CN117688775A - Method, device, equipment and storage medium for generating leakage data of gas pipe network - Google Patents
Method, device, equipment and storage medium for generating leakage data of gas pipe network Download PDFInfo
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Abstract
The application discloses a gas pipe network leakage data generation method, device, equipment and storage medium, relates to the technical field of urban gas pipe network data information, and comprises the following steps: acquiring monitoring data of a preset gas pipe network, and determining gas information of the preset gas pipe network based on the monitoring data and a pipe network topology structure of the preset gas pipe network; constructing a directed acyclic graph of a preset gas pipe network based on gas information and pipe network topology structure, and determining a flow reduction value based on the directed acyclic graph and leakage hole information; updating the pipe network topology structure by using the leakage hole information to obtain an updated pipe network topology structure, and updating the monitoring data by using the flow reduction value to obtain updated data; and simulating through the updated pipe network topological structure and the updated data, and screening the obtained simulation data to obtain target simulation leakage data. Therefore, the problem that the neural network model cannot be trained due to the fact that leakage data of a real pipe network are sparse can be solved.
Description
Technical Field
The invention relates to the technical field of urban fuel pipe network data information, in particular to a method, a device and equipment for generating leakage data of a fuel pipe network and a storage medium.
Background
Traditional methods for identifying leakage of natural gas pipe network comprise a gas sensor network, an infrared imaging technology, abnormal sound detection of a pipeline, data analysis, inspection of an aircraft, a remote monitoring system and the like, and most of the methods are time-consuming and labor-consuming, and are required to consume a great deal of manpower, material resources and financial resources. By training the neural network model for identifying the leakage of the pipe network, the multi-source data can be analyzed in real time, the leakage condition of the gas pipe network can be quickly found, the leakage pipeline can be positioned, and personnel can be timely dispatched to carry out maintenance so as to relieve the huge loss and harm caused by the leakage of the gas.
However, neural network models require large orders of magnitude of data to support training of the model, and in order to guarantee the value of the model, data is required to cover various leakage states. However, in the actual pipe network, the accident condition of the gas pipe network is less, the corresponding data is insufficient, and the training of the neural network model cannot be supported. The leakage data obtained by physical simulation is extremely simple in form and has great difference from a natural gas pipe network under a real working condition, so that the leakage data obtained by simulation is lack of real significance.
Disclosure of Invention
Accordingly, the present invention is directed to a method, an apparatus, a device, and a storage medium for generating leakage data of a gas pipe network, which can simulate the leakage situation of the gas pipe network, and further generate the leakage data of the gas pipe network approaching to the real situation, so as to solve the problem that the training of the neural network model cannot be supported due to the rare leakage data of the real pipe network. The specific scheme is as follows:
in a first aspect, the present application discloses a method for generating leakage data of a gas pipe network, including:
acquiring monitoring data of a preset gas pipe network, and determining gas information of the preset gas pipe network based on the monitoring data and a pipe network topology structure of the preset gas pipe network;
constructing a directed acyclic graph of the preset gas pipe network based on the gas information and the pipe network topological structure, and determining a flow reduction value based on the directed acyclic graph and the leakage hole information;
updating the pipe network topological structure by utilizing the leakage hole information to obtain an updated pipe network topological structure, and updating the monitoring data by utilizing the flow reduction value to obtain updated data; the updated pipe network topological structure is a topological structure for simulating leakage conditions;
And simulating through the updated pipe network topological structure and the updated data, and screening the obtained simulation data to obtain target simulation leakage data.
Optionally, before acquiring the monitoring data of the preset gas pipe network and determining the gas information of the preset gas pipe network based on the monitoring data and the pipe network topology structure of the preset gas pipe network, the method further includes:
and acquiring a node information table and a pipeline table of the preset gas pipeline network based on a preset information system, so as to determine the pipeline network topology structure of the preset gas pipeline network based on the node information in the node information table and the pipeline information in the pipeline table.
Optionally, the acquiring monitoring data of the preset gas pipe network, and determining gas information of the preset gas pipe network based on the monitoring data and a pipe network topology structure of the preset gas pipe network includes:
acquiring node flow data and air source point pressure data of a preset gas pipe network based on a preset flow acquisition device;
and simulating through the node flow data, the air source point pressure data and the pipe network topological structure to obtain air flow information and air flow direction information corresponding to the preset gas pipe network.
