Comprehensive evaluation method, device and equipment for health condition of urban rainwater pipe network system

Abstract

The invention relates to the technical field of ecological environmental protection, and discloses a comprehensive evaluation method, device and equipment for health conditions of an urban rainwater pipe network system, and the method comprises the steps: obtaining key influence factors of the health conditions of urban rainwater pipes, and screening a plurality of comprehensive evaluation indexes from the key influence factors to construct a hierarchical index system; performing hierarchical score assignment on each comprehensive evaluation index in the hierarchical index system; determining the comprehensive weight of each comprehensive evaluation index in the hierarchical index system; calculating the comprehensive evaluation index of the hierarchical index system based on the grading assignment and the comprehensive weight of each comprehensive evaluation index; and comprehensively evaluating the health condition of the urban rainwater pipe network system by adopting the comprehensive evaluation index. According to the method, comprehensive evaluation of the health condition of the rainwater pipe network system on the regional level is achieved, the evaluation result can comprehensively and directly reflect actual problems existing in a specific pipeline, and targeted rainwater pipe network key problem analysis and subsequent planning and design guidance are facilitated.

Description

Technical Field

[0001] The present invention relates to the field of ecological environmental protection technology, and in particular to a method, device and equipment for comprehensively evaluating the health status of a rainwater pipe network system in an urban area. Background Art

[0002] The rainwater pipe network is an important infrastructure for draining rainwater from the ground and preventing waterlogging disasters. The health of the rainwater pipe network refers to the state in which it can stably and continuously complete its predetermined functions under the specified time and conditions, and does not have a negative impact on society, economy, and environment. If the health of the rainwater pipe network is not good, it will not be able to fully exert its due drainage capacity and efficiency, which will affect the normal operation order and safety of the city. As an important part of the operation and management of the urban drainage system, the rainwater pipe network needs to be scientifically analyzed for its health status, discover and solve problems in key pipelines, ensure that the rainwater pipe network system can normally perform its drainage function, and improve the health of the rainwater pipe network.

[0003] At present, the health status evaluation of rainwater pipes is mostly based on the actual inspection results of the pipes. CCTV (non-destructive testing, Closed Circuit Television, CCTV) technology and other means are used to detect the internal status of the pipes, determine the type and level of their structural defects, and evaluate the health status of the pipes according to the defects of the pipes. This evaluation method has a long cycle for pipe network inspection and high investment, and the evaluation factors are not comprehensive enough. There are also evaluations through hydraulic model simulations, using models such as InfoWorks ICM (Integrated Catchment Management, Urban Integrated Watershed Drainage Model) to simulate the operation status of the pipes. This evaluation method is mainly based on hydraulic models and other tools to simulate certain assumed working conditions. Most studies focus on waterlogging, and the evaluation results often cannot fully and directly reflect the actual problems existing in specific pipes. Summary of the invention

[0004] In view of this, the present invention provides a method, device and equipment for comprehensively evaluating the health status of a urban rainwater pipe network system to solve the problem of incomplete and inaccurate evaluation of the health status of the pipe due to failure to combine multiple factors of the pipe.

[0005] In a first aspect, the present invention provides a method for comprehensively evaluating the health status of a rainwater pipe network system in a city, the method comprising:

[0006] Obtain the key influencing factors of the health status of urban rainwater pipes, and select multiple comprehensive evaluation indicators from the key influencing factors to construct a hierarchical indicator system;

[0007] Grading and assigning points to each comprehensive evaluation indicator in the hierarchical indicator system;

[0008] Determine the comprehensive weight of each comprehensive evaluation indicator in the hierarchical indicator system;

[0009] Calculate the comprehensive evaluation index of the hierarchical indicator system based on the graded scores and comprehensive weights of each comprehensive evaluation indicator;

[0010] A comprehensive evaluation index is used to comprehensively evaluate the health status of urban rainwater pipe network systems.

[0011] The comprehensive evaluation method for the health status of an urban rainwater pipe network system provided by the present invention identifies key influencing factors of the health status of a rainwater pipe network system, screens evaluation indicators according to key factors and determines the grading and scoring of indicators, constructs an evaluation indicator system, and simultaneously determines the comprehensive weights of the evaluation indicators, clarifies the calculation method of the comprehensive evaluation index and determines the health status level. The method is a targeted, systematic and feasible comprehensive evaluation method for a rainwater pipe network system, and realizes a comprehensive evaluation of the health status of a rainwater pipe network system at the regional level. The evaluation results can comprehensively and directly reflect the actual problems existing in specific pipelines, and are conducive to carrying out targeted analysis of key issues of rainwater pipe networks and guiding subsequent planning and design, and solves the problem of incomplete and inaccurate evaluation of the health status of pipelines due to failure to combine multiple factors of pipelines.

[0012] In an optional implementation, the key influencing factors include capacity factors, maintenance factors, and system factors; the multiple comprehensive evaluation indicators include a first comprehensive evaluation indicator, a second comprehensive evaluation indicator, and a third comprehensive evaluation indicator;

[0013] Selecting multiple comprehensive evaluation indicators from key influencing factors to construct a hierarchical indicator system includes:

[0014] According to the preset indicator screening principle, a first comprehensive evaluation indicator is screened out from the capability factor, a second comprehensive evaluation indicator is screened out from the maintenance factor, and a third comprehensive evaluation indicator is screened out from the system factor;

[0015] A hierarchical indicator system is constructed based on the first comprehensive evaluation indicator, the second comprehensive evaluation indicator and the third comprehensive evaluation indicator; the hierarchical indicator system includes a target layer, a criterion layer and an indicator layer from high to low levels.

[0016] The comprehensive evaluation method for the health status of an urban rainwater pipe network system provided by the present invention selects a first comprehensive evaluation index from capacity factors, selects a second comprehensive evaluation index from maintenance factors, and selects a third comprehensive evaluation index from system factors according to a preset index screening principle; a hierarchical index system is constructed based on the first comprehensive evaluation index, the second comprehensive evaluation index, and the third comprehensive evaluation index; the hierarchical index system includes a target layer, a criterion layer, and an index layer with levels from high to low, and the selected first comprehensive evaluation index, the second comprehensive evaluation index, and the third comprehensive evaluation index comprehensively consider the key influencing factors of the pipeline, and the constructed index system is consistent with the actual pipeline situation, which provides an index basis for the subsequent evaluation of the health status of the rainwater pipeline.

[0017] In an optional implementation, the first comprehensive evaluation index includes a structural defect density index, a functional defect density index, a rainwater-sewage mixed connection density index, a pipe network design rationality index, a pipe network operation rationality index, a pipe network compliance rate index, and a pump station compliance rate index;

[0018] The second comprehensive evaluation index includes the pipeline network inspection frequency index, mechanical management and maintenance capacity index, smart management and control capacity index, personnel maintenance capacity index and mud accumulation depth index;

[0019] The third comprehensive evaluation index includes pipe network density index, pipe network connectivity index, unit area runoff control volume index and rainwater resource utilization rate index;

[0020] The structural defect density index, functional defect density index, rainwater-sewage mixed connection density index, pipe network compliance rate index, pump station compliance rate index, mechanical management and maintenance capacity index, smart management and control capacity index, personnel maintenance capacity index, mud accumulation depth index, pipe network density index, pipe network connectivity index, unit area runoff control volume index and rainwater resource utilization rate index are all calculated through the preset calculation formula;

[0021] The pipeline network design rationality index, pipeline network operation rationality index and pipeline network inspection frequency index are all obtained through actual investigation.

