A gas safety emergency management dispatching command method and system

Abstract

The present invention discloses a gas safety emergency management dispatching and commanding method and system, which relates to the technical field of gas pipeline control, including constructing a gas pipeline network distribution map and dividing it into a plurality of sub-gas network distribution blocks, driving a gas pipeline network simulation model to perform simulation based on historical pipeline sensor data, performing hidden danger factor analysis on the simulation results in a simulation reference data group, determining hidden danger factors of nodes at different positions in the gas pipeline network, determining mapped matched hidden danger factors based on matching features of specific position nodes and hidden danger factors of abnormal pipeline sensor data, and determining a dispatching and commanding strategy to be called in a reference dispatching and commanding strategy set based on the mapped matched hidden danger factors, and arranging and commanding based on the called dispatching and commanding strategy. Through the above technical scheme, the present invention realizes timely determination of efficient and accurate dispatching and commanding strategies, and improves the efficiency of solving pipeline abnormal hidden danger problems.

Description

Technical Field

[0001] The present invention relates to the technical field of gas pipeline control and management, and in particular to a gas safety emergency management dispatching and command method and system. Background Art

[0002] With the acceleration of urbanization and the growth of energy demand, gas pipeline networks have become an important part of modern urban energy supply. However, due to pipeline aging, external interference, operational errors and other reasons, gas pipeline networks face many safety hazards, which may lead to serious accidents such as leakage and explosion. Therefore, how to effectively conduct gas pipeline safety emergency management and dispatch command, prevent accidents and reduce accident losses has become an urgent problem to be solved in the current gas industry.

[0003] Traditional gas pipeline safety emergency management mainly relies on manual inspection and experience judgment, which has problems such as low efficiency, low accuracy, slow response speed, etc. Especially in the face of gas pipeline blocks with abnormal sensor data, it is impossible to make efficient and accurate dispatching and command strategies, resulting in abnormal hidden dangers that cannot be solved in time. Therefore, there is an urgent need for a gas safety emergency management dispatching and command method and system that can make dispatching and command strategies in time based on abnormal sensor data. Summary of the invention

[0004] The purpose of the present invention is to provide a gas safety emergency management dispatching and commanding method and system that can provide efficient and accurate dispatching and commanding strategies in a timely manner.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A gas safety emergency management dispatching and commanding method, comprising:

[0007] Obtaining gas pipeline layout information, and based on the gas pipeline layout information, constructing a gas pipeline network distribution map, dividing the gas pipeline network distribution map into blocks, and obtaining a plurality of sub-gas pipeline network distribution blocks;

[0008] A gas pipeline network simulation model is constructed for each sub-gas pipeline network distribution block, and based on the historical pipeline sensor data corresponding to the sub-gas pipeline network distribution block, the gas pipeline network simulation model is configured, and the gas pipeline network simulation model is driven to perform simulation, and the simulation results are correlated with the corresponding historical pipeline sensor data and recorded to obtain a simulation reference data group;

[0009] Conduct hidden danger factor analysis on the simulation results in the simulation reference data group, determine the hidden danger factors of nodes at different locations in the gas pipeline network, and determine the appropriate dispatching and command strategy based on the hidden danger type, degree of harm and difficulty of handling of the hidden danger factors;

[0010] Monitor the gas pipeline network in real time, lock the sub-gas pipeline network distribution block to which the abnormal pipeline sensor data belongs, and identify several dispatching and commanding strategies corresponding to the sub-gas pipeline network distribution block as a reference dispatching and commanding strategy set;

[0011] Based on the matching characteristics of the specific location nodes and hidden danger factors of the abnormal pipeline sensor data, the mapped hidden danger factors are determined, and based on the mapped hidden danger factors, the dispatching and command strategy to be called in the reference dispatching and command strategy set is determined, and arrangements and commands are made based on the called dispatching and command strategy.

[0012] In some embodiments of the present invention, a method for constructing a gas pipeline network distribution map based on gas pipeline layout information includes:

[0013] Use GIS to establish a geographic coordinate system, and determine the location coordinates of different gas pipeline sections and pipeline section nodes based on the gas pipeline layout information;

[0014] Pipe segment expression lines are configured for different gas pipe segments, and pipe segment node expression modules are configured for different pipe segment nodes. Based on the position coordinates of the gas pipe segments and pipe segment nodes, the pipe segment expression lines and pipe segment node expression modules are configured in the geographic coordinate system to obtain a gas pipeline network distribution map.

