CN116777223A - Urban underground pipe network safety comprehensive risk assessment method and system - Google Patents

Abstract

The invention discloses a method and a system for evaluating comprehensive risk of urban underground pipe network safety, which relate to the technical field of risk evaluation, and the method comprises the following steps: establishing urban underground pipe network safety comprehensive risk assessment indexes according to the urban underground pipe network related data; calculating the weight of the urban underground pipe network safety comprehensive risk assessment index according to the urban underground pipe network related data; calculating the comprehensive risk assessment index weight of the urban underground pipe network according to the comprehensive risk assessment index weight of the urban underground pipe network; obtaining urban underground pipe network safety comprehensive risk scoring values according to the urban underground pipe network related data; calculating the relative risk value of the urban underground pipe network pipe section according to the urban underground pipe network safety comprehensive risk scoring value and the urban underground pipe network safety comprehensive risk assessment comprehensive index weight, and assessing the urban underground pipe network safety comprehensive risk according to the relative risk value of the urban underground pipe network pipe section. The invention can reasonably evaluate the risk degree of the underground pipe network.

Description

Urban underground pipe network safety comprehensive risk assessment method and system

Technical Field

The invention relates to the technical field of risk assessment, in particular to a method and a system for comprehensively assessing the safety risk of an urban underground pipe network.

Background

Along with the rapid development of economy and the gradual improvement of life quality requirements, municipal construction investment force is increased in many medium and small cities and areas, and a new opportunity is provided for underground pipe network construction operation. However, due to urban management of block segmentation, unit construction is not standard, public safety consciousness is weak, and pipe network construction level and pipeline laying quality are not high, a series of potential safety hazards are brought to human living environment, such as urban underground pipe network events such as ground subsidence, urban waterlogging, gas explosion, water supply leakage and the like are frequent. In order to ensure the life and property safety of vast people, it is necessary to perform qualitative or quantitative evaluation on underground pipe network safety risks in advance, and formulate a risk control scheme according to the evaluation result.

At present, aiming at the research of underground pipe network risks of China, a risk analysis theoretical standard and a risk analysis system which are in accordance with the actual situation of an underground pipe network are not formed, and the research on underground pipe network safety comprehensive risk assessment is mostly kept in a dynamic risk analysis stage, and mainly focuses on the aspects of pipe network risk quantitative assessment, pipe network vulnerability assessment, risk management and the like, analytical methods such as a hierarchical analysis method, a fuzzy evaluation method and the like are mostly adopted, and along with the deep research of dynamic risk analysis, the research work of underground pipe network safety comprehensive risk assessment is still in a development stage, the urban underground pipe network is a complex and changeable system, the underground pipe network risk degree cannot be reasonably assessed by only adopting a certain pipe risk evaluation method, the change process cannot be analyzed, the accident development trend is predicted, and the omnibearing safety management is realized.

In summary, how to reasonably evaluate the risk level of underground pipe networks is a urgent problem for those skilled in the art.

Disclosure of Invention

The invention aims to provide a method and a system for evaluating the comprehensive risk of urban underground pipe network safety, which can reasonably evaluate the risk degree of an underground pipe network.

In order to achieve the above object, the present invention provides the following solutions:

a method for evaluating the comprehensive risk of urban underground pipe network safety, comprising:

acquiring related data of an urban underground pipe network; the related data of the urban underground pipe network comprise basic data of a gas pipe network, a water supply pipe network and a drainage pipe network; the basic data comprises pipeline real-time operation data, pipeline state data, surrounding environment data, space coupling data and pipeline accident history data;

establishing urban underground pipe network safety comprehensive risk assessment indexes according to the urban underground pipe network related data; the urban underground pipe network safety comprehensive risk assessment indexes comprise pipeline vulnerability indexes of a gas pipe network, a water supply pipe network and a drainage pipe network, accident cause indexes and accident consequence indexes;

calculating the weight of the urban underground pipe network safety comprehensive risk assessment index according to the urban underground pipe network related data; the weights of the urban underground pipe network safety comprehensive risk assessment indexes comprise pipeline vulnerability index weights of a gas pipe network, a water supply pipe network and a drainage pipe network, accident cause index weights and accident consequence index weights;

Calculating the comprehensive risk assessment index weight of the urban underground pipe network according to the comprehensive risk assessment index weight of the urban underground pipe network; the urban underground pipe network safety comprehensive risk assessment comprehensive index weight comprises a gas pipe network, a water supply pipe network and a drainage pipe network safety comprehensive risk assessment comprehensive index weight;

obtaining urban underground pipe network safety comprehensive risk scoring values according to the urban underground pipe network related data; the urban underground pipe network safety comprehensive risk scoring score comprises a pipeline vulnerability index score, an accident incentive index score and an accident consequence index score of a gas pipe network, a water supply pipe network and a drainage pipe network;

calculating the relative risk value of the urban underground pipe network pipe section according to the urban underground pipe network safety comprehensive risk scoring value and the urban underground pipe network safety comprehensive risk assessment comprehensive index weight, and assessing the urban underground pipe network safety comprehensive risk according to the urban underground pipe network pipe section relative risk value; the relative risk values of the urban underground pipe network pipe sections comprise relative risk values of pipe sections of a gas pipe network, a water supply pipe network and a drainage pipe network.

The invention also provides the following scheme:

A system for risk assessment of urban underground pipe network safety synthesis, the system comprising:

the pipe network related data collection module is used for obtaining urban underground pipe network related data; the related data of the urban underground pipe network comprise basic data of a gas pipe network, a water supply pipe network and a drainage pipe network; the basic data comprises pipeline real-time operation data, pipeline state data, surrounding environment data, space coupling data and pipeline accident history data;

the pipe network safety comprehensive risk assessment index determining module is used for establishing urban underground pipe network safety comprehensive risk assessment indexes according to the urban underground pipe network related data; the urban underground pipe network safety comprehensive risk assessment indexes comprise pipeline vulnerability indexes of a gas pipe network, a water supply pipe network and a drainage pipe network, accident cause indexes and accident consequence indexes;

the pipe network safety comprehensive risk assessment index weight calculation module is used for calculating the weight of the urban underground pipe network safety comprehensive risk assessment index according to the urban underground pipe network related data; the weights of the urban underground pipe network safety comprehensive risk assessment indexes comprise pipeline vulnerability index weights of a gas pipe network, a water supply pipe network and a drainage pipe network, accident cause index weights and accident consequence index weights;

The comprehensive risk assessment comprehensive index weight calculation module is used for calculating the comprehensive risk assessment comprehensive index weight of the urban underground pipe network according to the comprehensive risk assessment index weight of the urban underground pipe network; the urban underground pipe network safety comprehensive risk assessment comprehensive index weight comprises a gas pipe network, a water supply pipe network and a drainage pipe network safety comprehensive risk assessment comprehensive index weight;

the pipe network safety comprehensive risk score determining module is used for obtaining urban underground pipe network safety comprehensive risk score according to the urban underground pipe network related data; the urban underground pipe network safety comprehensive risk scoring score comprises a pipeline vulnerability index score, an accident incentive index score and an accident consequence index score of a gas pipe network, a water supply pipe network and a drainage pipe network;

the pipe network safety comprehensive risk assessment module is used for calculating the relative risk value of the pipe section of the urban underground pipe network according to the urban underground pipe network safety comprehensive risk score value and the urban underground pipe network safety comprehensive risk assessment comprehensive index weight, and assessing the urban underground pipe network safety comprehensive risk according to the relative risk value of the pipe section of the urban underground pipe network; the relative risk values of the urban underground pipe network pipe sections comprise relative risk values of pipe sections of a gas pipe network, a water supply pipe network and a drainage pipe network.