Optionally, the constructing a directed acyclic graph of the preset gas pipe network based on the gas information and the pipe network topology structure, and determining the flow reduction value based on the directed acyclic graph and the leakage hole information includes:
constructing a directed acyclic graph of the pipe network topological structure based on the gas flow direction information and the pipe network topological structure, and setting the diameter of a leakage hole and the gas leakage position through the directed acyclic graph;
and determining a leakage flow based on the gas flow information and the leakage hole diameter, and determining a flow reduction value based on the directed acyclic graph, the leakage hole diameter, the gas leakage position and the leakage flow through a depth-first search algorithm.
Optionally, the determining, by a depth-first search algorithm, a flow reduction value based on the directed acyclic graph, the leakage hole diameter, the gas leakage location, and the leakage flow rate includes:
traversing the pipeline in the pipe network topological structure based on the directed acyclic graph, and judging whether the pipeline flow of the currently traversed pipeline is zero or not;
if yes, traversing the next pipeline, if not, setting a leakage condition for the pipe network topological structure based on the diameter of the leakage hole, the leakage position of the fuel gas and the leakage flow, calculating a flow reduction value based on the leakage condition by using a preset graph algorithm, and traversing the next pipeline until the pipe network topological structure is traversed.
Optionally, the updating the pipe network topology structure by using the leakage hole information to obtain an updated pipe network topology structure, and updating the monitoring data by using the flow reduction value to obtain updated data, including:
adding a plurality of target nodes for the pipe network topology structure based on the gas leakage position and the leakage hole diameter, and determining connection information of the plurality of target nodes so as to update the pipe network topology structure based on the connection information, thereby obtaining an updated pipe network topology structure;
and monitoring leakage flow information of the target nodes so as to update the monitoring data based on the leakage flow information and obtain updated data.
Optionally, the simulating through the updated pipe network topology structure and the updated data, and screening the obtained simulation data to obtain target simulated leakage data, includes:
simulating based on the updated pipe network topological structure and the updated data to obtain simulated flow data and simulated pressure data;
screening the simulated pressure data based on a preset pressure monitoring node through a preset pressure detector so as to screen target pressure data corresponding to the preset pressure monitoring node from the simulated pressure data;
And combining the target pressure data and the simulated flow data to obtain target simulated leakage data.
In a second aspect, the application discloses a gas pipe network leakage data generating device, including:
the gas information determining module is used for acquiring monitoring data of a preset gas pipe network and determining gas information of the preset gas pipe network based on the monitoring data and a pipe network topology structure of the preset gas pipe network;
the flow information determining module is used for constructing a directed acyclic graph of the preset gas pipe network based on the gas information and the pipe network topological structure, and determining a flow reduction value based on the directed acyclic graph and the leakage hole information;
the updating module is used for updating the pipe network topological structure by utilizing the leakage hole information to obtain an updated pipe network topological structure, and updating the monitoring data by utilizing the flow reduction value to obtain updated data; the updated pipe network topological structure is a topological structure for simulating leakage conditions;
and the data screening module is used for simulating the updated pipe network topological structure and the updated data and screening the obtained simulation data to obtain target simulation leakage data.
In a third aspect, the present application discloses an electronic device comprising:
a memory for storing a computer program;
and the processor is used for executing the computer program to realize the gas pipe network leakage data generation method.
In a fourth aspect, the present application discloses a computer readable storage medium for storing a computer program which, when executed by a processor, implements a gas pipe network leakage data generation method as described above.
In the method, monitoring data of a preset gas pipe network are firstly obtained, gas information of the preset gas pipe network is determined based on the monitoring data and a pipe network topological structure of the preset gas pipe network, then a directed acyclic graph of the preset gas pipe network is constructed based on the gas information and the pipe network topological structure, a flow reduction value is determined based on the directed acyclic graph and leakage hole information, the leakage hole information is utilized to update the pipe network topological structure so as to obtain an updated pipe network topological structure, the monitoring data is updated by utilizing the flow reduction value so as to obtain updated data, finally the updated pipe network topological structure and the updated data are simulated, and the obtained simulation data are screened so as to obtain target simulation leakage data. Therefore, according to the method, the gas information of the gas pipe network can be determined by using the acquired monitoring data of the gas pipe network and the pipe network topological structure, so that a directed acyclic graph is constructed based on the gas information and the pipe network topological structure, further, the flow reduction value is determined according to the directed acyclic graph and the leakage hole information, further, the pipe network topological structure can be updated according to the leakage hole information, the monitoring data is updated by using the flow reduction value, and finally, the updated pipe network topological structure and the updated data are simulated to obtain simulated leakage data. Therefore, the leakage condition of the gas pipe network can be simulated, and further the gas leakage data approaching to the real condition is generated, so that the problem that the development of a leakage identification related model is blocked due to the fact that the leakage data of the real pipe network is rare is solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for generating leakage data of a gas pipe network;
FIG. 2 is a schematic illustration of a leakage flow transfer disclosed herein;
FIG. 3 is a schematic diagram of a topology change disclosed herein;
FIG. 4 is a flowchart of a specific method for generating leakage data of a gas pipe network disclosed in the present application;
FIG. 5 is a flow chart of a flow reduction calculation disclosed herein;
FIG. 6 is a schematic structural diagram of a gas pipe network leakage data generating device disclosed in the present application;
fig. 7 is a block diagram of an electronic device disclosed in the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the prior art, the neural network model requires a huge amount of data to support the training of the model, and in order to guarantee the use value of the model, the data is generally required to cover various leakage states. In the actual working condition, the fact that the gas pipe network has fewer leakage accidents is considered, and enough leakage working condition data cannot be obtained to support training of the neural network model. The leakage data obtained by physical simulation is extremely simple in form and has great difference from a natural gas pipe network under a real working condition, so that the leakage data obtained by simulation is lack of real significance.
