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

Abstract

The application discloses a kind of gas pipeline safety monitoring and management method, device, equipment, medium and product, it is related to gas data management technical field, the method includes obtaining the topology information of gas pipeline constructs the digital twin model of gas pipeline;Based on the coupling risk point and risk degree of gas pipeline, numbering is carried out to gas pipeline, and numbered digital twin model is obtained;The relationship mapping table of pipeline number-monitoring terminal-edge computing device is constructed;Based on the preset acquisition period corresponding to each data, the monitoring data collected by different monitoring terminals is obtained;According to the relationship mapping table, the monitoring data is sent to the corresponding edge computing device, and the analysis result sent by the corresponding edge computing device is obtained;The analysis results sent by each edge computing device are summarized, the current state of gas pipeline is obtained, and the current state of gas pipeline is displayed in numbered digital twin model.The application improves the flexibility of data acquisition and data analysis efficiency.

Description

TECHNICAL FIELD

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

[0002] A gas system is a complex integrated system composed of multiple links such as gas production, storage, transmission and application, as well as related equipment and management systems, aiming to safely, stably and efficiently supply gas energy to users. The gas system is combined with the Internet of Things technology to form a gas Internet of Things. The gas Internet of Things is deeply integrated with the gas system through sensors, data acquisition instruments, network communication technology, etc., to realize intelligent monitoring and management of each link of gas production, transmission and use.

[0003] At present, in the monitoring data application scene, a large amount of data related to the pipe network needs to be collected, and a large amount of collected data needs to be analyzed to obtain the pipe network pressure, instantaneous flow, daily cumulative gas consumption and weekly cumulative gas consumption of the gas system, so as to enable the dispatcher to judge the running state of the entire gas system. However, in the above processing mode, the collection period of each item of data is fixed, the data collection is not flexible, and the amount of collected data is large, which cannot quickly and effectively analyze the running state of the gas system, and thus cannot timely and effectively monitor and manage the gas system. 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

[0004] In view of the above defects or deficiencies in the related art, the purpose of the present 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-mentioned purpose, the present application provides the following solutions:

[0006] In a first aspect, the application provides a gas pipeline safety monitoring and management method, comprising: acquiring topological information of a gas pipeline, and constructing a digital twin model of the gas pipeline; numbering the gas pipeline of the digital twin model based on coupling risk points and risk levels of the gas pipeline, to obtain a numbered digital twin model; based on the numbered digital twin model and a distributed network structure, constructing a relationship mapping table of pipeline number-monitoring terminal-edge computing device; 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, monitoring data collected by different monitoring terminals is acquired based on the preset collection period corresponding to each item of data; the monitoring data is sent to the corresponding edge computing device according to the relationship mapping table, and the analysis result sent by the corresponding edge computing device is acquired; the analysis results sent by each edge computing device are summarized to obtain the current state of the gas pipeline, and the current state of the gas pipeline is displayed on the numbered digital twin model.

[0007] Optionally, the above-mentioned numbering of the digital twin model of the gas pipeline based on the coupling risk points and the risk levels of the gas pipeline comprises: 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 level of the gas pipeline 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 a first risk point, a second risk point and a third risk point; the digital twin model of the gas pipeline is numbered based on the first risk point, the second risk point and the third risk point, to obtain the numbered digital twin model.

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

[0009] Optionally, the sending 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 comprises: determining, based on the relationship mapping table, a target edge computing device corresponding to the monitoring data collected by different monitoring terminals; packaging the monitoring data collected by different monitoring terminals, adding a check code and 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; in a case where the target edge computing device receives the data frame, receiving a data packet sent by the target edge computing device; unpackaging the data packet and checking the check code of the unpackaged data packet, and in a case where the check is passed, extracting the analysis result in the data packet; the analysis result comprises a number of the gas pipeline, a pressure state, a flow state, a daily cumulative amount of gas consumption, a weekly cumulative amount of gas consumption and / or prompt information of whether the state is normal.

[0010] Optionally, the method further comprises: updating the evaluation result displayed on the numbered digital twin model at a preset collection period corresponding to each item of data to obtain a current evaluation result of the gas pipeline of the numbered digital twin model.

