A 5G-based gas transmission and distribution pipe network monitoring and early warning management system

Abstract

The application relates to the technical field of gas transmission and distribution pipe network monitoring, and particularly discloses a gas transmission and distribution pipe network monitoring and early warning management system based on 5G, which comprises a monitoring module, a control module, an analysis and management module, a communication unit and an early warning unit. The monitoring module is arranged at each node of the gas pipe network for monitoring, and is used for monitoring pipeline data and environmental data of each node. The control module is arranged at each node of the gas pipe network for control, and is used for controlling gas on-off and opening angle of each node. The analysis and management module is used for analyzing the pipeline data and the environmental data acquired by the monitoring module, executing an active test strategy according to an analysis result, and generating an early warning signal according to a test result. The communication unit is used for connecting the monitoring module, the analysis and management module and the control module based on 5G communication. The early warning unit is used for early warning according to the early warning signal. The system can accurately and timely judge potential risks through the active test strategy.

Description

Technical Field

[0001] This invention relates to the field of gas transmission and distribution pipeline network monitoring technology, specifically a 5G-based gas transmission and distribution pipeline network monitoring and early warning management system. Background Technology

[0002] With rapid urbanization, gas pipeline networks play a vital role in ensuring safe transmission and distribution. Simultaneously, the rapid development of 5G and material network technologies allows for the addition of intelligent sensors and the utilization of IoT technology to monitor data such as pressure, flow, confined space conditions, and gas leaks. This enables real-time recording and analysis of pipeline network operational health data, achieving the integration of pipeline geographic and operational status information, and dynamic safety supervision of pipeline operations. Ultimately, this provides gas companies with reliable, effective, and useful automated online monitoring technologies, improving their operational and management efficiency.

[0003] Existing methods for monitoring gas transmission and distribution networks mainly involve setting up corresponding monitoring sensors at various key nodes of the gas pipeline to obtain the real-time status of the node. At the same time, the data is sent to a data analysis center for analysis and judgment. When the monitored real-time status value exceeds the preset value, a corresponding warning will be issued, which can promptly remind managers to conduct on-site judgment of the location of the warning node, thereby assisting the gas company in eliminating potential risks in a timely manner.

[0004] However, existing monitoring methods mainly make judgments within a relatively large range and are based on passive data during the gas pipeline transportation process. Therefore, there will be some deviation in the threshold setting process, which will lead to a certain lag in the judgment process. Summary of the Invention

[0005] The purpose of this invention is to provide a 5G-based monitoring and early warning management system for gas transmission and distribution pipelines, addressing the following technical problems:

[0006] How to achieve accurate and technical early warning management of gas transmission and distribution pipeline networks.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] A 5G-based gas transmission and distribution pipeline network monitoring and early warning management system, the system comprising:

[0009] The system includes:

[0010] The monitoring module is installed at various monitoring nodes in the gas pipeline network to monitor pipeline data and environmental data at each node.

[0011] The control module is installed at each control node of the gas pipeline network to control the gas flow and opening angle of each node.

[0012] The analysis and management module is used to analyze the pipeline data and environmental data acquired by the monitoring module, execute proactive testing strategies based on the analysis results, and generate early warning signals based on the test results.

[0013] The communication unit includes a 5G communication connection monitoring module, an analysis and management module, and an analysis and management module and a control module.

[0014] The early warning unit is used to issue early warnings based on early warning signals.

[0015] The pipeline data includes the real-time flow rate and real-time pressure at each node;

[0016] The environmental data includes real-time gas concentration data and real-time temperature data for each node;

[0017] The analysis process performed by the analysis management module includes:

[0018] The real-time gas concentration data and real-time temperature data are compared with preset threshold conditions:

[0019] Through formula Calculate and obtain the real-time status value of the current node. ;

[0020] in, This is the real-time gas concentration value; This is a reference value for gas concentration; This is the cumulative reference value for gas concentration; , This is the first preset proportional coefficient; For preset time periods; This is the real-time temperature value; This is a standard temperature reference value; This is a cumulative temperature reference value; , This is the second preset proportional coefficient; For comparison conversion functions;

[0021] Real-time status value With preset threshold Compare:

[0022] like < If so, it is determined that the preset threshold condition is met;

[0023] like ≥ If the preset threshold condition is not met, then it is determined that the condition is not met.

[0024] when Meets the preset threshold At that time, through the formula Calculation of ambient temperature deviation model ;

[0025] Through formula Calculation of environmental gas concentration deviation model ,

[0026] in, This refers to the real-time external ambient temperature. It is a temperature transfer function; The initial ambient gas concentration; , For the preset weighting coefficients, and ;

[0027] Will Deviation threshold from preset , Compare and put Deviation threshold from preset , The comparison is performed, and a corresponding early warning signal is generated or an active testing strategy is executed based on the comparison results:

[0028] when The preset threshold is not met. When this happens, a warning signal will be generated.