In order to overcome the technical problems, the application discloses a method, a device, equipment and a storage medium for generating leakage data of a gas pipe network, which can simulate the leakage condition of the gas pipe network so as to generate the gas leakage data approaching to the actual condition.
Referring to fig. 1, the embodiment of the invention discloses a method for generating leakage data of a gas pipe network, which comprises the following steps:
and S11, acquiring monitoring data of a preset gas pipe network, and determining gas information of the preset gas pipe network based on the monitoring data and a pipe network topology structure of the preset gas pipe network.
In this embodiment, acquiring monitoring data of a preset gas pipe network, and before determining gas information of the preset gas pipe network based on the monitoring data and a pipe network topology structure of the preset gas pipe network, further includes: and acquiring a node information table and a pipeline table of the preset gas pipeline network based on a preset information system, so as to determine the pipeline network topology structure of the preset gas pipeline network based on the node information in the node information table and the pipeline information in the pipeline table. Namely, for isothermal steady-state simulation calculation of a gas pipe network system at a certain moment, the topology structure of the gas pipe network, the flow rate of the boundary nodes of the pipe network at the moment and the pressure of the gas source of the pipe network need to be known. The topology structure of the gas pipe network can be obtained through a city natural gas pipe network geographic information system (Geographic Information System, GIS), a node information table (point table) and a pipeline table (line table) of the pipe network are stored in the system, and the point table stores ID (Identity document), position name, attribute, type, coordinate, height and other information of each node in the pipe network; the line table stores pipeline information for connecting each node, including attribute information such as ID, position name, pipe length, pipe diameter, wall thickness, start ID, end ID, coordinates and the like of the pipeline, so that the topology structure of the gas pipe network can be obtained based on the node information in the node information table and the pipeline information in the pipeline information table.
Further, for the node flow and the gas source point pressure of the gas pipe network, the two items of data can be monitored by presetting the acquisition device in the gas pipe network, and then the gas flow information and the gas flow direction information corresponding to the gas pipe network are obtained by simulating the node flow data, the gas source point pressure data and the pipe network topological structure.
And step S12, constructing a directed acyclic graph of the preset gas pipe network based on the gas information and the pipe network topological structure, and determining a flow reduction value based on the directed acyclic graph and the leakage hole information.
In this embodiment, a directed acyclic graph of a gas pipe network can be constructed according to gas flow information and gas flow direction information and by combining a pipe network topology structure, and a leakage hole diameter and a gas leakage position can be set based on the directed acyclic graph, so that various gas leakage conditions can be simulated through the leakage hole diameter, the gas leakage position and the leakage flow, and further, node flow reduction values corresponding to each leakage condition can be generated.
And step S13, updating the pipe network topological structure by utilizing the leakage hole information to obtain an updated pipe network topological structure, and updating the monitoring data by utilizing the flow reduction value to obtain updated data.
