Pipeline online operation monitoring method, system and equipment based on pipe network simulation model and medium

Abstract

The invention relates to the technical field of pipe network monitoring, and discloses a pipeline online operation monitoring method, system, equipment and medium based on a pipe network simulation model.A mass conservation equation, a momentum conservation equation and an energy conservation equation are combined, a dynamic simulation model of a pipe network system is comprehensively constructed through a transient simulation engine, and the pipeline online operation monitoring method and system based on the pipe network simulation model. The real-time monitoring data is used for correcting the dynamic simulation model of the pipe network system, the occurrence probability and duration of abnormal events in the pipe network system are predicted through a survival time simulation method, early warning is given out, the real-time operation state and dynamic behaviors of the pipe network can be truly reflected, reliable data support is provided for operators, and the method is suitable for popularization and application. Omnibearing monitoring and accurate management of pipe network operation are ensured, the operation efficiency and safety of a pipe network system are greatly improved, and monitoring requirements under complex working conditions are met.

Description

Technical Field

[0001] The present invention relates to the technical field of pipeline network monitoring, and in particular to a pipeline online operation monitoring method, system, equipment and medium based on a pipeline network simulation model. Background Art

[0002] Pipeline network systems, as the core infrastructure for modern energy and resource transportation, are widely used around the world. Whether it is natural gas transportation, oil transportation, or the construction and operation of water and power supply networks, the stability and safety of pipeline network systems are directly related to the operation of the social economy and the quality of life of residents. However, with the continuous expansion of pipeline network scale and the continuous changes in transportation needs, traditional pipeline network monitoring technology has gradually exposed many shortcomings that cannot meet the needs under complex working conditions.

[0003] In traditional pipe network management, common monitoring methods include:

[0004] Manual inspection: Regularly dispatch staff to conduct on-site inspections of the pipeline network. Although this can detect obvious leaks or equipment damage, it is impossible to achieve comprehensive real-time monitoring.

[0005] Fixed sensors: Data collection relies on sensors at only a few key nodes. This approach can easily lead to data blind spots, especially in long-distance, complex-structured pipe network systems, where data from a single sensor cannot accurately reflect the real-time operating status of the entire network.

[0006] Static analysis: Most traditional pipeline network analysis methods are based on steady-state conditions, that is, they assume that the operating parameters of the pipeline network remain unchanged. However, factors such as pressure fluctuations and flow changes in actual working conditions make this method unable to truly reflect the dynamic behavior of the pipeline network.

[0007] As the scale of pipeline network systems increases, especially in cross-regional and cross-national oil and gas pipelines, traditional monitoring and management methods gradually show their inability to cope with complex working conditions. For example, due to the particularity of the geographical environment and transmission pressure, long-distance pipelines may have pressure fluctuations, gas mixing, leakage and other problems. These problems not only rely on the real-time data of a few monitoring points, but also require comprehensive and dynamic monitoring and accurate prediction of the status of the entire pipeline network. Therefore, there is an urgent need for a pipeline online operation monitoring method, system, equipment and medium based on a pipeline network simulation model. Summary of the invention

[0008] The present invention provides a pipeline online operation monitoring method, system, equipment and medium based on a pipeline network simulation model, which are used to solve the defect that the existing pipeline network monitoring method cannot meet the monitoring requirements under complex working conditions.

[0009] The present invention provides a pipeline online operation monitoring method based on a pipeline network simulation model, comprising:

[0010] Obtain real-time monitoring data of the pipe network system;

[0011] Based on the mass conservation equation, momentum conservation equation, and energy conservation equation, combined with the transient simulation engine, a dynamic simulation model of the pipe network system is constructed;

[0012] According to the real-time monitoring data of the pipe network system, the dynamic simulation model of the pipe network system is corrected;

[0013] Based on the corrected dynamic simulation model of the pipeline network system, the survival time simulation method is used to predict the probability and duration of abnormal events in the pipeline network system and issue an early warning.

[0014] According to a pipeline online operation monitoring method based on a pipeline network simulation model provided by the present invention, real-time monitoring data of the pipeline network system includes any one of the following or any combination thereof: flow data, pressure data, and temperature data.