According to the specific embodiment provided by the invention, the invention discloses the following technical effects:

compared with the prior art, the method for evaluating the risk degree of the underground pipe network by only adopting a certain pipe risk evaluating method for evaluating the underground pipe network, the method for evaluating the risk degree of the underground pipe network by integrating different pipe networks, calculates the risk value of the whole pipe network system, selects a proper risk evaluating method for comprehensively identifying the risk by establishing a perfect pipe network risk index system, can reasonably evaluate the underground risk degree, analyzes the change process and predicts the accident development trend, and realizes the comprehensive safety management.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a method for evaluating the comprehensive risk of urban underground pipe network safety according to the present invention;

FIG. 2 is a framework diagram of an index system for evaluating the comprehensive risk of urban underground pipe network safety according to the invention;

FIG. 3 is a schematic diagram showing specific division of pipeline vulnerability indexes of a gas pipe network according to the present invention;

FIG. 4 is a schematic diagram showing specific division of accident inducement indexes of the gas pipe network;

FIG. 5 is a schematic diagram showing specific division of accident consequence indexes of the gas pipe network according to the present invention;

FIG. 6 is a schematic flow chart of a method for evaluating the comprehensive risk of urban underground pipe network safety;

FIG. 7 is a schematic diagram of a main interface of the system for evaluating the comprehensive risk of urban underground pipe network safety;

FIG. 8 is a schematic diagram of an evaluation object set by the urban underground pipe network safety comprehensive risk evaluation system according to the present invention;

FIG. 9 is a schematic diagram of a system for evaluating the comprehensive risk of urban underground pipe network safety according to the present invention for determining an optimal index set for pipeline vulnerability;

FIG. 10 is a dimensionless standardized schematic diagram of pipeline vulnerability indexes of the urban underground pipe network safety comprehensive risk assessment system according to the present invention;

FIG. 11 is a schematic diagram of a system for evaluating the comprehensive risk of urban underground pipe network safety according to the present invention for calculating the relevance of pipeline vulnerability indexes;

FIG. 12 is a schematic diagram of a pipeline vulnerability evaluation matrix constructed by the urban underground pipe network safety comprehensive risk evaluation system of the invention;

FIG. 13 is a schematic diagram of vulnerability factor measurement and calculation of the urban underground pipe network safety comprehensive risk assessment system according to the present invention;

FIG. 14 is a schematic view of the system for evaluating the comprehensive risk of urban underground pipe network safety according to the present invention for calculating the weight of the accident inducement index;

FIG. 15 is a schematic view of the system for evaluating the comprehensive risk of urban underground pipe network safety according to the present invention for calculating the accident consequence index weight;

FIG. 16 is a diagram illustrating a comprehensive risk assessment thermodynamic diagram of a pipe network according to the present invention;

FIG. 17 is a graph of the Kriging interpolation for the comprehensive risk assessment of the pipe network according to the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The invention aims to provide a method and a system for evaluating the comprehensive risk of urban underground pipe network safety, which can reasonably evaluate the risk degree of an underground pipe network.

In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.

FIG. 1 is a flow chart of a method for evaluating the comprehensive risk of urban underground pipe network safety. As shown in fig. 1, the invention provides a method for evaluating the comprehensive risk of urban underground pipe network safety, which comprises the following steps:

step 101: acquiring related data of an urban underground pipe network; the related data of the urban underground pipe network comprise basic data of a gas pipe network, a water supply pipe network and a drainage pipe network; the base data includes pipeline real-time operational data, pipeline status data, ambient environment data, spatially coupled data, and pipeline accident history data.

This step 101 collects data about the pipe network (urban underground pipe network): the system comprises historical data such as gas, water supply and drainage pipeline real-time operation data, pipeline state data, surrounding environment data, space coupling data, pipeline accidents and the like.

Step 102: establishing urban underground pipe network safety comprehensive risk assessment indexes according to the urban underground pipe network related data; the urban underground pipe network safety comprehensive risk assessment indexes comprise pipeline vulnerability indexes, accident causing indexes and accident consequence indexes of a gas pipe network, a water supply pipe network and a drainage pipe network.

Step 102 determines a pipe network safety comprehensive risk assessment index: the method comprises three types of pipeline vulnerability indexes, accident causing indexes and accident consequence indexes, wherein the pipeline vulnerability indexes are inherent risks of a pipeline system and are used for describing the vulnerability and the robustness of a pipe network to safety accidents; the accident cause index is used for analyzing the possibility of accident occurrence; the accident consequence index is used for analyzing the severity of the accident consequence. Wherein, the pipeline vulnerability index and the accident causing index are the possibility index, and the accident consequence index is the consequence index. The overall framework of the indexing system is shown in fig. 2.

Taking a gas pipe network as an example, the specific division of the pipeline vulnerability index, the accident causing index and the accident result index is shown in fig. 3, 4 and 5 respectively.

In addition, the drainage and water supply network index system is specifically as follows:

pipeline vulnerability indicators (drain pipeline vulnerability indicators) of the drain pipe network include: physical characteristics (pipe section materials, construction modes, sealing materials, anti-corrosion measures, branch connection numbers), operation conditions (operation years, maintenance records, water quality conditions and operation conditions), performance (normal water delivery capacity, accident water delivery capacity and pump station safe operation capacity).

The accident inducing indexes of the drainage pipe network (drainage pipe network accident inducing indexes) include: external environment (geological conditions, surrounding large-scale construction activities, ground traffic).

Accident consequence indicators of the drainage pipe network (drainage pipe network accident consequence indicators) include: system influence (water delivery, water delivery percentage, connectivity), social influence (road traffic congestion, regional importance, pipe section circumference), environmental influence (surface water environment water delivery, surface water environment functional area, groundwater environment water delivery, groundwater environment soil layer permeability, soil environment water delivery, soil environment land type, air environment population density, air environment water delivery).

Pipeline vulnerability indicators (water supply pipeline vulnerability indicators) of a water supply network include: physical properties of the pipeline (pipe, pipe diameter, pipe age, structural safety), and operation and maintenance states of the pipe network (pipe network leakage, historical events, stable pipeline pressure, pipeline pressure amplitude and operation and maintenance period). Wherein structural safety includes pipe stress and pipe deformation.

