Regional pipe network safety assessment method and system for intelligent pipe network

Abstract

The invention relates to the technical field of intelligent pipe networks, in particular to a regional pipe network safety assessment method and system for an intelligent pipe network, and the method comprises the steps: 1, collecting the monitoring data of pipe network monitoring points in a to-be-assessed region according to a preset collection frequency, and obtaining the geographic position data and pipeline burial depth data of the monitoring points from a pipe network database; step 2, judging whether the to-be-evaluated area comprises various pipe networks or not, if so, entering step 4, and otherwise, entering step 3; 3, constructing a safety evaluation network of the single pipe network in the area, and evaluating the safety level of the single pipe network; step 4, constructing a multi-pipe network three-dimensional fusion curved surface under the condition that the to-be-evaluated area contains various pipe networks, and performing safety evaluation on the pipe networks in the area in combination with a projection analysis algorithm; and 5, constructing a fault curve corresponding to each pipe network, analyzing the characteristics of the fault curves, and carrying out safety grade division on the corresponding pipe networks.

Description

Technical Field

[0001] The present invention relates to the technical field of smart pipe networks, and in particular to a regional pipe network safety assessment method and system for a smart pipe network. Background Art

[0002] Smart pipe network is a system that uses modern information technology (such as the Internet of Things, big data, artificial intelligence, etc.) to intelligently upgrade traditional pipe networks (such as water supply, gas supply, petroleum, chemical and other pipe systems). It optimizes resource delivery efficiency, improves safety and reduces operating costs through real-time monitoring, data analysis and automated control. The water supply network is usually buried at a depth of 1 to 2 meters to avoid mechanical damage and freezing. In the core area of ​​the city, a ring network is usually used; the gas supply network is usually buried at a depth of more than 1 meter, and a ring network or a branch network is used in the city's main pipeline (medium-pressure pipeline network); the underground communication line pipeline network is layered with the power and water supply pipelines in the urban integrated pipeline corridor. The communication lines are usually located on the upper layer, and the trunk optical cables form a mesh interconnection (such as an inter-city ring network) to ensure high reliability.

[0003] In the intelligent pipe network, various sensors are used to detect pipe network data. When a fault occurs, maintenance personnel are usually required to reach the fault point for repair. The distance and time from the intelligent pipe network command center (or maintenance department) to the fault point affect the fault recovery time, which can reflect the safety and reliability of the pipe network in the area to a certain extent. In the existing technology, usually only the plane distance of the fault point is considered, and the influence of the buried depth of the pipe network and the density of pipelines in the area on fault recovery is not considered. To this end, we propose a pipe network safety assessment method. Summary of the invention

[0004] The present invention takes into account the different types and numbers of pipelines in different areas. When the area to be evaluated contains multiple pipelines, a three-dimensional fusion surface of multiple pipelines is constructed, and a projection analysis algorithm is combined to perform a safety assessment of the pipelines in the area.

[0005] The technical solution proposed by the present invention is: a regional pipeline network safety assessment method for a smart pipeline network, the method comprising: Step 1: Collect monitoring data of the pipe network monitoring points in the area to be evaluated according to the preset collection frequency, and obtain the geographical location data and pipeline buried depth data of the monitoring points from the pipe network database; Step 2: Determine whether the area to be evaluated includes multiple pipe networks. If yes, proceed to step 4; otherwise, proceed to step 3. Step 3: Construct a safety assessment network for a single pipe network in the region to assess the safety level of a single pipe network. Specifically, take the monitoring point as the node and the location of the smart pipe network command center as the central node to construct a single pipe network with the distance from the monitoring point to the central node as the constraint. Use the safety assessment model to convert the distance into fault recovery time, and then map it into a safety level. Step 4: When the area to be evaluated contains multiple pipe networks, a three-dimensional fusion surface of multiple pipe networks is constructed, and a projection analysis algorithm is combined to perform a safety assessment of the pipe networks in the area; Step 5: Combine the geographical location data of the monitoring points, the pipeline burial depth data and the historical fault information of the historical monitoring points to construct a fault curve corresponding to each pipeline network, analyze the characteristics of the fault curve, and classify the safety level of the corresponding pipeline network.

[0006] Preferably, the method of taking the monitoring points as nodes and the location of the smart pipe network command center as the central node to construct a single pipeline network with the distance from the monitoring points to the central node as a constraint includes: Define the single pipeline network topology: define the monitoring points in the pipeline network as nodes, define the smart pipeline network command center as the central node, and define the physical connection between the node and the central node as an edge. The weight of the edge is the distance from the node to the central node. ; Obtain the longitude and latitude coordinates of each monitoring node and the longitude and latitude coordinates of the smart pipe network command center through the GIS system; Calculating distance ,include: Calculate using the Euclidean distance formula ,Right now ;in, Respectively represent the pipe network Middle The longitude coordinates of the monitoring nodes and the longitude coordinates of the central node; Show pipe network Middle The longitude coordinates of the monitoring nodes and the latitude coordinates of the central node; Alternatively, use the network path planning Dijkstra algorithm to calculate , that is, the actual travel distance from the node to the central node; The determining whether the area to be evaluated includes multiple pipe networks includes: obtaining an underground pipe network layout map based on a GIS system or a municipal engineering database; and identifying the type of pipe network in the area to be evaluated through the underground pipe network layout map.