[0015] According to a pipeline online operation monitoring method based on a pipeline network simulation model provided by the present invention, the pipeline network system dynamic simulation model is constructed based on the mass conservation equation, momentum conservation equation, and energy conservation equation in combination with a transient simulation engine, including:

[0016] Based on the mass conservation equation, momentum conservation equation, and energy conservation equation, a transient simulation engine is used to simulate the transient behavior of the fluid mechanics system in the pipe network system using mathematical models and numerical solutions to construct a dynamic simulation model of the pipe network system.

[0017] According to a pipeline online operation monitoring method based on a pipeline network simulation model provided by the present invention, the mass conservation equation is:

[0018]

[0019] In the mass conservation equation, ρ is the fluid density of the pipe network system, v is the fluid velocity of the pipe network system, and t is the time.

[0020] According to a pipeline online operation monitoring method based on a pipeline network simulation model provided by the present invention, the momentum conservation equation is:

[0021]

[0022] In the momentum conservation equation, ρ is the fluid density of the pipe network system, v is the fluid velocity of the pipe network system, P is the pressure of the fluid in the pipe network system, μ is the viscosity of the fluid in the pipe network system, f is the external force, and t is the time.

[0023] According to a pipeline online operation monitoring method based on a pipeline network simulation model provided by the present invention, the energy conservation equation is:

[0024]

[0025] In the energy conservation equation, ρ is the fluid density of the pipe network system, v is the fluid velocity of the pipe network system, e is the total energy per unit volume in the pipe network system, q is the heat flux density of the pipe network system, Q is the external heat source, and t is time.

[0026] According to a pipeline online operation monitoring method based on a pipeline network simulation model provided by the present invention, the pipeline network system dynamic simulation model is corrected according to real-time monitoring data of the pipeline network system, including:

[0027] According to the real-time monitoring data of the pipe network system, the dynamic simulation model of the pipe network system is corrected using the Kalman filter algorithm and / or the particle filter algorithm.

[0028] According to a pipeline online operation monitoring method based on a pipeline network simulation model provided by the present invention, the pipeline network system dynamic simulation model after correction is used to predict the probability and duration of abnormal events in the pipeline network system by using a survival time simulation method, and issue an early warning, including:

[0029] Based on the corrected dynamic simulation model of the pipe network system, the probability that the time of abnormal events in the pipe network system will be greater than a specific time is obtained through the survival function;

[0030] Based on the corrected dynamic simulation model of the pipe network system, the instantaneous probability of abnormal events occurring in the pipe network system is obtained through the fault function;

[0031] According to the probability that the time of abnormal events in the pipe network system is greater than a specific time and the instantaneous probability of abnormal events, the probability and duration of abnormal events in the pipe network system are obtained;

[0032] Based on the probability and duration of abnormal events in the pipe network system, simulation analysis is carried out, and early warnings and response suggestions are issued.

[0033] According to a pipeline online operation monitoring method based on a pipeline network simulation model provided by the present invention, the survival function is:

[0034] S(t)=P(T>t),

[0035] In the survival function, T is the time required for the gas in the pipeline system to reach the target point from the starting point, t is the specific time, and S(t) represents the probability that the time required for the gas in the pipeline system to reach the target point from the starting point is greater than t.

[0036] According to a pipeline online operation monitoring method based on a pipeline network simulation model provided by the present invention, the fault function is:

[0037]

[0038] In the fault function, f(t) is the probability density of the event occurring at time t, S(t) represents the probability that the time required for the gas in the pipeline system to reach the target point from the starting point is greater than t, and λ(t) is the failure rate of the pipeline system at time t.

[0039] According to a pipeline online operation monitoring method based on a pipeline network simulation model provided by the present invention, simulation analysis is performed according to the probability and duration of abnormal events in the pipeline network system, and early warnings and response suggestions are issued, including:

[0040] For different types of abnormal events in the pipe network system, when the probability of occurrence is greater than the corresponding first preset threshold and the duration is greater than the corresponding second preset threshold, corresponding warnings and response suggestions are issued, where different types of abnormal events include any one of the following or any combination thereof: abnormal flow, abnormal pressure, and abnormal temperature.