[0029] Furthermore, the aforementioned Deviation threshold from preset , The comparison process is as follows:

[0030] like > If so, an early warning will be issued;

[0031] like ∈[ If the condition is met, then the proactive testing strategy will be executed;

[0032] The Deviation threshold from preset , The comparison process is as follows:

[0033] like If so, an early warning will be issued;

[0034] like ∈[ If ], then the proactive testing strategy will be executed.

[0035] Furthermore, the proactive testing strategy is as follows:

[0036] Obtain the monitoring node corresponding to the active testing strategy, and adjust the control parameters of the corresponding control node through the control module;

[0037] Obtain pipeline and environmental data for this monitoring node;

[0038] The safety risk status of a node is determined based on pipeline and environmental data from the monitoring node, and an early warning signal is issued when a safety risk is detected.

[0039] Furthermore, the process for determining the security risk status includes:

[0040] Through formula Calculate the security risk value of this node. ;

[0041] in, This is the time point before the proactive testing strategy is executed. The node pressure value at time t. H represents the pressure regulation amount, and H represents the pipeline parameter model corresponding to the node. The node gas concentration value at time t; This refers to the permissible value for gas concentration error. , For adjustment coefficients;

[0042] Based on safety risk value Determine the security risk status of the monitoring nodes.

[0043] Furthermore, the process of determining the security risk status also includes: setting the security risk value... With risk threshold Compare:

[0044] like > If so, a warning signal will be issued;

[0045] Otherwise, issue a warning signal.

[0046] The beneficial effects of this invention are:

[0047] (1) The present invention first analyzes the pipeline data and environmental data obtained by the monitoring module through the analysis and management module, judges the more obvious risk problems, and then executes the active testing strategy according to the analysis results. Based on the test results, it judges the potential risks and generates early warning signals based on the test results, thereby realizing the judgment of the safety risks of the gas pipeline network and accurately and timely realizing the early warning management process of the gas transmission pipeline.

[0048] (2) The present invention judges the safety risk status of the monitoring node based on the pipeline data and environmental data of the monitoring node, and issues an early warning signal when a safety risk is judged to exist. It can realize a dynamic judgment process, thereby improving the accuracy of the judgment. Attached Figure Description

[0049] The invention will now be further described with reference to the accompanying drawings.

[0050] Figure 1 This is a schematic diagram of the outline of the 5G-based gas transmission and distribution pipeline network monitoring and early warning management system of the present invention. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] Please see Figure 1 As shown, in one embodiment, a 5G-based gas transmission and distribution pipeline network monitoring and early warning management system is provided, the system comprising:

[0053] The monitoring module is installed at various monitoring nodes in the gas pipeline network to monitor pipeline data and environmental data at each node.

[0054] The control module is installed at each control node of the gas pipeline network to control the gas flow and opening angle of each node.

[0055] The analysis and management module is used to analyze the pipeline data and environmental data acquired by the monitoring module, execute proactive testing strategies based on the analysis results, and generate early warning signals based on the test results.

[0056] The communication unit includes a 5G communication connection monitoring module, an analysis and management module, and an analysis and management module and a control module.

[0057] The early warning unit is used to issue early warnings based on early warning signals.

[0058] Through the above technical solution, this embodiment utilizes 5G technology to realize the communication process between the monitoring module, control module, and analysis and management module. The monitoring module is installed at various monitoring nodes in the gas pipeline network to monitor pipeline and environmental data at each node. It achieves its function through sensors with corresponding functions. The control module is installed at various control nodes in the gas pipeline network, and it achieves its function through relevant active control components in the gas pipeline network, controlling the gas flow and opening / closing angle at each node. Simultaneously, the analysis and management module first analyzes the pipeline and environmental data acquired by the monitoring module to identify significant risks. Then, based on the analysis results, it executes an active testing strategy to assess potential risks based on the test results, and finally generates early warning signals based on the test results. This achieves accurate and timely early warning management of the gas transmission pipeline, enabling the assessment of safety risks in the gas pipeline network.

[0059] As one embodiment of the present invention, the pipeline data includes the real-time flow rate and real-time pressure of each node;

[0060] The environmental data includes real-time gas concentration data and real-time temperature data for each node;

[0061] The analysis process performed by the analysis management module includes:

[0062] The real-time gas concentration data and real-time temperature data are compared with preset threshold conditions:

[0063] Through formula Calculate and obtain the real-time status value of the current node. ;

[0064] in, This is the real-time gas concentration value; This is a reference value for gas concentration; This is the cumulative reference value for gas concentration; , This is the first preset proportional coefficient; For preset time periods; This is the real-time temperature value; This is a standard temperature reference value; This is a cumulative temperature reference value; , This is the second preset proportional coefficient; For comparison conversion functions;

[0065] Real-time status value With preset threshold Compare:

[0066] like < If so, it is determined that the preset threshold condition is met;

[0067] like ≥ If the preset threshold condition is not met, then it is determined that the condition is not met.