[0011] Optionally, the method further comprises: updating the evaluation result displayed on the numbered digital twin model at a preset collection period corresponding to each item of data to obtain a current evaluation result 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] a model construction module, configured to obtain topological information of a gas pipeline, and construct a digital twin model of the gas pipeline;

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

[0015] A relationship building module is configured to build a relationship mapping table of the pipeline number-monitoring terminal-edge computing device based on the numbered digital twin model and the distributed network structure. The monitoring terminal is a sensor arranged in the gas well for collecting various data of the gas pipeline.

[0016] A data acquisition module is configured to acquire monitoring data collected by different monitoring terminals based on a preset acquisition period corresponding to each item of data in a case where each item of data is not collected for the first time.

[0017] A sending acquisition module is configured to send the monitoring data to the corresponding edge computing device according to the relationship mapping table, and acquire an analysis result sent by the corresponding edge computing device.

[0018] A summary display module is configured to summarize the analysis results sent by each edge computing device to obtain a current state of the gas pipeline, and display the current state 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 the gas pipeline safety monitoring and management method according to any one of the above.

[0020] In a fourth aspect, the present application provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the steps of the gas pipeline safety monitoring and management method according to any one of the above.

[0021] In a fifth aspect, the present application provides a computer program product comprising a computer program, wherein the computer program is executed by a processor to implement the steps of the gas pipeline safety monitoring and management method according to any one of the above.

[0022] According to the embodiments of the present application, the following technical effects are achieved:

[0023] The application provides a gas pipeline safety monitoring and management method, device, equipment, medium and product. A digital twin model of a gas pipeline is constructed by acquiring topological information of the gas pipeline. The digital twin model of the gas pipeline is numbered by a coupling risk point and a risk degree of the gas pipeline, to obtain a numbered digital twin model. A relationship mapping table of pipeline number-monitoring terminal-edge computing device is constructed by the numbered digital twin model and a distributed network structure. In the case of non-initial collection of various data of the gas pipeline, monitoring data collected by different monitoring terminals is acquired by a preset collection period corresponding to each item of data. The monitoring data is sent to the corresponding edge computing device through the relationship mapping table, and an analysis result sent by the corresponding edge computing device is acquired. The current state of the gas pipeline is obtained by summarizing the analysis results sent by each edge computing device, and the current state of the gas pipeline is displayed on the numbered digital twin model. On the one hand, by constructing the relationship mapping table of pipeline number-monitoring terminal-edge computing device, the correlation between the subsequent monitoring data collection, monitoring data transmission and monitoring data processing can be provided, the flow direction of the monitoring data from the monitoring terminal to the edge computing device is specified, the confusion and errors of data transmission are avoided, the data transmission delay can be reduced to a certain extent, and the data analysis efficiency is improved. When the gas pipeline, the monitoring terminal or the edge computing device fails, it can be quickly positioned, which is convenient for staff to repair and ensures the stability of system operation. On the other hand, the monitoring data collected by different monitoring terminals is acquired by the preset collection period corresponding to each item of data, which can solve the defect of poor data collection flexibility caused by the same collection period in the prior art. Different sampling periods can be set according to the application scenarios of each item of data, the flexibility of data sampling is improved, the gas pipeline is safely monitored and managed in time and effectively, and the total amount of data collection can be reduced by different preset collection periods, thereby reducing the amount of data processing and further improving the data analysis efficiency to a certain extent. BRIEF DESCRIPTION OF DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0025] Figure 1 A flowchart of a gas pipeline safety monitoring and management method provided by an embodiment of the present application is shown in the figure.

[0026] Figure 2 A monitoring data collection flowchart provided by an embodiment of the present application is shown in the figure.

[0027] Figure 3A functional module schematic diagram of a gas pipeline safety monitoring and management device provided for an embodiment of the present application is provided.

[0028] Figure 4 A structural schematic diagram of a computer device provided for an embodiment of the present application is provided. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0030] The above-mentioned purposes, features and advantages of the present application can be more obvious and easy to understand. The present application will be further described in detail below with reference to the drawings and specific embodiments.

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

[0032] Step S110, acquiring topology information of the gas pipeline, and constructing a digital twin model of the gas pipeline.