[0041] The present invention also provides a pipeline online operation monitoring system based on a pipeline network simulation model, comprising:

[0042] Data acquisition module, used to: obtain real-time monitoring data of the pipe network system;

[0043] The simulation model building module is used to build a dynamic simulation model of the pipe network system based on the mass conservation equation, momentum conservation equation, and energy conservation equation in combination with the transient simulation engine;

[0044] The simulation model correction module is used to correct the dynamic simulation model of the pipe network system according to the real-time monitoring data of the pipe network system;

[0045] The prediction and warning module is used to: based on the corrected dynamic simulation model of the pipeline network system, use the survival time simulation method to predict the probability and duration of abnormal events in the pipeline network system and issue a warning.

[0046] The present invention also provides an electronic device, comprising a processor and a memory storing a computer program, wherein when the processor executes the computer program, any of the above-mentioned pipeline online operation monitoring methods based on the pipeline network simulation model is implemented.

[0047] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, it implements any of the above-mentioned pipeline online operation monitoring methods based on the pipeline network simulation model.

[0048] The present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute any of the above-mentioned pipeline online operation monitoring methods based on the pipeline network simulation model.

[0049] The present invention provides a pipeline online operation monitoring method, system, equipment and medium based on a pipeline network simulation model. In combination with the mass conservation equation, momentum conservation equation and energy conservation equation, a dynamic simulation model of the pipeline network system is comprehensively constructed through a transient simulation engine. The dynamic simulation model of the pipeline network system is corrected using real-time monitoring data. The survival time simulation method is also used to predict the probability and duration of abnormal events in the pipeline network system and issue an early warning. The method can truly reflect the real-time operating status and dynamic behavior of the pipeline network, ensure all-round monitoring and precise management of the pipeline network operation, greatly improve the operating efficiency and safety of the pipeline network system, and meet the monitoring needs under complex working conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 A schematic flow chart of a pipeline online operation monitoring method based on a pipeline network simulation model provided by the present invention.

[0052] Figure 2 A schematic structural diagram of a pipeline online operation monitoring system based on a pipeline network simulation model provided by the present invention.

[0053] Figure 3 This is a schematic structural diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments, and they should not be understood as limitations on the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In the description of the present invention, it should be understood that the terms used are only for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0055] Figure 1 A flow chart of a pipeline online operation monitoring method based on a pipeline network simulation model provided by the present invention. The execution subject of the pipeline online operation monitoring method based on a pipeline network simulation model provided by the present invention can be any applicable terminal side device or network side device, such as a pipeline online operation monitoring device based on a pipeline network simulation model.

[0056] See also Figure 1 The present invention provides a pipeline online operation monitoring method based on a pipeline network simulation model, which may include:

[0057] S110. Acquire real-time monitoring data of the pipe network system.

[0058] In one embodiment, flow sensors, pressure sensors and temperature sensors can be arranged at various key nodes of the pipe network system, including but not limited to the starting point, branch point, valve, elbow, etc. of the pipeline, so that a distributed sensor network is built into the pipe network system to collect real-time status data of the fluid in the pipe network system, including flow data, pressure data, temperature data, etc., as real-time monitoring data of the pipe network system.

[0059] S120. Based on the mass conservation equation, momentum conservation equation, and energy conservation equation, combined with a transient simulation engine, a dynamic simulation model of the pipe network system is constructed.

[0060] In one embodiment, S120 can construct a dynamic simulation model of the pipe network system by simulating the transient behavior of the fluid mechanics system in the pipe network system based on the mass conservation equation, momentum conservation equation, and energy conservation equation using a transient simulation engine using mathematical models and numerical solutions.

[0061] Among them, the mass conservation equation is used to describe the mass flow of fluid in the pipe network system, and the expression is:

[0062]

[0063] In the mass conservation equation, ρ is the fluid density of the pipe network system, v is the fluid velocity of the pipe network system, and t is the time.

[0064] The momentum conservation equation is used to describe the force balance of the fluid in the pipes of the pipe network system, taking into account the changes in fluid velocity and the various forces it is subjected to. The expression is:

[0065]

[0066] In the momentum conservation equation, ρ is the fluid density of the pipe network system, v is the fluid velocity of the pipe network system, P is the pressure of the fluid in the pipe network system, μ is the viscosity of the fluid in the pipe network system, f is the external force, and t is the time.

[0067] The energy conservation equation is used to describe the energy transfer process of the fluid in the pipeline in the pipe network system, involving heat conduction and heat exchange. The expression is:

[0068]

[0069] In the energy conservation equation, ρ is the fluid density of the pipe network system, v is the fluid velocity of the pipe network system, e is the total energy per unit volume in the pipe network system, q is the heat flux density of the pipe network system, Q is the external heat source, and t is time.

