Comprehensive operation management method and system for safe operation of pipeline

Abstract

The invention discloses a pipeline safe operation comprehensive operation management method and system, and relates to the technical field of pipeline safe operation management. According to the pipeline safe operation comprehensive operation management method, pipeline state time sequence data of each monitoring position point of a to-be-monitored pipeline are obtained in real time, a pipeline state time sequence feature set is analyzed, judgment and analysis are conducted on the pipeline state time sequence feature set and a preset time sequence feature abnormal interval, and preset operation management measures are taken according to judgment and analysis results. Various key parameters of the pipeline, such as pressure, flow, vibration frequency, corrosion rate, surface temperature and the like in the pipeline are monitored in real time and comprehensively analyzed, and the running state of the pipeline is comprehensively evaluated from multiple dimensions, so that potential risks in running of the pipeline can be accurately identified, early warning is performed before a problem occurs, and the safety of the pipeline is improved. By timely acquiring and analyzing the pipeline state time sequence data, the abnormity of the running states such as pressure stabilization, corrosion resistance and bearing of the pipeline can be quickly identified.

Description

Technical Field

[0001] The present invention relates to the technical field of pipeline safe operation management, and in particular to a pipeline safe operation integrated operation management method and system. Background Art

[0002] Natural gas pipelines are an important part of the modern energy transmission system and are widely used in urban and industrial fields to transport natural gas efficiently and safely. Since natural gas pipelines involve long-distance transportation of energy, any malfunction or failure may bring serious safety hazards and affect people's lives, social stability and environmental protection. Therefore, the safe operation of natural gas pipelines has always been a focus of attention in the energy industry.

[0003] However, in actual operation, natural gas pipelines face a variety of potential risks, which can easily lead to abnormal operation of pipelines, and even cause serious consequences such as rupture and leakage. With the continuous changes in the pipeline operation environment and use conditions, traditional pipeline monitoring technology has been unable to meet the growing demand for safety assurance. More importantly, it is often difficult to detect pipeline anomalies in a timely manner, which delays the timing of repair and emergency response, increases maintenance costs and safety hazards,

[0004] In addition, the limitations of the existing technology include at least the following problems. First, the traditional pipeline monitoring method often only focuses on a single operating parameter, such as pressure, flow or temperature, and most of them adopt a simple alarm mechanism based on static thresholds. Although this method can provide a preliminary warning for abnormal situations, it lacks a comprehensive assessment of the comprehensive operating status of the pipeline and is difficult to reflect the actual health status of the pipeline under various working conditions in real time. For example, when the pipeline faces complex environmental changes, such as temperature fluctuations, soil changes or multiple load effects, such as stable pressure operation, corrosion-resistant operation and bearing capacity, the existing monitoring system fails to capture subtle changes under different working conditions in a timely manner, making it difficult to detect potential hidden dangers or abnormalities early. This not only increases the safety risk of pipeline operation, but also leads to over-reliance on manual inspections and lack of real-time intervention. In the case of more serious failures, the pipeline may occur. Therefore, the existing technology lacks a comprehensive analysis of multi-dimensional and time-series data of pipeline status, and fails to provide an accurate and dynamic risk assessment system in practical applications, which greatly reduces the efficiency of pipeline maintenance and operation management, and easily leads to cost waste and safety hazards of the pipeline system. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides a comprehensive operation management method and system for pipeline safe operation, which solves the problems of single parameter monitoring, lack of comprehensive evaluation and insufficient real-time intervention in the prior art.

[0006] To achieve the above purpose, the present invention is implemented through the following technical solutions: a comprehensive operation management method for pipeline safe operation, comprising the following steps: real-time acquisition of pipeline status time series data of each monitoring position point of the pipeline to be monitored, and preprocessing, the pipeline status time series data including pipeline operating condition time series data, pipeline environment time series data, and pipeline structure time series data; comprehensive analysis of the preprocessed pipeline status time series data of each monitoring position point of the pipeline to be monitored, to obtain a pipeline status time series feature set of each monitoring position point of the pipeline to be monitored, including a pipeline pressure stabilization operation time series index, a pipeline corrosion resistance operation time series index, and a pipeline load-bearing operation time series index; the pipeline status time series feature set of each monitoring position point of the pipeline to be monitored is respectively judged and analyzed with a preset time series feature abnormal interval, and preset operation management measures are taken according to the judgment and analysis results.