[0015] In some embodiments of the present invention, the method of dividing the gas pipeline network distribution map into blocks includes:

[0016] Determine a first distribution density of a gas pipe segment and a second distribution density of a pipe segment node in a current gas pipeline network distribution diagram, and construct the first distribution density and the second distribution density into a pipe network density distribution feature data set;

[0017] The gas pipeline network distribution map is divided into scene blocks, and specific pipe network boundary density distribution characteristics are preset for the scene blocks of each scene type. Based on the boundary density distribution characteristics, a comparison and analysis is performed on the pipe network density distribution characteristic data group belonging to the same scene block. Based on the comparison and analysis results, the boundaries of the pipe network in the scene block are delineated to obtain several sub-gas pipeline network distribution blocks.

[0018] In some embodiments of the present invention, the density distribution characteristics of the pipe network boundary include a first distribution density of the gas pipe segment and a second distribution density of the pipe segment node within a preset block range;

[0019] Among them, based on the boundary density distribution characteristics, the method for comparing and analyzing the pipe network density distribution characteristic data group includes:

[0020] Compare the pipeline network density distribution characteristic data group with the pipeline network boundary density distribution characteristic, determine the first distribution density difference of the gas pipeline segment and the second distribution density difference of the pipeline segment node, and record the combination of the first distribution density difference and the second distribution density difference as the distribution density difference parameter group;

[0021] Screening the distribution density difference parameter group, the screening method includes judging whether the first distribution density difference belongs to a preset first distribution density difference interval, and judging whether the second distribution density difference belongs to a preset second distribution density difference interval, if both of the above two judgment conditions are met, marking the corresponding distribution density parameter group;

[0022] The mapping coordinates of the marked distribution difference parameter group mapped on the gas pipeline network distribution map are determined, and the corresponding areas between the mapping coordinates are connected. Based on the connected areas, the scene block division is determined to obtain several sub-gas pipeline network distribution blocks.

[0023] In some embodiments of the present invention, a method for constructing a gas pipeline network simulation model includes:

[0024] Based on the structural information of the gas pipeline network, including pipeline layout and pipe diameter, a gas pipeline network structural model is constructed, and the gas pipeline network structural model is meshed;

[0025] Based on the parameter data initially set for the gas pipeline network, the initial conditions and boundary conditions are configured for the gas pipeline network structure model. Based on the physical properties of the fluid and the internal roughness of the pipeline, the model parameters of the gas pipeline network structure model are configured to obtain a gas pipeline network simulation model.

[0026] In some embodiments of the present invention, a method for performing hidden danger factor analysis on simulation results in a simulation reference data set includes:

[0027] Mark the pipe segments and pipeline nodes in the gas pipeline network simulation model, and configure the loss tolerance parameters for the marked pipe segments and pipe segment nodes;

[0028] The simulation results are analyzed to determine the loss parameters of the fluid on different pipe sections and pipe section nodes in the gas pipeline network simulation model, and based on the difference between the loss resistance parameter and the loss parameter, the pipe sections or pipe section nodes are ranked according to the possibility of abnormality, and several pipe sections or pipe section nodes with the highest ranking are selected as hidden danger factors to obtain a reference hidden danger factor group;

[0029] Among them, the method of sorting the abnormal possibility of pipe sections or pipeline nodes includes:

[0030] Based on the difference between the wear resistance parameter and the wear parameter, the abnormal reference parameter of the corresponding pipe section or pipeline node is determined, and based on the abnormal possibility parameter, the abnormal possibility of the corresponding pipe section or pipeline node is sorted;

[0031] Among them, the expression for calculating the abnormal possibility parameter is:

[0032] ;

[0033] in, is the abnormal reference parameter, is the output function of the abnormal possibility adjustment coefficient, is the difference between the wear resistance parameter and the loss parameter, is the preset i-th difference interval, according to Belong to , output The corresponding abnormal possibility adjustment coefficient, b is the difference adjustment constant.

[0034] In some embodiments of the present invention, based on the matching features of the specific location nodes and hidden danger factors of the abnormal pipeline sensing data, the method for determining the hidden danger factors of the mapping match includes:

[0035] Obtain the specific location nodes of abnormal pipeline sensor data, and map the location nodes to abnormal points in the sub-gas pipeline network distribution blocks;

[0036] The mapped abnormal points are compared with the location nodes of the hidden danger factors corresponding to different simulation reference data to determine the degree of matching. If the degree of matching is greater than or equal to the preset value, the corresponding simulation reference data is identified as the valid simulation reference data, and the hidden danger factor corresponding to the valid simulation reference data is determined as the mapped matching hidden danger factor.

[0037] In some embodiments of the present invention, the method of determining the degree of matching includes:

[0038] Determine the influence range circle of the abnormal point corresponding to the abnormal pipeline sensor data based on the position node of the pipe section or pipeline node pre-associated with the abnormal pipeline sensor data;

[0039] Count the potential danger factors that fall into the impact range circle, mark them, compare the marked potential danger factors with the reference potential danger factor group, and determine the number of mapped first potential danger factors and the number of unmapped second potential danger factors in the reference potential danger factor group;

[0040] Based on the number of the first hidden danger factors and the number of the second hidden danger factors, a matching degree is determined.

