Method and device for comprehensively evaluating health condition of drainage pipe network and medium

Abstract

The invention discloses a comprehensive evaluation method and device for the health condition of a drainage pipe network and a medium, and relates to the technical field of drainage monitoring, and the method mainly comprises the steps: carrying out the construction of a judgment matrix for each evaluation element of a criterion layer based on a relative importance score between factors; obtaining a maximum characteristic value of the judgment matrix and a corresponding characteristic vector thereof, and performing normalization processing to form a weight vector of each evaluation element; establishing a fuzzy evaluation set for each evaluation element and the corresponding evaluation item, and determining a membership degree vector of each evaluation item in the index layer to each grade of the fuzzy evaluation set; performing synthesis operation on each evaluation item in the evaluation elements based on a fuzzy operator to obtain a fuzzy comprehensive evaluation result of the corresponding evaluation element; and according to the fuzzy comprehensive evaluation result of each evaluation element, combining the weight vector of each evaluation element, and performing synthesis again to obtain a comprehensive evaluation result of the health condition of the drainage pipe network. The operation efficiency and the service level of the drainage pipe network are improved.

Description

Technical Field

[0001] The invention relates to the technical field of drainage monitoring, and specifically discloses a method, a device and a medium for comprehensively evaluating the health status of a drainage network. Background Art

[0002] In the field of water environment governance technology, the current methods for assessing the health status of drainage networks have many shortcomings. First, traditional assessment methods often ignore fuzziness and uncertainty factors, such as environmental changes and human interference, which leads to inaccurate and low reliability of assessment results. Secondly, the existing regulatory assessment methods are difficult to meet the needs of urban planning and management for the overall health status assessment of the drainage network within the plot. Usually, only a single pipe section is evaluated, which cannot fully reflect the health level of the entire drainage network system. In addition, these methods also generally have problems such as low detection efficiency, high cost, and too single evaluation indicators, which limits their effectiveness and scope in practical applications. Therefore, there is an urgent need for a new method that can comprehensively consider multiple factors and comprehensively assess the health status of the drainage network. Summary of the invention

[0003] In order to improve the detection efficiency of drainage pipe network health supervision and assessment and reduce the supervision cost, the present invention proposes a method for comprehensive evaluation of the health status of drainage pipe network, including the following steps: S1: Based on the systematic and hierarchical nature of the drainage network health assessment, the model construction is divided into the target layer, the criterion layer and the indicator layer; S2: Based on the relative importance scores of various factors, a judgment matrix is ​​constructed for each evaluation element of the criterion layer; S3: Calculate the eigenvalues ​​according to the judgment matrix to obtain the maximum eigenvalue and its corresponding eigenvector, and form the weight vector of each evaluation element after normalization; S4: Establish a fuzzy evaluation set for each evaluation element and its corresponding evaluation item, and determine the membership vector of each evaluation item in the indicator layer to each level of the fuzzy evaluation set; S5: Performing a synthesis operation on each evaluation item in the evaluation element based on the fuzzy operator to obtain a fuzzy comprehensive evaluation result of the corresponding evaluation element; S6: Based on the fuzzy comprehensive evaluation results of each evaluation element, the weight vectors of each evaluation element are combined to obtain a comprehensive evaluation result of the health status of the drainage network.

[0004] Furthermore, in the step S1, the target layer is the overall goal of the comprehensive assessment of the health status of the drainage network, the criterion layer includes various assessment elements that are functionally decomposed according to the components of the drainage network, and the indicator layer further refines each assessment element into specific assessment indicators.

[0005] Furthermore, in the step S2, the relative importance scores of the factors are obtained by expert scoring.

[0006] Furthermore, after the step S3, the method further comprises the following steps: S31: Perform consistency check of the judgment matrix by calculating the consistency index of the judgment matrix and the corresponding consistency ratio.