[0007] Preferably, the step of converting the distance into a fault recovery time through a safety assessment model and then mapping it into a safety level includes: Construct a security assessment model, including: Set recovery time ;in, represents the average speed of maintenance vehicles. Indicates fixed response time; Normalize the recovery time to ,in, represents the normalized recovery time, represents the maximum tolerable recovery time; Assume that the security level evaluation function ;in Represents the attenuation coefficient, which is used to control the speed at which the safety level decreases; Make weighted corrections to key nodes, that is ; ; Calculate the average safety rating of a single pipeline network ; Assume the maximum security level is ; Indicates the total number of pipeline nodes; Will be below the preset safety level threshold The longitude and latitude coordinates of the nodes constitute a vulnerable node set and count the number of vulnerable nodes ; Calculate the proportion of vulnerable nodes , when the proportion of vulnerable nodes is higher than the preset safety ratio threshold , it is judged that the safety assessment of the pipeline network has failed.

[0008] Preferably, the construction of a safety assessment network for a single pipe network in a region to assess the safety level of a single pipe network further includes: Based on the coupling effects between multiple pipelines in the area to be assessed, the safety level of a single pipeline network is assessed, including: Construct the adjacent influence domain between pipelines in three-dimensional space, including: Set the horizontal influence radius , vertical layer spacing threshold ; Construct a three-dimensional spatial relationship function: ;in, and Indicates the longitude coordinates of a pipeline monitoring point and its adjacent pipeline monitoring points. and Indicates the longitude coordinates of a pipeline monitoring point and its adjacent pipeline monitoring points respectively; and Indicates the buried depth data of a pipeline monitoring point and its adjacent pipeline monitoring points respectively; Get historical fault record data from the database. Real-time historical fault record data includes: The number of times that the adjacent pipelines failed in the pipeline failure event ; Calculate the base impact rate ; Combined with the distance between pipelines, the basic impact rate is corrected, that is: ,in, is the three-dimensional Euclidean distance between the monitoring points of two adjacent pipelines; represents the distance attenuation coefficient; Calculate pipeline anti-interference capabilities, including: Calculating pipeline vulnerability index ;in, They represent the normalized value of the pipeline age, corrosion resistance grade and material coefficient in the pipeline respectively; They represent the weight values ​​corresponding to pipeline age, corrosion resistance grade and material coefficient respectively; Then, the multi-pipeline coupling risk value is ; After normalization, ,in, , Indicates the number of pipelines in the area to be evaluated; The safety level evaluation function after pipeline coupling is: ;in, represents the coupling weight; The safety level assessment function after pipeline coupling is used to obtain the single pipeline safety level assessment value, which is compared with the preset single pipeline safety level assessment threshold to determine whether the safety level assessment of the pipeline network in the area to be assessed has passed.

[0009] Preferably, when the area to be evaluated contains multiple pipe networks, a three-dimensional fusion surface of multiple pipe networks is constructed, and a projection analysis algorithm is combined to perform a safety assessment on the pipe networks in the area, including: Define the spatial coordinate system of the pipe network: establish a three-dimensional rectangular coordinate system with the center of the area to be evaluated as the origin; Assume that the coordinates of the central node of each pipe network are ;in, Indicates the type of pipe network; Construct a single pipe network surface, including: The pipe network Node The coordinates are converted to polar coordinates relative to their central node: , ; ; Fitting pipe networks using quadratic surface models Depth distribution of: ;in, They represent fitting coefficients, respectively, which are used to represent the variation of pipe network depth with distance and angle; Overlay the surfaces of different pipe networks, including: Superimpose the single pipe network surfaces of each pipe network to form a comprehensive surface ;in, Indicates the weight of each pipe network; Indicates the number of pipe network types; Select a vertical cutting plane to cut a comprehensive curve, including: Let the equation of the plane perpendicular to the cutting surface be ; Solve the intersection line between the composite surface and the vertical cutting surface ; The pipe network Node Project onto the plane along the normal direction of the perpendicular cutting plane , get the projected coordinates ; The kernel density estimation algorithm KDE is used to calculate the node density distribution on the vertical cutting plane, specifically: ;in, and Indicates the width and height of the projection surface; represents the Gaussian kernel function, ,in, Variable representing the Gaussian kernel function; Calculate the overlap ratio of different pipe network nodes on the vertical cutting plane: Coincidence ;in, Represents the pipe network The convex hull or buffer area of ​​the node; represents the overlapping area, Represents the area of ​​non-overlapping regions; Calculate the normalized distance from the node to the central node of the network to which it belongs: ,in, Represents the pipe network The maximum service radius; Conduct comprehensive safety scoring of the pipeline network in the area to be assessed, including: The comprehensive safety level evaluation function is: ;in, , represents the coincidence risk coefficient, represents the distance efficiency, represents the density influence coefficient; The comprehensive safety level assessment value is obtained through the comprehensive safety level assessment function, and compared with the preset multi-pipeline safety level assessment threshold to determine whether the safety level assessment of the pipeline network in the area to be assessed has passed.