[0007] Furthermore, the pipeline operating condition time series data includes the in-pipe pressure value, in-pipe flow value, and in-pipe vibration frequency value at several time points. The specific steps for obtaining the pipeline pressure stabilization operation timing index of each monitoring position point of the pipeline to be monitored are as follows: based on the pipeline operating condition time series data of each monitoring position point of the pipeline to be monitored, respectively analyze the pipeline operating condition time series feature set of each monitoring position point of the pipeline to be monitored, including the in-pipe pressure time series mean, the in-pipe pressure time series change, the in-pipe flow time series change, and the in-pipe vibration frequency time series mean; obtain the in-pipe pressure parameter value, the maximum allowable value of the in-pipe pressure, the in-pipe vibration frequency parameter value, and the maximum allowable value of the in-pipe vibration frequency of each monitoring position point of the pipeline to be monitored, and perform a comprehensive analysis in combination with the pipeline operating condition time series feature set of the corresponding monitoring position point to obtain the pipeline pressure stabilization operation timing index of each monitoring position point of the pipeline to be monitored.

[0008] Furthermore, the specific formula for calculating the pipeline pressure stabilization operation timing index of each monitoring position point of the pipeline to be monitored is as follows:

[0009] Among them, WyY i is the pipeline pressure stabilization operation timing index of the i-th monitoring position of the pipeline to be monitored, GyJ i is the time series mean of the pressure inside the pipeline at the i-th monitoring point to be monitored, GyC i is the pressure parameter value in the i-th monitoring position of the pipeline to be monitored, GnY i is the maximum allowable value of the internal pressure of the i-th monitoring point in the pipeline to be monitored, is the pressure influence coefficient stored in the database, LbH i is the time series change of the flow rate in the i-th monitoring position of the pipeline to be monitored, YbH i is the time series variation of the pressure in the i-th monitoring position of the pipeline to be monitored, is the flow-pressure coupling influence coefficient stored in the database, GzJ i GzC is the time series mean of the vibration frequency in the i-th monitoring position of the pipeline to be monitored, i is the parameter value of the vibration frequency in the i-th monitoring position of the pipeline to be monitored, GnZ i is the maximum allowable value of the vibration frequency in the pipe at the i-th monitoring position of the pipeline to be monitored, is the vibration influence coefficient stored in the database, i = 1, 2, 3, …, i0, i0 is the number of monitoring position points.

[0010] Furthermore, the pipeline environment time series data includes pipeline corrosion rate, pipeline surface temperature value, and soil resistivity value within a set range at several time points. The specific steps for obtaining the pipeline corrosion resistance operation timing index of each monitoring position point of the pipeline to be monitored are as follows: based on the pipeline environment time series data of each monitoring position point of the pipeline to be monitored, respectively analyze the pipeline environment time series feature set of each monitoring position point of the pipeline to be monitored, including the pipeline corrosion rate time series mean, the pipeline surface temperature time series mean, and the soil resistivity time series mean within the set range; obtain the pipeline corrosion rate parameter value, the maximum allowable value of the pipeline corrosion rate, the maximum allowable value of the pipeline surface temperature, and the maximum allowable value of the soil resistivity within the set range of each monitoring position point of the pipeline to be monitored, and perform a comprehensive analysis in combination with the pipeline environment time series feature set of the corresponding monitoring position point to obtain the pipeline corrosion resistance operation timing index of each monitoring position point of the pipeline to be monitored.

[0011] Furthermore, the specific formula for calculating the pipeline corrosion resistance operation timing index of each monitoring position point of the pipeline to be monitored is as follows:

[0012] Among them, NfY i GfJ is the pipeline corrosion resistance operation timing index of the i-th monitoring position of the pipeline to be monitored, i is the time series mean of the pipeline corrosion rate at the i-th monitoring point of the pipeline to be monitored, GfZ i is the maximum allowable value of pipeline corrosion rate at the i-th monitoring position of the pipeline to be monitored, e is a natural constant, GwJ i is the time series mean of the pipeline surface temperature at the i-th monitoring point of the pipeline to be monitored, is the surface temperature influence coefficient stored in the database, is the surface temperature adjustment coefficient stored in the database, DzL i is the time series mean of the pipeline corrosion rate at the i-th monitoring point of the pipeline to be monitored, GfZ i is the soil resistivity time series mean within the set range of the i-th monitoring position of the pipeline to be monitored, DzZ iGfC is the maximum allowable soil resistivity within the set range of the i-th monitoring position of the pipeline to be monitored, i is the pipeline corrosion rate parameter value of the i-th monitoring position of the pipeline to be monitored, GwZ i is the maximum allowable value of the pipeline surface temperature at the i-th monitoring point of the pipeline to be monitored, is the temperature response influence coefficient stored in the database, is the soil conductivity influence coefficient stored in the database, i=1, 2, 3,…, i0, i0 is the number of monitoring locations.