[0007] Furthermore, the consistency index and the corresponding consistency ratio are obtained by the following formula: In the formula, is the consistency indicator, is the maximum eigenvalue, is the order of the judgment matrix, is the consistency ratio, is the average random consistency index obtained by table lookup.

[0008] Furthermore, in step S4, the membership vector is obtained by determining the membership function of each evaluation index for each evaluation level of the fuzzy evaluation set, and calculating the membership vector of a single evaluation item for each evaluation level of the fuzzy evaluation set.

[0009] Furthermore, in step S5, the fuzzy comprehensive evaluation result is obtained by the following formula: In the formula, is the weight vector of the i-th evaluation element, is the mth evaluation item in the ith evaluation element, is the fuzzy comprehensive evaluation result of the i-th evaluation element, is the fuzzy operator, is the membership vector of each assessment item in the i-th assessment element.

[0010] Furthermore, in step S6, the comprehensive evaluation result is obtained by the following formula:

[0011] In the formula, For the comprehensive evaluation results, To assess the total number of elements, is the fuzzy comprehensive evaluation result. is the weight vector.

[0012] The present invention also includes a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps of the method for comprehensively evaluating the health status of a drainage network are implemented.

[0013] Also included is a device for processing data, comprising: a memory having a computer program stored thereon; A processor is used to execute the computer program in the memory to implement the steps of the method for comprehensively evaluating the health status of a drainage network.

[0014] Compared with the prior art, the present invention has at least the following beneficial effects: (1) The method, device and medium for comprehensive evaluation of the health status of a drainage network described in the present invention provide a scientific basis for the planning, design, construction and management of urban drainage networks. By comprehensively evaluating the health status of drainage networks, the layout and design schemes are optimized, the construction quality and management level are improved, and the operation efficiency and service level of drainage networks are improved. (2) It can quickly identify problems and hidden dangers in the drainage network, accurately locate problems and develop targeted solutions through evaluation of structural defects, functional defects, sewage interception and pipe collection, rainwater and sewage diversion, etc., thus extending the service life of the network; (3) It helps improve the quality of the urban environment, reduce problems such as sewage overflow and rainwater waterlogging, and reduce the risk of environmental pollution, thereby improving the quality of life of residents and promoting the sustainable development of the city; (4) Combining the analytic hierarchy process with fuzzy mathematics theory, it not only highlights the key points but also takes into account the uncertainty and fuzziness factors, making the evaluation results more in line with the actual situation and significantly improving the accuracy and reliability of the evaluation; (5) Break through the limitations of traditional pipe section assessment, realize the overall health status assessment of the drainage network within the designated area, comprehensively cover all aspects of the drainage network, and ensure the integrity of the assessment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A step-by-step diagram of a method for comprehensive evaluation of the health status of a drainage network. DETAILED DESCRIPTION

[0016] The following are specific embodiments of the present invention and the accompanying drawings to further describe the technical solution of the present invention, but the present invention is not limited to these embodiments.

[0017] The drainage network is an important part of urban infrastructure, and its health directly affects the city's water environment quality and residents' quality of life. In order to scientifically evaluate the health of the drainage network, this embodiment proposes a comprehensive evaluation method based on the analytic hierarchy process (AHP) and fuzzy mathematics theory. This method divides the drainage network evaluation problem into the target layer, the criterion layer, and the indicator layer, and combines expert scoring and data processing technology to achieve a comprehensive evaluation of the overall health of the drainage network. Figure 1As shown, the method for comprehensive evaluation of the health status of a drainage network proposed in the present invention mainly includes the following steps: S1: Based on the systematic and hierarchical nature of the drainage network health assessment, the model construction is divided into the target layer, the criterion layer and the indicator layer; S2: Based on the relative importance scores of various factors, a judgment matrix is ​​constructed for each evaluation element of the criterion layer; S3: Calculate the eigenvalues ​​according to the judgment matrix to obtain the maximum eigenvalue and its corresponding eigenvector, and form the weight vector of each evaluation element after normalization; S4: Establish a fuzzy evaluation set for each evaluation element and its corresponding evaluation item, and determine the membership vector of each evaluation item in the indicator layer to each level of the fuzzy evaluation set; S5: Performing a synthesis operation on each evaluation item in the evaluation element based on the fuzzy operator to obtain a fuzzy comprehensive evaluation result of the corresponding evaluation element; S6: Based on the fuzzy comprehensive evaluation results of each evaluation element, the weight vectors of each evaluation element are combined to obtain a comprehensive evaluation result of the health status of the drainage network.