The accident inducing indexes of the water supply network (water supply network accident inducing indexes) comprise the surrounding environment (road grade, earthing depth, regional environment, soil body corrosiveness, adjacent overlapping influence and surrounding disturbance) of the water supply network.

Accident consequence indexes of the water supply pipe network (water supply pipe network accident consequence indexes) comprise influence on user quantity, laying areas, pipe network reliability, pipeline water leakage, accumulated water in the road and peripheral areas and service time caused by water supply interruption.

Step 103: calculating the weight of the urban underground pipe network safety comprehensive risk assessment index according to the urban underground pipe network related data; the weights of the urban underground pipe network safety comprehensive risk assessment indexes comprise pipeline vulnerability index weights of a gas pipe network, a water supply pipe network and a drainage pipe network, accident causing index weights and accident consequence index weights.

The step 103 specifically includes:

and respectively calculating pipeline vulnerability index weights of the gas pipe network, the water supply pipe network and the drainage pipe network by adopting a gray correlation degree analysis method according to the basic data of the gas pipe network, the water supply pipe network and the drainage pipe network.

According to the pipeline accident history data of the gas pipe network, the water supply pipe network and the drainage pipe network, accident induction index weights of the gas pipe network, the water supply pipe network and the drainage pipe network are calculated respectively by utilizing a reliability engineering mathematical probability statistics method.

According to the pipeline accident history data of the gas pipe network, the water supply pipe network and the drainage pipe network, an improved fuzzy analytic hierarchy process is adopted to calculate accident consequence index weights of the gas pipe network, the water supply pipe network and the drainage pipe network respectively.

The accident consequence index weights of the gas pipe network, the water supply pipe network and the drainage pipe network are respectively calculated by adopting an improved fuzzy analytic hierarchy process, and the method specifically comprises the following steps of:

and obtaining the relative importance between every two factors of the indexes of the same-level same-membership in accident consequence indexes of the gas pipe network, the water supply pipe network and the drainage pipe network based on a fuzzy analytic hierarchy process.

And respectively constructing fuzzy complementary matrixes corresponding to the gas pipe network, the water supply pipe network and the drainage pipe network according to the relative importance among the two factors of the indexes of the same-level same membership in the accident result indexes of the gas pipe network, the water supply pipe network and the drainage pipe network.

And calculating weight coefficients for fuzzy complementary matrixes corresponding to the gas pipe network, the water supply pipe network and the drainage pipe network respectively to obtain weight coefficients corresponding to accident consequence indexes of the gas pipe network, the water supply pipe network and the drainage pipe network.

And respectively calculating accident consequence index weights of the gas pipe network, the water supply pipe network and the drainage pipe network according to the weight coefficients corresponding to the accident consequence indexes of the gas pipe network, the water supply pipe network and the drainage pipe network.

Step 103 calculates the weight of the comprehensive risk assessment index of the pipe network (the weight of the comprehensive risk assessment index of the urban underground pipe network): the weight of the likelihood indicator reflects the likelihood probability of the factor evolving into an incident; the weight of the outcome indicator reflects the severity of the outcome of the incident caused by the factor. According to the characteristics of different indexes of the underground pipe network, respectively adopting a Gray correlation analysis method (V-Gray) to calculate the pipeline vulnerability index weight V omega _i Method for calculating accident causing index weight Iomega by reliability engineering mathematical probability statistics (I-MMR) _i Improved fuzzy analytic hierarchy process (C-FAHP) for calculating accident consequence index weight Cω _i . For the first-level index in the index system, the weights of the pipeline vulnerability index, the accident causing index and the accident result index are distributed according to the same numerical value, namely, all the weights are 1.

Step 104: calculating the comprehensive risk assessment index weight of the urban underground pipe network according to the comprehensive risk assessment index weight of the urban underground pipe network; the urban underground pipe network safety comprehensive risk assessment comprehensive index weight comprises a gas pipe network, a water supply pipe network and a drainage pipe network safety comprehensive risk assessment comprehensive index weight.

The step 104 specifically includes:

and linearly combining the pipeline vulnerability index weight, the accident causing index weight and the accident result index weight of the gas pipe network to obtain the comprehensive risk assessment index weight of the gas pipe network.

And linearly combining the pipeline vulnerability index weight, the accident causing index weight and the accident result index weight of the water supply network to obtain the comprehensive risk assessment comprehensive index weight of the water supply network.

And linearly combining the pipeline vulnerability index weight of the drainage pipe network, the accident causing index weight and the accident result index weight to obtain the comprehensive risk assessment comprehensive index weight of the drainage pipe network.

Step 104 calculates a comprehensive index weight of the pipe network safety comprehensive risk assessment: in order to avoid the defects of a single weighting method, a combined weighting method is adopted, the comprehensive weight of an evaluation index is determined by combining expert experience and an internal rule among index data, a linear regression idea is introduced, a dynamic weight model is built based on deviation minimization, the loss of information is reduced to the greatest extent, and the weighting result is as close to reality as possible.

Step 105: obtaining urban underground pipe network safety comprehensive risk scoring values according to the urban underground pipe network related data; the urban underground pipe network safety comprehensive risk scoring score comprises a pipeline vulnerability index score, an accident cause index score and an accident result index score of a gas pipe network, a water supply pipe network and a drainage pipe network.

The step 105 specifically includes:

acquiring a training data set; the training data set comprises pipeline real-time operation data, pipeline state data, surrounding environment data, space coupling data and pipeline accident history data of the gas pipeline network, the water supply pipeline network and the water discharge pipeline network in different areas, and pipeline vulnerability index scores, accident cause index scores and accident result index scores of the gas pipeline network, the water supply pipeline network and the water discharge pipeline network corresponding to the pipeline real-time operation data, the pipeline state data, the surrounding environment data, the space coupling data and the pipeline accident history data in different areas.

And training and optimizing the BP neural network by using the training data set to obtain the optimized BP neural network.

And inputting the related data of the urban underground pipe network into the optimized BP neural network to obtain the pipeline vulnerability index scores, the accident causing index scores and the accident result index scores of the gas pipe network, the water supply pipe network and the drainage pipe network which are output by the optimized BP neural network.

This step 105 determines a pipe network security composite risk score: based on the originally collected pipe network safety comprehensive risk score data (fully divided into 100), 8:2 is randomly divided into a training sample and a verification sample, a BP neural network is established by utilizing the idea of transfer learning to carry out model training, and the score of the index is continuously modified according to the requirement of the verification sample until the comprehensive risk score of the pipe network safety is more in line with the actual situation, so that the influence degree of each index on the risk is more objectively and reasonably reflected.

Step 106: calculating the relative risk value of the urban underground pipe network pipe section according to the urban underground pipe network safety comprehensive risk scoring value and the urban underground pipe network safety comprehensive risk assessment comprehensive index weight, and assessing the urban underground pipe network safety comprehensive risk according to the relative risk value of the urban underground pipe network pipe section; the relative risk values of the pipe sections of the urban underground pipe network comprise relative risk values of the pipe sections of the gas pipe network, the water supply pipe network and the drainage pipe network.