[0033] In an exemplary embodiment, the topology information includes the connection relationship between the gas pipelines, the nodes connected by the gas pipelines (for example, valves, pressure regulating stations, pipeline branch points, etc.), the positions of the nodes, the types and functions of the nodes, the flow direction of the gas in the gas pipeline, the overall shape of the gas pipeline, the distribution range, and the density of the pipelines in different areas, etc. By establishing a digital twin model through the topology information of the gas pipeline, the actual gas pipeline can be mapped and simulated in all directions in real time, which facilitates subsequent safety monitoring and management of the gas pipeline through the digital twin model.

[0034] Step S120, numbering the digital twin model of the gas pipeline based on the coupling risk points and the risk degree of the gas pipeline, to obtain a numbered digital twin model.

[0035] In an example embodiment, the gas pipeline and the adjacent underground space interact to generate coupling risk points. The occurrence of these coupling risk points can be caused by factors such as pipeline aging, external force damage, underground space construction impact, etc. In its development process, a small hidden danger may gradually expand, for example, after a small crack appears in the pipeline, under the action of internal pressure and external environment, the crack may continue to propagate. When it develops to a certain extent, it may cause disasters such as gas leakage, explosion, etc. Therefore, when determining the coupling risk points, it is necessary to comprehensively collect various data of the gas pipeline and the adjacent underground space, including the material, laying position, service life, pressure parameters of the gas pipeline, and the structure, purpose, construction activities of the surrounding underground space, etc.

[0036] Optionally, in the embodiments of the present application, the risk points of the gas pipeline can be preliminarily screened out through the topological information of the gas pipeline, the operation history data (such as pressure fluctuation record, leakage accident account book, etc.), geological survey report, environmental monitoring data (such as soil corrosiveness report), etc. For example, GB 50028-2020 “Code for Design of City Gas” and the like can be used for screening, for example, the pipeline region of the gas pipeline with pressure ≥1.6MPa and crossing section (such as crossing river, railway) is determined as a risk point; the cast iron pipeline serving for more than 20 years or the gas pipeline with backward early corrosion technology is determined as a risk point; the gas pipeline located in the geological disaster prone area (such as the area with earthquake intensity greater than 5 degrees) is determined as a risk point; then, the coupling risk points of the gas pipeline are determined by the force of the adjacent underground pipeline type, the adjacent underground pipeline size, the surrounding population density, the adjacent building type, etc. on the gas pipeline.

[0037] Further, when evaluating the risk degree of the coupling risk points of the gas pipeline, the monitoring data (such as pressure, temperature) collected by the sensor, the service life of the gas pipeline, the buried depth of the gas pipeline, the external construction work spacing, the circle occupation pressure, etc. can be used to evaluate the gas pipeline. For example, the gas pipeline with crack length >50mm or depth >1 / 3 of wall thickness is determined as a first-class risk point; the gas pipeline with frequency of pressure exceeding design value 80% (such as annual overpressure times >10 times), temperature >60℃ is determined as a second-class risk point; the risk point of the gas pipeline and the adjacent pipeline not meeting the standard of “Code for Comprehensive Planning of City Engineering Pipeline GB 50289-2016” is determined as a third-class risk point.

[0038] Alternatively, in other embodiments, the risk level of the gas pipeline can be evaluated according to the damage, influence of the adjacent underground space explosion accident on the surrounding personnel, protective target, hazard source, etc., the coupling risk points can be divided into four categories: major risk point, larger risk point, general risk point, low risk point, and the general and above coupling risk points are monitored.

[0039] Optionally, the step S120 can include: determining a coupling risk point of the gas pipeline based on the interaction force between the gas pipeline and the adjacent underground space; dividing a risk degree of the coupling risk point based on an aging degree of the gas pipeline at the coupling risk point, an internal pressure of the gas pipeline, and a population density of the coupling risk point to obtain a risk level of the gas pipeline; the risk level of the gas pipeline includes a first risk point, a second risk point, and a third risk point; and numbering the gas pipeline of the digital twin model based on the first risk point, the second risk point, and the third risk point to obtain a numbered digital twin model.