[0010] Preferably, the method combines the geographical location data of the monitoring points, the pipeline burial depth data and the historical fault information of the historical monitoring points to construct a fault curve corresponding to each pipeline network, analyzes the characteristics of the fault curve, and divides the corresponding pipeline network into safety levels, including: Obtain the fault record information of various pipelines from the database, including fault time, geographical coordinates of monitoring points, buried depth of each pipeline network and pipeline network type; Mapping fault events into space-time coordinates ;in, Represents the pipe network The failure time of the monitoring point in Represents the pipe network The distance from the faulty monitoring point to the smart pipe network command center, Represents the pipe network The depth of the monitoring point where the fault occurred; Construct a spatiotemporal regular model, specifically by fitting the fault curve through a parameterized three-dimensional curve. ;in, , is the normalized curve parameter, indicating the order of fault monitoring points; represents the fitting coefficients of time, distance and burial depth; The least squares method is used to fit the curve, specifically: ; Based on the fault curve, obtain the temporal and spatial risk thermal distribution, including: Get the three-dimensional kernel function of the fault curve: ; Based on the three-dimensional kernel function, the comprehensive risk score of the area to be assessed is obtained: ;in, ; The safety types of pipeline networks in the areas to be assessed are divided according to the comprehensive risk scores, including: if , then the pipeline network in the area to be assessed is judged to be dangerous; if , then the pipeline network in the area to be evaluated is judged to be safe; among them, Indicates the pipeline network safety score threshold.

[0011] Preferably, the method combines the geographical location data of the monitoring points, the pipeline burial depth data and the historical fault information of the historical monitoring points to construct a fault curve corresponding to each pipeline network, analyzes the characteristics of the fault curve, and divides the corresponding pipeline network into safety levels, and further includes: The results of the regional pipeline network safety classification are displayed through a three-dimensional scatter plot, specifically: the three-dimensional area of ​​the regional pipeline network with dangerous type is marked in red, and the comprehensive risk score is displayed; The three-dimensional area of ​​the regional pipeline network of type safe is marked in green, and a comprehensive risk score is displayed; the three-dimensional area includes time, horizontal distance and pipeline burial depth.

[0012] Preferably, the method combines the geographical location data of the monitoring points, the pipeline burial depth data and the historical fault information of the historical monitoring points to construct a fault curve corresponding to each pipeline network, analyzes the characteristics of the fault curve, and divides the corresponding pipeline network into safety levels, and further includes: The fault curve is sliced ​​at a fixed time, that is, the fault curve is sliced ​​by the time plane, and the intersection of the fault curve and the time plane shows the spatial distribution curve of the monitoring points with faults in the area to be evaluated at a certain time point; By extracting the characteristics of the spatial distribution curve, the fault spatial distribution characteristics are obtained, wherein the fault spatial distribution characteristics include the fault propagation direction and the fault propagation distance; The fault curve is sliced ​​at a fixed depth, that is, the fault curve is sliced ​​by a depth plane, and the intersection of the fault curve and the depth plane displays the time evolution curve of the monitoring point where the fault occurs in a certain buried depth area to be evaluated; By extracting the characteristics of the time evolution curve, the fault time distribution characteristics are obtained, and the fault time distribution characteristics include the time length of the fault propagation between monitoring points and the period of the propagation time.

[0013] A regional pipeline network safety assessment system for a smart pipeline network includes: a processor, a memory and a communication module connected to the processor, and the system is used to execute the regional pipeline network safety assessment method for the smart pipeline network.

[0014] A computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement a regional pipeline safety assessment method for a smart pipeline network.

[0015] Beneficial effects of the present invention: 1. The present invention sets nodes and central nodes, and takes into account that the farther the node is from the central node, the longer the fault recovery time is. The influence of distance on the node fault recovery time is quantified and then mapped to the safety level, that is, the safety level is negatively correlated with the recovery time, so as to conduct a safety assessment of the corresponding pipeline network.

[0016] 2. In the area where there are multiple pipeline networks, the present invention combines the coordinates and burial depth of each pipeline network node to construct the corresponding pipeline network surface, and fuses the surfaces of multiple pipeline networks. Through projection plane analysis, the node distribution characteristics (node ​​density), node overlap and the distance from the node to the central node are integrated to obtain a comprehensive safety score, thereby realizing the regional pipeline network safety assessment under the coupling of multiple pipeline networks and providing a quantitative tool for the spatial correlation of urban terrain. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a flow chart of a regional pipeline safety assessment method for a smart pipeline network of the present invention. DETAILED DESCRIPTION

[0018] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0019] It is to be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the element may be multiple, and the term "one" should not be understood as a limitation on the quantity.