[0041] In some embodiments of the present invention, the expression for calculating the degree of matching is:

[0042] ;

[0043] in, is the corresponding value of the matching degree, is the initial consistency judgment function, which is used to initially judge whether the hidden danger factors corresponding to the effective simulation reference data are consistent with the abnormal points. If there is an impact range corresponding to the abnormal point and no hidden danger factor falls into it, then Output 0, otherwise output 1. To adjust the coefficient for matching degree, is the number of the first hidden danger factor, is the number of the second hidden danger factor, and c is the adjustment constant of the number of hidden danger factors.

[0044] In some embodiments of the present invention, there is also disclosed a gas safety emergency management dispatching command system, comprising:

[0045] The first module is used to obtain gas pipeline layout information, and based on the gas pipeline layout information, construct a gas pipeline network distribution map, divide the gas pipeline network distribution map into blocks, and obtain a number of sub-gas pipeline network distribution blocks;

[0046] The second module is used to construct a gas pipeline network simulation model for each sub-gas pipeline network distribution block, and configure the gas pipeline network simulation model based on the historical pipeline sensor data corresponding to the sub-gas pipeline network distribution block, and drive the gas pipeline network simulation model to perform simulation, and record the simulation results after associating them with the corresponding historical pipeline sensor data to obtain a simulation reference data group;

[0047] The third module is used to analyze the hidden danger factors of the simulation results in the simulation reference data group, determine the hidden danger factors of nodes at different locations in the gas pipeline network, and determine the appropriate dispatching and command strategies based on the hidden danger types, hazard levels, and handling difficulties of the hidden danger factors;

[0048] The fourth module is used to monitor the gas pipeline network in real time, lock the sub-gas pipeline network distribution block to which the abnormal pipeline sensor data belongs, and identify several dispatching and commanding strategies corresponding to the sub-gas pipeline network distribution block as a reference dispatching and commanding strategy set;

[0049] The fifth module is used to determine the hidden danger factors that are mapped and matched based on the matching characteristics of the specific location nodes and hidden danger factors of the abnormal pipeline sensor data, and based on the hidden danger factors that are mapped and matched, determine the scheduling and command strategy to be called in the reference scheduling and command strategy set, and arrange and command based on the called scheduling and command strategy.

[0050] The present invention discloses a gas safety emergency management dispatching and commanding method and system, which relates to the technical field of gas pipeline control, including constructing a gas pipeline network distribution map and dividing it into a plurality of sub-gas network distribution blocks, driving a gas pipeline network simulation model to perform simulation based on historical pipeline sensor data, performing hidden danger factor analysis on the simulation results in a simulation reference data group, determining hidden danger factors of nodes at different positions in the gas pipeline network, determining mapped matched hidden danger factors based on matching features of specific position nodes and hidden danger factors of abnormal pipeline sensor data, and determining a dispatching and commanding strategy to be called in a reference dispatching and commanding strategy set based on the mapped matched hidden danger factors, and arranging and commanding based on the called dispatching and commanding strategy. Through the above technical scheme, the present invention realizes timely determination of efficient and accurate dispatching and commanding strategies, and improves the efficiency of solving pipeline abnormal hidden danger problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 A method step diagram of a gas safety emergency management dispatching and commanding method disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0053] The purpose of the present invention is to provide a gas safety emergency management dispatching and commanding method and system that can provide efficient and accurate dispatching and commanding strategies in a timely manner.

[0054] In order to achieve the above object, the present invention adopts the following technical solutions:

[0055] A gas safety emergency management dispatching and command method, see Figure 1 ,include:

[0056] Step S100, obtaining gas pipeline layout information, and based on the gas pipeline layout information, constructing a gas pipeline network distribution map, dividing the gas pipeline network distribution map into blocks, and obtaining a plurality of sub-gas pipeline network distribution blocks.

[0057] In this step, it is necessary to first collect detailed layout information of the gas pipeline, including the physical layout of the pipeline, pipe diameter, material, connection method, location of valves and compressor stations, etc. This information can be obtained through GIS system, pipeline design drawings, on-site surveys, etc. Then, GIS technology is used to convert this information into graphic data to construct a distribution map of the gas pipeline network. Finally, according to the density, application scenarios and physical location of the pipeline distribution, the pipeline network is divided into multiple sub-blocks for subsequent analysis and simulation.

[0058] In some embodiments of the present invention, a method for constructing a gas pipeline network distribution map based on gas pipeline layout information includes:

[0059] Step S101, using the GIS geographic information system to establish a geographic coordinate system, and based on the gas pipeline layout information, determine the location coordinates of different gas pipeline sections and pipeline section nodes.