[0040] It should be noted that in the embodiments of the present application, the risk degree of the first risk point is higher than that of the second risk point and the third risk point, and the numbering order of the gas pipeline is arranged in turn from high to low according to the risk degree. For example, for the first risk point, the numbering of the gas pipeline is A-01, A-02; for the second risk point, the numbering of the gas pipeline is B-01, B-02; and for the third risk point, the numbering of the gas pipeline is C-01, 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, pipe diameter, length, etc.), the environmental information (position, burial depth, surrounding soil type, etc.), and the risk status (risk point position, risk degree level, etc.). Through numbering, the detailed information of the gas pipeline can be quickly located and understood, providing data support for subsequent management and monitoring. In other embodiments, by determining the coupling risk point and the risk level of the coupling risk point, data support can be provided for the collection period of each coupling risk point. For example, the pressure data collection period of the gas pipeline with a high risk level is less than that of the gas pipeline with a low risk level.

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

[0042] In an example embodiment, the monitoring terminal is a sensor arranged in the gas well for collecting various data of the gas pipeline. The monitoring terminal is responsible for collecting real-time data of the gas pipeline, such as pressure, flow rate, temperature, etc.; the edge computing device performs data processing and analysis near the data source or user, reducing data transmission volume and delay, and improving system response speed. This structure can make the system more flexible and reliable to run, and adapt to complex gas pipeline distribution environment.

[0043] By establishing a pipeline number-monitoring terminal-edge computing device relationship mapping table, the correspondence between the pipeline number, the monitoring terminal, and the edge computing device can be determined. The "pipeline number" can be associated with the "monitoring terminal" information responsible for monitoring the gas pipeline, including the location of the monitoring terminal, the type and frequency of data collected, and the like. Meanwhile, the "monitoring terminal" is associated with the corresponding "edge computing device", indicating which edge computing device will process the collected monitoring data. Furthermore, through the relationship mapping table, when an abnormality occurs in a section of the gas pipeline, the corresponding monitoring terminal can be quickly found according to the number of the pipeline to obtain real-time data, and then the edge computing device is used for rapid analysis and processing to take timely measures, thereby achieving accurate monitoring and efficient management of the gas pipeline.

[0044] Optionally, the above step S130 can include: based on the number of the gas pipeline and the installation position of each monitoring terminal, constructing a gas number-monitoring terminal relationship mapping table; based on the amount of data collected by the monitoring terminal and the performance indicators of each edge computing device of the distributed network structure according to the computing demand, constructing a monitoring terminal-edge computing device relationship mapping table; based on the gas number-monitoring terminal relationship mapping table and the monitoring terminal-edge computing device relationship mapping table, establishing the association between the number of the gas pipeline and the edge computing device, and constructing a pipeline number-monitoring terminal-edge computing device relationship mapping table.

[0045] It should be noted that the performance indicators of the edge computing device include data processing capability, memory capacity, and running speed; optionally, the edge computing device with higher performance indicators can be associated with the monitoring terminal with larger amount of collected data or higher time efficiency requirement.

[0046] Step S140, in the case of non-initial collection of each data of the gas pipeline, the monitoring data collected by different monitoring terminals is obtained based on the preset collection period corresponding to each data.

[0047] In an example embodiment, the preset collection period is the frequency of the edge computing device obtaining the monitoring data collected by the monitoring terminal. Different data types correspond to different preset collection periods, for example, for the pressure and flow of the gas pipeline that needs to be updated in real time, the preset collection period can be set to 1 second, and for daily cumulative, weekly cumulative, and other 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 period, different collection frequencies can be set according to gas pipelines with different risk levels, for example: for a first risk point, keep 1 second level real-time collection to ensure the timeliness of the monitoring data; for a second risk point, keep 10 second level interval collection to balance the real-time performance and the computing load; for a third risk point, keep a minute level collection period to meet the basic monitoring requirements.

[0049] For example, referring to Figure 2 As shown in the figure, acquiring the monitoring data collected by different monitoring terminals can include:

[0050] Step S1 is performed to determine whether it is the first time to collect data. If yes, step S2 is performed to collect data for all measuring points. If no, step S3 is performed to collect data for corresponding measuring points according to different collection periods, i.e., collecting data for measuring points with a collection period of 1 second, collecting data for measuring points with a collection period of 10 seconds, and collecting data for measuring points with a collection period of 60 seconds. After the collection is completed, step S4 is performed to determine whether all measuring points reach the corresponding preset collection period. If yes, a collection request is sent to the measuring points that reach the preset collection period, and step S3 is performed. If no, the waiting continues.