[0022] The comprehensive evaluation method for the health status of an urban rainwater pipe network system provided by the present invention is conducive to comprehensively and intuitively evaluating the health status of a rainwater pipe network through a structural defect density index, a functional defect density index, a rainwater-sewage mixed connection density index, a pipe network design rationality index, a pipe network operation rationality index, a pipe network compliance rate index, a pump station compliance rate index, a mechanical maintenance capacity index, an intelligent management and control capacity index, a personnel maintenance capacity index, a mud accumulation depth index, a pipe network density index, a pipe network connectivity index index, a unit area runoff control volume index, a rainwater resource utilization rate index and a pipe network patrol frequency index.

[0023] In an optional implementation, constructing a hierarchical indicator system based on the first comprehensive evaluation indicator, the second comprehensive evaluation indicator, and the third comprehensive evaluation indicator includes:

[0024] The comprehensive evaluation of the health status of urban rainwater pipe network system is determined as the target layer;

[0025] Identify capacity factors, maintenance factors and system factors as criterion layers;

[0026] The first comprehensive evaluation index corresponding to the capability factor, the second comprehensive evaluation index corresponding to the maintenance factor, and the third comprehensive evaluation index corresponding to the system factor are determined as the index layer;

[0027] A hierarchical indicator system is constructed based on the target layer, criterion layer and indicator layer.

[0028] The comprehensive evaluation method for the health status of urban rainwater pipe network system provided by the present invention includes a hierarchical indicator system of target layer, criterion layer and indicator layer, which can more accurately reflect the hierarchical structure of the indicator system and provide support for discovering and solving key problems in pipelines.

[0029] In an optional implementation, grading and scoring each comprehensive evaluation indicator in the hierarchical indicator system includes:

[0030] Determine the positive characteristics, negative characteristics and negative item characteristics of each comprehensive evaluation indicator, and obtain the corresponding positive indicators, negative indicators and negative item indicators;

[0031] Based on the preset positive indicator scoring formula and the preset reverse indicator scoring formula, the piecewise linear efficacy coefficient method and rationality judgment are used to assign points to each positive indicator, reverse indicator and deduction item indicator.

[0032] The comprehensive evaluation method for the health status of an urban rainwater pipe network system provided by the present invention determines the positive characteristics, reverse characteristics and deduction item characteristics of each comprehensive evaluation indicator, and obtains corresponding positive indicators, reverse indicators and deduction item indicators; based on a preset positive indicator scoring formula and a preset reverse indicator scoring formula, a piecewise linear efficacy coefficient method and rationality judgment are used to score each positive indicator, reverse indicator and deduction item indicator, thereby providing conditions for the subsequent calculation of a comprehensive indicator evaluation index.

[0033] In an optional implementation, determining the comprehensive weight of each comprehensive evaluation indicator in the hierarchical indicator system includes:

[0034] The expert scoring method is used to determine the weights of the target layer, the criterion layer and the indicator layer;

[0035] The judgment matrix of the hierarchical index system is constructed by using the hierarchical analysis method;

[0036] The comprehensive weight of each comprehensive evaluation indicator is determined based on the target layer weight, criterion layer weight, indicator layer weight and judgment matrix.

[0037] The comprehensive evaluation method for the health status of urban rainwater pipe network system provided by the present invention reflects the contribution of each comprehensive evaluation index based on the comprehensive weight of each comprehensive evaluation index obtained by expert scoring method and hierarchical analysis method, and provides conditions for the subsequent calculation of comprehensive index evaluation index.

[0038] In an optional implementation, the comprehensive evaluation index of the evaluation system based on the grading and comprehensive weight calculation of each comprehensive evaluation indicator includes:

[0039] a. Based on the graded scoring and comprehensive weight of each comprehensive evaluation indicator, a multi-indicator comprehensive evaluation method is used to weight each layer in the order of indicator layer, criterion layer and target layer to obtain a comprehensive evaluation index of the indicator evaluation system.

[0040] The comprehensive evaluation method for the health status of urban rainwater pipe network systems provided by the present invention adopts a multi-indicator comprehensive evaluation method based on the hierarchical scoring and comprehensive weight of each comprehensive evaluation indicator, and weights each layer in the order of indicator layer, criterion layer and target layer. The comprehensive evaluation index of the indicator evaluation system can determine the health status level of the rainwater pipe, realize the comprehensive evaluation of the health status of the rainwater pipe network system at the regional level, and is conducive to carrying out targeted analysis of key issues of the rainwater pipe network and guiding subsequent planning and design.

[0041] In a second aspect, the present invention provides a device for comprehensively evaluating the health status of a rainwater pipe network system in a city, the device comprising:

[0042] The indicator system construction module is used to obtain the key influencing factors of the health status of urban rainwater pipes, and select multiple comprehensive evaluation indicators from the key influencing factors to construct a hierarchical indicator system;

[0043] The grading and scoring module is used to grade and score each comprehensive evaluation indicator in the hierarchical indicator system;

[0044] Comprehensive weight calculation module, used to determine the comprehensive weight of each comprehensive evaluation indicator in the hierarchical indicator system;

[0045] A comprehensive evaluation index calculation module is used to calculate the comprehensive evaluation index of the hierarchical indicator system based on the graded scoring and comprehensive weight of each comprehensive evaluation indicator;

[0046] The comprehensive evaluation module is used to comprehensively evaluate the health status of urban rainwater pipe network systems using a comprehensive evaluation index.

[0047] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to execute the comprehensive evaluation method for the health status of an urban rainwater pipe network system according to the first aspect or any corresponding embodiment thereof.

[0048] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the method for comprehensively evaluating the health status of an urban rainwater pipe network system according to the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 is a flow chart of a comprehensive evaluation method for the health status of a urban rainwater pipe network system according to an embodiment of the present invention;

[0051] Figure 2 is a flow chart of another comprehensive evaluation method for the health status of a town rainwater pipe network system according to an embodiment of the present invention;

[0052] Figure 3 is a flow chart of another comprehensive evaluation method for the health status of a town rainwater pipe network system according to an embodiment of the present invention;

[0053] Figure 4 is a flow chart of another comprehensive evaluation method for the health status of a rainwater pipe network system in a city according to an embodiment of the present invention;

[0054] Figure 5 is a schematic diagram of a comprehensive evaluation index system for the health status of an urban rainwater pipe network system according to an embodiment of the present invention;

[0055] Figure 6 is a structural block diagram of a device for comprehensively evaluating the health status of a rainwater pipe network system in a city according to an embodiment of the present invention;

[0056] Figure 7 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0058] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0059] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it 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 it can be indirectly connected through an intermediate medium, it can also be the internal connection of two components, it can be a wireless connection, or it can be a wired connection. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0060] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0061] According to an embodiment of the present invention, an embodiment of a method for comprehensive evaluation of the health status of an urban rainwater pipe network system is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown here.

