Method for smart gas pipeline network inspection and internet of things system thereof

1 . A method for smart gas pipeline network inspection, implemented on a smart gas pipeline network security management platform based on an Internet of Things system for smart gas pipeline network inspection, and the method comprising:

obtaining a gas pipeline network distribution;

determining at least one inspection sub-area based on the gas pipeline network distribution, including:

determining at least one inspection personnel station based on the gas pipeline network distribution, including:

constructing a first pipeline network graph based on the gas pipeline network distribution, wherein nodes of the first pipeline network graph correspond to pipeline network branches in the gas pipeline network distribution; edges of the first pipeline network graph correspond to pipelines in the gas pipeline network distribution; and each edge of the first pipeline network graph corresponds to a pipeline connecting two pipeline network branches;

outputting, based on the nodes of the first pipeline network graph and/or the edges of the first pipeline network graph through a probability determination model, a probability that the nodes of the first pipeline network graph and/or the edges of the first pipeline network graph are inspection personnel stations, wherein

the probability determination model is a trained graph neural network model, the probability determination model is obtained by training a plurality of sample pipeline network graphs with labels, and a label setting manner includes:

 in each of the plurality of sample pipeline network graphs, setting a label of a node or an edge that is actually set as a inspection personnel station to 1; and

 setting values of labels of other nodes or edges in a range of [0,1] based on a preset attenuation degree;

a training process of the probability determination model includes:

 inputting each sample pipeline network graph into the probability determination model;

 obtaining a probability value of each node and edge as a inspection personnel station outputted by the probability determination model based on the each node and edge in the sample pipeline network graph;

 constructing a loss function based on a label of each sample pipeline network graph and probability values outputted by the probability determination model; and

 obtaining a trained probability determination model until preset conditions are satisfied, wherein the preset conditions include the loss function being less than a first threshold, convergence, or the training cycle reaching a second threshold; and

determining the at least one inspection personnel station based on an output of the nodes of the first pipeline network graph and the edges of the first pipeline network graph; and

determining the at least one inspection sub-area based on the gas pipeline network distribution and the at least one inspection personnel station;

determining, based on the at least one inspection sub-area, an inspection plan for each of the at least one inspection sub-area, the inspection plan at least including an inspection frequency; and

controlling at least one inspection engineering-related device to perform a corresponding inspection operation on a pipeline network device based on the inspection plan, wherein the at least one inspection engineering-related device includes an alarm device, and the pipeline network device includes the pipelines in the gas pipeline network distribution and gate stations.

2 . The method according to claim 1 , wherein the Internet of Things system for smart gas pipeline network inspection further includes a smart gas user platform, a smart gas service platform, a smart gas sensor network platform, and a smart gas object platform;

the smart gas object platform is configured to obtain the gas pipeline network distribution, and transmit the gas pipeline network distribution to the smart gas pipeline network security management platform through the smart gas sensor network platform; and

the method further includes:

feeding back the inspection plan to the smart gas user platform based on the smart gas service platform.

3 . The method according to claim 1 , wherein the smart gas user platform includes a gas user sub-platform and a supervision user sub-platform;

the smart gas service platform includes a smart gas consumption service sub-platform corresponding to the gas user sub-platform and a smart supervision service sub-platform corresponding to the supervision user sub-platform;

the smart gas pipeline network security management platform includes a smart gas pipeline network inspection management sub-platform and a smart gas data center; wherein the smart gas pipeline network inspection management sub-platform includes an inspection plan management module, an inspection time warning module, an inspection status management module, and an inspection problem management module;

the smart gas sensor network platform includes a smart gas pipeline network device sensor network sub-platform and a smart gas pipeline network inspection engineering sensor network sub-platform; and

the smart gas object platform includes a smart gas pipeline network device object sub-platform and a smart gas pipeline network inspection engineering object sub-platform.

4 . The method of claim 3 , wherein the method further includes:

sending the inspection plan to the supervision user sub-platform to unify scheduling and management of inspection personnel based on the inspection plan;

in response to determining that relevant data of the pipeline network device fluctuates abnormally, controlling the inspection plan management module to set and adjust the inspection plan of the pipeline network device to extend an inspection cycle and change an inspection route based on an original inspection plan;

sending an adjusted inspection plan to the supervision user sub-platform and the smart gas pipeline network inspection engineering object sub-platform to control the at least one inspection engineering-related device to inspect a gas pipeline based on the adjusted inspection plan, or guiding at least one inspection personnel to inspect the gas pipeline based on the adjusted inspection plan.