In this embodiment, the pipe network topology structure needs to be updated according to the leak hole diameter, the gas leakage position and the leakage flow set in the foregoing embodiment, and the node flow data in the monitoring data needs to be updated according to the generated flow reduction value, which specifically includes the following steps: updating the pipe network topological structure by utilizing the leakage hole information to obtain an updated pipe network topological structure, and updating the monitoring data by utilizing the flow reduction value to obtain updated data; the updated pipe network topological structure is a topological structure for simulating leakage conditions; comprising: adding a plurality of target nodes for the pipe network topology structure based on the gas leakage position and the leakage hole diameter, and determining connection information of the plurality of target nodes so as to update the pipe network topology structure based on the connection information, thereby obtaining an updated pipe network topology structure; and monitoring leakage flow information of the target nodes so as to update the monitoring data based on the leakage flow information and obtain updated data. That is, the original topology structure can be changed according to the gas leakage position set in the step S12, the changing mode can be set by the user according to the simulation requirement of the user, for example, a virtual pipe with the length of 0.1m extends outwards at the leakage position of the original topology pipe, the inner diameter of the virtual pipe is taken as the leakage aperture, the properties of other pipes are consistent with those of the leakage pipe, the tail end point of the pipe is regarded as a new user node, the flow of the user node is the leakage flow, and the leakage point is taken as a new middle point. On the basis, the end point connection information of the original pipeline is deleted, the connection information of each end point and the newly added intermediate point is increased, and the flow value of each pipeline is updated. As shown in fig. 2, taking fig. 2 as an example, after deleting the endpoint connection information "gas source point 1- > intermediate point 1" of the original pipeline, adding 3 groups of new endpoint connection information "gas source point 1- > new intermediate point", "new intermediate point- > intermediate point 1", "new intermediate point- > new user point", and updating the corresponding flow, where the updated pipe network topology structure of the corresponding part is shown in fig. 3.
And step S14, simulating through the updated pipe network topological structure and the updated data, and screening the obtained simulation data to obtain target simulation leakage data.
In this embodiment, the updated pipe network topology structure and the updated data may be used to simulate the node pressure and the node flow in the gas pipe network under each leakage condition, so as to screen the obtained simulated data and perform corresponding processing, and finally generate data that may be used for model training, which includes the following specific procedures: simulating based on the updated pipe network topological structure and the updated data to obtain simulated flow data and simulated pressure data; screening the simulated pressure data based on a preset pressure monitoring node through a preset pressure detector so as to screen target pressure data corresponding to the preset pressure monitoring node from the simulated pressure data; and combining the target pressure data and the simulated flow data to obtain target simulated leakage data. That is, after the updated pipe network topology structure and the updated data are obtained, isothermal steady state calculation can be performed for each group of data to obtain node pressure and node flow in the gas pipe network under each leakage condition, and in an actual gas pipe network, a pressure detector can be installed on part of nodes in the gas pipe network according to needs to detect the pressure change condition of the nodes. In this embodiment, according to the actual pressure measurement point positions, the corresponding node pressure data may be screened out, and the screened pressure data and the flow data of all the user nodes are combined to obtain the leakage data finally used for model training. Therefore, based on a real pipe network line system and a steady-state simulation calculation result, by manually setting a leakage pipeline and leakage flow, any amount of pipe network leakage data can be generated, and the problem of insufficient leakage data during model training is solved.
It can be seen that in this embodiment, monitoring data of a preset gas pipe network is first obtained, gas information of the preset gas pipe network is determined based on the monitoring data and a pipe network topology structure of the preset gas pipe network, then a directed acyclic graph of the preset gas pipe network is constructed based on the gas information and the pipe network topology structure, a flow reduction value is determined based on the directed acyclic graph and leakage hole information, the pipe network topology structure is updated by using the leakage hole information, an updated pipe network topology structure is obtained, the monitoring data is updated by using the flow reduction value, updated data is obtained, finally simulation is performed through the updated pipe network topology structure and the updated data, and the obtained simulation data is screened, so that target simulation leakage data is obtained. Therefore, according to the method, the gas information of the gas pipe network can be determined by using the acquired monitoring data of the gas pipe network and the pipe network topological structure, so that a directed acyclic graph is constructed based on the gas information and the pipe network topological structure, further, the flow reduction value is determined according to the directed acyclic graph and the leakage hole information, further, the pipe network topological structure can be updated according to the leakage hole information, the monitoring data is updated by using the flow reduction value, and finally, the updated pipe network topological structure and the updated data are simulated to obtain simulated leakage data. Therefore, the leakage condition of the gas pipe network can be simulated, and further the gas leakage data approaching to the real condition is generated, so that the problem that the development of a leakage identification related model is blocked due to the fact that the leakage data of the real pipe network is rare is solved.
Based on the foregoing embodiments, it can be seen that, when generating the leakage data of the gas pipe network, the leakage data under various leakage conditions needs to be simulated, so this embodiment describes in detail how to simulate various gas leakage, as shown in fig. 4, and the embodiment of the present invention discloses a method for generating the leakage data of the gas pipe network, which includes:
and S21, acquiring monitoring data of a preset gas pipe network, and determining gas information of the preset gas pipe network based on the monitoring data and a pipe network topology structure of the preset gas pipe network.