[0060] In this step, we first use GIS to establish a geographic coordinate system. GIS is a powerful tool that helps users collect, store, manage, analyze and display geographic information. By establishing a geographic coordinate system, we can provide an accurate location and mark for each part of the gas pipeline network.

[0061] Step S102, configuring pipe segment expression lines for different gas pipe segments, configuring pipe segment node expression modules for different pipe segment nodes, and configuring the pipe segment expression lines and pipe segment node expression modules in a geographic coordinate system based on the position coordinates of the gas pipe segments and the pipe segment nodes, to obtain a gas pipeline network distribution map.

[0062] In this step, first collect the detailed layout information of the gas pipeline, including the length, diameter, material, burial depth, etc. of the pipeline; then, use the tools in the GIS system to determine the location coordinates of different gas pipe segments and pipe segment nodes based on the collected layout information. Next, configure the pipe segment expression line segment for each gas pipe segment; the pipe segment expression line segment is a way to represent the pipeline in GIS, which can clearly show the direction and location of the pipeline. For each pipe segment node, configure the pipe segment node expression module; these modules can be icons, labels or other elements that represent the location and characteristics of the node; by configuring these expression modules, the specific location and characteristics of the pipe segment node can be more intuitively displayed. Finally, based on the coordinates of the gas pipe segment and the pipe segment node, these expression segments and expression modules are configured in the geographic coordinate system to obtain the distribution map of the gas pipeline network; this distribution map is a digital, interactive graphical representation that contains all the key information of the pipeline network.

[0063] In some embodiments of the present invention, the method of dividing the gas pipeline network distribution map into blocks includes:

[0064] Step S103, determining the first distribution density of the gas pipe segments and the second distribution density of the pipe segment nodes in the current gas pipeline network distribution map, and constructing the first distribution density and the second distribution density into a pipe network density distribution feature data set.

[0065] In this step, firstly, density analysis is performed on the gas pipe sections and pipe section nodes in the gas pipeline network distribution map; this includes calculating the first distribution density of the pipe sections and the second distribution density of the pipe section nodes; the first distribution density reflects the number and distribution of the pipe sections, while the second distribution density reflects the number and distribution of the pipe section nodes; then, the calculated first distribution density of the pipe sections and the second distribution density of the pipe section nodes are constructed into a pipe network density distribution feature data group; this data group contains the density distribution information of each part in the pipeline network, providing basic data for subsequent block division.

[0066] Step S104, dividing the scene blocks in the gas pipeline network distribution map, and presetting specific pipe network boundary density distribution characteristics for the scene blocks of each scene type, and based on the boundary density distribution characteristics, performing a comparison and analysis on the pipe network density distribution characteristic data group belonging to the same scene block, and based on the comparison and analysis results, demarcating the boundaries of the pipe network in the scene block to obtain a number of sub-gas pipeline network distribution blocks.

[0067] In this step, the gas pipeline network distribution map is divided into scene blocks; the scene block division is based on different scene types, and the scene blocks of each scene type have preset pipe network boundary density distribution characteristics; these boundary characteristics reflect the density distribution of the pipeline network under different scenes. Based on these boundary density distribution characteristics, the pipe network density distribution feature data groups belonging to the same scene block are compared and analyzed; the purpose of the comparison analysis is to determine the pipe network boundary of the same scene block. Based on the results of the comparison analysis, the boundaries of the pipe network in the scene block are delineated to obtain several sub-gas pipeline network distribution blocks; these sub-blocks are divided according to the pipe network density distribution characteristics and the boundary characteristics preset by the scene type, which helps to manage and analyze the gas pipeline network more finely.

[0068] In some embodiments of the present invention, the density distribution characteristics of the pipe network boundary include a first distribution density of the gas pipe segments and a second distribution density of the pipe segment nodes within a preset block range.

[0069] Among them, based on the boundary density distribution characteristics, the method for comparing and analyzing the pipe network density distribution characteristic data group includes:

[0070] Step S1041, compare the pipeline network density distribution characteristic data group and the pipeline network boundary density distribution characteristics, determine the first distribution density difference of the gas pipeline segment and the second distribution density difference of the pipeline segment node, and record the combination of the first distribution density difference and the second distribution density difference at this time as the distribution density difference parameter group.

[0071] Step S1042, screening the distribution density difference parameter group, the screening method includes determining whether the first distribution density difference belongs to a preset first distribution density difference interval, and determining whether the second distribution density difference belongs to a preset second distribution density difference interval. If both of the above two judgment conditions are met, the corresponding distribution density parameter group is marked.

[0072] Step S1043, determine the mapping coordinates of the marked distribution difference parameter group mapped on the gas pipeline network distribution map, connect the corresponding areas between the mapping coordinates, and determine the scene block division based on the connected areas to obtain several sub-gas pipeline network distribution blocks.