[0013] Furthermore, the pipeline structure time series data includes internal pipe stress values, external pipe stress values, pipeline fatigue coefficients, and pipeline tensile strength values ​​at several time points. The specific steps for obtaining the pipeline load-bearing operation timing index of each monitoring position point of the pipeline to be monitored are as follows: based on the pipeline structure time series data of each monitoring position point of the pipeline to be monitored, respectively analyze the pipeline structure time series feature set of each monitoring position point of the pipeline to be monitored, including the internal pipe stress time series mean, the external pipe stress time series mean, the pipeline fatigue index, and the pipeline tensile strength time series mean; obtain the maximum allowable value of the internal pipe stress, the maximum allowable value of the external pipe stress, the maximum allowable value of the pipeline fatigue coefficient, and the maximum allowable value of the pipeline tensile strength of each monitoring position point of the pipeline to be monitored, and perform a comprehensive analysis in combination with the pipeline structure time series feature set of the corresponding monitoring position point to obtain the pipeline load-bearing operation timing index of each monitoring position point of the pipeline to be monitored.

[0014] Furthermore, the specific formula for calculating the pipeline load operation timing index of each monitoring position point of the pipeline to be monitored is as follows:

[0015] Among them, CzS i is the pipeline load operation timing index of the i-th monitoring position of the pipeline to be monitored, NyL i is the time series mean of the pressure inside the pipeline at the i-th monitoring point to be monitored, NyC i is the maximum allowable value of the internal stress of the i-th monitoring point in the pipeline to be monitored, WyL i is the time series mean of the external stress of the i-th monitoring position of the pipeline to be monitored, WyC i is the maximum allowable value of the external stress of the i-th monitoring point of the pipeline to be monitored, is the stress influence coefficient stored in the database, PzS i is the pipeline fatigue index of the i-th monitoring position of the pipeline to be monitored, PzC i is the maximum allowable value of the pipeline fatigue coefficient at the i-th monitoring position of the pipeline to be monitored, is the fatigue influence coefficient stored in the database, KqD iis the time series mean of the tensile strength of the pipeline at the i-th monitoring position of the pipeline to be monitored, KqC i is the maximum allowable value of the pipeline tensile strength at the i-th monitoring point of the pipeline to be monitored, is the tensile strength influence coefficient stored in the database, i = 1, 2, 3, …, i0, i0 is the number of monitoring positions.

[0016] Furthermore, the specific steps of judging and analyzing the pipeline state time series feature set of each monitoring position point of the pipeline to be monitored respectively with the preset time series feature abnormal interval are as follows: judging and analyzing the pipeline pressure stabilization operation timing index of each monitoring position point of the pipeline to be monitored respectively with the preset pressure stabilization operation abnormal interval, and marking the pressure stabilization operation abnormal monitoring point for the monitoring position point whose pipeline pressure stabilization operation timing index is within the pressure stabilization operation abnormal interval; judging and analyzing the pipeline corrosion resistance operation timing index of each monitoring position point of the pipeline to be monitored respectively with the preset corrosion resistance operation abnormal interval, and marking the corrosion resistance operation abnormal monitoring point for the monitoring position point whose pipeline corrosion resistance operation timing index is within the corrosion resistance operation abnormal interval; judging and analyzing the pipeline load-bearing operation timing index of each monitoring position point of the pipeline to be monitored respectively with the preset load-bearing operation abnormal interval, and marking the load-bearing operation abnormal monitoring point for the monitoring position point whose pipeline load-bearing operation timing index is within the load-bearing operation abnormal interval.