[0062] In this embodiment, a comprehensive evaluation method for the health status of a town rainwater pipe network system is provided, which can be used in a mobile terminal, such as a central processing unit, a server, etc. Figure 1 is a flow chart of a comprehensive evaluation method for the health status of a town rainwater pipe network system according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0063] Step S101, obtaining key influencing factors of the health status of urban rainwater pipes, and selecting multiple comprehensive evaluation indicators from the key influencing factors to construct a hierarchical indicator system.

[0064] Specifically, key influencing factors refer to the influencing factors that can reflect the health status of urban rainwater pipes, which may include capacity factors, maintenance factors and system factors. A hierarchical indicator system is constructed by selecting multiple comprehensive evaluation indicators from capacity factors, maintenance factors and system factors.

[0065] Step S102, grading and scoring each comprehensive evaluation indicator in the hierarchical indicator system.

[0066] Specifically, in order to quantify the guiding role and influence of each comprehensive evaluation indicator on the health status of the stormwater pipe, each comprehensive evaluation indicator is graded and scored.

[0067] Step S103, determining the comprehensive weight of each comprehensive evaluation indicator in the hierarchical indicator system.

[0068] Specifically, in order to evaluate the relative importance of each comprehensive evaluation indicator in the hierarchical indicator system, the expert scoring method and the hierarchical analysis method can be used to calculate the comprehensive weight of each comprehensive evaluation indicator.

[0069] Step S104, calculating the comprehensive evaluation index of the hierarchical indicator system based on the graded scores and comprehensive weights of each comprehensive evaluation indicator.

[0070] Specifically, the comprehensive evaluation index can reflect the comprehensive evaluation value of the health of the rainwater pipe network, which can be expressed as a score. The comprehensive evaluation index of the hierarchical indicator system is calculated by adopting a multi-index comprehensive evaluation method and according to the graded scoring and comprehensive weight of each comprehensive evaluation indicator.

[0071] Step S105, using a comprehensive evaluation index to comprehensively evaluate the health status of the urban rainwater pipe network system.

[0072] Specifically, the comprehensive evaluation index is used to classify the health status of the urban rainwater pipe network system, and the health status of the rainwater pipe network system is comprehensively evaluated. The specific classification method is as follows: the percentage standard classification is used, and the health status of the rainwater pipe network system is divided into grades I, II, and III corresponding to the numerical range of 0 to 100 points, corresponding to the three states of good, general, and poor, as shown in Table 1 below:

[0073] Table 1

[0074] Grading state Score range (points) Ⅰ good 70-100 Ⅱ generally 40-70 Ⅲ Poor 0-40

[0075] The comprehensive evaluation method for the health status of urban rainwater pipe network systems provided in this embodiment identifies the key influencing factors of the health status of the rainwater pipe network system, screens evaluation indicators according to the key factors and determines the index grading and scoring, constructs an evaluation indicator system, and simultaneously determines the comprehensive weights of the evaluation indicators, clarifies the calculation method of the comprehensive evaluation index and determines the health status level. It is a targeted, systematic and feasible comprehensive evaluation method for rainwater pipe network systems, which realizes the comprehensive evaluation of the health status of rainwater pipe network systems at the regional level. The evaluation results can comprehensively and directly reflect the actual problems existing in specific pipelines, which is conducive to carrying out targeted analysis of key problems of rainwater pipe networks and guiding subsequent planning and design, and solves the problem of incomplete and inaccurate evaluation of pipeline health status due to failure to combine multiple factors of pipelines.

[0076] In this embodiment, a comprehensive evaluation method for the health status of a town rainwater pipe network system is provided, which can be used in a mobile terminal, such as a central processing unit, a server, etc. Figure 2 is a flow chart of a comprehensive evaluation method for the health status of a town rainwater pipe network system according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0077] Step S201, obtaining key influencing factors of the health status of urban rainwater pipes, and selecting multiple comprehensive evaluation indicators from the key influencing factors to construct a hierarchical indicator system.

[0078] Specifically, the key influencing factors include capacity factors, maintenance factors and system factors; the multiple comprehensive evaluation indicators include a first comprehensive evaluation indicator, a second comprehensive evaluation indicator and a third comprehensive evaluation indicator; the above step S201 includes:

[0079] Step S2011, according to the preset indicator screening principle, a first comprehensive evaluation indicator is screened out from the capability factor, a second comprehensive evaluation indicator is screened out from the maintenance factor, and a third comprehensive evaluation indicator is screened out from the system factor.

[0080] In some optional implementations, the above step S2011 includes:

[0081] The first comprehensive evaluation index includes structural defect density index, functional defect density index, rainwater and sewage mixed connection density index, pipeline design rationality index, pipeline operation rationality index, pipeline compliance rate index and pump station compliance rate index; the second comprehensive evaluation index includes pipeline patrol frequency index, mechanical maintenance capacity index, intelligent management and control capacity index, personnel maintenance capacity index and mud accumulation depth index; the third comprehensive evaluation index includes pipeline density index, pipeline connectivity index index, unit area runoff control volume index and rainwater resource utilization rate index.

[0082] Step a1: structural defect density index, functional defect density index, rainwater-sewage mixed connection density index, pipe network compliance rate index, pump station compliance rate index, mechanical management and maintenance capacity index, smart management and control capacity index, personnel maintenance capacity index, mud accumulation depth index, pipe network density index, pipe network connectivity index, unit area runoff control volume index and rainwater resource utilization rate index are all calculated by preset calculation formulas. The specific calculation formulas are as follows:

[0083] Structural defect density calculation formula: S M —Structural defect density of the pipe section, S—Pipe section damage condition parameter, average score calculated by the number of defect points, L—Pipe section length (m), L i1 —Length of structural defects with longitudinal clearance greater than 1.5m (m), L i2 —Length of structural defects with longitudinal clearance greater than 1.0m and not greater than 1.5m (m), n1—Number of defects with longitudinal clearance greater than 1.5m, n2—Number of defects with longitudinal clearance greater than 1.0m and not greater than 1.5m, P i1 —Defect score for longitudinal clearance greater than 1.5m, P i2 —Defect score when the longitudinal clear distance is greater than 1.0m and not greater than 1.5m, α—Structural defect influence coefficient. When the longitudinal clear distance of the defect is greater than 1.0m and not greater than 1.5m, α=1.1.

[0084] Functional defect density calculation formula: Y M — functional defect density of the pipe section, Y—pipe section operation status parameter, average score of functional defects calculated by the number of defect points, L—pipe section length (m), L j1 — Functional defect length (m) with longitudinal clearance greater than 1.5m, L j2 —Length of functional defects with longitudinal clearance greater than 1.0m and not greater than 1.5m (m), m1—Number of defects with longitudinal clearance greater than 1.5m, m2—Number of defects with longitudinal clearance greater than 1.0m and not greater than 1.5m, P j1 —The defect score for longitudinal clearance greater than 1.5m, refer to the Technical Specification for Inspection and Evaluation of Urban Drainage Pipelines (CJJ181-2012) for specific scores; j2 —Defect score when the longitudinal clear distance is greater than 1.0m and not greater than 1.5m; β—Functional defect influence coefficient, when the longitudinal clear distance of the defect is greater than 1.0m and not greater than 1.5m, α=1.1.