And S22, constructing a directed acyclic graph of the pipe network topological structure based on the gas flow direction information in the gas information and the pipe network topological structure, and setting the diameter of the leakage hole and the gas leakage position through the directed acyclic graph.
In this embodiment, the flow direction of the gas in the pipeline can be determined according to the positive and negative flow rates of each pipeline in the obtained gas information, and a directed acyclic graph of the whole pipeline network can be constructed by combining the topology structure of the pipeline network, wherein the node points in the directed acyclic graph represent the flow direction of the gas in the pipeline between the nodes in the corresponding actual pipeline network, and the edge value in the directed acyclic graph represents the absolute value of the flow rate of the corresponding pipeline. As shown in fig. 2, wherein the arrows between nodes in the graph represent the flow direction of the gas in the pipeline, and the values beside the arrows represent the flow rate of the pipeline. Assuming that a leak occurs in the pipeline between the gas source point 1 and the intermediate point 1, and the leak flow is b, calculating the flow reduction values of all the user nodes involved in the downstream by using a depth-first search algorithm according to the gas flow direction and the pipeline flow ratio of the pipeline between the nodes. In addition, two cases need to be considered when calculation is performed, wherein in the first case, for the case that only one pipeline is arranged at the downstream of the node (the middle point 1/the middle point 3), leakage flow is directly transmitted downwards; in the second case, in the case where there are a plurality of pipes downstream of the node (intermediate point 2), the leakage flow rate is divided according to the equal ratio of the flow rate values of the pipes downstream of the node to the ratio (10/5), and the leakage flow rates of the user node 1 and the user node 2, that is, the node flow rate reduction value, can be obtained finally.
Further, assuming that each leakage only occurs on a certain pipeline of the pipe network, in the set case, each pipeline can be circularly traversed through the constructed directed acyclic graph, and the leakage condition is set according to the structure of the pipeline and the gas flow information in the gas information, and the specific setting method comprises the following steps: the first step may set a gas leakage position, for example, the length of the pipe is L, and the distance from the gas leakage position to the source point of the pipe may be selected to be a random value from 0 to L, so as to set the gas leakage position in the gas pipe according to the random value; further, the leak hole diameter may be set, for example, the pipe inner diameter is d, and the leak hole diameter is selected to be a random value from 0 to d, so that the leak hole diameter in the gas pipe is set according to the random value.
And S23, determining leakage flow based on the gas flow information in the gas information and the leakage hole diameter, and determining a flow reduction value based on the directed acyclic graph, the leakage hole diameter, the gas leakage position and the leakage flow through a depth-first search algorithm.
In this embodiment, the leakage flow rate can be set, wherein the leakage area A can be determined according to the leakage hole diameter, and the orifice is used based on the gas source point pressure data determined in the previous embodiment The outflow equation may calculate the gas leakage rate q m The corresponding leakage flow can be obtained through conversion, and the calculation formula of the orifice outflow equation is as follows:
wherein q m Gas leakage rate, kg/s; alpha is a flow coefficient, and in the embodiment, 0.95 is taken; a is leakage hole area, m 2 The method comprises the steps of carrying out a first treatment on the surface of the P is the pressure of a leakage point in the pipe, pa; m is the gas molar density, kg/mol; z is a compression factor; r is a gas constant, 8.314J/(mol.K) is taken in this example; k is poisson's ratio, which is 1.3 in this example.
And, the flow reduction value can be determined by a depth-first search algorithm based on the directed acyclic graph, the leakage hole diameter, the gas leakage location, and the leakage flow, which specifically includes the following steps: traversing the pipeline in the pipe network topological structure based on the directed acyclic graph, and judging whether the pipeline flow of the currently traversed pipeline is zero or not; if yes, traversing the next pipeline, if not, setting a leakage condition for the pipe network topological structure based on the diameter of the leakage hole, the leakage position of the fuel gas and the leakage flow, calculating a flow reduction value based on the leakage condition by using a preset graph algorithm, and traversing the next pipeline until the pipe network topological structure is traversed. That is, after the equation is constructed, pipeline traversal can be performed based on the constructed directed acyclic graph, as shown in fig. 5, in order to prevent invalid leakage data from being generated and avoid useless calculation, and further cause resource waste, before the above steps are performed, whether the pipeline flow is 0 needs to be determined, and if so, the pipeline flow is directly ignored; if not, the diameter of the leakage hole, the leakage position of the fuel gas and the leakage flow rate are set as the leakage condition of the pipe network topological structure, then the flow rate reduction value of the user node in the currently traversed pipe is calculated by using a graph algorithm, then the next pipe is traversed until the traversing of the pipe network topological structure is completed, and as different leakage hole diameters, different leakage positions of the fuel gas and different leakage flow rates correspond to different leakage conditions, various leakage conditions can be simulated, and then multiple groups of flow rate reduction values are obtained, so that the reliability of leakage data for a neural network model is improved.