[0017] Furthermore, the specific steps for taking preset operational management measures based on the judgment and analysis results are as follows: for voltage stabilization operation abnormality monitoring points, send voltage stabilization operation abnormality alarms to relevant staff, and take preset voltage stabilization abnormality management measures; for corrosion resistance operation abnormality monitoring points, send corrosion resistance operation abnormality alarms to relevant staff, and take preset corrosion resistance abnormality management measures; for load-bearing operation abnormality monitoring points, send load-bearing operation abnormality alarms to relevant staff, and take preset load-bearing abnormality management measures.

[0018] The integrated operation and management system for safe operation of pipelines comprises: a time series data acquisition unit, which is used to acquire the pipeline state time series data of each monitoring position point of the pipeline to be monitored in real time and perform preprocessing, wherein the pipeline state time series data comprises pipeline working condition time series data, pipeline environment time series data and pipeline structure time series data; a time series feature analysis unit, which is used to perform comprehensive analysis on the pipeline state time series data of each monitoring position point of the pipeline to be monitored after preprocessing, and obtain the pipeline state time series feature set of each monitoring position point of the pipeline to be monitored, including the pipeline pressure stabilization operation time series index, the pipeline corrosion resistance operation time series index and the pipeline load-bearing operation time series index; a judgment management unit, which is used to judge and analyze the pipeline state time series feature set of each monitoring position point of the pipeline to be monitored with a preset time series feature abnormal interval, and take preset operation and management measures according to the judgment and analysis results.

[0019] The present invention has the following beneficial effects:

[0020] (1) The comprehensive operation management method for pipeline safe operation monitors the key parameters of the pipeline in real time, such as the pressure, flow, vibration frequency, corrosion rate, surface temperature, etc., and conducts comprehensive analysis to comprehensively evaluate the operation status of the pipeline from multiple dimensions, so as to accurately identify the potential risks in the pipeline operation and issue early warnings before the problems occur. By timely acquiring and analyzing the pipeline status time series data, the abnormalities of the pipeline operation status such as pressure stability, corrosion resistance and load-bearing can be quickly identified, and then the alarm can be triggered and the corresponding preset management measures can be taken. This predictive early warning mechanism can greatly improve the safety of pipeline operation and reduce the occurrence of accidents caused by equipment failure or improper operation. For example, in the case of abnormal monitoring points of pressure stability operation, an alarm can be sent in time and pressure stability management measures can be taken to prevent major accidents such as rupture or leakage caused by unstable pressure in the pipeline. Compared with the traditional method of relying solely on manual inspection or post-processing, the data-driven real-time monitoring and early warning mechanism greatly improves the safety and maintenance efficiency of the pipeline and effectively reduces the safety risks of pipeline management.

[0021] (2) The comprehensive operation management method for safe operation of pipelines can accurately identify abnormal points of pipelines in real time by comprehensively evaluating the health status of pipelines, thereby reducing major failures and high maintenance costs caused by failure to handle abnormalities in a timely manner. Traditional pipeline monitoring methods usually rely on regular inspections and manual patrols, which not only have the risk of long inspection cycles, low efficiency, and missed hidden dangers, but may also lead to increased maintenance costs after equipment failures. Compared with traditional pipeline monitoring methods, this method can monitor the operating status of each monitoring point in real time and quickly locate potential fault areas through precise data analysis. For example, when an abnormality occurs in the corrosion-resistant operation of the pipeline, an alarm will be immediately issued to relevant staff, and they will be guided to take targeted measures, such as strengthening anti-corrosion treatment or local repair. Through this precise fault warning and dynamic management, the efficiency of pipeline operation management has been significantly improved. The maintenance team can take effective measures based on the specific data fed back by the system, rather than waiting for equipment failures before repairing them, thereby reducing operating costs and improving maintenance efficiency.

[0022] (3) The comprehensive operation management method for safe operation of pipelines can effectively reduce unnecessary losses during pipeline operation and energy waste through comprehensive evaluation and precise monitoring of pipeline health status, and effectively control the environmental impact of pipelines. Factors such as pipeline corrosion, vibration, and abnormal temperature often lead to reduced long-term operating efficiency of pipelines, increased energy consumption, and aggravated environmental pollution. By real-time monitoring of key operating indicators such as pipeline corrosion resistance, voltage stabilization, and load-bearing capacity, abnormal fluctuations in operation can be discovered in a timely manner, and corresponding management measures can be taken to reduce environmental problems caused by improper operation. For example, the management measures for abnormal operation of corrosion resistance can immediately take remedial measures when corrosion occurs in the pipeline to avoid further leakage or environmental pollution. This not only improves the operating efficiency of the pipeline, but also avoids environmental pollution caused by pipeline failures, thereby enhancing the sustainability of the pipeline system. In addition, if an abnormality occurs during the load-bearing operation of the pipeline, the load will be automatically adjusted to reduce energy waste caused by overload, thereby ensuring the environmental protection and efficiency of pipeline operation.

