Gas pipeline safety monitoring and management method, device, equipment, medium and product

Abstract

The invention discloses a gas pipeline safety monitoring and management method and device, equipment, a medium and a product, and relates to the technical field of gas data management, and the method comprises the steps: obtaining the topological information of a gas pipeline, and constructing a digital twinborn model of the gas pipeline; the gas pipelines are numbered based on the coupling risk points and the risk degrees of the gas pipelines, and a numbered digital twinborn model is obtained; constructing a relation mapping table of the pipeline numbers, the monitoring terminals and the edge computing devices; acquiring monitoring data acquired by different monitoring terminals based on a preset acquisition period corresponding to each item of data; sending the monitoring data to the corresponding edge computing device according to the relation mapping table, and obtaining an analysis result sent by the corresponding edge computing device; and summarizing the analysis results sent by the edge computing devices to obtain the current state of the gas pipeline, and displaying the current state of the gas pipeline on the numbered digital twinborn model. The flexibility of data acquisition and the efficiency of data analysis are improved.

Description

Technical Field

[0001] The present application relates to the field of gas data management technology, and in particular to a gas pipeline safety monitoring and management method, device, equipment, medium and product. Background Art

[0002] The gas system is a complex, integrated system comprised of multiple processes, including gas production, storage, transmission, distribution, and application, as well as related equipment and management systems. Its purpose is to provide users with a safe, stable, and efficient supply of gas energy. The gas system is integrated with IoT technology to form the Gas Internet of Things (IoT). This system integrates sensors, data acquisition devices, and network communication technologies with the gas system to enable intelligent monitoring and management of every aspect of gas production, transmission, distribution, and use.

[0003] Currently, in monitoring data application scenarios, it is necessary to collect a large amount of data related to the pipeline network and analyze the collected data to obtain the pipeline pressure, instantaneous flow, daily and weekly cumulative gas consumption of the gas system, etc., so that the dispatcher can judge the operating status of the entire gas system. However, the collection cycle of each data in the above processing method is fixed, the data collection is not flexible, and the amount of data collected is large, which makes it impossible to quickly and effectively analyze the operating status of the gas system, and thus it is impossible to monitor and manage the gas system in a timely and effective manner. Therefore, there is an urgent need for a gas pipeline safety monitoring and management method that can improve the flexibility of data collection and analysis efficiency. Summary of the Invention

[0004] In view of the above-mentioned defects or deficiencies in the relevant technology, the purpose of this application is to provide a gas pipeline safety monitoring and management method, device, equipment, medium and product, which can improve the flexibility of data collection and the efficiency of data analysis.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In the first aspect, the present application provides a gas pipeline safety monitoring and management method, including: obtaining the topological information of the gas pipeline and constructing a digital twin model of the gas pipeline; numbering the gas pipelines of the digital twin model based on the coupling risk points and risk levels of the gas pipeline to obtain a numbered digital twin model; constructing a pipeline number-monitoring terminal-edge computing device relationship mapping table based on the numbered digital twin model and the distributed network structure; the monitoring terminal is a sensor arranged in a gas well for collecting various data of the gas pipeline; in the case of non-initial collection of various data of the gas pipeline, the monitoring data collected by different monitoring terminals are obtained based on the preset collection period corresponding to each data; the monitoring data is sent to the corresponding edge computing device according to the relationship mapping table, and the analysis results sent by the corresponding edge computing device are obtained; the analysis results sent by each edge computing device are summarized to obtain the current status of the gas pipeline, and the current status of the gas pipeline is displayed on the numbered digital twin model.

[0007] Optionally, the above-mentioned numbering of the gas pipelines of the digital twin model based on the coupling risk points and risk levels of the gas pipelines to obtain a numbered digital twin model includes: determining the coupling risk points of the gas pipeline based on the interaction force between the gas pipeline and the adjacent underground space; dividing the risk levels of the gas pipelines based on the aging degree of the gas pipelines at the coupling risk points, the internal pressure of the gas pipelines and the population density to obtain the risk level of the gas pipelines; the risk levels of the gas pipelines include Class I risk points, Class II risk points and Class III risk points; numbering the gas pipelines of the digital twin model based on the Class I risk points, the Class II risk points and the Class III risk points to obtain the numbered digital twin model.

[0008] Optionally, the above-mentioned construction of a pipeline number-monitoring terminal-edge computing device relationship mapping table based on the numbered digital twin model and the distributed network structure includes: constructing a gas number-monitoring terminal relationship mapping table based on the gas pipeline number of the numbered digital twin model and the installation position of each monitoring terminal; constructing a monitoring terminal-edge computing device relationship mapping table based on the amount of data collected by the monitoring terminal, the computing requirements, and the performance indicators of each edge computing device of the distributed network structure; establishing an association between the gas pipeline number and the edge computing device based on the gas number-monitoring terminal relationship mapping table and the monitoring terminal-edge computing device relationship mapping table, and constructing the pipeline number-monitoring terminal-edge computing device relationship mapping table.