And step S24, updating the pipe network topological structure by utilizing the leakage hole information to obtain an updated pipe network topological structure, and updating the monitoring data by utilizing the flow reduction value to obtain updated data.
And S25, simulating through the updated pipe network topological structure and the updated data, and screening the obtained simulation data to obtain target simulation leakage data.
It should be noted that, for more detailed description of step S21, step S24 and step S25, reference may be made to the foregoing embodiments, and no further description is given here.
Therefore, by the method disclosed in the embodiment, a directed acyclic graph of the pipe network topological structure can be constructed based on the gas flow direction information in the gas information and the pipe network topological structure, the diameter of the leakage holes and the gas leakage position are set through the directed acyclic graph, the leakage flow rate is determined through the gas flow rate information and the diameter of the leakage holes, different leakage conditions are set through a depth-first search algorithm based on the directed acyclic graph, the diameter of the leakage holes, the gas leakage position and the leakage flow rate, the directed acyclic graph is traversed, and then the flow rate reduction values under different conditions are determined. Therefore, the leakage data used for training the neural network can be more approximate to the data under the real condition, and the reliability of the leakage data is further improved.
Referring to fig. 6, an embodiment of the present invention discloses a gas pipe network leakage data generating device, including:
the gas information determining module 11 is configured to obtain monitoring data of a preset gas pipe network, and determine gas information of the preset gas pipe network based on the monitoring data and a pipe network topology structure of the preset gas pipe network;
the flow information determining module 12 is configured to construct a directed acyclic graph of the preset gas pipe network based on the gas information and the pipe network topology structure, and determine a flow reduction value based on the directed acyclic graph and the leakage hole information;
the updating module 13 is configured to update the pipe network topology structure by using the leakage hole information to obtain an updated pipe network topology structure, and update the monitoring data by using the flow reduction value to obtain updated data; the updated pipe network topological structure is a topological structure for simulating leakage conditions;
the data screening module 14 is configured to simulate the updated pipe network topology structure and the updated data, and screen the obtained simulation data to obtain target simulated leakage data.
It can be seen that in this embodiment, monitoring data of a preset gas pipe network is first obtained, gas information of the preset gas pipe network is determined based on the monitoring data and a pipe network topology structure of the preset gas pipe network, then a directed acyclic graph of the preset gas pipe network is constructed based on the gas information and the pipe network topology structure, a flow reduction value is determined based on the directed acyclic graph and leakage hole information, the pipe network topology structure is updated by using the leakage hole information, an updated pipe network topology structure is obtained, the monitoring data is updated by using the flow reduction value, updated data is obtained, finally simulation is performed through the updated pipe network topology structure and the updated data, and the obtained simulation data is screened, so that target simulation leakage data is obtained. Therefore, according to the method, the gas information of the gas pipe network can be determined by using the acquired monitoring data of the gas pipe network and the pipe network topological structure, so that a directed acyclic graph is constructed based on the gas information and the pipe network topological structure, further, the flow reduction value is determined according to the directed acyclic graph and the leakage hole information, further, the pipe network topological structure can be updated according to the leakage hole information, the monitoring data is updated by using the flow reduction value, and finally, the updated pipe network topological structure and the updated data are simulated to obtain simulated leakage data. Therefore, the leakage condition of the gas pipe network can be simulated, and further the gas leakage data approaching to the real condition is generated, so that the problem that the development of a leakage identification related model is blocked due to the fact that the leakage data of the real pipe network is rare is solved.
In some embodiments, the gas pipe network leakage data generating device may further include:
the topology structure determining unit is used for acquiring a node information table and a pipeline table of the preset gas pipeline network based on a preset information system so as to determine the pipeline network topology structure of the preset gas pipeline network based on the node information in the node information table and the pipeline information in the pipeline table.
In some embodiments, the gas information determining module 11 may specifically include:
the data acquisition unit is used for acquiring node flow data of a preset gas pipe network and air source point pressure data based on the preset flow acquisition device;
and the gas information generation unit is used for simulating through the node flow data, the gas source point pressure data and the pipe network topological structure to obtain gas flow information and gas flow direction information corresponding to the preset gas pipe network.