[0023] (4) The pipeline safety operation integrated operation management system can realize dynamic, real-time monitoring and intelligent analysis of the pipeline operation status by introducing a time series data acquisition unit, a time series feature analysis unit and a judgment management unit. Compared with the traditional pipeline monitoring method, the system can acquire and process multi-dimensional time series data such as pipeline working conditions, environment and structure in real time, so as to realize accurate assessment and prediction of the pipeline health status. By comprehensively analyzing various time series data and comparing them with the preset abnormal intervals, the system can issue an early warning before the problem occurs and take corresponding management measures in time, avoiding the limitations of relying on manual inspections and post-repair in the past, thereby improving the intelligence of the system, effectively reducing manual intervention, reducing the possibility of human errors, ensuring the stability and reliability of pipeline operation, and improving the level of automated management of pipelines, ultimately achieving the purpose of reducing operating costs, extending pipeline service life and ensuring public safety.

[0024] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a flow chart of the comprehensive operation management method for pipeline safe operation of the present invention.

[0026] Figure 2 This is a flowchart of the specific steps of obtaining the natural gas pipeline corrosion resistance operation timing index of each monitoring position point of the natural gas pipeline to be monitored in the comprehensive operation management method for pipeline safety operation of the present invention.

[0027] Figure 3 This is an example diagram of pipeline structure time series data at a certain monitoring location in the comprehensive operation management method for pipeline safety operation of the present invention.

[0028] Figure 4 This is a block diagram of the comprehensive operation and management system for pipeline safety operation of the present invention. DETAILED DESCRIPTION

[0029] See also Figure 1 The embodiment of the present invention provides a technical solution: a comprehensive operation management method for pipeline safe operation, comprising the following steps: obtaining the natural gas pipeline state time series data of each monitoring position point of the natural gas pipeline to be monitored in real time and performing preprocessing, the natural gas pipeline state time series data including the natural gas pipeline working condition time series data, the natural gas pipeline environment time series data, and the natural gas pipeline structure time series data; performing comprehensive analysis on the natural gas pipeline state time series data of each monitoring position point of the natural gas pipeline to be monitored after preprocessing, and obtaining the natural gas pipeline state time series feature set of each monitoring position point of the natural gas pipeline to be monitored, including the natural gas pipeline pressure stabilization operation time series index, the natural gas pipeline corrosion resistance operation time series index, and the natural gas pipeline load operation time series index; performing judgment and analysis on the natural gas pipeline state time series feature set of each monitoring position point of the natural gas pipeline to be monitored and the preset time series feature abnormal interval, and taking preset operation management measures according to the judgment and analysis results.

[0030] Specifically, the natural gas pipeline operating condition time series data includes the in-pipe pressure value, in-pipe flow value, and in-pipe vibration frequency value at several time points. The specific steps for obtaining the natural gas pipeline stable pressure operation timing index at each monitoring position point of the natural gas pipeline to be monitored are as follows: based on the natural gas pipeline operating condition time series data at each monitoring position point of the natural gas pipeline to be monitored, the natural gas pipeline operating condition time series feature set of each monitoring position point of the natural gas pipeline to be monitored is analyzed separately, including the in-pipe pressure time series mean, the in-pipe pressure time series change, the in-pipe flow time series change, and the in-pipe vibration frequency time series mean; the in-pipe pressure parameter value, the maximum allowable value of the in-pipe pressure, the in-pipe vibration frequency parameter value, and the maximum allowable value of the in-pipe vibration frequency are obtained for each monitoring position point of the natural gas pipeline to be monitored, and a comprehensive analysis is performed in combination with the natural gas pipeline operating condition time series feature set of the corresponding monitoring position point to obtain the natural gas pipeline stable pressure operation timing index at each monitoring position point of the natural gas pipeline to be monitored.

[0031] Among them, the pressure value inside the pipe can be measured and obtained through pressure sensors. These sensors can be differential pressure sensors or absolute pressure sensors, which are installed at key nodes of the natural gas pipeline and transmit the measurement results to the central database through the data acquisition system.