The method for calculating the relative risk value of the urban underground pipe network pipe section according to the urban underground pipe network safety comprehensive risk score value and the urban underground pipe network safety comprehensive risk assessment comprehensive index weight specifically comprises the following steps:

and multiplying the pipeline vulnerability index score, the accident causing index score and the accident result index score of the gas pipe network by the comprehensive risk assessment comprehensive index weight of the gas pipe network to obtain the relative risk value of the pipe section of the gas pipe network.

And multiplying the pipeline vulnerability index score, the accident causing index score and the accident result index score of the water supply network by the comprehensive risk assessment comprehensive index weight of the water supply network to obtain the relative risk value of the pipe section of the water supply network.

Multiplying the pipeline vulnerability index score, the accident cause index score and the accident result index score of the drainage pipe network with the comprehensive risk assessment index weight of the drainage pipe network to obtain the pipe section relative risk value of the drainage pipe network.

Step 106 is a network security comprehensive risk assessment: and calculating the relative risk values of the possibility of the pipe section accident and the severity of the result by adopting a linear comprehensive evaluation method.

Specifically, the method evaluates the comprehensive risk of the urban underground pipe network safety according to the relative risk value of the urban underground pipe network pipe section, and then further comprises the following steps:

And visually presenting the urban underground pipe network safety comprehensive risk assessment result.

Visual presentation is carried out on the urban underground pipe network safety comprehensive risk assessment result, namely the visual presentation of the pipe network comprehensive risk assessment result: the comprehensive risk of the urban underground pipe network is divided into 4 grades, and the comprehensive risk is sequentially as follows from high to low: risk, high risk, moderate risk, low risk, and safety.

The technical scheme of the invention is described in the following by a specific embodiment:

FIG. 6 is a schematic flow chart of a method for evaluating the comprehensive risk of urban underground pipe network safety. As shown in fig. 6, the specific steps of the urban underground pipe network safety comprehensive risk assessment method of the invention are as follows:

step 1: collecting pipe network related data: in order to determine the urban underground pipe network safety comprehensive risk assessment index system and verify the correctness of the pipe network safety comprehensive risk assessment method, the basic data of the gas, water supply and water discharge pipe networks need to be collected, including the historical data such as pipeline real-time operation data, pipeline state data, surrounding environment data, space coupling data, pipeline accidents and the like.

Step 2: determining a pipe network safety comprehensive risk assessment index: and analyzing the influence of various factors on the possibility of risk accidents on the pipe section by taking the pipe section as a unit, and determining the consequences of the risk by analyzing the influence range of the accidents and the distribution of personnel and property in the range. And (3) integrating the accident history data of the pipe network and the influence factors thereof to establish risk assessment indexes of the urban underground pipe network, wherein the risk assessment indexes mainly comprise pipeline vulnerability indexes, accident causing indexes and accident consequence indexes.

The invention relates to a comprehensive risk assessment method for urban underground pipe network safety, which is a general method and is general for a gas pipe network, a water supply pipe network and a drainage pipe network. For a gas pipe network, a water supply pipe network and a drainage pipe network, the urban underground pipe network safety comprehensive risk assessment method can be adopted to assess the pipe network safety comprehensive risk as long as the pipeline vulnerability index, the accident induction index and the accident result index of the pipe network are determined.

Step 3: and calculating the comprehensive risk assessment index weight of the pipe network safety.

1. Calculating pipeline vulnerability index weights

The pipeline vulnerability index weight is related to the actual attribute of the underground pipe network, and after collecting and arranging the pipeline operation basic data, the pipeline vulnerability index weight is calculated by using a gray correlation analysis method, and the method comprises the steps of determining an analysis index, determining an optimal index set, carrying out data normalization processing, determining correlation degree, calculating index weight and the like, so that the inherent risk value of the underground pipe network is estimated.

(1) Determining an analysis index

The analysis index is used for evaluating various properties or performances of the object and is a basis for evaluating the object to be evaluated. Analysis indicators of pipeline systems can be divided into two categories by their attributes: the first category is a top-oriented index, namely, the larger the index value is, the larger the evaluation result is, including the pipe wall thickness, the pipe diameter and the minimum burial depth; the second category is the downward preference index, namely, the smaller the index value is, the larger the evaluation result is, including the pipe gas flow, the pipe gas pressure and the service life of the pipeline.

(2) Determining an optimal index set

The determination of the optimal index set requires that an optimal number set is selected from the same index of the evaluation objects, and is a reference for comparison of the evaluation objects. The optimal index set and index values of all evaluation objects form an index set matrix together, and the index set matrix is as follows:

wherein: n represents an index set matrix, X _i (k) The kth blurred index value representing the ith evaluation target, i.e., i is the evaluated target, k is the evaluation index, i=0, 1,2, …, n, k=1, 2, …, m, n represents the total number of the evaluated targets, and m represents the total number of the evaluation indexes.

(3) Data normalization

Normalizing the data can improve the reliability and the calculation feasibility of the data. First, qualitative indicators are quantified to quantitative values using rank value partitioning. And secondly, inverting the analysis index which is inversely related to the comprehensive risk value into positive correlation by using a gray correlation theorem. And finally, carrying out dimensionless treatment on the evaluation indexes by adopting average transformation, namely dividing the value of each column by the average value of each column, and converting the evaluation indexes into dimensionless data with approximate orders of magnitude through sequence transformation so as to realize comparability.

i＝0，1，2，…，n

k＝1，2，…，m

Wherein:represents the average value of the kth column of the matrix, Y _i Representing the data normalization processing result.

(4) Determining a degree of association

First, the absolute difference array is calculated as array X ₁ For the reference series (including the reference series X in the step of determining the optimum index set ₁ ) According to formula delta _ij (k)＝|Y _i (k)-Y _j (k) The absolute difference number column is calculated as follows:

Δ _ij (k)＝|Y _i (k)-Y _j (k)|，(i,j＝0，1，2，…，n)

(k＝1，2，3，…，m)

wherein: delta _ij (k) Representing the absolute difference sequence, Y _i (k) Representing normalized values for column k of matrix i, Y _j (k) Representing the normalized value of the kth column of matrix j.

Then, the absolute difference sequences are compared to obtain a minimum absolute difference sequence Delamin and a maximum absolute difference sequence Delamax, and the correlation coefficient is calculated according to the following formula:

wherein: ρ represents the resolution coefficient, and the value [0,1 ]]The magnitude of the value only affects the magnitude of the association coefficient, does not affect the association sequence, and generally takes the intermediate value of 0.5 and ζ _ij (k) Representing the correlation coefficient.

Next, the correlation coefficients of each row are averaged to obtain a comparison row X _j For reference number series X ₁ Is a degree of association of:

wherein: r is (r) _ij Representing a comparison series X _j For reference number series X ₁ Is a degree of association of (a) with each other.

Finally, repeating the steps, sequentially changing the reference number columns, and solving the association degree values of all the two number columns to obtain an association matrix R (n x n), wherein the diagonal elements of R are all 1. The average value of each row in the incidence matrix R is calculated:

Wherein:representing the average value of the ith row in the correlation matrix R.