[0073] Step S200, constructing a gas pipeline network simulation model for each sub-gas pipeline network distribution block, and configuring the gas pipeline network simulation model based on the historical pipeline sensor data corresponding to the sub-gas pipeline network distribution block, and driving the gas pipeline network simulation model to perform simulation, and associating the simulation results with the corresponding historical pipeline sensor data and recording them to obtain a simulation reference data group.

[0074] In this step, a gas pipeline network simulation model needs to be built for each sub-gas pipeline network distribution block. This includes a structural model and a fluid dynamics model to simulate the gas flow and heat transfer process in the pipeline. Then, the initial conditions and boundary conditions of the simulation model are configured using historical pipeline sensor data to ensure that the model can accurately reflect the actual situation. Next, the model is run to simulate the operating status of the pipeline under different conditions, including changes in parameters such as pressure, flow, and temperature. Finally, the simulation results are associated with historical data to form a set of data for analysis and prediction, providing a basis for subsequent hidden danger factor analysis.

[0075] In some embodiments of the present invention, a method for constructing a gas pipeline network simulation model includes:

[0076] Step S201, based on the structural information of the gas pipeline network, including pipeline layout and pipe diameter, a gas pipeline network structural model is constructed, and the gas pipeline network structural model is meshed;

[0077] Step S202, based on the parameter data initially set for the gas pipeline network, initial conditions and boundary conditions are configured for the gas pipeline network structure model, and based on the physical properties of the fluid and the internal roughness of the pipeline, model parameters are configured for the gas pipeline network structure model to obtain a gas pipeline network simulation model.

[0078] In some embodiments of the present invention, a method for performing hidden danger factor analysis on simulation results in a simulation reference data set includes:

[0079] Step S203, marking the pipe segments and pipeline nodes in the gas pipeline network simulation model, and configuring the loss tolerance parameters for the marked pipe segments and pipe segment nodes.

[0080] Step S204, analyzing the simulation results, determining the loss parameters of the fluid on different pipe sections and pipe section nodes in the gas pipeline network simulation model, and based on the difference between the loss resistance parameter and the loss parameter, sorting the pipe sections or pipe section nodes by abnormal possibility, and selecting several pipe sections or pipe section nodes with a high ranking as hidden danger factors to obtain a reference hidden danger factor group.

[0081] Among them, the method of sorting the abnormal possibility of pipe sections or pipeline nodes includes:

[0082] Step S2041, based on the difference between the wear resistance parameter and the wear parameter, determine the abnormal reference parameter of the corresponding pipe section or pipeline node, and based on the abnormal possibility parameter, sort the abnormal possibility of the corresponding pipe section or pipeline node.

[0083] Among them, the expression for calculating the abnormal possibility parameter is:

[0084] .

[0085] in, is the abnormal reference parameter, is the output function of the abnormal possibility adjustment coefficient, is the difference between the wear resistance parameter and the loss parameter, is the preset i-th difference interval, according to Belong to , output The corresponding abnormal possibility adjustment coefficient, b is the difference adjustment constant.

[0086] Step S300, performing hidden danger factor analysis on the simulation results in the simulation reference data group, determining hidden danger factors of nodes at different locations in the gas pipeline network, and determining an adaptive dispatching and command strategy based on the hidden danger type, hazard degree and handling difficulty of the hidden danger factors.

[0087] In this step, the potential risk factors that may lead to pipeline failure, such as local wear and abnormal pressure, are identified through analysis of simulation data. Then, the impact of potential risk factors on pipeline safety is evaluated based on their type, degree of harm, and difficulty of handling. Based on these analysis results, corresponding dispatching and command strategies are formulated to prevent and respond to potential risks.

[0088] Step S400, real-time monitoring of the gas pipeline network, locking the sub-gas pipeline network distribution block to which the abnormal pipeline sensor data belongs, and identifying several dispatching and commanding strategies corresponding to the sub-gas pipeline network distribution block as a reference dispatching and commanding strategy set.

[0089] In this step, the pipeline operation data is collected in real time through sensors and monitoring systems installed on the pipeline. When the monitoring system detects abnormal data, it quickly locates the sub-gas pipeline network distribution block where the abnormality occurs. Then, according to the location and possible cause of the abnormality, the appropriate strategy is selected from the pre-set dispatching and command strategy set to prepare for emergency response.

[0090] Step S500, based on the matching characteristics of the specific location nodes and hidden danger factors of the abnormal pipeline sensor data, determine the mapped matching hidden danger factors, and based on the mapped matching hidden danger factors, determine the scheduling and command strategy to be called in the reference scheduling and command strategy set, and arrange and command based on the called scheduling and command strategy.