[0051] It should be noted that Figure 2 The measuring points mentioned above can be the coupling risk points in the above embodiments, or can be certain connection nodes of the gas pipeline.

[0052] Step S150 is performed to send the monitoring data to the corresponding edge computing device according to the relationship mapping table, and to acquire the analysis result sent by the corresponding edge computing device.

[0053] In the example embodiment, the analysis result includes the number of the gas pipeline, the pressure state, the flow state, the daily cumulative amount of gas consumption, the weekly cumulative amount of gas consumption, and / or prompt information about whether the state is normal.

[0054] Optionally, the above step S150 can 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, adding a check code and 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, receiving a data packet sent by the target edge computing device in the case that the target edge computing device receives the data frame, unpacking the data packet and checking the check code of the unpacked data packet, and extracting the analysis result in the data packet in the case that the check is passed.

[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 to obtain a total sum, and then the total sum is taken 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 check code in the data frame. If the two are not equal, it means that an error has occurred in the data frame during transmission, the check is not passed, the target edge computing device does not process the data frame, and sends an alarm information of data transmission error to the central computing device or server of the distributed network structure. The central computing device or server sends the corresponding data frame information to the target edge computing device for deletion, so that the target edge computing device deletes the data frame that fails to pass the check. Or the target edge computing device sends the alarm information of data transmission error to the central computing device or server at the same time, and deletes the tampered data frame. Similarly, after the central computing device or server receives the data packet sent by the target edge computing device, the checksum of the data packet is recalculated and compared with the check code in the data packet. If the two are not equal, it means that an error has occurred in the data packet during transmission, the check is not passed, and the central computing device or server sends a request information to the target edge computing device to reacquire the data packet.

[0056] In step S160, the analysis results sent by each edge computing device are summarized to obtain the current state of the gas pipeline, and the current state of the gas pipeline is displayed on the numbered digital twin model.

[0057] In the example embodiment, the evaluation result includes normal, warning, and failure.

[0058] Optionally, the above step S160 can 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 state of the corresponding gas pipeline to obtain the evaluation result; and displaying the evaluation result on the corresponding gas pipeline of the numbered digital twin model, so that the dispatcher repairs or maintains 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, if the pressure and flow are both within the normal range, the evaluation result is that the state of the gas pipeline is normal; if 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 state of the gas pipeline is warning; and if the pressure or flow seriously exceeds the range and may cause a safety accident, the evaluation result is that the state of the gas pipeline is failure.

[0060] In addition, in order to distinguish the display, the gas pipeline in the normal state can be displayed by a green line, the gas pipeline in the early warning state can be represented by a yellow line flickering, and the gas pipeline in the fault state can be displayed by a red line thickening. At the same time, prompt information is added in the numbered digital twin model, such as displaying the number of the gas pipeline and related detailed information when the mouse hovers over the gas pipeline. The related detailed information can include the current pressure state, flow state, daily cumulative amount, and weekly cumulative amount of the gas pipeline.

[0061] By implementing the above steps S110 to S160, the digital twin model of the gas pipeline is constructed by acquiring the topological information of the gas pipeline; the gas pipeline of the digital twin model is numbered by the coupling risk points and risk degrees of the gas pipeline, to obtain a numbered digital twin model; the relationship mapping table of the pipeline number-monitoring terminal-edge computing device is constructed by the numbered digital twin model and the distributed network structure; in the case of not collecting each item of data of the gas pipeline for the first time, the monitoring data collected by different monitoring terminals is acquired by the preset acquisition period corresponding to each item of data; the monitoring data is sent to the corresponding edge computing device through the relationship mapping table, and the analysis result sent by the corresponding edge computing device is acquired; the current state of the gas pipeline is obtained by summarizing the analysis results sent by each edge computing device, and the current state of the gas pipeline is displayed on the numbered digital twin model. On the one hand, by constructing the relationship mapping table of the pipeline number-monitoring terminal-edge computing device, not only can the correlation be provided for subsequent monitoring data collection, monitoring data transmission, and monitoring data processing, the flow direction of the monitoring data from the monitoring terminal to the edge computing device is specified, the chaos and errors of data transmission are avoided, the data transmission delay is reduced to a certain extent, and the data analysis efficiency is improved; and when the gas pipeline, the monitoring terminal, or the edge computing device fails, it can be quickly located, which is convenient for staff to repair and ensures the stability of system operation. On the other hand, by acquiring the monitoring data collected by different monitoring terminals through the preset acquisition period corresponding to each item of data, the defect of poor data collection flexibility caused by the same acquisition period in the prior art can be solved, different sampling periods can be set according to the application scenarios of each item of data, the flexibility of data sampling is improved, the gas pipeline is safely monitored and managed in a timely and effective manner, and the total amount of data collection is reduced by different preset acquisition periods, 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 safely monitor and manage the gas pipeline in a timely and effective manner, the method can further include: updating the evaluation result displayed on the numbered digital twin model at intervals of the preset acquisition period corresponding to each item of data, to obtain the current evaluation result of the gas pipeline of the numbered digital twin model.