(5) Calculating index weights

According to the operation data and the environment data of the actual pipeline accident, the weight of each level of index is calculated:

wherein: v omega _i The weight of the i-th pipeline vulnerability index is represented.

2. Calculating accident cause index weight

According to actual underground pipe network accident history data, calculating the failure rate and reliability function of the underground pipe network by using a reliability engineering mathematical probability statistical method, and determining the weight through the reliability function.

(1) Failure rate measurement

The failure rate of the underground pipeline in the normal operation stage is in the accidental failure period in the middle section of the bathtub curve, the failure rate is lower, the failure rate function is approximately constant, and the reliability function meets the exponential distribution. A pipeline at an occasional failure period may describe the life distribution of an unrepairable component with an exponential distribution, with its reliability function satisfying the exponential law.

The unreliable function of a pipeline for some accident reason is:

r _i ＝-ln(1-F _i (t))/t＝-ln(1-M _i /(N·L))/t

wherein: f (F) _i (t) represents the unreliability of the pipe section caused by the ith accident causing index within the time t; r is R _i (t) represents the reliability of the pipe section caused by the ith accident causing index within the time t; r is (r) _i Representing the failure rate function caused by the ith accident causing index; t represents the service life of the pipe section; m is M _i Representing statistics of total number of accidents caused by the ith accident causing index; l represents the length of the statistical pipeline, and the unit is km; n represents the accident year of the statistical pipeline, and the unit is year.

(2) Calculating index weights

According to the actual pipeline accident history data, the pipeline failure rate caused by different factors can be calculated, so that the weights of all levels of indexes are calculated. The weight of the ith accident causing index is as follows:

wherein: iω _i The weight of the ith accident causing index is represented.

3. Calculating accident consequence index weight

The fuzzy analytic hierarchy process combines the advantages of the fuzzy method and the analytic hierarchy process, can well solve the problem that thinking cannot be consistent when the analytic hierarchy process has more analytic hierarchy process, uses the fuzzy analytic hierarchy process to determine the weight of the risk evaluation index of the pipe network accident result, and can improve the decision reliability.

(1) Establishing a hierarchical structure model, and determining an index layer

(2) Determining a set of factors for a risk assessment object

n evaluation indexes, u= { u ₁ ,u ₂ ,…，u _i ，…u _n }(i＝1，…，n)

Wherein u is an element set; u (u) _i Is the i-th element of the element set; n is the total number of element sets in the element set.

(3) Determining the judging value of the comparison of two factors

Establishing hierarchical structure of the evaluated object, and after establishing hierarchical structure, respectively Inviting a plurality of experts to compare and score the relative importance between every two factors of the indexes of the same-level same membership and establish a fuzzy complementary matrix. For the matrix values, 9 integers of 1 to 9 exist as a scale of the relative importance of one element compared with the index of the other element when the evaluation matrix is established. Is provided withRepresenting element u _i Relative to element u _j The judgment value (scale) of the "importance" is shown in table 1:

table 1 judges matrix scale and meaning thereof

Scale with a scale bar	Definition of the definition	Interpretation of the drawings
			0.1	Is absolutely not important	Representing the comparison of two elements, element u i Element u of ratio j Is absolutely not important
0.2	Is very unimportant	Representing the comparison of two elements, element u i Element u of ratio j Is very unimportant
			0.3	Less important	Representing the comparison of two elements, element u i Element u of ratio j Less important
0.4	Slightly less important	Representing the comparison of two elements, element u i Element u of ratio j Slightly less important
			0.5	Equally important	Representing the comparison of two elements, element u i And element u j Equally important
0.6	Slightly important	Representing the comparison of two elements, element u i Element u of ratio j Slightly important
			0.7	Is of great importance	Representing the comparison of two elements, element u i Element u of ratio j Is of great importance
0.8	Is very important	Representing the comparison of two elements, element u i Element u of ratio j Is very important
			0.9	Absolute importance of	Representing the comparison of two elements, element u i Element u of ratio j Absolute importance of

(4) Construction of fuzzy complementary matrix

A fuzzy complementary matrix is initially constructed,

0≤S _ij ≤1,S _ii =0.5, and S _ij +S _ji ＝1，(i,j＝1，2，...，n)

Wherein: s is S _ij Representing element u _i Relative to element u _j Judgment value (scale) of "importance" in terms of S _ii Representing element u _i Relative to element u _i Judgment value (scale) of "importance" in terms of S _ji Representing element u _j Relative to element u _i The judgment value (scale) of the "importance" in terms of the term.

And (3) for the score results of the pairwise index comparison to meet the basic requirement of the fuzzy complementary matrix, marking the score matrix which finally meets the score result of the fuzzy complementary matrix as T:

wherein: t is t ₁₁ ～t _nn The index is a scale obtained by comparing and scoring the relative importance between every two factors of the indexes of the same-level same membership.

(5) Calculating weight coefficients for the fuzzy complementary matrix (calculating weight coefficients for each element)

The weight coefficient (RI) = [ r ] is derived using the following formula ₁ ,r ₂ ,r ₃ ,...,r _n ] ^T (T is transposed):

wherein: r is (r) _i Weight coefficient representing the i-th element, t _i Represents the i-th satisfied fuzzy complementary matrix score sum, t _ik Representing scores that satisfy the fuzzy complementary matrix scoring results. Meanwhile, the definition of the fuzzy consistent matrix should be satisfied:

S _ij ＝S _ik -S _jk +0.5，(i,j,k＝1，2，...，n)

S _ik Representing element u _i Relative to element u _k Judgment value of "importance" in terms of S _jk Representing element u _j Relative to element u _k The judgment value of the "importance" is described.

(6) Fuzzy unification process

And carrying out fuzzy consistency processing on the fuzzy judgment matrix by using the following formula:

the weight of the i index is:

and obtaining a fuzzy consistent matrix A after processing:

wherein: cω (C) _i Weight representing the i-th index, r _k A weight coefficient representing the j-th element, r _ij I=1, 2,..n, j=1, 2,..n, for blurring the elements in the coincidence matrix a.

(7) Consistency check

Consistency test is carried out on the fuzzy judgment matrix A,

wherein: t (T) _ij Elements in scoring matrix T representing fuzzy complementary matrix scoring results, A _ij The elements in the fuzzy decision matrix a are represented, and CI (T, a) represents the consistency ratio CI value.

Generally, the smaller the value of the consistency ratio, the better the consistency of the set of data, and when the CI value of the consistency ratio is less than 0.1, the set of data is considered to meet the fuzzy consistency requirement, otherwise, the judgment matrix is appropriately corrected.

Step 4: and calculating the comprehensive index weight of the pipe network safety comprehensive risk assessment.