[0068] It should be noted that the real-time gas concentration data is the same as the concentration parameter of the fuel gas.

[0069] Through the above technical solution, this embodiment uses the real-time status value of the current node. To make a preliminary judgment on its state, including the real-time state value. , Indicates the state of ambient gas concentration. Indicates the ambient temperature status. This indicates the gas concentration risk status at the current temperature. Therefore, the real-time status value... It can comprehensively assess current environmental factors by integrating various environmental data and the matching status between these data, thus improving the dynamic adaptability of the assessment process.

[0070] It should be noted that the reference value for gas concentration Cumulative reference value of gas concentration Temperature standard reference value and cumulative temperature reference value All settings are selected and obtained based on empirical data, and will not be detailed here; the first preset ratio coefficient , and the second preset proportional coefficient , This is obtained based on the data fitting process and compared with the transformation function. The critical gas concentration is set according to the temperature conditions. Therefore, when Exceeding the corresponding temperature hour, A value greater than 1 indicates a higher probability of risk.

[0071] As one embodiment of the present invention, when Meets the preset threshold At that time, through the formula Calculation of ambient temperature deviation model ;

[0072] Through formula Calculation of environmental gas concentration deviation model ;

[0073] in, This refers to the real-time external ambient temperature. It is a temperature transfer function; The initial ambient gas concentration; , For the preset weighting coefficients, and ;

[0074] Will Deviation threshold from preset , Compare and put Deviation threshold from preset , Compare the results and generate corresponding early warning signals or execute proactive testing strategies based on the comparison results.

[0075] when The preset threshold is not met. When this happens, an early warning signal is generated.

[0076] Through the above technical solution, in the current Meets the preset threshold At that time, through the formula Calculation of ambient temperature deviation model Through formula Calculation of environmental gas concentration deviation model ,in, For real-time external ambient temperature, the temperature transfer function The specific structural layout of the node was determined in advance; therefore, This reflects the temperature deviation. , As the preset weighting coefficients, therefore ( This reflects the average concentration state, and thus This reflects the concentration deviation; therefore, the ambient gas concentration deviation model is used. and ambient temperature deviation model The acquisition of this information can provide specific evidence for the comparison process.

[0077] As one embodiment of the present invention, Deviation threshold from preset , The comparison process is as follows:

[0078] like > If so, an early warning will be issued;

[0079] like ∈[ If the condition is met, then the proactive testing strategy will be executed;

[0080] Will Deviation threshold from preset , The comparison process is as follows:

[0081] like If so, an early warning will be issued;

[0082] like ∈[ If ], then the proactive testing strategy will be executed.

[0083] Through the above technical solution, this embodiment will... Deviation threshold from preset , Compare: If > If so, an early warning will be issued; if ∈[ If the condition is met, then an active testing strategy will be implemented; by... Deviation threshold from preset , Compare: If If so, an early warning will be issued; if ∈[ If the deviation between the current data and the model is large, an active testing strategy is executed. Through the above comparison process, the deviation between the current data and the model can be judged in different degrees. When the deviation is large, an early warning is issued directly. When the deviation is slightly high but within a reasonable range, the active testing strategy is executed to make further judgments. This process can improve the intelligence of the judgment process.

[0084] It should be noted that the preset deviation threshold , and preset deviation threshold , All settings were selected based on empirical data and will not be elaborated further here.

[0085] As one embodiment of the present invention, the active testing strategy is as follows:

[0086] Obtain the monitoring node corresponding to the active testing strategy, and adjust the control parameters of the corresponding control node through the control module;

[0087] Obtain pipeline and environmental data for this monitoring node;

[0088] The safety risk status of a node is determined based on pipeline and environmental data from the monitoring node, and an early warning signal is issued when a safety risk is detected.

[0089] Through the above technical solution, this embodiment adjusts the control parameters of the control node corresponding to the monitoring node through the control module. Specifically, it actively adjusts the set pressure and flow rate, judges the safety risk status of the node based on the pipeline data and environmental data of the monitoring node, and issues an early warning signal when a safety risk is judged. This enables a dynamic judgment process, thereby improving the accuracy of the judgment.

[0090] As one embodiment of the present invention, the process for determining the security risk status includes:

[0091] Through formula Calculate the security risk value of this node. ;

[0092] in, This is the time point before the proactive testing strategy is executed. The node pressure value at time t. H represents the pressure regulation amount, and H represents the pipeline parameter model corresponding to the node. The node gas concentration value at time t; This refers to the permissible value for gas concentration error. , For adjustment coefficients;

[0093] Based on safety risk value Determine the security risk status of the monitoring nodes.