[0091] In this step, the specific hidden danger factors that cause the abnormality are determined based on the location of the abnormal data and the possible hidden danger factors. Then, based on the determined hidden danger factors, the most appropriate strategy is selected from the reference dispatch command strategy set. Finally, according to the selected strategy, the emergency response personnel are commanded and dispatched, and necessary measures are taken to deal with the abnormal situation, such as emergency gas shutdown, pipeline maintenance, etc.

[0092] Through these steps, gas companies can achieve real-time monitoring and intelligent management of pipeline networks, improve the ability to prevent and respond to potential risks, and ensure the safety and reliability of gas supply. At the same time, sub-block division based on application scenarios and physical locations can more effectively manage and control gas pipeline networks and reduce accident risks.

[0093] In some embodiments of the present invention, based on the matching features of the specific location nodes and hidden danger factors of the abnormal pipeline sensor data, the method for determining the hidden danger factors of the mapping match includes:

[0094] Step S501, obtaining specific location nodes of abnormal pipeline sensor data, and mapping the location nodes to abnormal points in the sub-gas pipeline network distribution block.

[0095] Step S502, and compare the mapped abnormal points with the location nodes of the hidden danger factors corresponding to different simulation reference data to determine the degree of matching. If the degree of matching is greater than or equal to the preset value, the corresponding simulation reference data is identified as the valid simulation reference data, and the hidden danger factor corresponding to the valid simulation reference data is determined as the mapped matching hidden danger factor.

[0096] In some embodiments of the present invention, the method of determining the degree of matching includes:

[0097] Step S5021, based on the position node of the pipe section or pipeline node pre-associated with the abnormal pipeline sensor data, determine the influence range circle of the abnormal point corresponding to the abnormal pipeline sensor data.

[0098] Step S5022: Count the potential danger factors that fall into the impact range circle, mark them, compare the marked potential danger factors with the reference potential danger factor group, and determine the number of mapped first potential danger factors and the number of unmapped second potential danger factors in the reference potential danger factor group.

[0099] Step S5023: Determine the degree of matching based on the number of the first hidden danger factors and the number of the second hidden danger factors.

[0100] In some embodiments of the present invention, the expression for calculating the degree of matching is:

[0101] .

[0102] in, is the corresponding value of the matching degree, is the initial consistency judgment function, which is used to initially judge whether the hidden danger factors corresponding to the effective simulation reference data are consistent with the abnormal points. If there is an impact range corresponding to the abnormal point and no hidden danger factor falls into it, then Output 0, otherwise output 1. To adjust the coefficient for matching degree, is the number of the first hidden danger factor, is the number of the second hidden danger factor, and c is the adjustment constant of the number of hidden danger factors.

[0103] In some embodiments of the present invention, there is also disclosed a gas safety emergency management dispatching command system, comprising:

[0104] The first module is used to obtain gas pipeline layout information, and based on the gas pipeline layout information, construct a gas pipeline network distribution map, divide the gas pipeline network distribution map into blocks, and obtain a number of sub-gas pipeline network distribution blocks;

[0105] The second module is used to construct a gas pipeline network simulation model for each sub-gas pipeline network distribution block, and configure the gas pipeline network simulation model based on the historical pipeline sensor data corresponding to the sub-gas pipeline network distribution block, and drive the gas pipeline network simulation model to perform simulation, and record the simulation results after associating them with the corresponding historical pipeline sensor data to obtain a simulation reference data group;

[0106] The third module is used to analyze the hidden danger factors of the simulation results in the simulation reference data group, determine the hidden danger factors of nodes at different locations in the gas pipeline network, and determine the appropriate dispatching and command strategies based on the hidden danger types, hazard levels, and handling difficulties of the hidden danger factors;

[0107] The fourth module is used to monitor the gas pipeline network in real time, lock the sub-gas pipeline network distribution block to which the abnormal pipeline sensor data belongs, and identify several dispatching and commanding strategies corresponding to the sub-gas pipeline network distribution block as a reference dispatching and commanding strategy set;

[0108] The fifth module is used to determine the hidden danger factors that are mapped and matched based on the matching characteristics of the specific location nodes and hidden danger factors of the abnormal pipeline sensor data, and based on the hidden danger factors that are mapped and matched, determine the scheduling and command strategy to be called in the reference scheduling and command strategy set, and arrange and command based on the called scheduling and command strategy.

[0109] The present invention discloses a gas safety emergency management dispatching and commanding method and system, which relates to the technical field of gas pipeline control, including constructing a gas pipeline network distribution map and dividing it into a plurality of sub-gas network distribution blocks, driving a gas pipeline network simulation model to perform simulation based on historical pipeline sensor data, performing hidden danger factor analysis on the simulation results in a simulation reference data group, determining hidden danger factors of nodes at different positions in the gas pipeline network, determining mapped matched hidden danger factors based on matching features of specific position nodes and hidden danger factors of abnormal pipeline sensor data, and determining a dispatching and commanding strategy to be called in a reference dispatching and commanding strategy set based on the mapped matched hidden danger factors, and arranging and commanding based on the called dispatching and commanding strategy. Through the above technical scheme, the present invention realizes timely determination of efficient and accurate dispatching and commanding strategies, and improves the efficiency of solving pipeline abnormal hidden danger problems.