(1) Determining a composite weight linear expression

Pipeline vulnerability index weight V omega calculated by step 3 _i Accident cause index weight Iω _i Accident consequence index weight Cω _i The index weights of the linear combination expression are:

W＝αVω _i +βIω _i +γCω _i

wherein: alpha, beta and gamma are linear combination coefficients, and W represents index weight of linear combination expression.

(2) Determining optimal combining weights

By combining weights W and V omega _i 、Iω _i And Cω _i The sum of the dispersion is minimum to establish an objective function, which is:

min(||W-Vω _i || ₂ +||W-Iω _i || ₂ +||W-Cω _i || ₂ )

the constraint conditions are as follows:

the alpha, beta and gamma are normalized to obtain the optimal linear combination coefficient alpha ^* 、β ^* 、γ ^* The optimal combining weights are:

W ^* ＝α ^* Vω _i +β ^* Iω _i +γ ^* Cω _i

wherein: w (W) ^* Representing the optimal combining weights.

Step 5: and determining the comprehensive risk score value of the pipe network safety.

Step 6: and (3) evaluating the comprehensive risk of pipe network safety: according to the pipe network safety comprehensive risk assessment comprehensive index weight calculated in the step 4 and the pipe network safety comprehensive risk score value determined in the step 5, calculating the relative risk values of the possibility of pipe section accidents and the severity of the consequences respectively by adopting a linear comprehensive assessment method:

/>

wherein Z is _ij A scoring value for the j-th secondary index of the i-th primary index, Q (Q) _i Score of the ith level index, W ^* _i And P is the relative risk value of the pipe section, wherein the weight is the weight of the ith first-level index.

Step 7: comprehensive risk assessment result of pipe network: the relative risk values of the pipe sections of the gas, water supply and drainage pipe networks are divided into 5 grades, and the relative risk values are sequentially as follows from high risk to low risk: risk, high risk, moderate risk, low risk, and safety, as shown in table 2.

Table 2 risk level table

Compared with the prior art, the invention aims to invent a method for evaluating the comprehensive risk of urban underground pipe network safety, namely evaluating the real-time running safety risk of urban fuel gas, water supply and drainage pipelines, establishing a pipe network safety comprehensive risk evaluation index according to collected historical data such as real-time running data of the fuel gas, water supply and drainage pipelines, pipeline state data, surrounding environment data, space coupling data, pipeline accidents and the like, constructing a pipe network safety comprehensive risk evaluation index system by combining the actual conditions of the urban fuel gas, water supply and drainage pipe networks, aiming at the problem of excessively strong subjectivity of index weight determination, and determining the comprehensive weight of the index by adopting a gray correlation degree analysis method, a reliability engineering mathematical probability statistics method and an improved combined weighting method of a fuzzy hierarchy analysis method, so that the defect of a single weighting method is avoided, and the weighting result is as close to the reality as possible. Meanwhile, a BP neural network is established based on the thought of transfer learning aiming at the lack of scientific methods and basis of index scoring standards, so that the score of the comprehensive risk score of the pipe network safety is more objectively and reasonably determined, and the influence degree of each index on the risk is objectively reflected. And finally, carrying out safety comprehensive risk assessment on the underground pipe network by using a linear comprehensive assessment method to form an urban underground pipe network safety comprehensive risk assessment result, constructing a visual online assessment system, drawing an urban underground pipe network risk level distribution map and generating an assessment report, realizing risk assessment and risk grading, providing auxiliary support for rights and interests for planning, designing, operation management, inspection maintenance and the like, and further reducing the hidden danger of the pipe network operation safety risk.

Based on the urban underground pipe network safety comprehensive risk assessment method provided by the invention, the invention also provides an urban underground pipe network safety comprehensive risk assessment system, which comprises the following modules:

the pipe network related data collection module is used for obtaining urban underground pipe network related data; the related data of the urban underground pipe network comprise basic data of a gas pipe network, a water supply pipe network and a drainage pipe network; the base data includes pipeline real-time operational data, pipeline status data, ambient environment data, spatially coupled data, and pipeline accident history data.

The pipe network related data collection module is used for collecting historical data such as gas, water supply and drainage pipeline real-time operation data, pipeline state data, surrounding environment data, space coupling data, pipeline accidents and the like, and sorting the data.

The pipe network safety comprehensive risk assessment index determining module is used for establishing urban underground pipe network safety comprehensive risk assessment indexes according to urban underground pipe network related data; the urban underground pipe network safety comprehensive risk assessment indexes comprise pipeline vulnerability indexes, accident causing indexes and accident consequence indexes of a gas pipe network, a water supply pipe network and a drainage pipe network.

The pipe network safety comprehensive risk assessment index determining module is used for establishing urban gas, water supply and drainage pipe network risk assessment indexes, including primary indexes of pipeline vulnerability, accident cause and accident result, and other secondary indexes and tertiary indexes.

The pipe network safety comprehensive risk assessment index weight calculation module is used for calculating the weight of the urban underground pipe network safety comprehensive risk assessment index according to the urban underground pipe network related data; the weights of the urban underground pipe network safety comprehensive risk assessment indexes comprise pipeline vulnerability index weights of a gas pipe network, a water supply pipe network and a drainage pipe network, accident causing index weights and accident consequence index weights.

The pipe network safety comprehensive risk assessment index weight calculation module is used for calculating the index weights of the gas, water supply and drainage pipe networks, and respectively calculating the pipeline vulnerability index weight V omega by adopting a gray correlation analysis method _i Accident inducement index weight Iomega calculated by reliability engineering mathematical probability statistics method _i Improved fuzzy analytic hierarchy process for calculating accident consequence index weight Cω _i 。

The comprehensive risk assessment comprehensive index weight calculation module is used for calculating the comprehensive risk assessment comprehensive index weight of the urban underground pipe network according to the comprehensive risk assessment index weight of the urban underground pipe network; the urban underground pipe network safety comprehensive risk assessment comprehensive index weight comprises a gas pipe network, a water supply pipe network and a drainage pipe network safety comprehensive risk assessment comprehensive index weight.

The comprehensive index weight calculation module for the pipe network safety comprehensive risk assessment calculates comprehensive index weights of the pipe network safety comprehensive risk assessment, the comprehensive index weight calculation module for the pipe network safety comprehensive risk assessment is used for calculating the comprehensive index weights of the gas, water supply and drainage pipe networks, a combined weighting method is adopted, comprehensive weights of evaluation indexes are determined by combining expert experience and internal rules among index data, a linear regression idea is introduced, a dynamic weight model is built based on deviation minimization, information loss is reduced to the greatest extent, and a weighting result is as close to reality as possible.

The pipe network safety comprehensive risk score determining module is used for obtaining urban underground pipe network safety comprehensive risk score according to urban underground pipe network related data; the urban underground pipe network safety comprehensive risk scoring score comprises a pipeline vulnerability index score, an accident cause index score and an accident result index score of a gas pipe network, a water supply pipe network and a drainage pipe network.

The pipe network safety comprehensive risk score determining module is used for determining the pipe network safety comprehensive risk score, training expert scoring results based on a deep learning neural network method, and continuously modifying the index score according to the requirements of verification samples until the pipe network safety comprehensive risk score is more in accordance with actual conditions.

