analytic hierarchy process as claimed in claim 1 is characterized in that: The S4 also includes: S5. Use GIS to display the assessment results on a map.

7. The urban flood control construction evaluation method based on the three-scale analytic hierarchy process as claimed in claim 1 is characterized in that: In S4, the urban flood control construction evaluation score is the weighted sum of the values ​​of the highest-level evaluation indicators, and the value of the evaluation indicator is the weighted sum of the values ​​of its lower-level evaluation indicators.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the urban flood control construction evaluation method based on the three-scale analytic hierarchy process according to any one of claims 1 to 7 is implemented.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the urban flood control construction evaluation method based on the three-scale hierarchical analysis method described in any one of claims 1 to 7 is implemented.

10. A computer device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the urban flood control construction evaluation method based on the three-scale hierarchical analysis method as described in any one of claims 1 to 7.

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