[0009] Optionally, the above-mentioned sending the monitoring data to the corresponding edge computing device according to the relationship mapping table and obtaining the analysis results sent by the corresponding edge computing device include: determining the target edge computing device corresponding to the monitoring data collected by different monitoring terminals based on the relationship mapping table; encapsulating the monitoring data collected by different monitoring terminals, and adding verification codes and the address information of the target edge computing device to generate a data frame; sending the data frame to the target edge computing device through a wireless network; when the target edge computing device receives the data frame, receiving the data packet sent by the target edge computing device; unsealing the data packet and verifying the verification code of the unsealed data packet, and extracting the analysis results in the data packet if the verification passes; the analysis results include the number of the gas pipeline, pressure status, flow status, daily cumulative gas consumption, weekly cumulative gas consumption and / or prompt information on whether the status is normal.

[0010] Optionally, the above-mentioned analysis results sent by each edge computing device are summarized to obtain the current status of the gas pipeline, and the current status of the gas pipeline is displayed on the numbered digital twin model, including: based on the relationship mapping table, the received analysis results are classified and sorted according to the number of the gas pipeline to obtain the analysis results corresponding to different monitoring data under the same number; based on the analysis results corresponding to the different monitoring data under the same number, the current status of the corresponding gas pipeline is comprehensively evaluated to obtain an evaluation result; the evaluation result includes normal, warning, and fault; the evaluation result is displayed on the corresponding gas pipeline of the numbered digital twin model, so that the dispatcher can inspect or maintain the gas pipeline based on the evaluation result.

[0011] Optionally, the above method further includes: updating the evaluation results displayed by the numbered digital twin model at preset collection periods corresponding to each data item to obtain the current evaluation results of the gas pipeline of the numbered digital twin model.

[0012] In a second aspect, the present application provides a gas pipeline safety monitoring and management device, comprising:

[0013] The model building module is used to obtain the topological information of the gas pipeline and build a digital twin model of the gas pipeline;

[0014] A pipeline numbering module, configured to number the gas pipelines of the digital twin model based on the coupling risk points and risk levels of the gas pipelines to obtain a numbered digital twin model;

[0015] A relationship building module is used to build a relationship mapping table between pipeline number, monitoring terminal, and edge computing device based on the numbering digital twin model and distributed network structure; the monitoring terminal is a sensor installed in the gas well for collecting various data of the gas pipeline;

[0016] A data acquisition module is used to acquire monitoring data collected by different monitoring terminals based on a preset collection period corresponding to each data item when the gas pipeline data item is not collected for the first time;

[0017] A sending and obtaining module, configured to send the monitoring data to the corresponding edge computing device according to the relationship mapping table, and obtain the analysis result sent by the corresponding edge computing device;

[0018] The summary display module is used to summarize the analysis results sent by each edge computing device, obtain the current status of the gas pipeline, and display the current status of the gas pipeline on the numbered digital twin model.

[0019] In a third aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of any one of the above-mentioned gas pipeline safety monitoring and management methods.

[0020] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the above-mentioned gas pipeline safety monitoring and management methods.

[0021] In a fifth aspect, the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of any one of the above-mentioned gas pipeline safety monitoring and management methods.

[0022] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0023] The present application provides a gas pipeline safety monitoring and management method, device, equipment, medium and product, which constructs a digital twin model of the gas pipeline by acquiring the topological information of the gas pipeline; numbers the gas pipelines of the digital twin model by the coupling risk points and risk levels of the gas pipeline to obtain a numbered digital twin model; constructs a pipeline number-monitoring terminal-edge computing device relationship mapping table through the numbered digital twin model and the distributed network structure; in the case of non-initial collection of various gas pipeline data, obtains the monitoring data collected by different monitoring terminals through the preset collection period corresponding to each data; sends the monitoring data to the corresponding edge computing device through the relationship mapping table, and obtains the analysis results sent by the corresponding edge computing device; obtains the current status of the gas pipeline by summarizing the analysis results sent by each edge computing device, and displays the current status of the gas pipeline in the numbered digital twin model; on the one hand, by constructing the pipeline number-monitoring terminal-edge computing device relationship mapping The table can not only provide an association relationship for subsequent monitoring data collection, monitoring data transmission, and monitoring data processing, but also stipulate the flow of monitoring data from the monitoring terminal to the edge computing device, avoid confusion and errors in data transmission, and to a certain extent reduce data transmission delays and improve data analysis efficiency; and when a gas pipeline, monitoring terminal or edge computing device fails, it can be quickly located, which is convenient for staff to repair and ensure the stability of system operation; on the other hand, by obtaining monitoring data collected by different monitoring terminals through the preset collection period corresponding to each data, it can solve the defect of poor data collection flexibility caused by the use of the same collection period in the existing technology, and can set different sampling periods according to the application scenarios of each data, thereby improving the flexibility of data sampling and timely and effectively monitoring and managing the safety of gas pipelines; and through different preset collection periods, the total amount of data collection can be reduced, thereby reducing the amount of data processing, and further improving the data analysis efficiency to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 A flow chart of a gas pipeline safety monitoring and management method provided in one embodiment of the present application;