[0020] Embodiment 1: refer to Figure 1 The technical solution provided by the present invention is: a method and system for regional pipe network safety assessment of a smart pipe network, comprising the following steps: Step 1: Collect monitoring data of the pipe network monitoring points in the area to be evaluated according to the preset collection frequency, and obtain the geographical location data and pipeline buried depth data of the monitoring points from the pipe network database; Step 2: Determine whether the area to be evaluated includes multiple pipe networks. If yes, proceed to step 4, otherwise proceed to step 3. Determine whether the area to be evaluated includes multiple pipe networks, including: obtaining an underground pipe network layout map based on a GIS system or a municipal engineering database; identifying the type of pipe network in the area to be evaluated through the underground pipe network layout map; Step 3: Construct a safety assessment network for single pipe networks in the region to assess the safety level of a single pipe network; specifically: Step 3.1: Taking the monitoring point as the node and the location of the smart pipe network command center as the central node, a single pipeline network is constructed with the distance from the monitoring point to the central node as the constraint, including the following sub-steps: Define the single pipeline network topology: define the monitoring points in the pipeline network as nodes, define the smart pipeline network command center as the central node, and define the physical connection between the node and the central node as an edge. The weight of the edge is the distance from the node to the central node. ; Obtain the longitude and latitude coordinates of each monitoring node and the longitude and latitude coordinates of the smart pipe network command center through the GIS system; Calculating distance ,include: Calculate using the Euclidean distance formula ,Right now ;in, Respectively represent the pipe network Middle The longitude coordinates of the monitoring nodes and the longitude coordinates of the central node; Show pipe network Middle The longitude coordinates of the monitoring nodes and the latitude coordinates of the central node; Alternatively, use the network path planning Dijkstra algorithm to calculate , that is, the actual travel distance from the node to the central node; Step 3.2: Convert the distance into fault recovery time through the safety assessment model and then map it into safety level; including the following sub-steps: Construct a security assessment model, including: Set recovery time ;in, represents the average speed of maintenance vehicles. Indicates fixed response time; Normalize the recovery time to ,in, represents the normalized recovery time, represents the maximum tolerable recovery time; Assume that the security level evaluation function ;in Represents the attenuation coefficient, which is used to control the speed at which the safety level decreases; Make weighted corrections to key nodes, that is ; ; Calculate the average safety rating of a single pipeline network ; Assume the maximum security level is ; Indicates the total number of pipeline nodes; Will be below the preset safety level threshold The longitude and latitude coordinates of the nodes constitute a vulnerable node set and count the number of vulnerable nodes ; Calculate the proportion of vulnerable nodes , when the proportion of vulnerable nodes is higher than the preset safety ratio threshold , it is judged that the safety assessment of the pipeline network has failed.

[0021] Step 4: When the area to be evaluated contains multiple pipe networks, a three-dimensional fusion surface of multiple pipe networks is constructed, and a projection analysis algorithm is combined to conduct a safety assessment of the pipe networks in the area, including the following sub-steps: Define the spatial coordinate system of the pipe network: establish a three-dimensional rectangular coordinate system with the center of the area to be evaluated as the origin; Assume that the coordinates of the central node of each pipe network are ;in, Indicates the type of pipe network; Construct a single pipe network surface, including: The pipe network Node The coordinates are converted to polar coordinates relative to their central node: , ; ; Fitting pipe networks using quadratic surface models Depth distribution of: ;in, They represent fitting coefficients, respectively, which are used to represent the variation of pipe network depth with distance and angle; Overlay the surfaces of different pipe networks, including: Superimpose the single pipe network surfaces of each pipe network to form a comprehensive surface ;in, Indicates the weight of each pipe network; Indicates the number of pipe network types; Select a vertical cutting plane to cut a comprehensive curve, including: Let the equation of the plane perpendicular to the cutting surface be ; Solve the intersection line between the composite surface and the vertical cutting surface ; The pipe network Node Project onto the plane along the normal direction of the perpendicular cutting plane , get the projected coordinates ; The kernel density estimation algorithm KDE is used to calculate the node density distribution on the vertical cutting plane, specifically: ;in, and Indicates the width and height of the projection surface; represents the Gaussian kernel function, ,in, Variable representing the Gaussian kernel function; Calculate the overlap ratio of different pipe network nodes on the vertical cutting plane: Coincidence ;in, Represents the pipe network The convex hull or buffer area of ​​the node; represents the overlapping area, Represents the area of ​​non-overlapping regions; Calculate the normalized distance from the node to the central node of the network to which it belongs: ,in, Represents the pipe network The maximum service radius; Conduct comprehensive safety scoring of the pipeline network in the area to be assessed, including: The comprehensive safety level evaluation function is: ;in, , represents the coincidence risk coefficient, represents the distance efficiency, Represents the density influence coefficient; in this embodiment .