[0085] Calculation formula for rainwater and sewage mixing density: M—mixing density (units / km), N—number of sewage mixing points in the rainwater pipe (units), L—length of the rainwater pipe network (km).

[0086] Calculation formula for pipeline network compliance rate: R 管网 —Pipeline network compliance rate (%), L 达标 —The length of the pipe network that meets the recurrence period standard (km), L—the length of the rainwater pipe network (km).

[0087] Pump station compliance rate calculation formula: R 泵站 — Pump station compliance rate (%), P 达标 —Number of pumping stations that meet the recurrence period standard, P—total number of pumping stations.

[0088] Mechanical maintenance capacity calculation formula: S—Mechanical maintenance capacity (km / set), L—Rainwater pipe network length (km), T 机械 —Number of mechanical maintenance equipment (sets).

[0089] Intelligent management and control capability calculation formula: J—smart management and control capability (km / set), L—rainwater pipe network length (km), T 监控 —Number of monitoring instruments and equipment (sets).

[0090] The formula for calculating personnel management and maintenance capacity is as follows: X—management capacity of personnel (km / person), L—rainwater pipe network length (km), T 人员 —Total number of maintenance personnel (persons).

[0091] Calculation formula for mud depth: H—sludge depth, h—sludge thickness (m), d—pipeline network diameter (m).

[0092] Pipeline network density calculation formula: D—Pipeline network density (km / km 2 ), L—rainwater pipe network length (km), A—built-up area (km 2 ).

[0093] Pipeline network connectivity index calculation formula: ω i =W i / W 总 , C—pipeline network connectivity index, ω i —The weight of each drainage outlet, the proportion of the drainage volume to the total water volume, l i —The length of the pipe network connected to the drain outlet, L 管网 —Total pipe network length, W i —Discharge volume of each drainage outlet, W 总 —Total discharge from each drainage outlet.

[0094] The calculation formula of runoff control volume per unit area is: G—runoff control volume per unit area (m 3 / km 2 ), V i —Rainwater storage capacity of each drainage system (m 3 ), A i —The built-up area of ​​each drainage system (km 2 ),ω i —The weight of each drainage system, the proportion of each drainage system's storage capacity to the total storage capacity, V i —Total rainwater storage capacity (m 3 ).

[0095] Calculation formula for rainwater resource utilization rate: R 利用 —Rainwater resource utilization rate (%), V 利用 —Rainwater resource utilization (m 3 ), V—Rainwater resources (m 3 ).

[0096] Step a2: The pipeline network design rationality index, pipeline network operation rationality index and pipeline network inspection frequency index are all obtained through actual investigation.

[0097] Specifically, the calculation formula for design rationality is: the calculation is carried out by deducting points for unreasonable design situations. For example, unreasonable design situations include: ① Insufficient drainage capacity of the rainwater outlet and rainwater connecting pipe ② Insufficient head difference between upstream and downstream of the inverted siphon ③ The forced drainage system is connected with the self-drainage system ④ The temporary outlet of the forced drainage system is not blocked ⑤ The ground elevation of the self-drainage system is low and the drainage distance is long ⑥ The design recurrence period is too low ⑦ The large pipe is connected to the small pipe ⑧ The broken pipe section ⑨ The reverse slope, each unreasonable design situation will be deducted 10 points.

[0098] Operation rationality calculation formula: The calculation is performed by deducting points for unreasonable operation. For example, unreasonable operation includes: ① rainwater pump station high water level operation, ② backflow at the outlet, ③ regulation and storage facilities are not in an empty state on dry days, ④ no smart rainwater information system has been established, ⑤ unreasonable selection of pump stations and grilles, ⑥ unreasonable process layout and hydraulic conditions of pump stations, ⑦ aging equipment, no backup power equipment, ⑧ pump stations, regulation and storage tanks and other equipment cannot operate normally during flood season. For each unreasonable operation, 10 points will be deducted. Pipeline network inspection frequency index calculation formula: The calculation is performed by deducting points for situations that do not meet the requirements for pipeline network inspection frequency. For example, unreasonable inspection frequency of pipeline network includes: ① external inspection of rainwater pipes once a week, ② external inspection of inspection wells once a week, ③ external inspection of stormwater outlets once a week, ④ open channel inspection once a week, ⑤ cross-river inverted siphon inspection twice a year, ⑥ discharge outlet inspection twice a year, ⑦ ditch inspection twice a year, ⑧ ancillary facility pump station inspection at least once a week when monitored by a smart water system, and at least once a day when not monitored by a smart water system; inspection of regulating reservoirs at least once a month during the flood season, at least once every two months during the non-flood season, ⑨ internal inspection of inspection wells twice a year, and ⑩ internal inspection of stormwater outlets twice a year. For each unreasonable operation, 10 points will be deducted.

[0099] Step S2012, constructing a hierarchical indicator system based on the first comprehensive evaluation indicator, the second comprehensive evaluation indicator and the third comprehensive evaluation indicator; the hierarchical indicator system includes a target layer, a criterion layer and an indicator layer from high to low levels.

[0100] In some optional implementations, the above step S2012 includes:

[0101] Step b1, determine the comprehensive evaluation of the health status of the urban rainwater pipe network system as the target layer.

[0102] Step b2, determine the capacity factors, maintenance factors and system factors as the criterion layer.

[0103] Step b3, determining the first comprehensive evaluation index corresponding to the capability factor, the second comprehensive evaluation index corresponding to the maintenance factor, and the third comprehensive evaluation index corresponding to the system factor as the index layer.

[0104] Step b4, construct a hierarchical indicator system based on the target layer, criterion layer and indicator layer. Figure 5 shown.

[0105] The comprehensive evaluation method for the health status of the urban rainwater pipe network system provided in this embodiment includes a hierarchical indicator system of target layer, criterion layer and indicator layer, which can more accurately reflect the hierarchical structure of the indicator system and provide support for discovering and solving key problems in the pipeline.

[0106] Step S202, grading and scoring each comprehensive evaluation indicator in the hierarchical indicator system.

[0107] Specifically, the above step S202 includes:

[0108] Step S2021, determine the positive characteristics, negative characteristics and deduction item characteristics of each comprehensive evaluation indicator, and obtain the corresponding positive indicators, negative indicators and deduction item indicators.

[0109] Positive indicators include: pipeline network compliance rate index, pump station compliance rate index, pipeline network density index, pipeline network connectivity index, unit area runoff control volume index and rainwater resource utilization rate index.

[0110] Negative indicators include: structural defect density index, functional defect density index, rainwater and sewage mixing density index, mechanical maintenance capacity index, intelligent management and control capacity index, personnel maintenance capacity index and mud accumulation depth index.

[0111] Point deduction indicators, that is, points will be deducted if there are unreasonable situations or situations that do not meet the requirements, include: design rationality index, operation rationality index and pipeline network inspection frequency index.

[0112] Specifically, positive indicators represent indicators of upward or forward development and growth. The larger the value of these indicators, the better the evaluation, and the smaller the value of the indicators, the worse the evaluation. Positive indicators are also called benefit indicators or large-scale indicators.