[0110] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A gas safety emergency management dispatching and command method, characterized in that: include: Obtaining gas pipeline layout information, and based on the gas pipeline layout information, constructing a gas pipeline network distribution map, dividing the gas pipeline network distribution map into blocks, and obtaining a plurality of sub-gas pipeline network distribution blocks; A gas pipeline network simulation model is constructed for each sub-gas pipeline network distribution block, and based on the historical pipeline sensor data corresponding to the sub-gas pipeline network distribution block, the gas pipeline network simulation model is configured, and the gas pipeline network simulation model is driven to perform simulation, and the simulation results are correlated with the corresponding historical pipeline sensor data and recorded to obtain a simulation reference data group; Conduct hidden danger factor analysis on the simulation results in the simulation reference data group, determine the hidden danger factors of nodes at different locations in the gas pipeline network, and determine the appropriate dispatching and command strategy based on the hidden danger type, degree of harm and difficulty of handling of the hidden danger factors; Monitor the gas pipeline network in real time, lock the sub-gas pipeline network distribution block to which the abnormal pipeline sensor data belongs, and identify several dispatching and commanding strategies corresponding to the sub-gas pipeline network distribution block as a reference dispatching and commanding strategy set; Based on the matching characteristics of the specific location nodes and hidden danger factors of the abnormal pipeline sensor data, the hidden danger factors matched by the mapping are determined, and based on the hidden danger factors matched by the mapping, the dispatching and commanding strategies to be called in the reference dispatching and commanding strategy set are determined, and arrangements and commands are made based on the called dispatching and commanding strategies; Based on the gas pipeline layout information, the method for constructing a gas pipeline network distribution map includes: Use GIS to establish a geographic coordinate system, and determine the location coordinates of different gas pipeline sections and pipeline section nodes based on the gas pipeline layout information; Pipe segment expression lines are configured for different gas pipe segments, and pipe segment node expression modules are configured for different pipe segment nodes. Based on the position coordinates of the gas pipe segments and pipe segment nodes, the pipe segment expression lines and pipe segment node expression modules are configured in the geographic coordinate system to obtain a gas pipeline network distribution map. The method of dividing the gas pipeline network distribution map into blocks includes: Determine a first distribution density of a gas pipe segment and a second distribution density of a pipe segment node in a current gas pipeline network distribution diagram, and construct the first distribution density and the second distribution density into a pipe network density distribution feature data set; The gas pipeline network distribution map is divided into scene blocks, and a specific pipe network boundary density distribution feature is preset for each scene type of scene block. Based on the boundary density distribution feature, the pipe network density distribution feature data group belonging to the same scene block is compared and analyzed. Based on the comparison and analysis results, the boundaries of the pipe network in the scene block are delineated to obtain several sub-gas pipeline network distribution blocks; Methods for building a gas pipeline network simulation model include: Based on the structural information of the gas pipeline network, including pipeline layout and pipe diameter, a gas pipeline network structural model is constructed, and the gas pipeline network structural model is meshed; Based on the parameter data initially set for the gas pipeline network, the initial conditions and boundary conditions are configured for the gas pipeline network structure model. Based on the physical properties of the fluid and the internal roughness of the pipeline, the model parameters are configured for the gas pipeline network structure model to obtain a gas pipeline network simulation model. The method for performing hidden danger factor analysis on the simulation results in the simulation reference data group includes: Mark the pipe segments and pipeline nodes in the gas pipeline network simulation model, and configure the loss tolerance parameters for the marked pipe segments and pipe segment nodes; The simulation results are analyzed to determine the loss parameters of the fluid on different pipe sections and pipe section nodes in the gas pipeline network simulation model, and based on the difference between the loss resistance parameter and the loss parameter, the pipe sections or pipe section nodes are ranked according to the possibility of abnormality, and several pipe sections or pipe section nodes with the highest ranking are selected as hidden danger factors to obtain a reference hidden danger factor group; Among them, the method of sorting the abnormal possibility of pipe sections or pipeline nodes includes: Based on the difference between the wear resistance parameter and the wear parameter, the abnormal reference parameter of the corresponding pipe section or pipeline node is determined, and based on the abnormal possibility parameter, the abnormal possibility of the corresponding pipe section or pipeline node is sorted; Among them, the expression for calculating the abnormal possibility parameter is: ； in, is the abnormal reference parameter, is the output function of the abnormal possibility adjustment coefficient, is the difference between the wear resistance parameter and the loss parameter, is the preset i-th difference interval, according to Belong to , output The corresponding abnormal possibility adjustment coefficient, b is the difference adjustment constant.