[0022] The comprehensive safety level evaluation value is obtained through the comprehensive safety level evaluation function, and compared with the preset multi-pipeline safety level evaluation threshold to determine whether the safety level evaluation of the pipeline network in the evaluated area has passed. If it is greater than the preset and preset multi-pipeline safety level evaluation threshold, it is judged to have passed, otherwise it is judged to have failed.

[0023] For example, the regional pipeline networks to be assessed include: Water supply network, 100 nodes, ; Gas supply network, 80 nodes, ; Communication network, 120 nodes, , cutting plane ; In this embodiment, when hour; , that is, the comprehensive safety score of the pipeline network in the area to be evaluated is 0.7. The preset multi-pipeline safety level assessment threshold is 0.5, 0.7>0.5, and it is judged that the safety level assessment of the area to be evaluated has passed.

[0024] Step 5: Combine the geographical location data of the monitoring points, the pipeline burial depth data and the historical fault information of the historical monitoring points to construct the fault curve corresponding to each pipeline network, analyze the characteristics of the fault curve, and classify the safety level of the corresponding pipeline network. It includes the following sub-steps: Obtain the fault record information of various pipelines from the database, including fault time, geographical coordinates of monitoring points, pipeline burial depth of each pipeline network and pipeline network type; Mapping fault events into space-time coordinates ;in, Represents the pipe network The failure time of the monitoring point in Represents the pipe network The distance from the faulty monitoring point to the smart pipe network command center, Represents the pipe network The depth of the monitoring point where the fault occurred; Construct a spatiotemporal regular model, specifically by fitting the fault curve through a parameterized three-dimensional curve. ;in, , is the normalized curve parameter, indicating the order of fault monitoring points; represents the fitting coefficients of time, distance and burial depth; The least squares method is used to fit the curve, specifically: ; Based on the fault curve, obtain the temporal and spatial risk thermal distribution, including: Get the three-dimensional kernel function of the fault curve: ; Based on the three-dimensional kernel function, the comprehensive risk score of the area to be assessed is obtained: ;in, ; The safety types of pipeline networks in the areas to be assessed are divided according to the comprehensive risk scores, including: if , then the pipeline network in the area to be assessed is judged to be dangerous; if , then the pipeline network in the area to be evaluated is judged to be safe; among them, Indicates the pipeline network safety score threshold.

[0025] Taking the node surface of the water supply network as an example, the distribution and center position of the nodes can be optimized based on the characteristic analysis of the node surface of the water supply network. Specifically: Enter the three-dimensional coordinates of the water supply network node, including the latitude and longitude coordinates and depth (with downward as positive) of the geographic location and the coordinates of the current center node.

[0026] Fit the distribution of nodes through a quadratic surface, and solve the coefficients of the quadratic surface (i.e., the quadratic equation used to represent the quadratic surface) by the least square method; By calculating the Gaussian curvature of the node surface, it is used to represent the local node density or degree of change; Calculating Slope ,in, ; The slope indicates the degree to which the node distribution deviates from the central node. The larger the slope, the farther the node deviates from the central node. Minimize the path cost function ,in, Indicates the path cost (time, manpower, etc.) from each node to the central node, and sets the node weight according to the importance of the node and the size of the node traffic ; The coordinates of the optimal central node are calculated and output through genetic algorithm .

[0027] After obtaining the coordinates of the optimal central node, the shortest path is calculated using the Dijkstra algorithm, specifically: Starting from the optimized central node, the distance between each node is initially assumed to be infinite; the maximum path tree is gradually expanded, the shortest distance to the node is updated, and the shortest time from each node to the optimized central node is output; thereby optimizing the position of the node.

[0028] Embodiment 2: In actual situations, although there is only one type of pipeline network (water supply, gas supply or communication) in the area to be evaluated, the same type of pipeline network includes multiple pipelines. Therefore, it is necessary to consider the coupling effect between multiple pipelines. To this end, the following technical solution is proposed based on Example 1: Based on the coupling effects between multiple pipelines in the area to be assessed, the safety level of a single pipeline network is assessed, including: Construct the adjacent influence domain between pipelines in three-dimensional space, including: Set the horizontal influence radius , vertical layer spacing threshold ; Construct a three-dimensional spatial relationship function: ;in, and Indicates the longitude coordinates of a pipeline monitoring point and its adjacent pipeline monitoring points. and Indicates the longitude coordinates of a pipeline monitoring point and its adjacent pipeline monitoring points respectively; and Indicates the buried depth data of a pipeline monitoring point and its adjacent pipeline monitoring points respectively; Get historical fault record data from the database. Real-time historical fault record data includes: The number of times that the adjacent pipelines failed in the pipeline failure event ; Calculate the base impact rate ; Combined with the distance between pipelines, the basic impact rate is corrected, that is: ,in, is the three-dimensional Euclidean distance between the monitoring points of two adjacent pipelines; represents the distance attenuation coefficient; Calculate pipeline anti-interference capabilities, including: Calculating pipeline vulnerability index ;in, They represent the normalized value of the pipeline age, corrosion resistance grade and material coefficient in the pipeline respectively; They represent the weight values ​​corresponding to pipeline age, corrosion resistance grade and material coefficient respectively; Then, the multi-pipeline coupling risk value is ; After normalization, ,in, , Indicates the number of pipelines in the area to be evaluated; The safety level evaluation function after pipeline coupling is: ;in, represents the coupling weight; The single pipeline safety level assessment value is obtained through the safety level assessment function after pipeline coupling, and compared with the preset single pipeline safety level assessment threshold. If it is greater than the single pipeline safety level assessment threshold, it is judged to have passed the assessment, otherwise it is judged to have failed the assessment.