[0026] Figure 2 A schematic diagram of the monitoring data collection process provided in one embodiment of the present application;

[0027] Figure 3A schematic diagram of the functional modules of a gas pipeline safety monitoring and management device provided in one embodiment of the present application;

[0028] Figure 4 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0030] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0031] In an exemplary embodiment, Figure 1 As shown, a gas pipeline safety monitoring and management method is provided, which is executed by a central computing device or server in a distributed network structure. In an embodiment of the present application, the method includes the following steps S110 to S160. Among them:

[0032] Step S110: Acquire the topological information of the gas pipeline and construct a digital twin model of the gas pipeline.

[0033] In this example embodiment, topology information includes the connections between gas pipelines, nodes connected to the gas pipelines (e.g., valves, pressure regulating stations, pipeline branch points, etc.), the location, type, and function of the nodes, the direction of gas flow within the gas pipelines, the overall shape and distribution of the gas pipelines, and the density of pipelines in different areas. By building a digital twin model based on this gas pipeline topology information, it is possible to comprehensively map and simulate the actual gas pipelines in real time, facilitating subsequent safety monitoring and management of the gas pipelines through the digital twin model.

[0034] Step S120: numbering the gas pipelines in the digital twin model based on the coupling risk points and risk levels of the gas pipelines to obtain a numbered digital twin model.

[0035] In the example embodiment, there is interaction between the gas pipeline and the adjacent underground space, which will produce coupling risk points. The occurrence of these coupling risk points may be due to factors such as pipeline aging, external force damage, and the impact of underground space construction. During its development, small hidden dangers may gradually expand. For example, after a small crack appears in the pipeline, the crack may continue to extend under the influence of internal pressure and external environment. When it develops to a certain extent, it may cause disasters such as gas leaks and explosions. Therefore, when determining the coupling risk points, it is necessary to comprehensively collect various types of data on the gas pipeline and the adjacent underground space, covering the material, laying location, service life, pressure parameters of the gas pipeline, and the structure, use, construction activities and other information of the surrounding underground space.

[0036] Optionally, in an embodiment of the present application, the risk points of the gas pipeline can be preliminarily screened out through the topological information of the gas pipeline, operation history data (for example, pressure fluctuation records, leakage accident ledgers, etc.), geological survey reports, and environmental monitoring data (such as soil corrosivity reports). The screening can be carried out according to standards such as GB 50028-2020 "Urban Gas Design Code". For example, the pipeline area with a gas pipeline pressure ≥1.6MPa and crossing sections (such as crossing rivers and railways) is determined as a risk point; cast iron pipelines with a service life of more than 20 years or gas pipelines with backward early anti-corrosion technology are determined as risk points; gas pipelines located in areas prone to geological disasters (such as areas with an earthquake intensity greater than 5 degrees) are determined as risk points; then, the coupling risk points of the gas pipeline are determined by analyzing the forces acting on the gas pipeline by factors such as the type of adjacent underground pipeline network, the size of the adjacent underground pipeline network, the surrounding population density, and the type of adjacent buildings.

[0037] Furthermore, when assessing the risk level of coupled risk points in gas pipelines, the assessment can be conducted using factors such as monitoring data collected by sensors (such as pressure and temperature), the service life of the gas pipeline, the buried depth of the gas pipeline, the spacing between external construction operations, and the pressure of the enclosure. For example, a gas pipeline with a crack length greater than 50mm or a depth greater than 1 / 3 of the wall thickness is identified as a Class I risk point; a gas pipeline with a pressure exceeding 80% of the design value (such as an annual overpressure frequency greater than 10 times) or a temperature greater than 60°C is identified as a Class II risk point; and a gas pipeline with a risk point that does not meet the standards of the "Urban Engineering Pipeline Comprehensive Planning Code GB50289-2016" and its adjacent pipelines is identified as a Class III risk point.

[0038] Alternatively, in other embodiments, the risk level of the gas pipeline can be assessed based on the damage and impact on surrounding personnel, protection targets, hazardous sources, etc. after an explosion accident in an adjacent underground space occurs, and the coupling risk points can be divided into four categories: major risk points, large risk points, general risk points, and low risk points, and general and above coupling risk points can be monitored.