[0113] Reverse indicators are used to measure negative impacts or risks. The smaller the indicator value, the better the evaluation, and the larger the indicator value, the worse the evaluation.

[0114] The deduction index determines the quality of the evaluation based on the actual score.

[0115] Step S2022, based on the preset positive indicator scoring formula and the preset reverse indicator scoring formula, each positive indicator, reverse indicator and deduction item indicator is scored using the piecewise linear efficacy coefficient method and rationality judgment.

[0116] Among them, the preset positive indicator scoring formula is as follows:

[0117]

[0118] The preset reverse indicator scoring formula is as follows:

[0119]

[0120] Where: P i —The score of comprehensive evaluation index, P il —The lower limit score of the category standard of the comprehensive evaluation index, P ih—The upper limit score of the category standard of the comprehensive evaluation index, C i —Actual value of comprehensive evaluation index, C il —The lower limit of the classification of the actual data of the evaluation index, C ih —The upper limit of the classification level of the actual data of the comprehensive evaluation indicators.

[0121] The structural defect density index, functional defect density index, rainwater and sewage mixed connection density index, pipe network design rationality index, pipe network operation rationality index, pipe network compliance rate index, pump station compliance rate index, pipe network patrol frequency index, mechanical management and maintenance capacity index, smart management and control capacity index, personnel maintenance capacity index, mud accumulation depth index, pipe network density index, pipe network connectivity index, unit area runoff control volume index and rainwater resource utilization rate index are shown in Table 2 below:

[0122] Table 2

[0123]

[0124]

[0125]

[0126] Step S203, determine the comprehensive weight of each comprehensive evaluation indicator in the hierarchical indicator system. Figure 1 Step S103 of the illustrated embodiment will not be described in detail here.

[0127] Step S204, calculate the comprehensive evaluation index of the hierarchical indicator system based on the graded scores and comprehensive weights of each comprehensive evaluation indicator. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0128] Step S205: Comprehensively evaluate the health status of the urban rainwater pipe network system using a comprehensive evaluation index. Figure 1 Step S105 of the illustrated embodiment will not be described in detail here.

[0129] The comprehensive evaluation method for the health status of the urban rainwater pipe network system provided in this embodiment selects the first comprehensive evaluation index from the capacity factor, the second comprehensive evaluation index from the maintenance factor, and the third comprehensive evaluation index from the system factor according to the preset index screening principle; constructs a hierarchical index system based on the first comprehensive evaluation index, the second comprehensive evaluation index, and the third comprehensive evaluation index; the hierarchical index system includes a target layer, a criterion layer, and an index layer with levels from high to low. The selected first comprehensive evaluation index, the second comprehensive evaluation index, and the third comprehensive evaluation index comprehensively consider the key influencing factors of the pipeline. The constructed index system is consistent with the actual pipeline situation, providing an index basis for the subsequent evaluation of the health status of the rainwater pipeline. The positive and negative characteristics of each comprehensive evaluation index are judged, and the corresponding positive and negative indicators are obtained; based on the preset positive indicator scoring formula and the preset negative indicator scoring formula, the piecewise linear power coefficient method is used to score each positive indicator and negative indicator, providing conditions for the subsequent calculation of the comprehensive indicator evaluation index.

[0130] In this embodiment, a comprehensive evaluation method for the health status of a town rainwater pipe network system is provided, which can be used in a mobile terminal, such as a central processing unit, a server, etc. Figure 3 is a flow chart of a comprehensive evaluation method for the health status of a town rainwater pipe network system according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0131] Step S301, obtain the key influencing factors of the health status of urban rainwater pipes, and select multiple comprehensive evaluation indicators from the key influencing factors to construct a hierarchical indicator system. Figure 2 Step S201 of the illustrated embodiment will not be described in detail here.

[0132] Step S302: grade and assign points to each comprehensive evaluation indicator in the hierarchical indicator system. Figure 2 Step S202 of the illustrated embodiment will not be described in detail here.

[0133] Step S303, determining the comprehensive weight of each comprehensive evaluation indicator in the hierarchical indicator system.

[0134] Specifically, the above step S303 includes:

[0135] Step S3031, using expert scoring method to determine the target layer weight, criterion layer weight and indicator layer weight.

[0136] Specifically, experts are used to score, and the importance of the criterion layer to the target layer and the indicator layer to the criterion layer in the hierarchical indicator system is judged and scored respectively. The scoring rules are as follows: if one factor is absolutely more important than another factor, the scale is 9; if one factor is strongly more important than another factor, the scale is 7; if one factor is more important than another factor, the scale is 5; if one factor is slightly more important than another factor, the scale is 3; if one factor is as important as another factor, the scale is 1; 2, 4, 6, and 8 represent the middle value of two adjacent judgments; if one factor is absolutely unimportant than another factor, the scale is 1 / 9, and so on. An example of factor indicator scoring is shown in Table 3 below:

[0137] Table 3 Example of scoring of system factor indicators

[0138]

[0139] In the above example, the pipeline density index is scored 3 compared with the pipeline connectivity index index, which means that the pipeline density index is slightly more important than the pipeline connectivity index; the pipeline connectivity index is scored 1 / 3 compared with the pipeline density index, which means that the pipeline connectivity index is slightly less important than the pipeline density index.

[0140] Compared with the runoff control volume per unit area index, the pipe network density index is scored 5, which means that the pipe network density index is more important than the runoff control volume per unit area index; compared with the pipe network density index, the runoff control volume per unit area index is scored 1 / 5, which means that the runoff control volume per unit area index is less important than the pipe network density index.

[0141] Compared with the rainwater resource utilization rate index, the pipe network density index scored 7, which means that the pipe network density index is more important than the rainwater resource utilization rate index; compared with the pipe network density index, the rainwater resource utilization rate index scored 1 / 7, which means that the rainwater resource utilization rate index is less important than the pipe network density index.

[0142] Step S3032, constructing a judgment matrix of a hierarchical indicator system using the hierarchical analysis method.

[0143] Specifically, let the judgment matrix of the pairwise comprehensive evaluation index be (a ij ) n×n , a ij >0,a ij =a ji , a ii =1,i,j=1,2,...,n.

[0144] Step S3033, determining the comprehensive weight of each comprehensive evaluation indicator based on the target layer weight, the criterion layer weight, the indicator layer weight and the judgment matrix.

[0145] Specifically, the square root method is used to calculate the maximum characteristic root and vector of the constructed judgment matrix, specifically: calculate the product M of each row element of the judgment matrix of the pairwise comprehensive evaluation index i , Calculate M i The nth root W i , Pair Vector Normalize it and get That is, we get the eigenvector W = (W1, W2, ..., W n );Calculate the judgment matrix of the pairwise comprehensive evaluation index to obtain the maximum characteristic root λ max , the formula is:

[0146] Hierarchical single sorting and consistency test: Hierarchical single sorting is to calculate the eigenvector W, which is the relative importance weight of the elements at the same level to the elements at the previous level. The test index is the consistency index of the pairwise judgment matrix. Calculate the consistency ratio RI is a random consistency index. When CR < 0.1, the judgment matrix is ​​considered to have satisfactory consistency. Otherwise, the values ​​of the matrix elements need to be re-judged. The consistency test results are shown in Table 4 below:

[0147] Table 4

[0148] n 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 RI 0 0 0.52 0.89 1.12 1.26 1.36 1.41 1.46 1.49 1.52 1.54 1.56 1.58 1.59

[0149] The comprehensive weight of each comprehensive evaluation index is determined by combining expert scoring and hierarchical analysis method. The results are shown in Table 5 below:

[0150] Table 5

[0151]

[0152]

[0153] Step S304, calculating the comprehensive evaluation index of the hierarchical indicator system based on the graded scores and comprehensive weights of each comprehensive evaluation indicator.