[0063] It should be noted that the evaluation result displayed by the numbered digital twin model is updated through the preset acquisition period corresponding to each item of data, so that the dispatcher can timely and effectively understand the current state of the gas pipeline, and then facilitate the safe monitoring and management of the gas pipeline.

[0064] Based on the same inventive concept, the embodiments of the present application also provide a gas pipeline safety monitoring and management device for implementing the above-mentioned gas pipeline safety monitoring and management method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more gas pipeline safety monitoring and management device embodiments provided below can be referred to the limitations of the gas pipeline safety monitoring and management method in the foregoing, which will not be repeated here.

[0065] In one exemplary embodiment, as shown in Figure 3 A gas pipeline safety monitoring and management device 300 is provided, which includes a model construction module 310, a pipeline numbering module 320, a relationship construction module 330, a data acquisition module 340, a sending acquisition module 350, and a summary display module 360. Specifically,

[0066] The model construction module 310 is configured to acquire the topological information of the gas pipeline and construct a digital twin model of the gas pipeline.

[0067] The pipeline numbering module 320 is configured to number the gas pipeline of the digital twin model based on the coupling risk points and the risk degrees of the gas pipeline, to obtain a numbered digital twin model.

[0068] The relationship construction module 330 is configured to construct a relationship mapping table of pipeline number-monitoring terminal-edge computing device based on the numbered digital twin model and the distributed network structure. The monitoring terminal is a sensor arranged in the gas well for acquiring each item of data of the gas pipeline.

[0069] The data acquisition module 340 is configured to acquire monitoring data collected by different monitoring terminals based on a preset acquisition period corresponding to each item of data in a case where each item of data of the gas pipeline is not collected for the first time.

[0070] The sending acquisition module 350 is configured to send the monitoring data to the corresponding edge computing device according to the relationship mapping table, and acquire the analysis result sent by the corresponding edge computing device.

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

[0072] As an optional implementation, the pipeline numbering module 320 is specifically configured to determine a coupling risk point of the gas pipeline based on the interaction force between the gas pipeline and the adjacent underground space; divide the risk degree 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 a risk level of the gas pipeline; the risk level of the gas pipeline includes a first risk point, a second risk point, and a third risk point; and number the gas pipeline of the digital twin model based on the first risk point, the second risk point, and the third risk point, to obtain a numbered digital twin model.

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

[0074] As an optional implementation, the sending and acquiring module 350 is specifically configured 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 a check code and address information of the target edge computing device to generate a data frame; send the data frame to the target edge computing device through a wireless network; receive a data packet sent by the target edge computing device in the case that the target edge computing device receives the data frame; unseal the data packet and check the check code of the unsealed data packet, and extract an analysis result in the data packet in the case that the check code passes the verification; the analysis result includes the numbering of the gas pipeline, the pressure state, the flow state, the daily cumulative amount of gas consumption, the weekly cumulative amount, and / or prompt information indicating whether the state is normal.

[0075] As an optional implementation, the summary display module 360 is specifically configured to classify and arrange the received analysis results according to the numbering of the gas pipeline based on the relationship mapping table, to obtain analysis results corresponding to different monitoring data under the same numbering; comprehensively evaluate the current state of the corresponding gas pipeline based on the analysis results corresponding to different monitoring data under the same numbering, to obtain an evaluation result; the evaluation result includes normal, early warning, and failure; and display the evaluation result on the corresponding gas pipeline of the numbered digital twin model, so that the dispatcher can repair or maintain the gas pipeline based on the evaluation result.