[0018] In the assessment of the health status of the drainage network, it is first necessary to clarify the assessment objectives, criteria and specific indicators. Among them, the objective layer is the "comprehensive assessment of the health status of the drainage network", and the criterion layer includes four assessment elements: sewage interception and pipe collection, rainwater and sewage separation, drainage facilities and pipeline inspection. The indicator layer is a further subdivision of each assessment element, such as the "internal sewage network access status of sewage generating units" under sewage interception and pipe collection.

[0019] The process of building a hierarchical model is as follows: Target layer: Set the overall goal as “comprehensive assessment of the health status of the drainage network”.

[0020] Criteria layer: Based on the functional decomposition of the drainage network, four assessment elements are determined: sewage interception and pipelining, rainwater and sewage diversion, drainage facilities and pipeline inspection.

[0021] Indicator layer: For each assessment element, specific evaluation indicators are refined. For example, for sewage interception and collection, the sewage pipe network access rate and sewage collection efficiency can be considered; for rainwater and sewage separation, the rainwater pipe network coverage rate and mixed connection ratio can be considered.

[0022] The establishment of this hierarchical structure laid the foundation for subsequent weight calculation and fuzzy evaluation.

[0023] After clarifying the construction of the model framework, in order to quantify the relative importance of each evaluation element, the judgment matrix is ​​constructed by expert scoring. Assume that five experts in the field of drainage pipe network are invited to participate in the scoring. Each expert compares the four evaluation elements of the criterion layer in pairs based on experience and gives a relative importance score. For example: Assume that the evaluation element is (Sewage interception and pipe collection), (rainwater and sewage separation), (Drainage facilities), (Pipeline inspection).

[0024] Constructing a judgment matrix , where the matrix elements Indicates the importance of the jth evaluation element relative to the ith evaluation element. For example, if , indicating that the importance of intercepting sewage and placing it in a pipe relative to rainwater and sewage diversion is "relatively strong" (assuming there are four levels of importance, weak, relatively weak, relatively strong, and strong, represented by numbers 1-4 respectively). Based on this, the judgment matrix can be obtained based on the importance of each evaluation element. .

[0025] By judging the matrix Calculate the eigenvalue and get the maximum eigenvalue And its corresponding eigenvector. Then, the eigenvector is normalized to obtain the weight vector of each evaluation element.

[0026] The specific calculation process is as follows:

[0027] 1. Calculate the product of each row of the judgment matrix: In the formula, is the product of the elements in the i-th row, is the eigenvalue of the element in the i-th row and j-th column, is the total number of columns.

[0028] 2. Calculation of Second root: In the formula, for of Root.

[0029] 3. Normalize vector W: In the formula, is the result of normalizing vector W.

[0030] Finally, the weight vector .

[0031] In addition, the judgment matrix needs to be checked for consistency. The calculation formulas for the consistency index CI and the consistency ratio CR are: Among them, RI is the average random consistency index, which can be obtained by looking up the table, and n is the order of the judgment matrix. If CR < 0.1, the judgment matrix is ​​considered to have satisfactory consistency.

[0032] For each evaluation element and its corresponding evaluation item, a fuzzy evaluation set is established. For example, let the fuzzy evaluation set be U = {excellent, good, average, poor, very poor}. For each evaluation item, determine its membership function for each level of the fuzzy evaluation set.