[0154] Specifically, based on the graded scoring and comprehensive weight of each comprehensive evaluation indicator, a multi-indicator comprehensive evaluation method is used to weight each layer in the order of indicator layer, criterion layer and target layer to obtain the comprehensive evaluation index of the indicator evaluation system. The calculation formula is as follows:

[0155]

[0156] Among them: A—comprehensive evaluation value of rainwater pipe network health, CW j —The weight of the j-th criterion layer, DW i—The comprehensive weight of the i-th comprehensive evaluation index, P i —The score of the i-th comprehensive evaluation index.

[0157] Step S305: Comprehensively evaluate the health status of the urban rainwater pipe network system using a comprehensive evaluation index. Figure 2 Step S205 of the illustrated embodiment will not be described in detail here.

[0158] The comprehensive evaluation method for the health status of urban rainwater pipe network system provided in this embodiment reflects the contribution of each comprehensive evaluation index based on the comprehensive weight of each comprehensive evaluation index obtained by expert scoring method and hierarchical analysis method, and provides conditions for the subsequent calculation of comprehensive index evaluation index. Based on the hierarchical scoring and comprehensive weight of each comprehensive evaluation index, a multi-index comprehensive evaluation method is adopted to weight each layer in the order of index layer, criterion layer and target layer, and the comprehensive evaluation index of the index evaluation system is obtained, which can determine the health status level of rainwater pipes and realize the comprehensive evaluation of the health status of rainwater pipe network system at the regional level, which is conducive to carrying out targeted analysis of key issues of rainwater pipe network and guiding subsequent planning and design.

[0159] As one or more specific application embodiments of the present invention, Figure 4 and Figure 5 The comprehensive evaluation of the health status of the urban rainwater pipe network system provided by the present invention is further described in detail. Figure 4 As shown, the specific process is as follows:

[0160] Step 1: Identify the key influencing factors of the health status of urban rainwater pipes, including capacity factors, maintenance factors and system factors, screen comprehensive evaluation indicators and determine the calculation method of comprehensive evaluation indicators, and build a hierarchical indicator system.

[0161] Specifically, the key influencing factors of the health status of urban rainwater pipes are identified, and 16 comprehensive evaluation indicators are determined based on the principles of scientificity, completeness, representativeness, relative independence, and feasibility. A hierarchical indicator system is established, which is divided into the target layer, the criterion layer, and the indicator layer. The target layer is the comprehensive evaluation of the health status of the urban rainwater pipe network system, the criterion layer is the capacity factor, maintenance factor, and system factor. The criterion layer corresponds to the respective indicator layer. The specific comprehensive evaluation indicators include: structural defect density index, functional defect density index, rainwater and sewage mixed connection density index, pipe network design rationality index, pipe network operation rationality index, pipe network compliance rate index, pump station compliance rate index corresponding to the capacity factor, pipe network patrol frequency index, mechanical maintenance capacity index, intelligent management and control capacity index, personnel maintenance capacity index, and mud accumulation depth index corresponding to the maintenance factor, and the pipe network density index, pipe network connectivity index, unit area runoff control volume index, and rainwater resource utilization rate index corresponding to the system factor.

[0162] The comprehensive evaluation index is calculated according to the specific formula of each index. For details, please refer to step a1 and step a2 of the above embodiment, which will not be repeated here. The hierarchical index system constructed is as follows: Figure 5 shown.

[0163] Step 2 determines the grading standards and scoring methods for the screened evaluation indicators.

[0164] Specifically, the positive characteristics, reverse characteristics and deduction characteristics of each comprehensive evaluation indicator are judged, and the corresponding positive indicators, reverse indicators and deduction indicators are obtained; based on the preset positive indicator scoring formula and the preset reverse indicator scoring formula, the piecewise linear power coefficient method and rationality judgment are used to score each positive indicator, reverse indicator and deduction indicator.

[0165] Positive indicators include: pipeline network compliance rate index, pump station compliance rate index, pipeline network density index, pipeline network connectivity index, unit area runoff control volume index and rainwater resource utilization rate index.

[0166] Negative indicators include: structural defect density index, functional defect density index, rainwater and sewage mixing density index, mechanical maintenance capacity index, intelligent management and control capacity index, personnel maintenance capacity index and mud accumulation depth index.

[0167] Point deduction indicators, that is, points will be deducted if there are unreasonable situations or situations that do not meet the requirements, include: design rationality index, operation rationality index and pipeline network inspection frequency index.

[0168] Positive indicators represent indicators of upward or forward development and growth. The larger the value of these indicators, the better the evaluation, and the smaller the value of the indicators, the worse the evaluation. Positive indicators are also called benefit indicators or large-scale indicators.

[0169] Reverse indicators are used to measure negative impacts or risks. The smaller the indicator value, the better the evaluation, and the larger the indicator value, the worse the evaluation.

[0170] The deduction index determines the quality of the evaluation based on the actual score.

[0171] Among them, the preset positive indicator scoring formula is as follows:

[0172]

[0173] The preset reverse indicator scoring formula is as follows:

[0174]

[0175] Where: P i —The score of comprehensive evaluation index, P il —The lower limit score of the category standard of the comprehensive evaluation index, P ih—The upper limit score of the category standard of the comprehensive evaluation index, C i —Actual value of comprehensive evaluation index, C il —The lower limit of the classification of the actual data of the evaluation index, C ih —The upper limit of the classification level of the actual data of the comprehensive evaluation indicators.

[0176] The structural defect density index, functional defect density index, rainwater and sewage mixed connection density index, pipe network design rationality index, pipe network operation rationality index, pipe network compliance rate index, pump station compliance rate index, pipe network patrol frequency index, mechanical management and maintenance capacity index, smart management and control capacity index, personnel maintenance capacity index, mud accumulation depth index, pipe network density index, pipe network connectivity index, unit area runoff control volume index and rainwater resource utilization rate index are shown in Table 2 below:

[0177] Table 2

[0178]

[0179]

[0180] Step 3 uses the hierarchical analysis method to determine the comprehensive weight of the evaluation indicators.

[0181] Specifically, experts scored and judged and scored the importance of the criterion layer to the target layer and the indicator layer to the criterion layer. The scoring rules are as follows: 9 means that one factor is absolutely more important than another factor; 7 means that one factor is strongly more important than another factor; 5 means that one factor is slightly more important than another factor, with a scale of 3; 1 means that one factor is as important as another factor; 2, 4, 6, and 8 represent the middle values ​​of two adjacent judgments; 1 / 9 means that one factor is absolutely unimportant than another factor, and so on.