[0039] Optionally, the above-mentioned step S120 may include: determining the coupling risk points of the gas pipeline based on the interaction force between the gas pipeline and the adjacent underground space; dividing the risk levels of the coupling risk points based on the aging degree of the gas pipeline at the coupling risk points, the internal pressure of the gas pipeline and the population density to obtain the risk level of the gas pipeline; the risk level of the gas pipeline includes Class I risk points, Class II risk points and Class III risk points; numbering the gas pipelines of the digital twin model based on Class I risk points, Class II risk points and Class III risk points to obtain a numbered digital twin model.

[0040] It should be noted that, in the embodiment of the present application, the risk level of a Class I risk point is higher than that of a Class II risk point and higher than that of a Class III risk point. The numbering order of the gas pipelines is arranged in descending order according to the risk level. For example, for a Class I risk point, the gas pipelines are numbered A-01 and A-02; for a Class II risk point, the gas pipelines are numbered B-01 and B-02; and for a Class III risk point, the gas pipelines are numbered C-01 and C-02. In the numbered digital twin model, each pipeline has a unique number, which can be associated with the actual physical characteristics of the gas pipeline (such as material, diameter, length, etc.), the environmental information (location, burial depth, surrounding soil type, etc.), and the risk status (risk point location, risk level, etc.). The numbering can quickly locate and understand the detailed information of the gas pipeline, providing data support for subsequent management and monitoring. In other embodiments, by determining the coupled risk points and the risk level of the coupled risk points, data support can be provided for the collection cycle of each coupled risk point. For example, the pressure data collection cycle of a gas pipeline with a high risk level is shorter than the pressure data collection cycle of a gas pipeline with a low risk level.

[0041] Step S130: Based on the numbered digital twin model and the distributed network structure, a relationship mapping table of pipeline number-monitoring terminal-edge computing device is constructed.

[0042] In this example embodiment, the monitoring terminal is a sensor installed within a gas well to collect various data from the gas pipeline. The monitoring terminal is responsible for collecting real-time data from the gas pipeline, such as pressure, flow, and temperature. Edge computing devices perform data processing and analysis close to the data source or user, reducing data transmission volume and latency and improving system response speed. This architecture enables more flexible and reliable system operation, adapting to complex gas pipeline distribution environments.

[0043] By establishing a relationship mapping table between pipeline numbers, monitoring terminals, and edge computing devices, the corresponding relationships between pipeline numbers, monitoring terminals, and edge computing devices can be clearly defined. The "pipeline number" serves as an index that links to the "monitoring terminal" responsible for monitoring the gas pipeline, including its location, the type of data collected, and the frequency. Furthermore, the "monitoring terminal" is associated with the corresponding "edge computing device," indicating which edge computing device will process the collected monitoring data. Furthermore, through this relationship mapping table, when an anomaly occurs in a section of gas pipeline, the corresponding monitoring terminal can be quickly found based on the pipeline number, real-time data can be obtained, and then rapidly analyzed and processed by edge computing devices, allowing timely response measures to achieve accurate monitoring and efficient management of the gas pipeline.

[0044] Optionally, the above-mentioned step S130 may include: constructing a relationship mapping table between gas number and monitoring terminal based on the number of the gas pipeline of the numbered digital twin model and the installation position of each monitoring terminal; constructing a relationship mapping table between monitoring terminal and edge computing device based on the amount of data collected by the monitoring terminal and the computing requirements and performance indicators of each edge computing device of the distributed network structure; establishing an association between the gas pipeline number and the edge computing device based on the relationship mapping table of gas number-monitoring terminal and the relationship mapping table of monitoring terminal-edge computing device, and constructing a relationship mapping table between pipeline number-monitoring terminal-edge computing device.

[0045] It should be noted that the performance indicators of edge computing devices include data processing capabilities, memory capacity, and operating speed; optionally, edge computing devices with higher performance indicators can be associated with monitoring terminals that collect large amounts of data or have high timeliness requirements.

[0046] Step S140 , when it is not the first time to collect various data of the gas pipeline, the monitoring data collected by different monitoring terminals are obtained based on the preset collection period corresponding to each data.

[0047] In this example embodiment, the preset collection period is the frequency at which the edge computing device acquires monitoring data collected by the monitoring terminal. Different data types correspond to different preset collection periods. For example, for gas pipeline pressure and flow that require real-time updates, the preset collection period can be set to 1 second. For daily or weekly cumulative monitoring data, the preset collection period can be set to 1 hour or 24 hours.