[0076] As an optional implementation, the gas pipeline safety monitoring and management device 300 further comprises an updating module configured to update the evaluation result displayed by the numbered digital twin model at a preset collection period corresponding to each item of data to obtain a current evaluation result of the gas pipeline of the numbered digital twin model.

[0077] In this implementation, on the one hand, by constructing the relationship mapping table of pipeline number-monitoring terminal-edge computing device, not only can the correlation relationship be provided for subsequent monitoring data collection, monitoring data transmission and monitoring data processing, the flow direction of monitoring data from the monitoring terminal to the edge computing device can be specified, the confusion and errors of data transmission can be avoided, the data transmission delay can be reduced to a certain extent, and the data analysis efficiency can be improved; and when the gas pipeline, the monitoring terminal or the edge computing device fails, the fault can be quickly located, the staff can be facilitated to repair, and the stability of system operation can be ensured; on the other hand, the monitoring data collected by different monitoring terminals can be obtained through the preset collection period corresponding to each item of data, the defect of poor data collection flexibility caused by the same collection period in the prior art can be solved, different sampling periods can be set according to the application scenarios of each item of data, the flexibility of data sampling can be improved, the gas pipeline can be safely monitored and managed in a timely and effective manner, and the total amount of data collection can be reduced through different preset collection periods, thereby reducing the amount of data processing and further improving the data analysis efficiency to a certain extent.

[0078] In an exemplary embodiment, a computer device, which can be a server or a terminal, has an internal structure as shown in Figure 4 The computer device includes a processor, a memory, an input / output interface (I / O) and a communication interface. The processor, the memory and the 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 configured 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 operating system and the computer program in the non-volatile storage medium to run. The database of the computer device is configured to store data for gas pipeline safety monitoring and management. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to communicate with external terminals through network connection. The computer program is executed by the processor to implement a gas pipeline safety monitoring and management method.

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

[0080] In an exemplary embodiment, a computer device is also provided, including a memory and a processor, the memory storing a computer program, and the processor implementing 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, and the computer program implements the steps in the above method embodiments when executed by a processor.

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

[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 for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant regulations.

[0084] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of the non-volatile and volatile memories. The non-volatile memory can include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric memory (Ferroelectric Random Access Memory, FRAM), phase change memory (Phase Change Memory, PCM), graphene memory, etc. The volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc.

[0085] The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a blockchain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0086] The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combinations of the technical features do not exist contradictory, they should be considered as the scope of the present application.

[0087] The principles and implementation modes of the present application are described by applying specific examples in the present application. The above embodiment description is only used to help understand the method and its core idea of the present application; at the same time, for those skilled in the art, according to the idea of the present application, the specific implementation mode and application range will be changed. In conclusion, the content of the present application should not be understood as a limitation.

Claims

1. A method for gas pipeline safety monitoring and management, characterized in that, The gas pipeline safety monitoring and management method comprises: acquiring topological information of the gas pipeline, and constructing a digital twin model of the gas pipeline; numbering the gas pipeline of the digital twin model based on coupling risk points and risk levels of the gas pipeline, to obtain a numbered digital twin model; based on the numbered digital twin model and the distributed network structure, constructing a relationship mapping table of pipeline number-monitoring terminal-edge computing device; the monitoring terminal is a sensor arranged in the gas well for collecting various data of the gas pipeline; in the case of non-initial collection of various data of the gas pipeline, obtaining monitoring data collected by different monitoring terminals based on the preset collection period corresponding to each item of data; according to the relationship mapping table, sending the monitoring data to the corresponding edge computing device, and obtaining the analysis result sent by the corresponding edge computing device; summarizing the analysis results sent by each edge computing device to obtain the current state of the gas pipeline, and displaying the current state of the gas pipeline on the numbered digital twin model; wherein, based on the coupling risk points and risk levels of the gas pipeline, the numbering of the digital twin model of the gas pipeline is carried out, and the numbered digital twin model is obtained, comprising: determining the coupling risk points of the gas pipeline based on the interaction force between the gas pipeline and the adjacent underground space; based on the aging degree of the coupling risk points of the gas pipeline, the internal pressure of the gas pipeline and the population density, the risk level of the coupling risk points is divided, to obtain the risk level of the gas pipeline; the risk level of the gas pipeline includes a class of risk points, a class of risk points and a class of risk points; based on the first class of risk points, the second class of risk points and the third class of risk points, the numbering of the digital twin model of the gas pipeline is carried out, to obtain the numbered digital twin model; according to the relationship mapping table, sending the monitoring data to the corresponding edge computing device, and obtaining the analysis result sent by the corresponding edge computing device, comprising: determining the target edge computing device corresponding to the monitoring data collected by different monitoring terminals based on the relationship mapping table; packaging the monitoring data collected by different monitoring terminals, 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 through a wireless network; in the case that the target edge computing device receives the data frame, receiving the data packet sent by the target edge computing device; unpacking the data packet and checking the check code of the unpacked data packet, in the case that the check is passed, extracting the analysis result in the data packet; the analysis result includes the number of the gas pipeline, the pressure state, the flow state, the daily cumulative amount of gas consumption, the weekly cumulative amount and / or the prompt information of whether the state is normal.