[0182] The square root method is used to calculate the maximum characteristic root and vector of the constructed judgment matrix. Specifically, the product M of each row element of the judgment matrix of the pairwise comprehensive evaluation index is calculated. i , Calculate M i The nth root W i , Pair Vector Normalize it and get That is, we get the eigenvector W = (W1, W2, ..., W n );Calculate the judgment matrix of the pairwise comprehensive evaluation index to obtain the maximum characteristic root λ max , the formula is:

[0183] Hierarchical single sorting and consistency test: Hierarchical single sorting is to calculate the eigenvector W, which is the relative importance weight of the elements at the same level to the elements at the previous level. The test index is the consistency index of the pairwise judgment matrix. Calculate the consistency ratio RI is a random consistency index. When CR < 0.1, the judgment matrix is ​​considered to have satisfactory consistency. Otherwise, the values ​​of the matrix elements need to be re-judged. The consistency test results are shown in Table 4 below:

[0184] Table 4

[0185] n 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 RI 0 0 0.52 0.89 1.12 1.26 1.36 1.41 1.46 1.49 1.52 1.54 1.56 1.58 1.59

[0186] The comprehensive weight of each comprehensive evaluation index is determined by combining expert scoring and hierarchical analysis method. The results are shown in Table 5 below:

[0187] Table 5

[0188]

[0189]

[0190] Step 4: According to the score and weight of each indicator, a multi-indicator comprehensive evaluation method is used to calculate the comprehensive evaluation index and obtain the health status level of the urban rainwater pipe network. Specifically, a multi-indicator comprehensive evaluation method is used to weight the target layer, criterion layer and indicator layer layer by layer to calculate the comprehensive evaluation index of the health of the urban rainwater pipe network. The calculation formula is: A—Comprehensive evaluation value of rainwater pipe network health, CW j —The weight of the j-th criterion layer, DW i —The weight of the i-th indicator, P i —The score of the ith indicator.

[0191] The health evaluation of the rainwater pipe network adopts a percentage standard classification, corresponding to the numerical range of 0 to 100, and the health status of the rainwater pipe network is divided into grades I, II, and III, corresponding to the three states of good, general, and poor, as shown in Table 1 below:

[0192] Table 1

[0193] Grading state Score range Ⅰ good 70-100 Ⅱ generally 40-70 Ⅲ Poor 0-40

[0194] The comprehensive evaluation method for the health status of urban rainwater pipe network systems provided in this embodiment identifies the key influencing factors of the health status of the rainwater pipe network systems, including capacity factors, maintenance factors and system factors, selects evaluation indicators based on the key factors and determines the indicator grading and scoring, constructs an evaluation indicator system, and simultaneously determines the comprehensive weights of the evaluation indicators, clarifies the calculation method of the comprehensive evaluation index and determines the health status level. A targeted, systematic and feasible comprehensive evaluation method for the rainwater pipe network system is proposed, which realizes the comprehensive evaluation of the health status of the rainwater pipe network system at the regional level, and is conducive to conducting targeted analysis of key issues of the rainwater pipe network and guiding subsequent planning and design.

[0195] In this embodiment, a device for comprehensive evaluation of the health status of a town rainwater pipe network system is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0196] This embodiment provides a comprehensive evaluation device for the health status of a rainwater pipe network system in a city. Figure 6 As shown, including:

[0197] The indicator system construction module 601 is used to obtain key influencing factors of the health status of urban rainwater pipes, and select multiple comprehensive evaluation indicators from the key influencing factors to construct a hierarchical indicator system.

[0198] The grading and scoring module 602 is used to grade and score each comprehensive evaluation indicator in the hierarchical indicator system.

[0199] The comprehensive weight calculation module 603 is used to determine the comprehensive weight of each comprehensive evaluation indicator in the hierarchical indicator system.

[0200] The comprehensive evaluation index calculation module 604 is used to calculate the comprehensive evaluation index of the hierarchical indicator system based on the graded scores and comprehensive weights of each comprehensive evaluation indicator.

[0201] The comprehensive evaluation module 605 is used to comprehensively evaluate the health status of the urban rainwater pipe network system using a comprehensive evaluation index.

[0202] In some optional implementations, the key influencing factors include capacity factors, maintenance factors, and system factors; the multiple comprehensive evaluation indicators include a first comprehensive evaluation indicator, a second comprehensive evaluation indicator, and a third comprehensive evaluation indicator; the indicator system construction module 601 includes:

[0203] The index screening unit is used to screen out the first comprehensive evaluation index from the capacity factor, the second comprehensive evaluation index from the maintenance factor, and the third comprehensive evaluation index from the system factor according to the preset index screening principle. The first comprehensive evaluation index includes the structural defect density index, the functional defect density index, the rainwater and sewage mixed connection density index, the pipe network design rationality index, the pipe network operation rationality index, the pipe network compliance rate index, and the pump station compliance rate index; the second comprehensive evaluation index includes the pipe network patrol frequency index, the mechanical maintenance capacity index, the smart management and control capacity index, the personnel maintenance capacity index, and the mud accumulation depth index; the third comprehensive evaluation index includes the pipe network density index, the pipe network connectivity index, the unit area runoff control volume index, and the rainwater resource utilization rate index.

[0204] The structural defect density index, functional defect density index, rainwater and sewage mixing density index, pipeline network compliance rate index, pump station compliance rate index, mechanical maintenance capacity index, intelligent management and control capacity index, personnel maintenance capacity index, mud accumulation depth index, pipeline network density index, pipeline network connectivity index index, unit area runoff control volume index and rainwater resource utilization rate index are all calculated through preset calculation formulas; the pipeline network design rationality index, pipeline network operation rationality index and pipeline network inspection frequency index are all obtained through actual investigation.

[0205] The indicator system construction unit is used to construct a hierarchical indicator system based on the first comprehensive evaluation indicator, the second comprehensive evaluation indicator and the third comprehensive evaluation indicator; the hierarchical indicator system includes a target layer, a criterion layer and an indicator layer from high to low levels.

[0206] In some optional implementations, the indicator system construction unit includes:

[0207] The target layer determination subunit is used to determine the comprehensive evaluation of the health status of the urban rainwater pipe network system as the target layer.

[0208] The criterion layer determination subunit is used to determine the capacity factor, maintenance factor and system factor as the criterion layer.

[0209] The indicator layer determination subunit is used to determine the first comprehensive evaluation indicator corresponding to the capability factor, the second comprehensive evaluation indicator corresponding to the maintenance factor, and the third comprehensive evaluation indicator corresponding to the system factor as the indicator layer.

[0210] The indicator system construction sub-unit is used to construct a hierarchical indicator system based on the target layer, criterion layer and indicator layer.

[0211] In some optional implementations, the grading module 602 includes:

[0212] The indicator characteristic judgment unit is used to judge the positive characteristic and the negative characteristic of each comprehensive evaluation indicator and obtain the corresponding positive indicator and negative indicator.

[0213] The indicator scoring unit is used to score each positive indicator and reverse indicator using a piecewise linear efficacy coefficient method based on a preset positive indicator scoring formula and a preset reverse indicator scoring formula.