[0048] It should be noted that when setting the preset collection cycle, differentiated collection frequencies can be set according to gas pipelines of different risk levels. For example: for Class I risk points, maintain real-time collection at 1 second to ensure the timeliness of monitoring data; for Class II risk points, maintain 10-second interval collection to balance real-time performance and computing load; for Class III risk points, maintain a minute-level collection cycle to meet basic monitoring needs.

[0049] For example, reference Figure 2 As shown, obtaining monitoring data collected by different monitoring terminals may include:

[0050] Execute step S1 to determine whether it is the first time to collect data; if so, execute step S2 to collect data from all measuring points; if not, execute step S3 to collect data from corresponding measuring points according to different collection cycles, that is, for example, collect data from measuring points with a collection cycle of 1 second; collect data from measuring points with a collection cycle of 10 seconds; and collect data from measuring points with a collection cycle of 60 seconds; after the collection is completed, execute step S4 to determine whether all measuring points have reached the corresponding preset collection cycle. If so, send a collection request to the measuring points that have reached the preset collection cycle, and execute step S3; if not, continue waiting.

[0051] It should be noted that Figure 2 The aforementioned measuring point may be the coupling risk point in the aforementioned embodiment, or may be a connection node of the gas pipeline.

[0052] Step S150: Send monitoring data to the corresponding edge computing device according to the relationship mapping table, and obtain the analysis results sent by the corresponding edge computing device.

[0053] In an exemplary embodiment, the analysis result includes the gas pipeline number, pressure status, flow status, daily cumulative gas usage, weekly cumulative gas usage, and / or prompt information indicating whether the status is normal.

[0054] Optionally, the above step S150 may include: determining the target edge computing device corresponding to the monitoring data collected by different monitoring terminals based on the relationship mapping table; encapsulating the monitoring data collected by different monitoring terminals, and adding verification codes and address information of the target edge computing device to generate data frames; sending data frames to the target edge computing device through a wireless network; when the target edge computing device receives the data frame, receiving the data packet sent by the target edge computing device; unsealing the data packet and verifying the verification code of the unsealed data packet, and extracting the analysis results in the data packet if the verification passes.

[0055] It should be noted that the check code in the embodiment of the present application is a checksum, that is, all bytes in the data frame or data packet are added together to obtain a sum, and then this sum is used as the check code. After the target edge computing device receives the data frame, the target edge computing device recalculates the checksum of the data frame and compares it with the checksum in the data frame. If the two are not equal, it means that an error occurred in the data frame during transmission and the check fails. The target edge computing device does not process the data frame and sends an alarm message of data transmission error to the central computing device or server of the distributed network structure. The central computing device or server sends a deletion message of the corresponding data frame to the target edge computing device, so that the target edge computing device deletes the data frame that fails the check; or the target edge computing device sends an alarm message of data transmission error to the central computing device or server and deletes the tampered data frame. Similarly, after the central computing device or server receives the data packet sent by the target edge computing, it recalculates the checksum of the data packet and compares it with the checksum in the data packet. If the two are not equal, it means that an error occurred in the data packet during transmission and the check fails. The central computing device or server sends a request message to the target edge computing device to retrieve the data packet.

[0056] Step S160: Summarize the analysis results sent by each edge computing device to obtain the current status of the gas pipeline, and display the current status of the gas pipeline on the numbered digital twin model.

[0057] In an exemplary embodiment, the evaluation results include normal, warning, and failure.

[0058] Optionally, the above-mentioned step S160 may include: based on the relationship mapping table, classifying and arranging the received analysis results according to the number of the gas pipeline to obtain the analysis results corresponding to different monitoring data under the same number; based on the analysis results corresponding to different monitoring data under the same number, comprehensively evaluating the current status of the corresponding gas pipeline to obtain an evaluation result; displaying the evaluation result on the corresponding gas pipeline of the numbered digital twin model, so that the dispatcher can inspect or maintain the gas pipeline based on the evaluation result.

[0059] It should be noted that, for example, when the monitoring data is pressure data and flow data, when the pressure and flow are both within the normal range, the evaluation result is that the gas pipeline status is normal; when the pressure or flow exceeds the normal range by a certain threshold but does not reach a dangerous level, the evaluation result is that the gas pipeline status is a warning; when the pressure or flow seriously exceeds the range and may cause a safety accident, the evaluation result is that the gas pipeline status is a fault.

[0060] In addition, to differentiate between differentiating indicators, gas pipelines in normal conditions can be displayed with green lines, those in warning conditions with flashing yellow lines, and those in fault conditions with bold red lines. Furthermore, tooltips are added to numbered digital twin models. For example, hovering the mouse over a gas pipeline displays the pipeline number and related details. These details can include the current pressure and flow status of the gas pipeline, as well as daily and weekly cumulative gas usage.