[0033] Assuming that the actual value of a certain evaluation item is x, its membership function can be a triangular membership function or a Gaussian membership function. Taking the triangular membership function as an example, its definition is as follows: Through the above method, the membership vector of a single evaluation item for each level of the fuzzy evaluation set is calculated. are the left, middle, and right boundaries in the triangle membership function.

[0034] Then, for a certain evaluation element, let it contain m evaluation items, where the weight vector of the i-th evaluation item is Through the synthesis operation of fuzzy operators, the fuzzy comprehensive evaluation result of the evaluation element is obtained.

[0035] The specific calculation formula is as follows: in, is the fuzzy comprehensive evaluation result of the i-th evaluation element, is the fuzzy operator, is the membership vector of each evaluation item in the i-th evaluation element. Commonly used fuzzy operators include weighted average operator, take the largest operator and take the smallest operator. Assuming that the weighted average operator is used, the calculation formula is: in, is the comprehensive evaluation result of the jth level, is the weight of the i-th evaluation element, is the membership vector of the jth rating item in the ith rating element.

[0036] Based on the above, we set up a drainage network health assessment evaluation elements, and the weight vector of each evaluation element is The fuzzy comprehensive evaluation results of all evaluation elements are synthesized again to obtain the comprehensive evaluation results of the health status of the drainage network.

[0037] The specific calculation formula is as follows:

[0038] In the formula, For the comprehensive evaluation results, To assess the total number of elements, is the fuzzy comprehensive evaluation result. is the weight vector.

[0039] At the same time, the present invention also includes a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the method for comprehensively evaluating the health status of a drainage network are implemented.

[0040] Also included is a device for processing data, comprising: a memory having a computer program stored thereon; A processor is used to execute the computer program in the memory to implement the steps of the method for comprehensively evaluating the health status of a drainage network.

[0041] In order to verify the effectiveness of this method, a plot of land in a city was selected as the evaluation object. Through field surveys, sensor monitoring and geographic information systems (GIS), relevant data of the drainage network were collected. According to the above steps, the hierarchical model construction, judgment matrix construction, weight calculation, fuzzy evaluation set establishment, fuzzy comprehensive evaluation and comprehensive result calculation were completed in sequence.

[0042] The evaluation results show that the overall health status of the drainage network in this plot is rated as "good", with high scores for sewage interception and drainage and rainwater and sewage diversion, and low scores for drainage facilities and pipeline inspection. Based on the evaluation results, targeted improvement suggestions were put forward, such as strengthening the maintenance of drainage facilities and optimizing the frequency of pipeline inspection.

[0043] In summary, the method, device and medium for comprehensive evaluation of the health status of drainage pipe networks proposed in the present invention provide a scientific basis for the planning, design, construction and management of urban drainage pipe networks. By comprehensively evaluating the health status of drainage pipe networks, optimizing layout and design schemes, improving construction quality and management level, and improving the operation efficiency and service level of drainage pipe networks.

[0044] It can quickly discover problems and hidden dangers in the drainage network, accurately locate problems and develop targeted solutions through assessments of structural defects, functional defects, sewage interception and pipelining, and rainwater and sewage diversion, thereby extending the service life of the network.

[0045] It helps to improve the quality of the urban environment, reduce problems such as sewage overflow and rainwater waterlogging, and reduce the risk of environmental pollution, thereby improving the quality of life of residents and promoting the sustainable development of the city.

[0046] Combining the analytic hierarchy process with fuzzy mathematics theory, it not only highlights the key points but also takes into account the uncertainty and fuzziness factors, making the evaluation results more in line with the actual situation and significantly improving the accuracy and reliability of the evaluation. It breaks through the limitations of traditional pipe section evaluation, realizes the overall health status evaluation of the drainage network within the designated area, comprehensively covers all aspects of the drainage network, and ensures the integrity of the evaluation results.