2. The method for gas pipeline safety monitoring and management according to claim 1, characterized in that, based on the numbered digital twin model and the distributed network structure, constructing a relationship mapping table of pipeline number-monitoring terminal-edge computing device, comprising: construct a relationship mapping table of gas number-monitoring terminal based on the number of the gas pipeline and the installation position of each monitoring terminal; construct a relationship mapping table of monitoring terminal-edge computing device based on the amount of data collected by the monitoring terminal and the performance indicators of each edge computing device in the distributed network structure; establish the association between the number of the gas pipeline 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 construct the relationship mapping table of pipeline number-monitoring terminal-edge computing device.

3. The method for gas pipeline safety monitoring and management according to claim 1, characterized in that, The method further comprises: update the evaluation results displayed on the numbered digital twin model at intervals of a preset collection period corresponding to each item of data to obtain the current evaluation results of the gas pipeline of the numbered digital twin model. The gas pipeline safety monitoring and management device comprises: a model construction module configured to obtain topological information of a gas pipeline and construct a digital twin model of the gas pipeline; 4. The method for gas pipeline safety monitoring and management according to claim 1, characterized in that, a pipeline numbering module configured to number the gas pipeline of the digital twin model based on coupling risk points and risk levels of the gas pipeline, and obtain a numbered digital twin model; specifically, the pipeline numbering module is configured to determine coupling risk points of the gas pipeline based on the interaction force between the gas pipeline and adjacent underground space, divide 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 at the coupling risk points, and obtain the risk levels of the gas pipeline; the risk levels of the gas pipeline include first risk points, second risk points, and third risk points; and the pipeline numbering module is configured to number the gas pipeline of the digital twin model based on the first risk points, the second risk points, and the third risk points, and obtain the numbered digital twin model; a relationship construction module configured to construct a relationship mapping table of pipeline number-monitoring terminal-edge computing device based on the numbered digital twin model and a distributed network structure; the monitoring terminal is a sensor arranged in a gas well for collecting various data of the gas pipeline; 5. A gas pipeline safety monitoring and management device, characterized by, a data acquisition module configured to, in a case of non-initial collection of various data of the gas pipeline, acquire monitoring data collected by different monitoring terminals based on a preset collection period corresponding to each item of data. ​ ​ ​ ​ The sending acquisition module is configured to send the monitoring data to the corresponding edge computing device according to the relationship mapping table, and acquire the analysis result sent by the corresponding edge computing device; specifically, the sending acquisition module is configured 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, add a check code and address information of the target edge computing device to generate a data frame, send the data frame to the target edge computing device through a wireless network, receive a data packet sent by the target edge computing device when the target edge computing device receives the data frame, unseal the data packet and check the check code of the unsealed data packet, extract an analysis result in the data packet when the check is passed, and the analysis result includes a number of a gas pipeline, a pressure state, a flow state, a daily cumulative amount of gas consumption, a weekly cumulative amount of gas consumption, and / or prompt information about whether a state is normal. The summary display module is configured to summarize the analysis results sent by each edge computing device to obtain a current state of the gas pipeline, and display the current state of the gas pipeline on the numbered digital twin model.

6. 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 1-4.

7. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the gas pipeline safety monitoring and management method according to any one of claims 1-4.

8. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the gas pipeline safety monitoring and management method according to any one of claims 1-4.

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