[0061] Implement the above steps S110 to S160, and construct a digital twin model of the gas pipeline by acquiring the topological information of the gas pipeline; number the gas pipelines in the digital twin model according to the coupling risk points and risk levels of the gas pipeline to obtain a numbered digital twin model; construct a relationship mapping table between pipeline number, monitoring terminal and edge computing device through the numbered digital twin model and the distributed network structure; in the case of non-initial collection of various data of the gas pipeline, obtain the monitoring data collected by different monitoring terminals through the preset collection period corresponding to each data; send the monitoring data to the corresponding edge computing device through the relationship mapping table, and obtain the analysis results sent by the corresponding edge computing device; obtain the current status of the gas pipeline by summarizing the analysis results sent by each edge computing device, and display the current status of the gas pipeline in the numbered digital twin model; on the one hand, by constructing the relationship mapping table between pipeline number, monitoring terminal and edge computing device, it can not only provide It provides an association between continuous monitoring data collection, monitoring data transmission, and monitoring data processing, stipulates the flow of monitoring data from the monitoring terminal to the edge computing device, avoids confusion and errors in data transmission, and can reduce data transmission delays to a certain extent and improve data analysis efficiency; and when a gas pipeline, monitoring terminal or edge computing device fails, it can be quickly located, which is convenient for staff to repair and ensure the stability of system operation; on the other hand, by obtaining monitoring data collected by different monitoring terminals through the preset collection period corresponding to each data, it can solve the defect of poor data collection flexibility caused by the use of the same collection period in the existing technology, and can set different sampling periods according to the application scenarios of each data, thereby improving the flexibility of data sampling and timely and effectively monitoring and managing the safety of gas pipelines; and through different preset collection periods, the total amount of data collection can be reduced, thereby reducing the amount of data processing, and further improving the data analysis efficiency to a certain extent.

[0062] In another exemplary embodiment of the present application, in order to timely and effectively monitor and manage the safety of the gas pipeline, the method may also include: updating the evaluation results displayed by the numbered digital twin model at preset collection periods corresponding to each data item to obtain the current evaluation results of the gas pipeline of the numbered digital twin model.

[0063] It should be noted that by updating the evaluation results displayed by the numbered digital twin model according to the preset collection cycle corresponding to each data, it is convenient for dispatchers to understand the current status of the gas pipeline in a timely and effective manner, thereby facilitating the safety monitoring and management of the gas pipeline.

[0064] Based on the same inventive concept, embodiments of the present application also provide a gas pipeline safety monitoring and management device for implementing the aforementioned gas pipeline safety monitoring and management method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more gas pipeline safety monitoring and management device embodiments provided below can be found in the aforementioned limitations of the gas pipeline safety monitoring and management method and will not be further elaborated here.

[0065] In an exemplary embodiment, Figure 3 As shown, a gas pipeline safety monitoring and management device is provided, which includes: a model building module 310, a pipeline numbering module 320, a relationship building module 330, a data acquisition module 340, a sending acquisition module 350 and a summary display module 360; specifically,

[0066] The model building module 310 is used to obtain the topological information of the gas pipeline and build a digital twin model of the gas pipeline;

[0067] The pipeline numbering module 320 is used to number the gas pipelines of the digital twin model based on the coupling risk points and risk levels of the gas pipelines to obtain a numbered digital twin model;

[0068] The relationship building module 330 is used to build a relationship mapping table between pipeline number, monitoring terminal, and edge computing device based on the numbered digital twin model and distributed network structure; the monitoring terminal is a sensor installed in the gas well for collecting various data of the gas pipeline;

[0069] The data acquisition module 340 is used to acquire monitoring data collected by different monitoring terminals based on the preset collection period corresponding to each data when it is not the first time to collect various data of the gas pipeline;

[0070] The sending and obtaining module 350 is used to send monitoring data to the corresponding edge computing device according to the relationship mapping table, and obtain the analysis results sent by the corresponding edge computing device;

[0071] The summary display module 360 is used to summarize the analysis results sent by each edge computing device, obtain the current status of the gas pipeline, and display the current status of the gas pipeline on the numbered digital twin model.

[0072] As an optional implementation, the above-mentioned pipeline numbering module 320 is specifically used to determine the coupling risk points of the gas pipeline based on the interaction force between the gas pipeline and the adjacent underground space; divide the risk level of the gas pipeline based on the aging degree of the gas pipeline at the coupling risk point, the internal pressure of the gas pipeline and the population density to obtain the risk level of the gas pipeline; the risk level of the gas pipeline includes Class I risk points, Class II risk points and Class III risk points; the gas pipelines of the digital twin model are numbered based on Class I risk points, Class II risk points and Class III risk points to obtain a numbered digital twin model.