5 . The method according to claim 1 , wherein the inspection plan further includes an inspection route; the inspection sub-area includes an inspection personnel station and at least one inspection point; and

the determining an inspection plan for each of the at least one inspection sub-area includes:

determining a route that traverses each of the at least one inspection point from the inspection personnel station in the inspection sub-area as the inspection route; and

determining the inspection plan of the inspection sub-area based on the inspection route.

6 . The method according to claim 5 , wherein the each inspection point in the at least one inspection point has an inspection priority value; the inspection route is determined based on the inspection priority value of the each inspection point;

the inspection priority value is determined based on pipeline features corresponding to the inspection point; and

the method further comprises:

controlling the at least one inspection engineering-related device to inspect a gas pipeline at the inspection point based on the inspection priority value of the each inspection point; or

guiding at least one inspection personnel to inspect the gas pipeline at the inspection point based on the inspection priority value of the each inspection point.

7 . The method according to claim 6 , wherein the inspection priority value is determined based on pipeline features corresponding to the inspection point includes:

determining the inspection priority value of the inspection point through a feature determination model based on the pipeline features corresponding to the inspection point.

8 . A non-transitory computer-readable storage medium storing computer instructions, wherein after reading the computer instructions in the storage medium, a computer executes the method for smart gas pipeline network inspection according to claim 1 .

9 . The method of claim 1 , wherein the method further includes: determining a number of inspection personnel stations based on an average value of sub-graph complexity of a plurality of sub-graphs after a pipeline network sub-graph is divided; and setting up the inspection personnel stations based on the number of inspection personnel stations.

10 . The method according to claim 1 , wherein the determining the at least one inspection sub-area based on the gas pipeline network distribution and the at least one inspection personnel station includes:

constructing a second pipeline network graph based on the gas pipeline network distribution and the at least one inspection personnel station;

wherein nodes of the second pipeline network graph include pipeline network nodes and station nodes; the pipeline network nodes correspond to the pipeline network in the gas pipeline network distribution; the station nodes correspond to the at least one inspection personnel station; and edges of the second pipeline network graph correspond to the pipelines in the gas pipeline network distribution;

determining at least one second pipeline network sub-graph by a preset sub-graph segmentation manner based on the second pipeline network graph; and

determining the at least one inspection sub-area based on the at least one second pipeline network sub-graph.

11 . The method according to claim 10 , wherein the preset sub-graph segmentation manner includes:

determining at least one initial second pipeline network sub-graph based on the station nodes of the second pipeline network graph; wherein each of the at least one initial second pipeline network sub-graph includes a station node;

using the pipeline network nodes of the second pipeline network graph as nodes to be allocated, and selecting a target node from the nodes to be allocated based on a preset screening manner;

determining an initial second pipeline network sub-graph to which the target node belongs based on a target function value of each initial second pipeline network sub-graph corresponding to the target node;

determining a new target node and repeating above operations until the initial second pipeline network sub-graphs to which all the nodes to be allocated belong are determined; and

using the each initial second pipeline network sub-graph after foregoing operations are completed as a final second pipeline network sub-graph for determining a corresponding inspection sub-area.

12 . An Internet of Things system for smart gas pipeline network inspection, comprising: a smart gas user platform, a smart gas service platform, a smart gas pipeline network security management platform, a smart gas sensor network platform, and a smart gas object platform; wherein

the smart gas object platform is configured to obtain a gas pipeline network distribution, and transmit the gas pipeline network distribution to the smart gas pipeline network security management platform through the smart gas sensor network platform;

the smart gas pipeline network security management platform is configured to:

determine at least one inspection sub-area based on the gas pipeline network distribution; wherein to determine the at least one inspection sub-area based on the gas pipeline network distribution, the smart gas pipeline network security management platform is further configured to:

determine at least one inspection personnel station based on the gas pipeline network distribution, wherein to determine the at least one inspection personnel station based on the gas pipeline network distribution, the smart gas pipeline network security management platform is further configured to:

construct a first pipeline network graph based on the gas pipeline network distribution, wherein the nodes of the first pipeline network graph correspond to pipeline network branches in the gas pipeline network distribution; edges of the first pipeline network graph correspond to pipelines in the gas pipeline network distribution; and each edge of the first pipeline network graph corresponds to a pipeline connecting two pipeline network branches;

output, based on the nodes of the first pipeline network graph and/or the edges of the first pipeline network graph through a probability determination model, a probability that the nodes of the first pipeline network graph and/or the edges of the first pipeline network graph are inspection personnel stations, wherein

 the probability determination model is a trained graph neural network model, the probability determination model is obtained by training a plurality of sample pipeline network graphs with labels, and a label setting manner includes:

 in each of the plurality of sample pipeline network graphs, setting a label of a node or an edge that is actually set as a inspection personnel station to 1; and

 setting values of labels of other nodes or edges in a range of [0,1], based on a preset attenuation degree;