[0070] The dynamic simulation model of the pipe network system can simulate the transient behavior in the fluid mechanics system, including the flow, pressure changes and temperature distribution of the fluid.

[0071] S130. Correcting the dynamic simulation model of the pipe network system according to the real-time monitoring data of the pipe network system.

[0072] In one embodiment, S130 can calibrate the dynamic simulation model of the pipeline network system based on the real-time monitoring data of the pipeline network system using the Kalman filter algorithm and / or the particle filter algorithm to improve the authenticity of the dynamic simulation model of the pipeline network system so that it can further accurately reflect the real-time operating status and dynamic behavior of the pipeline network system.

[0073] S140. Based on the corrected dynamic simulation model of the pipe network system, using the survival time simulation method, predict the probability and duration of abnormal events in the pipe network system, and issue an early warning.

[0074] The survival time simulation method can be used to predict the transmission path and response time of gas in the pipeline network.

[0075] In one embodiment, S140 may include:

[0076] Based on the corrected dynamic simulation model of the pipe network system, the probability that the time of abnormal events in the pipe network system will be greater than a specific time is obtained through the survival function;

[0077] Based on the corrected dynamic simulation model of the pipe network system, the instantaneous probability of abnormal events occurring in the pipe network system is obtained through the fault function;

[0078] According to the probability that the time of abnormal events in the pipe network system is greater than a specific time and the instantaneous probability of abnormal events, the probability and duration of abnormal events in the pipe network system are obtained;

[0079] Based on the probability and duration of abnormal events in the pipe network system, simulation analysis is carried out, and early warnings and response suggestions are issued.

[0080] Through the survival function and failure rate function, the survival time distribution of gas behavior in the pipeline can be estimated, and the temporal probability and duration of different events (such as pressure wave transmission and flow rate mutation) can be predicted to obtain the probability and duration of abnormal events in the pipeline system.

[0081] The survival function is:

[0082] S(t)=P(T>t),

[0083] In the survival function, T is the time required for the gas in the pipeline system to reach the target point from the starting point, t is the specific time, and S(t) represents the probability that the time required for the gas in the pipeline system to reach the target point from the starting point is greater than t.

[0084] The fault function is:

[0085]

[0086] In the fault function, f(t) is the probability density of the event occurring at time t, S(t) represents the probability that the time required for the gas in the pipeline system to reach the target point from the starting point is greater than t, and λ(t) is the failure rate of the pipeline system at time t.

[0087] For different types of abnormal events in the pipe network system, when the probability of occurrence is greater than the corresponding first preset threshold and the duration is greater than the corresponding second preset threshold, corresponding warnings and response suggestions are issued. Different types of abnormal events include any one of the following or any combination thereof: abnormal flow, abnormal pressure, abnormal temperature. Response suggestions may include possible causes of the abnormality and preventive / repair measures.

[0088] This embodiment uses the survival function and the failure rate function to estimate the survival time distribution of the gas behavior in the pipeline, simulates the dynamic movement and interaction of the gas in the pipeline through the simulation engine, predicts the transmission path and reaction of the gas in the pipeline network, and generates abnormal warning signals and provides decision-making suggestions through simulation analysis. The simulation model can analyze the operation status of the pipeline network in real time. Once an abnormality is found, such as leakage, abnormal pressure or excessive temperature, it will automatically generate a warning signal and provide possible causes and recommended countermeasures. The operation status of the pipeline network, including changes in flow, pressure and temperature, can be monitored in real time. For example, potential abnormalities can be detected by comparing real-time data with preset safety thresholds. Once an abnormality is detected, a warning signal will be generated and corresponding decision-making suggestions will be provided to realize an automated fault detection and warning system. When the simulation analysis detects that the pipeline network is operating abnormally, a warning signal will be automatically generated, and the operator will be prompted to take corresponding preventive or repair measures. The system detects faults or abnormalities in the pipeline network based on the simulation analysis results. The warning notification can be, for example, sending a warning notification to the operator, providing the location, type and possible impact of the fault. The emergency response can be, for example, taking emergency response measures based on the warning information, such as closing valves, adjusting flow or performing maintenance.