[0073] As an optional implementation, the above-mentioned relationship construction module 330 is specifically used to construct a relationship mapping table between gas number and monitoring terminal based on the number of the gas pipeline in the numbered digital twin model and the installation location of each monitoring terminal; construct a relationship mapping table between monitoring terminal and edge computing device based on the amount of data collected by the monitoring terminal, the computing requirements and the performance indicators of each edge computing device in the distributed network structure; establish an association between the gas pipeline number and the edge computing device based on the relationship mapping table between the gas number and the monitoring terminal and the relationship mapping table between the edge computing device, and construct a relationship mapping table between the pipeline number, the monitoring terminal and the edge computing device.

[0074] As an optional implementation, the above-mentioned sending and obtaining module 350 is specifically used to determine the target edge computing device corresponding to the monitoring data collected by different monitoring terminals based on the relationship mapping table; encapsulate the monitoring data collected by different monitoring terminals, and add the verification code and the address information of the target edge computing device to generate a data frame; send the data frame to the target edge computing device through the wireless network; when the target edge computing device receives the data frame, receive the data packet sent by the target edge computing device; unseal the data packet and verify the verification code of the unsealed data packet, and when the verification code is passed, extract the analysis results in the data packet; the analysis results include the number of the gas pipeline, pressure status, flow status, daily cumulative gas consumption, weekly cumulative gas consumption and / or prompt information on whether the status is normal.

[0075] As an optional implementation, the above-mentioned summary display module 360 is specifically used to classify and organize the received analysis results according to the gas pipeline number based on the relationship mapping table, and obtain the analysis results corresponding to different monitoring data under the same number; based on the analysis results corresponding to different monitoring data under the same number, a comprehensive evaluation is performed on the current status of the corresponding gas pipeline to obtain an evaluation result; the evaluation results include normal, warning, and fault; the evaluation results are displayed on the corresponding gas pipeline of the numbered digital twin model, so that the dispatcher can inspect or maintain the gas pipeline based on the evaluation results.

[0076] As an optional implementation, the above-mentioned gas pipeline safety monitoring and management device 300 also includes an update module, which is used to update the evaluation results displayed by the numbered digital twin model at intervals of a preset collection period corresponding to each data, and obtain the current evaluation results of the gas pipeline of the numbered digital twin model.

[0077] Among them, the implementation of this embodiment, on the one hand, by constructing a relationship mapping table of pipeline number-monitoring terminal-edge computing device, it can not only provide an association relationship for subsequent monitoring data collection, monitoring data transmission, and monitoring data processing, but also stipulate the flow of monitoring data from the monitoring terminal to the edge computing device, avoid confusion and errors in data transmission, and to a certain extent reduce data transmission delays and improve data analysis efficiency; and when a gas pipeline, monitoring terminal or edge computing device fails, it can be quickly located, which is convenient for staff to repair and ensure the stability of system operation; on the other hand, by obtaining monitoring data collected by different monitoring terminals according to the preset collection period corresponding to each data, it can solve the defect of poor data collection flexibility caused by the use of the same collection period in the existing technology, and can set different sampling periods according to the application scenarios of each data, thereby improving the flexibility of data sampling and timely and effectively performing safety monitoring and management of gas pipelines; and through different preset collection periods, the total amount of data collection can be reduced, thereby reducing the amount of data processing, and to a certain extent further improving the data analysis efficiency.

[0078] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 4 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store data for gas pipeline safety monitoring and management. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a gas pipeline safety monitoring and management method is implemented.

[0079] Those skilled in the art will understand that Figure 4The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0080] In an exemplary embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0081] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0082] In an exemplary embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0083] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0084] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0085] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.

[0086] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0087] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A gas pipeline safety monitoring and management method, characterized in that: The gas pipeline safety monitoring and management method includes: Obtain the topological information of the gas pipeline and build a digital twin model of the gas pipeline; Numbering the gas pipelines of the digital twin model based on the coupling risk points and risk levels of the gas pipelines to obtain a numbered digital twin model; Based on the numbering digital twin model and distributed network structure, a relationship mapping table between pipeline number, monitoring terminal, and edge computing device is constructed; the monitoring terminal is a sensor installed in the gas well for collecting various data of the gas pipeline; In the case of not collecting the gas pipeline data for the first time, obtaining the monitoring data collected by different monitoring terminals based on the preset collection period corresponding to each data; Sending the monitoring data to the corresponding edge computing device according to the relationship mapping table, and obtaining the analysis results sent by the corresponding edge computing device; The analysis results sent by each of the edge computing devices are summarized to obtain the current status of the gas pipeline, and the current status of the gas pipeline is displayed on the numbered digital twin model.