2. A gas safety emergency management dispatching and commanding method according to claim 1, characterized in that: The density distribution characteristics of the pipe network boundary include a first distribution density of the gas pipe segment and a second distribution density of the pipe segment node within the preset block range; Among them, based on the boundary density distribution characteristics, the method for comparing and analyzing the pipe network density distribution characteristic data group includes: Compare the pipeline network density distribution characteristic data group with the pipeline network boundary density distribution characteristic, determine the first distribution density difference of the gas pipeline segment and the second distribution density difference of the pipeline segment node, and record the combination of the first distribution density difference and the second distribution density difference as the distribution density difference parameter group; Screening the distribution density difference parameter group, the screening method includes judging whether the first distribution density difference belongs to a preset first distribution density difference interval, and judging whether the second distribution density difference belongs to a preset second distribution density difference interval, if both of the above two judgment conditions are met, marking the corresponding distribution density parameter group; The mapping coordinates of the marked distribution difference parameter group mapped on the gas pipeline network distribution map are determined, and the corresponding areas between the mapping coordinates are connected. Based on the connected areas, the scene block division is determined to obtain several sub-gas pipeline network distribution blocks.

3. A gas safety emergency management dispatching and commanding method according to claim 1, characterized in that: Based on the matching characteristics of the specific location nodes and hidden danger factors of the abnormal pipeline sensor data, the method for determining the hidden danger factors of the mapping match includes: Obtain the specific location nodes of abnormal pipeline sensor data, and map the location nodes to abnormal points in the sub-gas pipeline network distribution blocks; The mapped abnormal points are compared with the location nodes of the hidden danger factors corresponding to different simulation reference data to determine the degree of matching. If the degree of matching is greater than or equal to the preset value, the corresponding simulation reference data is identified as the valid simulation reference data, and the hidden danger factor corresponding to the valid simulation reference data is determined as the mapped matching hidden danger factor.

4. A gas safety emergency management dispatching and commanding method according to claim 3, characterized in that: Methods for determining the degree of match include: Determine the influence range circle of the abnormal point corresponding to the abnormal pipeline sensor data based on the position node of the pipe section or pipeline node pre-associated with the abnormal pipeline sensor data; Count the potential danger factors that fall into the impact range circle, mark them, compare the marked potential danger factors with the reference potential danger factor group, and determine the number of mapped first potential danger factors and the number of unmapped second potential danger factors in the reference potential danger factor group; Based on the number of the first hidden danger factors and the number of the second hidden danger factors, a matching degree is determined.

5. A gas safety emergency management dispatching and commanding method according to claim 4, characterized in that: The expression for calculating the degree of matching is: ； in, is the corresponding value of the matching degree, is the initial consistency judgment function, which is used to initially judge whether the hidden danger factors corresponding to the effective simulation reference data are consistent with the abnormal points. If there is an impact range corresponding to the abnormal point and no hidden danger factor falls into it, then Output 0, otherwise output 1. To adjust the coefficient for matching degree, is the number of the first hidden danger factor, is the number of the second hidden danger factor, and c is the adjustment constant of the number of hidden danger factors.

6. A gas safety emergency management dispatching command system, characterized in that: A gas safety emergency management dispatching and commanding method for executing any one of claims 1 to 5, comprising: The first module is used to obtain gas pipeline layout information, and based on the gas pipeline layout information, construct a gas pipeline network distribution map, divide the gas pipeline network distribution map into blocks, and obtain a number of sub-gas pipeline network distribution blocks; The second module is used to construct a gas pipeline network simulation model for each sub-gas pipeline network distribution block, and configure the gas pipeline network simulation model based on the historical pipeline sensor data corresponding to the sub-gas pipeline network distribution block, and drive the gas pipeline network simulation model to perform simulation, and record the simulation results after associating them with the corresponding historical pipeline sensor data to obtain a simulation reference data group; The third module is used to analyze the hidden danger factors of the simulation results in the simulation reference data group, determine the hidden danger factors of nodes at different locations in the gas pipeline network, and determine the appropriate dispatching and command strategies based on the hidden danger types, hazard levels, and handling difficulties of the hidden danger factors; The fourth module is used to monitor the gas pipeline network in real time, lock the sub-gas pipeline network distribution block to which the abnormal pipeline sensor data belongs, and identify several dispatching and commanding strategies corresponding to the sub-gas pipeline network distribution block as a reference dispatching and commanding strategy set; The fifth module is used to determine the hidden danger factors that are mapped and matched based on the matching characteristics of the specific location nodes and hidden danger factors of the abnormal pipeline sensor data, and based on the hidden danger factors that are mapped and matched, determine the scheduling and command strategy to be called in the reference scheduling and command strategy set, and arrange and command based on the called scheduling and command strategy.

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