[0029] Embodiment three: When the safety level of the corresponding pipe network is divided by analyzing the fault curve characteristics, the division results are displayed in a visual manner according to actual needs so as to be more intuitively presented to relevant personnel. To this end, based on the second embodiment, the following technical solution is proposed: The results of the regional pipeline network safety classification are displayed through a three-dimensional scatter plot, specifically: the three-dimensional area of ​​the regional pipeline network with dangerous type is marked in red, and the comprehensive risk score is displayed; The three-dimensional area of ​​the regional pipeline network of type safe is marked in green, and a comprehensive risk score is displayed; the three-dimensional area includes time, horizontal distance and pipeline burial depth.

[0030] Embodiment 4: In actual use, in order to facilitate integration with the prediction system so that the prediction system (such as the LSTM time series analysis system) can obtain data on predicted fault points and predicted fault development trends, the following technical solution is proposed based on the second embodiment: The fault curve is sliced ​​at a fixed time, that is, the fault curve is sliced ​​by the time plane, and the intersection of the fault curve and the time plane shows the spatial distribution curve of the monitoring points with faults in the area to be evaluated at a certain time point; By extracting the characteristics of the spatial distribution curve, the spatial distribution characteristics of the fault are obtained, and the spatial distribution characteristics of the fault include the fault propagation direction and the fault propagation distance; for example, the trend of the fault migrating to the far end or the near end of the pipeline over time is analyzed by the slope of the curve.

[0031] The fault curve is sliced ​​at a fixed depth, that is, the fault curve is sliced ​​by a depth plane, and the intersection of the fault curve and the depth plane displays the time evolution curve of the monitoring point where the fault occurs in a certain buried depth area to be evaluated; By extracting the characteristics of the time evolution curve, the fault time distribution characteristics are obtained, and the fault time distribution characteristics include the length of time for fault propagation between monitoring points and the fault cycle (such as monthly or seasonal fault peaks).

[0032] Through fixed-depth slicing and time evolution analysis, the spatial and temporal patterns of failures in specific buried-depth pipeline networks can be accurately identified, providing a quantitative basis for preventive maintenance and resource scheduling.

[0033] The present invention also provides a regional pipeline network safety assessment system for a smart pipeline network, comprising: a processor and a memory and a communication module connected to the processor, and the system is used to execute the regional pipeline network safety assessment method for the smart pipeline network.

[0034] The present invention also provides a computer-readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the regional pipeline safety assessment method of the smart pipeline network.

[0035] In the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. The embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part, and / or installed from a removable medium. When the computer program is executed by the central processing unit (CPU), the above functions defined in the method of the present application are executed. It should be noted that the computer-readable medium mentioned above in the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wire segments, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, electrical wire, optical cable, RF, etc., or any suitable combination of the foregoing.

[0036] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the boxes can also occur in a different order than the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0037] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and explained in the embodiments. Without departing from the principles, the implementation methods of the present invention may be subject to any changes or modifications.

Claims

1. A regional pipe network safety assessment method for a smart pipe network, characterized in that: The method comprises: Step 1: Collect monitoring data of the pipeline network monitoring points in the area to be evaluated according to the preset collection frequency, and obtain the geographical location data and pipeline buried depth data of the monitoring points from the pipeline network database; Step 2: Determine whether the area to be evaluated includes multiple pipe networks. If yes, proceed to step 4; otherwise, proceed to step 3. Step 3: Construct a safety assessment network for a single pipe network in the region to assess the safety level of a single pipe network. Specifically, take the monitoring point as the node and the location of the smart pipe network command center as the central node to construct a single pipe network with the distance from the monitoring point to the central node as the constraint. Use the safety assessment model to convert the distance into fault recovery time, and then map it into a safety level. Step 4: When the area to be evaluated contains multiple pipe networks, a three-dimensional fusion surface of multiple pipe networks is constructed, and a projection analysis algorithm is combined to perform a safety assessment of the pipe networks in the area; Step 5: Combine the geographical location data of the monitoring points, the pipeline burial depth data and the historical fault information of the historical monitoring points to construct a fault curve corresponding to each pipeline network, analyze the characteristics of the fault curve, and classify the safety level of the corresponding pipeline network.