 a training process of the probability determination model includes:

 inputting each sample pipeline network graph into the probability determination model;

 obtaining a probability value of each node and edge as a inspection personnel station outputted by the probability determination model based on the each node and edge in the sample pipeline network graph;

 constructing a loss function based on a label of each sample pipeline network graph and probability values outputted by the probability determination model; and

 obtaining a trained probability determination model until preset conditions are satisfied, wherein the preset conditions include the loss function being less than a first threshold, convergence, or the training cycle reaching a second threshold; and

determine the at least one inspection personnel station based on an output of the nodes of the first pipeline network graph and the edges of the first pipeline network graph; and

determine the at least one inspection sub-area based on the gas pipeline network distribution and the at least one inspection personnel station;

determine, based on the at least one inspection sub-area, an inspection plan for each of the at least one inspection sub-area, the inspection plan at least including an inspection frequency; and

control at least one inspection engineering-related device to perform a corresponding inspection operation on a pipeline network device based on the inspection plan, wherein

the at least one inspection engineering-related device includes an alarm device, and

the pipeline network device includes the pipelines in the gas pipeline network distribution and gate stations;

the smart gas service platform is configured to feed back the inspection plan to the smart gas user platform.

13 . The Internet of Things system according to claim 12 , wherein the smart gas user platform includes a gas user sub-platform and a supervision user sub-platform;

the smart gas service platform includes a smart gas consumption service sub-platform corresponding to the gas user sub-platform and a smart supervision service sub-platform corresponding to the supervision user sub-platform;

the smart gas pipeline network security management platform includes a smart gas pipeline network inspection management sub-platform and a smart gas data center; wherein the smart gas pipeline network inspection management sub-platform includes an inspection plan management module, an inspection time warning module, an inspection status management module, and an inspection problem management module;

the smart gas sensor network platform includes a smart gas pipeline network device sensor network sub-platform and a smart gas pipeline network inspection engineering sensor network sub-platform; and

the smart gas object platform includes a smart gas pipeline network device object sub-platform and a smart gas pipeline network inspection engineering object sub-platform.

14 . The Internet of Things system according to claim 13 , wherein

the inspection plan management module is configured to:

set and adjust the inspection plan of the pipeline network device, and send the inspection plan based on the smart gas data center through the smart gas pipeline network inspection engineering sensor network sub-platform to the smart gas pipeline network inspection engineering object sub-platform; and

send a inspection plan that affects gas consumption of users to the gas user sub-platform through the smart gas consumption service sub-platform through the smart gas data center; and

the inspection time management module is configured to:

arrange a inspection plan that is not executed according to an inspection time, and prompt and alarm based on a preset time threshold; and

generate an inspection reminder instruction, and send the inspection reminder instruction to the smart gas pipeline network inspection engineering object sub-platform through the smart gas pipeline network inspection engineering sensor network sub-platform based on the smart gas data center.

15 . The Internet of Things system according to claim 12 , wherein the smart gas pipeline network security management platform is further configured to:

construct a second pipeline network graph based on the gas pipeline network distribution and the at least one inspection personnel station;

wherein nodes of the second pipeline network graph include pipeline network nodes and station nodes; the pipeline network nodes correspond to the pipeline network in the gas pipeline network distribution; the station nodes correspond to the at least one inspection personnel station; and edges of the second pipeline network graph correspond to the pipelines in the gas pipeline network distribution;

determine at least one second pipeline network sub-graph by a preset sub-graph segmentation manner based on the second pipeline network graph; and

determine the at least one inspection sub-area based on the at least one second pipeline network sub-graph.

16 . The Internet of Things system according to claim 12 , wherein the inspection plan further includes an inspection route; the inspection sub-area includes an inspection personnel station and at least one inspection point; and

the smart gas pipeline network security management platform is further configured to:

determine a route that traverses each of the at least one inspection point from the inspection personnel station in the inspection sub-area as the inspection route; and

determining the inspection plan of the inspection sub-area based on the inspection route.

17 . The system of claim 16 , wherein the each inspection point in the at least one inspection point has an inspection priority value; the inspection route is determined based on the inspection priority value of the each inspection point; and

the inspection priority value is determined based on pipeline features corresponding to the inspection point; and

the smart gas pipeline network security management platform is further configured to:

control the at least one inspection engineering-related device to inspect a gas pipeline at the inspection point based on the inspection priority value of the each inspection point; or

guide at least one inspection personnel to inspect the gas pipeline at the inspection point based on the inspection priority value of the each inspection point.

18 . The Internet of Things system according to claim 17 , wherein the smart gas pipeline network security management platform is further configured to:

determine the inspection priority value of the inspection point through a feature determination model based on the pipeline features corresponding to the inspection point.