[0047] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0048] In addition, in the present invention, descriptions such as "first", "second", "one", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0049] In the present invention, unless otherwise clearly specified and limited, the terms "connection", "fixation", etc. should be understood in a broad sense. For example, "fixation" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0050] In addition, the technical solutions between the various embodiments of the present invention can be combined with each other, but it must be based on the fact that ordinary technicians in the field can implement it. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

Claims

1. A method for comprehensive evaluation of the health status of a drainage network, characterized in that: Includes steps: S1: Based on the systematic and hierarchical nature of the drainage network health assessment, the model construction is divided into the target layer, the criterion layer and the indicator layer; S2: Based on the relative importance scores of various factors, a judgment matrix is ​​constructed for each evaluation element of the criterion layer; S3: Calculate the eigenvalues ​​according to the judgment matrix to obtain the maximum eigenvalue and its corresponding eigenvector, and form the weight vector of each evaluation element after normalization; S4: Establish a fuzzy evaluation set for each evaluation element and its corresponding evaluation item, and determine the membership vector of each evaluation item in the indicator layer to each level of the fuzzy evaluation set; S5: Performing a synthesis operation on each evaluation item in the evaluation element based on the fuzzy operator to obtain a fuzzy comprehensive evaluation result of the corresponding evaluation element; S6: Based on the fuzzy comprehensive evaluation results of each evaluation element, the weight vectors of each evaluation element are combined to obtain a comprehensive evaluation result of the health status of the drainage network.

2. A method for comprehensive evaluation of the health status of a drainage network as claimed in claim 1, characterized in that: In the step S1, the target layer is the overall goal of the comprehensive assessment of the health status of the drainage network, the criterion layer includes various assessment elements that are functionally decomposed according to the components of the drainage network, and the indicator layer further refines each assessment element into specific assessment indicators.

3. A method for comprehensive evaluation of the health status of a drainage network as claimed in claim 1, characterized in that: In the step S2, the relative importance scores of the factors are obtained by expert scoring.

4. A method for comprehensive evaluation of the health status of a drainage network as claimed in claim 1, characterized in that: After the S3 step, the following steps are further included: S31: Perform consistency check of the judgment matrix by calculating the consistency index of the judgment matrix and the corresponding consistency ratio.

5. A method for comprehensive evaluation of the health status of a drainage network as claimed in claim 4, characterized in that: The consistency index and the corresponding consistency ratio are obtained by the following formula: In the formula, is the consistency indicator, is the maximum eigenvalue, is the order of the judgment matrix, is the consistency ratio, is the average random consistency index obtained by table lookup.

6. A method for comprehensive evaluation of the health status of a drainage network as claimed in claim 1, characterized in that: In step S4, the membership vector is obtained by determining the membership function of each evaluation index for each evaluation level of the fuzzy evaluation set, and calculating the membership vector of a single evaluation item for each evaluation level of the fuzzy evaluation set.

7. A method for comprehensive evaluation of the health status of a drainage network as claimed in claim 1, characterized in that: In step S5, the fuzzy comprehensive evaluation result is obtained by the following formula: In the formula, is the weight vector of the i-th evaluation element, is the mth evaluation item in the ith evaluation element, is the fuzzy comprehensive evaluation result of the i-th evaluation element, is the fuzzy operator, is the membership vector of each assessment item in the i-th assessment element.

8. A method for comprehensive evaluation of the health status of a drainage network as claimed in claim 7, characterized in that: In step S6, the comprehensive evaluation result is obtained by the following formula: ； In the formula, For comprehensive evaluation results, To assess the total number of elements, is the fuzzy comprehensive evaluation result. is the weight vector.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the comprehensive evaluation method described in any one of claims 1 to 8 are implemented.

10. A device for processing data, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the comprehensive evaluation method according to any one of claims 1 to 8.

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