The pipe network safety comprehensive risk assessment module is used for calculating the relative risk value of the pipe section of the urban underground pipe network according to the urban underground pipe network safety comprehensive risk scoring value and the urban underground pipe network safety comprehensive risk assessment comprehensive index weight, and assessing the urban underground pipe network safety comprehensive risk according to the relative risk value of the pipe section of the urban underground pipe network; the relative risk values of the pipe sections of the urban underground pipe network comprise relative risk values of the pipe sections of the gas pipe network, the water supply pipe network and the drainage pipe network.

The pipe network safety comprehensive risk assessment module is used for calculating relative risk values of the possibility of pipe section accidents and the severity degree of the consequences by adopting a linear comprehensive assessment method, and finally determining the overall risk classification of the pipe network.

The urban underground pipe network safety comprehensive risk assessment system further comprises:

and the pipe network safety comprehensive risk assessment result visualization module is used for visually presenting the urban underground pipe network safety comprehensive risk assessment result.

The pipe network safety comprehensive risk assessment result visualization module is used for visually displaying low risk, medium risk, higher risk and high risk levels of the pipe network and generating a risk level distribution map and a risk assessment report of the urban underground pipe network.

Fig. 7 to 17 are partial schematic diagrams of the urban underground pipe network safety comprehensive risk assessment system, a system main interface is shown in fig. 7, a system setting assessment object is shown in fig. 8, a system determining pipe line vulnerability optimal index set is shown in fig. 9, a system pipe line vulnerability index dimensionless standardization is shown in fig. 10, a system calculating pipe line vulnerability index association degree is shown in fig. 11, a system constructing pipe line vulnerability assessment matrix is shown in fig. 12, a system vulnerability factor measurement and calculation is shown in fig. 13, a system calculating accident cause index weight is shown in fig. 14, a system calculating accident result index weight is shown in fig. 15, a pipe network comprehensive risk assessment thermodynamic diagram is shown in fig. 16, and a pipe network comprehensive risk assessment kriging interpolation diagram is shown in fig. 17.

Compared with the prior art, the invention aims to provide a city underground pipe network safety comprehensive risk assessment system: by utilizing collected historical data such as gas, water supply and drainage pipeline real-time operation data, pipeline state data, surrounding environment data, space coupling data, pipeline accidents and the like, an index system capable of simultaneously describing the possibility of accident occurrence and the severity of the consequences is established, the influence of mutual coupling of different disaster factors on comprehensive risks is fully considered, the weight of each index is set, the calculation of urban underground pipe network safety risk assessment is realized, an urban underground pipe network risk level distribution map and a risk assessment report can be generated, auxiliary support is provided for planning design, operation management, inspection maintenance and the like of rights units, and the hidden danger of the pipe network operation safety risk is further reduced.

The urban underground pipe network safety comprehensive risk assessment method and system provided by the invention fully utilize collected historical data such as pipeline operation parameters, pipeline data, surrounding environment and facility data, pipeline leakage accident reasons and the like, establish an urban gas, water supply and drainage pipe network risk assessment index system to assess the urban underground pipe network operation safety risk, solve the problems of urban underground pipe network safety operation risk monitoring, identification and assessment, provide data support for urban underground pipe network safety management, and provide basis for establishing a prediction early warning system and a disaster prevention and reduction mechanism. The risk assessment method provided by the invention has universality, can be widely applied to the safety comprehensive risk assessment of various urban underground pipe networks, and can be used for assessing according to different assessment purposes and characteristics of basic data. The evaluation result realized by the urban underground pipe network safety comprehensive risk evaluation method has stronger timeliness, and can better provide decision service for urban underground pipe network safety risk control.

In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.

The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.

Claims (9)

1. The urban underground pipe network safety comprehensive risk assessment method is characterized by comprising the following steps of:

acquiring related data of an urban underground pipe network; the related data of the urban underground pipe network comprise basic data of a gas pipe network, a water supply pipe network and a drainage pipe network; the basic data comprises pipeline real-time operation data, pipeline state data, surrounding environment data, space coupling data and pipeline accident history data;

establishing urban underground pipe network safety comprehensive risk assessment indexes according to the urban underground pipe network related data; the urban underground pipe network safety comprehensive risk assessment indexes comprise pipeline vulnerability indexes of a gas pipe network, a water supply pipe network and a drainage pipe network, accident cause indexes and accident consequence indexes;

Calculating the weight of the urban underground pipe network safety comprehensive risk assessment index according to the urban underground pipe network related data; the weights of the urban underground pipe network safety comprehensive risk assessment indexes comprise pipeline vulnerability index weights of a gas pipe network, a water supply pipe network and a drainage pipe network, accident cause index weights and accident consequence index weights;

calculating the comprehensive risk assessment index weight of the urban underground pipe network according to the comprehensive risk assessment index weight of the urban underground pipe network; the urban underground pipe network safety comprehensive risk assessment comprehensive index weight comprises a gas pipe network, a water supply pipe network and a drainage pipe network safety comprehensive risk assessment comprehensive index weight;

obtaining urban underground pipe network safety comprehensive risk scoring values according to the urban underground pipe network related data; the urban underground pipe network safety comprehensive risk scoring score comprises a pipeline vulnerability index score, an accident incentive index score and an accident consequence index score of a gas pipe network, a water supply pipe network and a drainage pipe network;

calculating the relative risk value of the urban underground pipe network pipe section according to the urban underground pipe network safety comprehensive risk scoring value and the urban underground pipe network safety comprehensive risk assessment comprehensive index weight, and assessing the urban underground pipe network safety comprehensive risk according to the urban underground pipe network pipe section relative risk value; the relative risk values of the urban underground pipe network pipe sections comprise relative risk values of pipe sections of a gas pipe network, a water supply pipe network and a drainage pipe network.

2. The urban underground pipe network safety comprehensive risk assessment method according to claim 1, wherein the weight of the urban underground pipe network safety comprehensive risk assessment index is calculated according to the urban underground pipe network related data, and the method specifically comprises the following steps:

according to basic data of the gas pipe network, the water supply pipe network and the drainage pipe network, respectively calculating pipeline vulnerability index weights of the gas pipe network, the water supply pipe network and the drainage pipe network by adopting a gray correlation degree analysis method;

according to pipeline accident history data of the gas pipe network, the water supply pipe network and the drainage pipe network, accident induction index weights of the gas pipe network, the water supply pipe network and the drainage pipe network are calculated respectively by utilizing a reliability engineering mathematical probability statistics method;

according to the pipeline accident history data of the gas pipe network, the water supply pipe network and the drainage pipe network, an improved fuzzy analytic hierarchy process is adopted to calculate accident consequence index weights of the gas pipe network, the water supply pipe network and the drainage pipe network respectively.