In some embodiments, the flow information determining module 12 may specifically include:
the leakage information determining submodule is used for constructing a directed acyclic graph of the pipe network topological structure based on the gas flow direction information and the pipe network topological structure, and setting the diameter of a leakage hole and the leakage position of gas through the directed acyclic graph;
And the flow reduction value determining submodule is used for determining leakage flow based on the gas flow information and the leakage hole diameter and determining a flow reduction value based on the directed acyclic graph, the leakage hole diameter, the gas leakage position and the leakage flow through a depth-first search algorithm.
In some embodiments, the flow reduction value determining submodule may specifically include:
the pipeline flow judging unit is used for traversing the pipeline in the pipe network topological structure based on the directed acyclic graph and judging whether the pipeline flow of the currently traversed pipeline is zero or not;
and the topology structure traversing unit is used for traversing the next pipeline if yes, setting a leakage condition for the pipe network topology structure based on the diameter of the leakage hole, the gas leakage position and the leakage flow rate if not, calculating a flow reduction value based on the leakage condition by using a preset graph algorithm, and traversing the next pipeline until the pipe network topology structure is traversed.
In some embodiments, the updating module 13 may specifically include:
the topology structure updating unit is used for adding a plurality of target nodes for the pipe network topology structure based on the gas leakage position and the leakage hole diameter, determining the connection information of the plurality of target nodes, and updating the pipe network topology structure based on the connection information to obtain an updated pipe network topology structure;
And the data updating unit is used for monitoring the leakage flow information of the target nodes so as to update the monitoring data based on the leakage flow information and obtain updated data.
In some embodiments, the data filtering module 14 may specifically include:
the data simulation unit is used for simulating based on the updated pipe network topological structure and the updated data to obtain simulated flow data and simulated pressure data;
the data screening unit is used for screening the simulated pressure data based on a preset pressure monitoring node through a preset pressure detector so as to screen target pressure data corresponding to the preset pressure monitoring node from the simulated pressure data;
and the data combination unit is used for combining the target pressure data and the simulated flow data to obtain target simulated leakage data.
Further, the embodiment of the present application further discloses an electronic device, and fig. 7 is a block diagram of the electronic device 20 according to an exemplary embodiment, where the content of the figure is not to be considered as any limitation on the scope of use of the present application.
Fig. 7 is a schematic structural diagram of an electronic device 20 according to an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input output interface 25, and a communication bus 26. The memory 22 is configured to store a computer program, where the computer program is loaded and executed by the processor 21 to implement relevant steps in the gas pipe network leakage data generating method disclosed in any of the foregoing embodiments. In addition, the electronic device 20 in the present embodiment may be specifically an electronic computer.
In this embodiment, the power supply 23 is configured to provide an operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and an external device, and the communication protocol to be followed is any communication protocol applicable to the technical solution of the present application, which is not specifically limited herein; the input/output interface 25 is used for acquiring external input data or outputting external output data, and the specific interface type thereof may be selected according to the specific application requirement, which is not limited herein.
The memory 22 may be a carrier for storing resources, such as a read-only memory, a random access memory, a magnetic disk, or an optical disk, and the resources stored thereon may include an operating system 221, a computer program 222, and the like, and the storage may be temporary storage or permanent storage.
The operating system 221 is used for managing and controlling various hardware devices on the electronic device 20 and computer programs 222, which may be Windows Server, netware, unix, linux, etc. The computer program 222 may further include a computer program that can be used to perform other specific tasks in addition to the computer program that can be used to perform the gas pipe network leakage data generation method performed by the electronic device 20 disclosed in any of the foregoing embodiments.
Further, the application also discloses a computer readable storage medium for storing a computer program; the computer program, when executed by the processor, realizes the method for generating the leakage data of the gas pipe network. For specific steps of the method, reference may be made to the corresponding contents disclosed in the foregoing embodiments, and no further description is given here.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing has outlined the detailed description of the preferred embodiment of the present application, and the detailed description of the principles and embodiments of the present application has been provided herein by way of example only to facilitate the understanding of the method and core concepts of the present application; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. The gas pipe network leakage data generation method is characterized by comprising the following steps of:
acquiring monitoring data of a preset gas pipe network, and determining gas information of the preset gas pipe network based on the monitoring data and a pipe network topology structure of the preset gas pipe network;
constructing a directed acyclic graph of the preset gas pipe network based on the gas information and the pipe network topological structure, and determining a flow reduction value based on the directed acyclic graph and the leakage hole information;
updating the pipe network topological structure by utilizing the leakage hole information to obtain an updated pipe network topological structure, and updating the monitoring data by utilizing the flow reduction value to obtain updated data; the updated pipe network topological structure is a topological structure for simulating leakage conditions;
And simulating through the updated pipe network topological structure and the updated data, and screening the obtained simulation data to obtain target simulation leakage data.