2. The gas pipeline safety monitoring and management method according to claim 1, characterized in that: The gas pipelines of the digital twin model are numbered based on the coupling risk points and risk levels of the gas pipelines to obtain a numbered digital twin model, including: Determine the coupling risk points of the gas pipeline based on the interaction force between the gas pipeline and the adjacent underground space; The risk level of the coupling risk point is divided based on the aging degree of the gas pipeline at the coupling risk point, the internal pressure of the gas pipeline, and the population density to obtain the risk level of the gas pipeline; the risk level of the gas pipeline includes Class I risk point, Class II risk point, and Class III risk point; The gas pipelines of the digital twin model are numbered based on the first-class risk points, the second-class risk points, and the third-class risk points to obtain the numbered digital twin model.

3. The gas pipeline safety monitoring and management method according to claim 2, characterized in that: The pipeline number-monitoring terminal-edge computing device relationship mapping table is constructed based on the numbered digital twin model and the distributed network structure, including: Based on the gas pipeline number of the numbered digital twin model and the installation location of each monitoring terminal, a gas number-monitoring terminal relationship mapping table is constructed; Based on the amount of data collected by the monitoring terminal and the computing requirements and the performance indicators of each edge computing device in the distributed network structure, a relationship mapping table between the monitoring terminal and the edge computing device is constructed; Based on the gas number-monitoring terminal relationship mapping table and the monitoring terminal-edge computing device relationship mapping table, an association between the gas pipeline number and the edge computing device is established, and the pipeline number-monitoring terminal-edge computing device relationship mapping table is constructed.

4. The gas pipeline safety monitoring and management method according to claim 1, characterized in that: The sending of the monitoring data to the corresponding edge computing device according to the relationship mapping table and obtaining the analysis result sent by the corresponding edge computing device includes: Determine, based on the relationship mapping table, the target edge computing device corresponding to the monitoring data collected by different monitoring terminals; Encapsulating the monitoring data collected by different monitoring terminals, and adding a check code and the address information of the target edge computing device to generate a data frame; Sending the data frame to the target edge computing device via a wireless network; When the target edge computing device receives the data frame, receiving a data packet sent by the target edge computing device; The data packet is unsealed and the check code of the unsealed data packet is verified. If the verification passes, the analysis result in the data packet is extracted; the analysis result includes the number of the gas pipeline, the pressure status, the flow status, the daily cumulative gas consumption, the weekly cumulative gas consumption and / or prompt information on whether the status is normal.

5. The gas pipeline safety monitoring and management method according to claim 1, characterized in that: The analysis results sent by each edge computing device are aggregated to obtain the current status of the gas pipeline, and the current status of the gas pipeline is displayed on the numbered digital twin model, including: Based on the relationship mapping table, the received analysis results are classified and sorted according to the gas pipeline number to obtain analysis results corresponding to different monitoring data under the same number; Based on the analysis results corresponding to the different monitoring data under the same number, a comprehensive evaluation is performed on the current state of the corresponding gas pipeline to obtain an evaluation result; the evaluation result includes normal, warning, and fault; The evaluation result is displayed on the corresponding gas pipeline of the numbered digital twin model, so that the dispatcher can inspect or maintain the gas pipeline based on the evaluation result.

6. The gas pipeline safety monitoring and management method according to claim 1, characterized in that: The method further comprises: The evaluation results displayed by the numbered digital twin model are updated at intervals of preset collection periods corresponding to various data to obtain the current evaluation results of the gas pipeline of the numbered digital twin model.

7. A gas pipeline safety monitoring and management device, characterized in that: The gas pipeline safety monitoring and management device includes: The model building module is used to obtain the topological information of the gas pipeline and build a digital twin model of the gas pipeline; A pipeline numbering module, configured to number the gas pipelines of the digital twin model based on the coupling risk points and risk levels of the gas pipelines to obtain a numbered digital twin model; A relationship building module is used to build a relationship mapping table between pipeline number, monitoring terminal, and edge computing device based on the numbering digital twin model and distributed network structure; the monitoring terminal is a sensor installed in the gas well for collecting various data of the gas pipeline; A data acquisition module is used to acquire monitoring data collected by different monitoring terminals based on a preset collection period corresponding to each data item when the gas pipeline data item is not collected for the first time; A sending and obtaining module, configured to send the monitoring data to the corresponding edge computing device according to the relationship mapping table, and obtain the analysis result sent by the corresponding edge computing device; The summary display module is used to summarize the analysis results sent by each edge computing device, obtain the current status of the gas pipeline, and display the current status of the gas pipeline on the numbered digital twin model.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the gas pipeline safety monitoring and management method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the gas pipeline safety monitoring and management method described in any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the gas pipeline safety monitoring and management method described in any one of claims 1 to 6 are implemented.

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