[0089] The present invention provides a pipeline online operation monitoring method based on a pipeline network simulation model, which starts from real-time monitoring data collection, builds a dynamic simulation model of the pipeline network system, and then predicts dynamic behavior and analyzes the operation status, and finally realizes fault detection and early warning to form a closed loop. It can truly reflect the real-time operation status and dynamic behavior of the pipeline network, provide reliable data support for operators, ensure all-round monitoring and precise management of pipeline network operation, greatly improve the operation efficiency and safety of the pipeline network system, and meet the monitoring needs under complex working conditions (for example, the particularity of the geographical environment and the transmission pressure may cause pressure fluctuations, gas mixing, leakage and other problems).

[0090] The pipeline online operation monitoring system based on the pipeline network simulation model provided by the present invention is described below. The pipeline online operation monitoring system based on the pipeline network simulation model described below and the pipeline online operation monitoring method based on the pipeline network simulation model described above can refer to each other.

[0091] See also Figure 2 The present invention provides a pipeline online operation monitoring system based on a pipeline network simulation model, which may include:

[0092] Data acquisition module, used to: obtain real-time monitoring data of the pipe network system;

[0093] The simulation model building module is used to build a dynamic simulation model of the pipe network system based on the mass conservation equation, momentum conservation equation, and energy conservation equation in combination with the transient simulation engine;

[0094] The simulation model correction module is used to correct the dynamic simulation model of the pipe network system according to the real-time monitoring data of the pipe network system;

[0095] The prediction and warning module is used to: based on the corrected dynamic simulation model of the pipeline network system, use the survival time simulation method to predict the probability and duration of abnormal events in the pipeline network system and issue a warning.

[0096] Figure 3 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 3 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820 and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to perform the following steps:

[0097] Obtain real-time monitoring data of the pipe network system;

[0098] Based on the mass conservation equation, momentum conservation equation, and energy conservation equation, combined with the transient simulation engine, a dynamic simulation model of the pipe network system is constructed;

[0099] According to the real-time monitoring data of the pipe network system, the dynamic simulation model of the pipe network system is corrected;

[0100] Based on the corrected dynamic simulation model of the pipeline network system, the survival time simulation method is used to predict the probability and duration of abnormal events in the pipeline network system and issue an early warning.

[0101] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0102] On the other hand, the present invention further provides a computer program product, the computer program product comprising a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, the computer can perform the following steps:

[0103] Obtain real-time monitoring data of the pipe network system;

[0104] Based on the mass conservation equation, momentum conservation equation, and energy conservation equation, combined with the transient simulation engine, a dynamic simulation model of the pipe network system is constructed;

[0105] According to the real-time monitoring data of the pipe network system, the dynamic simulation model of the pipe network system is corrected;

[0106] Based on the corrected dynamic simulation model of the pipeline network system, the survival time simulation method is used to predict the probability and duration of abnormal events in the pipeline network system and issue an early warning.

[0107] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented to perform the following steps when executed by a processor:

[0108] Obtain real-time monitoring data of the pipe network system;

[0109] Based on the mass conservation equation, momentum conservation equation, and energy conservation equation, combined with the transient simulation engine, a dynamic simulation model of the pipe network system is constructed;

[0110] According to the real-time monitoring data of the pipe network system, the dynamic simulation model of the pipe network system is corrected;

[0111] Based on the corrected dynamic simulation model of the pipeline network system, the survival time simulation method is used to predict the probability and duration of abnormal events in the pipeline network system and issue an early warning.

[0112] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0113] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0114] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A pipeline online operation monitoring method based on a pipeline network simulation model, characterized in that: include: Obtain real-time monitoring data of the pipe network system; Based on the mass conservation equation, momentum conservation equation, and energy conservation equation, combined with the transient simulation engine, a dynamic simulation model of the pipe network system is constructed; According to the real-time monitoring data of the pipe network system, the dynamic simulation model of the pipe network system is corrected; Based on the corrected dynamic simulation model of the pipeline network system, the survival time simulation method is used to predict the probability and duration of abnormal events in the pipeline network system and issue an early warning.