[0214] In some optional implementations, the comprehensive weight calculation module 603 includes:

[0215] The expert scoring unit is used to determine the target layer weight, the criterion layer weight and the indicator layer weight by using the expert scoring method.

[0216] The hierarchical analysis unit is used to construct the judgment matrix of the hierarchical indicator system using the hierarchical analysis method.

[0217] The comprehensive weight calculation unit is used to determine the comprehensive weight of each comprehensive evaluation indicator based on the target layer weight, the criterion layer weight, the indicator layer weight and the judgment matrix.

[0218] In some optional implementations, the comprehensive evaluation index calculation module 604 includes:

[0219] The weighted calculation unit is used to weight each comprehensive evaluation indicator layer by layer in the order of indicator layer, criterion layer and target layer based on the graded scoring and comprehensive weight of each comprehensive evaluation indicator, so as to obtain the comprehensive evaluation index of the indicator evaluation system.

[0220] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0221] The comprehensive evaluation device for the health status of the urban rainwater pipe network system in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0222] The embodiment of the present invention also provides a computer device having the above Figure 6 The device shown is a comprehensive evaluation device for the health status of the urban rainwater pipe network system.

[0223] See also Figure 7 , Figure 7 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 7As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 7 A processor 10 is taken as an example.

[0224] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0225] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0226] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0227] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0228] The computer device also includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Figure 7 The example of connecting through bus is taken in the following.

[0229] The input device 30 can receive input digital or character information, and generate key signal input related to the user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator bar, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0230] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0231] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A comprehensive evaluation method for the health status of urban rainwater pipe network system, characterized in that: The method comprises: Obtain key influencing factors of the health status of urban rainwater pipes, and select multiple comprehensive evaluation indicators from the key influencing factors to construct a hierarchical indicator system; Grading and assigning points to each comprehensive evaluation indicator in the hierarchical indicator system; Determine the comprehensive weight of each comprehensive evaluation indicator in the hierarchical indicator system; Calculate the comprehensive evaluation index of the indicator evaluation system based on the grading and comprehensive weight of each comprehensive evaluation indicator; The comprehensive evaluation index is used to conduct a comprehensive evaluation of the health status of the urban rainwater pipe network system.

2. The method according to claim 1, characterized in that The key influencing factors include capacity factors, maintenance factors and system factors; the multiple comprehensive evaluation indicators include a first comprehensive evaluation indicator, a second comprehensive evaluation indicator and a third comprehensive evaluation indicator; Selecting multiple comprehensive evaluation indicators from the key influencing factors to construct a hierarchical indicator system includes: According to the preset indicator screening principle, a first comprehensive evaluation indicator is screened out from the capability factor, a second comprehensive evaluation indicator is screened out from the maintenance factor, and a third comprehensive evaluation indicator is screened out from the system factor; A hierarchical indicator system is constructed based on the first comprehensive evaluation indicator, the second comprehensive evaluation indicator and the third comprehensive evaluation indicator; the hierarchical indicator system includes a target layer, a criterion layer and an indicator layer from high to low levels.

3. The method according to claim 2, characterized in that The first comprehensive evaluation index includes a structural defect density index, a functional defect density index, a rainwater-sewage mixed connection density index, a pipe network design rationality index, a pipe network operation rationality index, a pipe network compliance rate index, and a pump station compliance rate index; The second comprehensive evaluation index includes the pipeline network patrol frequency index, mechanical management and maintenance capacity index, smart management and control capacity index, personnel maintenance capacity index and mud accumulation depth index; The third comprehensive evaluation index includes a pipe network density index, a pipe network connectivity index, a unit area runoff control volume index, and a rainwater resource utilization rate index; The structural defect density index, functional defect density index, rainwater-sewage mixed connection density index, pipe network compliance rate index, pump station compliance rate index, mechanical management and maintenance capacity index, smart management and control capacity index, personnel maintenance capacity index, mud accumulation depth index, pipe network density index, pipe network connectivity index, unit area runoff control volume index and rainwater resource utilization rate index are all calculated by preset calculation formulas; The pipeline network design rationality index, pipeline network operation rationality index and pipeline network inspection frequency index are all obtained through actual investigation.

4. The method according to claim 2, characterized in that: The hierarchical indicator system constructed based on the first comprehensive evaluation indicator, the second comprehensive evaluation indicator and the third comprehensive evaluation indicator includes: The comprehensive evaluation of the health status of the urban rainwater pipe network system is determined as the target layer; Identify capacity factors, maintenance factors and system factors as criterion layers; The first comprehensive evaluation index corresponding to the capability factor, the second comprehensive evaluation index corresponding to the maintenance factor, and the third comprehensive evaluation index corresponding to the system factor are determined as the index layer; A hierarchical indicator system is constructed based on the target layer, criterion layer and indicator layer.

5. The method according to claim 1, characterized in that The grading and scoring of each comprehensive evaluation indicator in the hierarchical indicator system includes: Determine the positive characteristics, negative characteristics and negative item characteristics of each comprehensive evaluation indicator, and obtain the corresponding positive indicators, negative indicators and negative item indicators; Based on the preset positive indicator scoring formula and the preset reverse indicator scoring formula, the piecewise linear efficacy coefficient method and rationality judgment are used to assign points to each positive indicator, reverse indicator and deduction item indicator.

6. The method according to claim 4, characterized in that The comprehensive weight of each comprehensive evaluation indicator in the hierarchical indicator system is determined as follows: The expert scoring method is used to determine the weights of the target layer, the criterion layer and the indicator layer; The judgment matrix of the hierarchical index system is constructed by using the hierarchical analysis method; The comprehensive weight of each comprehensive evaluation indicator is determined based on the target layer weight, criterion layer weight, indicator layer weight and judgment matrix.

7. The method according to claim 4, characterized in that The comprehensive evaluation index of the evaluation system based on the grading and comprehensive weight calculation of each comprehensive evaluation indicator includes: Based on the graded scoring and comprehensive weight of each comprehensive evaluation indicator, a multi-indicator comprehensive evaluation method is adopted to weight each layer in the order of indicator layer, criterion layer and target layer to obtain the comprehensive evaluation index of the indicator evaluation system.

8. A comprehensive evaluation device for the health status of a rainwater pipe network system in a city, characterized in that: The device comprises: An indicator system construction module is used to obtain key influencing factors of the health status of urban rainwater pipes, and select multiple comprehensive evaluation indicators from the key influencing factors to construct a hierarchical indicator system; The grading and scoring module is used to grade and score each comprehensive evaluation indicator in the hierarchical indicator system; Comprehensive weight calculation module, used to determine the comprehensive weight of each comprehensive evaluation indicator in the hierarchical indicator system; A comprehensive evaluation index calculation module is used to calculate the comprehensive evaluation index of the indicator evaluation system based on the grading and comprehensive weight of each comprehensive evaluation indicator; The comprehensive evaluation module is used to use the comprehensive evaluation index to comprehensively evaluate the health status of the urban rainwater pipe network system.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the comprehensive evaluation method for the health status of an urban rainwater pipe network system according to any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the comprehensive evaluation method for the health status of an urban rainwater pipe network system according to any one of claims 1 to 7.

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