2. The method for generating gas pipe network leakage data according to claim 1, wherein before obtaining monitoring data of a preset gas pipe network and determining gas information of the preset gas pipe network based on the monitoring data and a pipe network topology structure of the preset gas pipe network, further comprises:
and acquiring a node information table and a pipeline table of the preset gas pipeline network based on a preset information system, so as to determine the pipeline network topology structure of the preset gas pipeline network based on the node information in the node information table and the pipeline information in the pipeline table.
3. The method for generating leakage data of a gas pipe network according to claim 1, wherein the acquiring monitoring data of a preset gas pipe network and determining gas information of the preset gas pipe network based on the monitoring data and a pipe network topology structure of the preset gas pipe network comprises:
acquiring node flow data and air source point pressure data of a preset gas pipe network based on a preset flow acquisition device;
And simulating through the node flow data, the air source point pressure data and the pipe network topological structure to obtain air flow information and air flow direction information corresponding to the preset gas pipe network.
4. The method for generating leakage data of a gas pipe network according to claim 3, wherein the constructing a directed acyclic graph of the preset gas pipe network based on the gas information and the pipe network topology structure, and determining the flow reduction value based on the directed acyclic graph and the leakage hole information, comprises:
constructing a directed acyclic graph of the pipe network topological structure based on the gas flow direction information and the pipe network topological structure, and setting the diameter of a leakage hole and the gas leakage position through the directed acyclic graph;
and determining a leakage flow based on the gas flow information and the leakage hole diameter, and determining a flow reduction value based on the directed acyclic graph, the leakage hole diameter, the gas leakage position and the leakage flow through a depth-first search algorithm.
5. The method of generating gas pipe network leakage data according to claim 4, wherein said determining, by a depth-first search algorithm, a flow reduction value based on said directed acyclic graph, said leakage hole diameter, said gas leakage location, and said leakage flow rate comprises:
Traversing the pipeline in the pipe network topological structure based on the directed acyclic graph, and judging whether the pipeline flow of the currently traversed pipeline is zero or not;
if yes, traversing the next pipeline, if not, setting a leakage condition for the pipe network topological structure based on the diameter of the leakage hole, the leakage position of the fuel gas and the leakage flow, calculating a flow reduction value based on the leakage condition by using a preset graph algorithm, and traversing the next pipeline until the pipe network topological structure is traversed.
6. The method for generating leakage data of a gas pipe network according to claim 4, wherein updating the pipe network topology by using the leakage hole information to obtain an updated pipe network topology, and updating the monitoring data by using the flow reduction value to obtain updated data comprises:
adding a plurality of target nodes for the pipe network topology structure based on the gas leakage position and the leakage hole diameter, and determining connection information of the plurality of target nodes so as to update the pipe network topology structure based on the connection information, thereby obtaining an updated pipe network topology structure;
And monitoring leakage flow information of the target nodes so as to update the monitoring data based on the leakage flow information and obtain updated data.
7. The method for generating leakage data of a gas pipe network according to any one of claims 1 to 6, wherein the simulating the updated pipe network topology and the updated data and screening the obtained simulation data to obtain target simulated leakage data comprises:
simulating based on the updated pipe network topological structure and the updated data to obtain simulated flow data and simulated pressure data;
screening the simulated pressure data based on a preset pressure monitoring node through a preset pressure detector so as to screen target pressure data corresponding to the preset pressure monitoring node from the simulated pressure data;
and combining the target pressure data and the simulated flow data to obtain target simulated leakage data.
8. A gas pipe network leakage data generation device, comprising:
the gas information determining module is used for acquiring monitoring data of a preset gas pipe network and determining gas information of the preset gas pipe network based on the monitoring data and a pipe network topology structure of the preset gas pipe network;
The flow information determining module is used for constructing a directed acyclic graph of the preset gas pipe network based on the gas information and the pipe network topological structure, and determining a flow reduction value based on the directed acyclic graph and the leakage hole information;
the updating module is used for updating the pipe network topological structure by utilizing the leakage hole information to obtain an updated pipe network topological structure, and updating the monitoring data by utilizing the flow reduction value to obtain updated data; the updated pipe network topological structure is a topological structure for simulating leakage conditions;
and the data screening module is used for simulating the updated pipe network topological structure and the updated data and screening the obtained simulation data to obtain target simulation leakage data.
9. An electronic device, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the gas pipe network leakage data generation method according to any one of claims 1 to 7.
10. A computer-readable storage medium for storing a computer program which, when executed by a processor, implements the gas pipe network leakage data generation method according to any one of claims 1 to 7.
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