2. The pipeline online operation monitoring method based on the pipeline network simulation model according to claim 1 is characterized in that: The dynamic simulation model of the pipe network system is constructed based on the mass conservation equation, momentum conservation equation, and energy conservation equation in combination with a transient simulation engine, including: Based on the mass conservation equation, momentum conservation equation, and energy conservation equation, a transient simulation engine is used to simulate the transient behavior of the fluid mechanics system in the pipe network system using mathematical models and numerical solutions to construct a dynamic simulation model of the pipe network system.

3. The pipeline online operation monitoring method based on the pipeline network simulation model according to claim 1 is characterized in that: The mass conservation equation is: In the mass conservation equation, ρ is the fluid density of the pipe network system, v is the fluid velocity of the pipe network system, and t is time; and / or, The momentum conservation equation is: In the momentum conservation equation, ρ is the fluid density of the pipe network system, v is the fluid velocity of the pipe network system, P is the pressure of the fluid in the pipe network system, μ is the viscosity of the fluid in the pipe network system, f is the external force, and t is the time; and / or, The energy conservation equation is: In the energy conservation equation, ρ is the fluid density of the pipe network system, v is the fluid velocity of the pipe network system, e is the total energy per unit volume in the pipe network system, q is the heat flux density of the pipe network system, Q is the external heat source, and t is time.

4. The pipeline online operation monitoring method based on the pipeline network simulation model according to any one of claims 1 to 3 is characterized in that: The method of correcting the dynamic simulation model of the pipe network system according to the real-time monitoring data of the pipe network system includes: According to the real-time monitoring data of the pipe network system, the dynamic simulation model of the pipe network system is corrected using the Kalman filter algorithm and / or the particle filter algorithm.

5. The pipeline online operation monitoring method based on the pipeline network simulation model according to any one of claims 1 to 3 is characterized in that: The dynamic simulation model of the pipe network system after correction is used to predict the probability and duration of abnormal events in the pipe network system and issue an early warning, including: Based on the corrected dynamic simulation model of the pipe network system, the probability that the time of abnormal events in the pipe network system will be greater than a specific time is obtained through the survival function; Based on the corrected dynamic simulation model of the pipe network system, the instantaneous probability of abnormal events occurring in the pipe network system is obtained through the fault function; According to the probability that the time of abnormal events in the pipe network system is greater than a specific time and the instantaneous probability of abnormal events, the probability and duration of abnormal events in the pipe network system are obtained; Based on the probability and duration of abnormal events in the pipe network system, simulation analysis is carried out, and early warnings and response suggestions are issued.

6. The pipeline online operation monitoring method based on the pipeline network simulation model according to claim 5 is characterized in that: The survival function is: S(t)=P(T>t), In the survival function, T is the time required for the gas in the pipe network system to reach the target point from the starting point, t is a specific time, and S(t) represents the probability that the time required for the gas in the pipe network system to reach the target point from the starting point is greater than t; and / or, The fault function is: In the fault function, f(t) is the probability density of the event occurring at time t, S(t) represents the probability that the time required for the gas in the pipeline system to reach the target point from the starting point is greater than t, and λ(t) is the failure rate of the pipeline system at time t.

7. The pipeline online operation monitoring method based on the pipeline network simulation model according to claim 5 is characterized in that: The simulation analysis is performed based on the probability and duration of abnormal events in the pipe network system, and early warnings and response suggestions are issued, including: For different types of abnormal events in the pipe network system, when the probability of occurrence is greater than the corresponding first preset threshold and the duration is greater than the corresponding second preset threshold, corresponding warnings and response suggestions are issued, where different types of abnormal events include any one of the following or any combination thereof: abnormal flow, abnormal pressure, and abnormal temperature.

8. A pipeline online operation monitoring system based on a pipeline network simulation model, characterized in that: include: Data acquisition module, used to: obtain real-time monitoring data of the pipe network system; The simulation model building module is used to build a dynamic simulation model of the pipe network system based on the mass conservation equation, momentum conservation equation, and energy conservation equation in combination with the transient simulation engine; The simulation model correction module is used to correct the dynamic simulation model of the pipe network system according to the real-time monitoring data of the pipe network system; The prediction and warning module is used to: based on the corrected dynamic simulation model of the pipeline network system, use the survival time simulation method to predict the probability and duration of abnormal events in the pipeline network system and issue a warning.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the pipeline online operation monitoring method based on the pipeline network simulation model as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the pipeline online operation monitoring method based on the pipeline network simulation model as described in any one of claims 1 to 7 is implemented.

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