3. The method for evaluating the safety comprehensive risk of the urban underground pipe network according to claim 2, wherein the method for respectively calculating the accident consequence index weights of the gas pipe network, the water supply pipe network and the drainage pipe network by adopting the improved fuzzy analytic hierarchy process comprises the following steps:

Obtaining the relative importance between every two factors of the indexes of the same-level same-membership in accident consequence indexes of the gas pipe network, the water supply pipe network and the drainage pipe network based on a fuzzy analytic hierarchy process;

according to the relative importance between every two factors of the same-level same membership in accident consequence indexes of the gas pipe network, the water supply pipe network and the drainage pipe network, respectively constructing fuzzy complementary matrixes corresponding to the gas pipe network, the water supply pipe network and the drainage pipe network;

respectively calculating weight coefficients of the fuzzy complementary matrixes corresponding to the gas pipe network, the water supply pipe network and the drainage pipe network to obtain weight coefficients corresponding to accident consequence indexes of the gas pipe network, the water supply pipe network and the drainage pipe network;

and respectively calculating accident consequence index weights of the gas pipe network, the water supply pipe network and the drainage pipe network according to the weight coefficients corresponding to the accident consequence indexes of the gas pipe network, the water supply pipe network and the drainage pipe network.

4. The urban underground pipe network safety comprehensive risk assessment method according to claim 1, wherein the urban underground pipe network safety comprehensive risk assessment comprehensive index weight is calculated according to the weight of the urban underground pipe network safety comprehensive risk assessment index, and specifically comprises the following steps:

The pipeline vulnerability index weight of the gas pipe network, the accident causing index weight and the accident result index weight are linearly combined to obtain the comprehensive index weight for evaluating the safety comprehensive risk of the gas pipe network;

linearly combining the pipeline vulnerability index weight, the accident causing index weight and the accident result index weight of the water supply network to obtain the comprehensive risk assessment comprehensive index weight of the water supply network;

and linearly combining the pipeline vulnerability index weight of the drainage pipe network, the accident causing index weight and the accident result index weight to obtain the comprehensive risk assessment comprehensive index weight of the drainage pipe network.

5. The urban underground pipe network safety comprehensive risk assessment method according to claim 1, wherein the urban underground pipe network safety comprehensive risk scoring value is obtained according to the urban underground pipe network related data, and specifically comprises the following steps:

acquiring a training data set; the training data set comprises pipeline real-time operation data, pipeline state data, surrounding environment data, space coupling data and pipeline accident history data of the gas pipeline network, the water supply pipeline network and the water discharge pipeline network in different areas, and pipeline vulnerability index scores, accident cause index scores and accident result index scores of the gas pipeline network, the water supply pipeline network and the water discharge pipeline network corresponding to the pipeline real-time operation data, the pipeline state data, the surrounding environment data, the space coupling data and the pipeline accident history data of the gas pipeline network, the water supply pipeline network and the water discharge pipeline network in different areas;

Training and optimizing the BP neural network by using the training data set to obtain an optimized BP neural network;

and inputting the related data of the urban underground pipe network into the optimized BP neural network to obtain pipeline vulnerability index scores, accident causing index scores and accident consequence index scores of a gas pipe network, a water supply pipe network and a drainage pipe network which are output by the optimized BP neural network.

6. The urban underground pipe network safety comprehensive risk assessment method according to claim 1, wherein calculating the urban underground pipe network pipe section relative risk value according to the urban underground pipe network safety comprehensive risk score value and the urban underground pipe network safety comprehensive risk assessment comprehensive index weight specifically comprises:

multiplying the pipeline vulnerability index score, the accident cause index score and the accident result index score of the gas pipe network with the comprehensive risk assessment comprehensive index weight of the gas pipe network to obtain a pipe section relative risk value of the gas pipe network;

multiplying the pipeline vulnerability index score, the accident cause index score and the accident result index score of the water supply network with the comprehensive risk assessment comprehensive index weight of the water supply network to obtain a relative risk value of a pipe section of the water supply network;

Multiplying the pipeline vulnerability index score, the accident cause index score and the accident result index score of the drainage pipe network with the comprehensive risk assessment index weight of the drainage pipe network to obtain the pipe section relative risk value of the drainage pipe network.

7. The method for evaluating the comprehensive risk of urban underground pipe network safety according to claim 1, wherein the method for evaluating the comprehensive risk of urban underground pipe network safety according to the relative risk value of the urban underground pipe network pipe sections further comprises the following steps:

and visually presenting the urban underground pipe network safety comprehensive risk assessment result.

8. A system for evaluating the risk of urban underground pipe network safety synthesis, the system comprising:

the pipe network related data collection module is used for obtaining urban underground pipe network related data; the related data of the urban underground pipe network comprise basic data of a gas pipe network, a water supply pipe network and a drainage pipe network; the basic data comprises pipeline real-time operation data, pipeline state data, surrounding environment data, space coupling data and pipeline accident history data;

the pipe network safety comprehensive risk assessment index determining module is used for establishing urban underground pipe network safety comprehensive risk assessment indexes according to the urban underground pipe network related data; the urban underground pipe network safety comprehensive risk assessment indexes comprise pipeline vulnerability indexes of a gas pipe network, a water supply pipe network and a drainage pipe network, accident cause indexes and accident consequence indexes;

The pipe network safety comprehensive risk assessment index weight calculation module is used for calculating the weight of the urban underground pipe network safety comprehensive risk assessment index according to the urban underground pipe network related data; the weights of the urban underground pipe network safety comprehensive risk assessment indexes comprise pipeline vulnerability index weights of a gas pipe network, a water supply pipe network and a drainage pipe network, accident cause index weights and accident consequence index weights;

the comprehensive risk assessment comprehensive index weight calculation module is used for calculating the comprehensive risk assessment comprehensive index weight of the urban underground pipe network according to the comprehensive risk assessment index weight of the urban underground pipe network; the urban underground pipe network safety comprehensive risk assessment comprehensive index weight comprises a gas pipe network, a water supply pipe network and a drainage pipe network safety comprehensive risk assessment comprehensive index weight;

the pipe network safety comprehensive risk score determining module is used for obtaining urban underground pipe network safety comprehensive risk score according to the urban underground pipe network related data; the urban underground pipe network safety comprehensive risk scoring score comprises a pipeline vulnerability index score, an accident incentive index score and an accident consequence index score of a gas pipe network, a water supply pipe network and a drainage pipe network;

The pipe network safety comprehensive risk assessment module is used for calculating the relative risk value of the pipe section of the urban underground pipe network according to the urban underground pipe network safety comprehensive risk score value and the urban underground pipe network safety comprehensive risk assessment comprehensive index weight, and assessing the urban underground pipe network safety comprehensive risk according to the relative risk value of the pipe section of the urban underground pipe network; the relative risk values of the urban underground pipe network pipe sections comprise relative risk values of pipe sections of a gas pipe network, a water supply pipe network and a drainage pipe network.

9. The urban underground pipe network security integrated risk assessment system according to claim 8, wherein the system further comprises:

and the pipe network safety comprehensive risk assessment result visualization module is used for visually presenting the urban underground pipe network safety comprehensive risk assessment result.