2. According to the method for regional pipe network safety assessment of a smart pipe network according to claim 1, it is characterized in that: The method uses the monitoring point as a node, the location of the smart pipe network command center as a central node, and constructs a single pipeline network with the distance from the monitoring point to the central node as a constraint, including: Define the single pipeline network topology: define the monitoring points in the pipeline network as nodes, define the smart pipeline network command center as the central node, and define the physical connection between the node and the central node as an edge. The weight of the edge is the distance from the node to the central node. ; Obtain the longitude and latitude coordinates of each monitoring node and the longitude and latitude coordinates of the smart pipe network command center through the GIS system; Calculating distance ,include: Calculate using the Euclidean distance formula ,Right now ;in, Respectively represent the pipe network Middle The longitude coordinates of the monitoring nodes and the longitude coordinates of the central node; Show pipe network Middle The longitude coordinates of the monitoring nodes and the latitude coordinates of the central node; Alternatively, use the network path planning Dijkstra algorithm to calculate , that is, the actual travel distance from the node to the central node; The determining whether the area to be evaluated includes multiple pipe networks includes: obtaining an underground pipe network layout map based on a GIS system or a municipal engineering database; and identifying the type of pipe network in the area to be evaluated through the underground pipe network layout map.

3. A regional pipe network safety assessment method for a smart pipe network according to claim 2, characterized in that: The distance is converted into fault recovery time through the safety assessment model, and then mapped into a safety level, including: Construct a security assessment model, including: Set recovery time ;in, represents the average speed of maintenance vehicles. Indicates fixed response time; Normalize the recovery time to ,in, represents the normalized recovery time, represents the maximum tolerable recovery time; Assume that the security level evaluation function ;in Represents the attenuation coefficient, which is used to control the speed at which the safety level decreases; Make weighted corrections to key nodes, that is ; ; Calculate the average safety rating of a single pipeline network ; Assume the maximum security level is ; Indicates the total number of pipeline nodes; Will be below the preset safety level threshold The longitude and latitude coordinates of the nodes constitute a vulnerable node set and count the number of vulnerable nodes ; Calculate the proportion of vulnerable nodes , when the proportion of vulnerable nodes is higher than the preset safety ratio threshold , it is judged that the safety assessment of the pipeline network has failed.

4. A regional pipe network safety assessment method for a smart pipe network according to claim 3, characterized in that: The construction of a safety assessment network for a single pipe network in a region to assess the safety level of a single pipe network also includes: Based on the coupling effects between multiple pipelines in the area to be assessed, the safety level of a single pipeline network is assessed, including: Construct the adjacent influence domain between pipelines in three-dimensional space, including: Set the horizontal influence radius , vertical layer spacing threshold ; Construct a three-dimensional spatial relationship function: ;in, and Indicates the longitude coordinates of a pipeline monitoring point and its adjacent pipeline monitoring points. and Indicates the longitude coordinates of a pipeline monitoring point and its adjacent pipeline monitoring points respectively; and Indicates the buried depth data of a pipeline monitoring point and its adjacent pipeline monitoring points respectively; Get historical fault record data from the database. Real-time historical fault record data includes: The number of times that the adjacent pipelines failed in the pipeline failure event ; Calculate the base impact rate ; Combined with the distance between pipelines, the basic impact rate is corrected, that is: ,in, is the three-dimensional Euclidean distance between the monitoring points of two adjacent pipelines; represents the distance attenuation coefficient; Calculate pipeline anti-interference capabilities, including: Calculating pipeline vulnerability index ;in, They represent the normalized value of the pipeline age, corrosion resistance grade and material coefficient in the pipeline respectively; They represent the weight values ​​corresponding to pipeline age, corrosion resistance grade and material coefficient respectively; Then, the multi-pipeline coupling risk value is ; After normalization, ,in, , Indicates the number of pipelines in the area to be evaluated; The safety level evaluation function after pipeline coupling is: ;in, represents the coupling weight; The safety level assessment function after pipeline coupling is used to obtain the single pipeline safety level assessment value, which is compared with the preset single pipeline safety level assessment threshold to determine whether the safety level assessment of the pipeline network in the area to be assessed has passed.