[0094] The process of determining the security risk status also includes: setting the security risk value... With risk threshold Compare:

[0095] like > If so, a warning signal will be issued;

[0096] Otherwise, issue a warning signal.

[0097] Through the above technical solution, this embodiment uses the formula Calculate the security risk value of this node. Through security risk values Determine the security risk status of the monitoring node when > If the signal is strong, it indicates a significant safety risk, thus triggering a warning signal; otherwise, a reminder signal is issued to prompt management personnel for manual confirmation. The safety risk value is... H represents the pipeline parameter model corresponding to the node, which is calculated based on the specific structural layout of the pipeline and flow data. Therefore, when inputting data into this parameter model... and pressure regulation Then, it is possible to determine the pressure variation at the corresponding monitoring node location, and further determine whether there are any anomalies by analyzing the process. To determine the change in gas concentration, and then through the safety risk value It can assess the overall safety status.

[0098] It should be noted that the permissible value for gas concentration error... and adjustment coefficient , All settings were selected based on empirical data and will not be elaborated further here.

[0099] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A 5G-based monitoring and early warning management system for gas transmission and distribution pipelines, characterized in that, The system includes: The monitoring module is installed at various monitoring nodes in the gas pipeline network to monitor pipeline data and environmental data at each node. The control module is installed at each control node of the gas pipeline network to control the gas flow and opening angle of each node. The analysis and management module is used to analyze the pipeline data and environmental data acquired by the monitoring module, execute proactive testing strategies based on the analysis results, and generate early warning signals based on the test results. The communication unit includes a 5G communication connection monitoring module, an analysis and management module, and an analysis and management module and a control module. The early warning unit is used to issue early warnings based on early warning signals; The pipeline data includes the real-time flow rate and real-time pressure at each node; The environmental data includes real-time gas concentration data and real-time temperature data for each node; The analysis process performed by the analysis management module includes: The real-time gas concentration data and real-time temperature data are compared with preset threshold conditions: Through formula Calculate and obtain the real-time status value of the current node. ; in, This is the real-time gas concentration value; This is a reference value for gas concentration; This is the cumulative reference value for gas concentration; , This is the first preset proportional coefficient; For preset time periods; This is the real-time temperature value; This is a standard temperature reference value; This is a cumulative temperature reference value; , This is the second preset proportional coefficient; For comparison conversion function, comparison conversion function The critical gas concentration is set according to the temperature conditions. Real-time status value With preset threshold Compare: like < If so, it is determined that the preset threshold condition is met; like ≥ If the preset threshold condition is not met, then it is determined that the condition is not met. when Meets the preset threshold At that time, through the formula Calculation of ambient temperature deviation model ; Through formula Calculation of environmental gas concentration deviation model ; in, This refers to the real-time external ambient temperature. The temperature transfer function. The specific structural layout of the node was determined in advance; The initial ambient gas concentration; , For the preset weighting coefficients, and ; Will Deviation threshold from preset , Compare and put Deviation threshold from preset , Compare the results and generate corresponding early warning signals or execute proactive testing strategies based on the comparison results. when The preset threshold is not met. When this happens, a warning signal will be generated.

2. The 5G-based gas transmission and distribution pipeline monitoring and early warning management system according to claim 1, characterized in that, The Deviation threshold from preset , The comparison process is as follows: like > If so, an early warning will be issued; like ∈[ If the condition is met, then the proactive testing strategy will be executed; The Deviation threshold from preset , The comparison process is as follows: like If so, an early warning will be issued; like ∈[ If ], then the proactive testing strategy will be executed.

3. The 5G-based gas transmission and distribution pipeline monitoring and early warning management system according to claim 2, characterized in that, The proactive testing strategy is as follows: Obtain the monitoring node corresponding to the active testing strategy, and adjust the control parameters of the corresponding control node through the control module; Obtain pipeline and environmental data for this monitoring node; The safety risk status of a node is determined based on pipeline and environmental data from the monitoring node, and an early warning signal is issued when a safety risk is detected.

4. The 5G-based gas transmission and distribution pipeline monitoring and early warning management system according to claim 3, characterized in that, The process for determining the security risk status includes: Through formula Calculate the security risk value of this node. ; in, This is the time point before the proactive testing strategy is executed. The node pressure value at time t. H represents the pressure regulation amount, and H represents the pipeline parameter model corresponding to the node. The node gas concentration value at time t; This refers to the permissible value for gas concentration error. , For adjustment coefficients; Based on safety risk value Determine the security risk status of the monitoring nodes.

5. A 5G-based gas transmission and distribution pipeline monitoring and early warning management system according to claim 4, characterized in that, The process of determining the security risk status also includes: setting the security risk value... With risk threshold Compare: like > If so, a warning signal will be issued; Otherwise, issue a warning signal.

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