5. A regional pipe network safety assessment method for a smart pipe network according to claim 4, characterized in that: When the area to be evaluated contains multiple pipe networks, a three-dimensional fusion surface of multiple pipe networks is constructed, and a projection analysis algorithm is combined to perform a safety assessment on the pipe networks in the area, including: Define the spatial coordinate system of the pipe network: establish a three-dimensional rectangular coordinate system with the center of the area to be evaluated as the origin; Assume that the coordinates of the central node of each pipe network are ;in, Indicates the type of pipe network; Construct a single pipe network surface, including: The pipe network Node The coordinates are converted to polar coordinates relative to their central node: , ; Fitting pipe networks using quadratic surface models Depth distribution of: ;in, They represent fitting coefficients, respectively, which are used to represent the variation of pipe network depth with distance and angle; Overlay the surfaces of different pipe networks, including: Superimpose the single pipe network surfaces of each pipe network to form a comprehensive surface ;in, Indicates the weight of each pipe network; Indicates the number of pipe network types; Select a vertical cutting plane to cut a comprehensive curve, including: Let the equation of the plane perpendicular to the cutting surface be ; Solve the intersection line between the composite surface and the vertical cutting surface ; The pipe network Node Project onto the plane along the normal direction of the perpendicular cutting plane , get the projected coordinates ; The kernel density estimation algorithm KDE is used to calculate the node density distribution on the vertical cutting plane, specifically: ;in, and Indicates the width and height of the projection surface; represents the Gaussian kernel function, ,in, Variable representing the Gaussian kernel function; Calculate the overlap ratio of different pipe network nodes on the vertical cutting plane: Coincidence ;in, Represents the pipe network The convex hull or buffer area of ​​the node; represents the overlapping area, Represents the area of ​​non-overlapping regions; Calculate the normalized distance from the node to the central node of the network to which it belongs: ,in, Represents the pipe network The maximum service radius; Conduct comprehensive safety scoring of the pipeline network in the area to be assessed, including: The comprehensive safety level evaluation function is: ;in, , represents the coincidence risk coefficient, represents the distance efficiency, represents the density influence coefficient; The comprehensive safety level assessment value is obtained through the comprehensive safety level assessment function, and compared with the preset multi-pipeline safety level assessment threshold to determine whether the safety level assessment of the pipeline network in the area to be assessed has passed.

6. A regional pipe network safety assessment method for a smart pipe network according to claim 5, characterized in that: The method combines the geographical location data of the monitoring points, the pipeline burial depth data and the historical fault information of the historical monitoring points to construct a fault curve corresponding to each pipeline network, analyzes the characteristics of the fault curve, and divides the corresponding pipeline network into safety levels, including: Obtain the fault record information of various pipelines from the database, including fault time, geographical coordinates of monitoring points, pipeline burial depth of each pipeline network and pipeline network type; Mapping fault events into space-time coordinates ;in, Represents the pipe network The failure time of the monitoring point in Represents the pipe network The distance from the faulty monitoring point to the smart pipe network command center, Represents the pipe network The depth of the monitoring point where the fault occurred; Construct a spatiotemporal regular model, specifically by fitting the fault curve through a parameterized three-dimensional curve. ;in, , is the normalized curve parameter, indicating the order of fault monitoring points; represents the fitting coefficients of time, distance and burial depth; The curve is fitted by the least squares method, specifically: ； Based on the fault curve, obtain the temporal and spatial risk thermal distribution, including: Get the three-dimensional kernel function of the fault curve: ； Based on the three-dimensional kernel function, the comprehensive risk score of the area to be assessed is obtained: ;in, ; The safety types of pipeline networks in the areas to be assessed are divided according to the comprehensive risk scores, including: if , then the pipeline network in the area to be assessed is judged to be dangerous; if , then the pipeline network in the area to be evaluated is judged to be safe; among them, Indicates the pipeline network safety score threshold.

7. A regional pipe network safety assessment method for a smart pipe network according to claim 6, characterized in that: The method combines the geographical location data of the monitoring points, the pipeline burial depth data and the historical fault information of the historical monitoring points to construct a fault curve corresponding to each pipeline network, analyzes the characteristics of the fault curve, and divides the corresponding pipeline network into safety levels, and also includes: The results of the regional pipeline network safety classification are displayed through a three-dimensional scatter plot, specifically: the three-dimensional area of ​​the regional pipeline network with dangerous type is marked in red, and the comprehensive risk score is displayed; The three-dimensional area of ​​the regional pipeline network of type safe is marked in green, and a comprehensive risk score is displayed; the three-dimensional area includes time, horizontal distance and pipeline burial depth.

8. A regional pipe network safety assessment method for a smart pipe network according to claim 7, characterized in that: The method combines the geographical location data of the monitoring points, the pipeline burial depth data and the historical fault information of the historical monitoring points to construct a fault curve corresponding to each pipeline network, analyzes the characteristics of the fault curve, and divides the corresponding pipeline network into safety levels, and also includes: The fault curve is sliced ​​at a fixed time, that is, the fault curve is sliced ​​by the time plane, and the intersection of the fault curve and the time plane shows the spatial distribution curve of the monitoring points with faults in the area to be evaluated at a certain time point; By extracting the characteristics of the spatial distribution curve, the fault spatial distribution characteristics are obtained, wherein the fault spatial distribution characteristics include the fault propagation direction and the fault propagation distance; The fault curve is sliced ​​at a fixed depth, that is, the fault curve is sliced ​​by a depth plane, and the intersection of the fault curve and the depth plane displays the time evolution curve of the monitoring point where the fault occurs in a certain buried depth area to be evaluated; By extracting the characteristics of the time evolution curve, the fault time distribution characteristics are obtained, and the fault time distribution characteristics include the time length of the fault propagation between monitoring points and the period of the propagation time.

9. A regional pipe network safety assessment system for a smart pipe network, comprising: A processor and a memory and a communication module connected to the processor, characterized in that the system is used to execute a regional pipeline safety assessment method for a smart pipeline network as described in any one of claims 1-8 above.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement a regional pipeline safety assessment method for a smart pipeline network as described in any one of claims 1 to 8.

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