[0032] The flow value in the pipe can be measured and obtained by a flow meter (such as an electromagnetic flow meter, a vortex flow meter or an ultrasonic flow meter). The flow meter will transmit the data to the database for storage based on the flow velocity and flow characteristics of the fluid in the natural gas pipeline.

[0033] The vibration frequency value inside the pipe can be measured and obtained through vibration sensors (such as accelerometers or fiber optic sensors). The vibration sensor will capture the vibration amplitude and frequency of the natural gas pipeline and send the data to the data acquisition system for recording and analysis.

[0034] The time series variation of the pressure inside the pipe is obtained by calculating the pressure variation values ​​inside the pipe at adjacent time points and performing sum analysis.

[0035] The time series variation of the flow rate in the pipe is obtained by calculating the change values ​​of the flow rate in the pipe at adjacent time points and performing sum analysis.

[0036] The maximum allowable value of the pressure in the pipeline can be obtained by checking the design documents of the natural gas pipeline or querying the relevant set values ​​in the data acquisition system.

[0037] The maximum allowable value of the vibration frequency in the pipe can be obtained from the design specifications of the natural gas pipeline or calculated by the vibration analysis model.

[0038] The parameter value of the in-pipe pressure is obtained by performing mean analysis on the historical in-pipe pressure values ​​at several historical time points.

[0039] The parameter value of the vibration frequency in the pipe is obtained by performing mean analysis on the historical vibration frequency values ​​in the pipe at several historical time points.

[0040] The specific formula for calculating the natural gas pipeline pressure stabilization operation timing index at each monitoring location of the natural gas pipeline to be monitored is as follows:

[0041] Among them, WyY i is the pipeline pressure stabilization operation timing index of the i-th monitoring position of the pipeline to be monitored, GyJ i is the time series mean of the pressure inside the pipeline at the i-th monitoring point to be monitored, GyC i is the pressure parameter value in the i-th monitoring position of the pipeline to be monitored, GnY i is the maximum allowable value of the internal pressure of the i-th monitoring point in the pipeline to be monitored, is the pressure influence coefficient stored in the database, LbH i is the time series change of the flow rate in the i-th monitoring position of the pipeline to be monitored, YbH i is the time series variation of the pressure in the i-th monitoring position of the pipeline to be monitored, is the flow-pressure coupling influence coefficient stored in the database, GzJ i GzC is the time series mean of the vibration frequency in the i-th monitoring position of the pipeline to be monitored, iis the parameter value of the vibration frequency in the i-th monitoring position of the pipeline to be monitored, GnZ i is the maximum allowable value of the vibration frequency in the pipe at the i-th monitoring position of the pipeline to be monitored, is the vibration influence coefficient stored in the database, i = 1, 2, 3, …, i0, i0 is the number of monitoring position points.

[0042] It should be explained that the pressure influence coefficient stored in the database , flow-pressure coupling influence coefficient , Vibration influence coefficient The specific acquisition steps are as follows: first, extract the historical data of pressure, flow, vibration, etc. at each monitoring location in the database; for the pressure influence coefficient, select the pressure data of each monitoring point of the natural gas pipeline from the database, and calculate the influence of pressure fluctuation on the operation stability of the natural gas pipeline by analyzing the change amplitude and fluctuation of the pressure data. For example, the pressure change rate or change frequency can be used to estimate the influence coefficient; for the flow-pressure coupling influence coefficient, extract the joint data of pressure and flow from the database, and obtain the coupling influence coefficient of flow and pressure by calculating their correlation and synchronous fluctuation degree, which reflects the coupling effect of flow fluctuation on pressure change; for the vibration influence coefficient, select the vibration frequency and vibration amplitude data of the natural gas pipeline monitoring point from the database, and obtain the vibration influence coefficient by analyzing the intensity and frequency changes of the vibration. This coefficient reflects the influence of vibration on the stability of the natural gas pipeline.

[0043] In this implementation plan, through real-time data collection and multi-dimensional analysis of the pipeline, the health status and operation risks of the pipeline can be comprehensively and accurately evaluated. First, the pipeline status data (such as pressure, flow, vibration frequency, etc. in the pipe) are monitored in real time through pressure sensors, flow meters and vibration sensors, and various time series characteristic values ​​are calculated in combination with historical data to provide accurate time series indexes for the pipeline's pressure-stabilizing operation, corrosion-resistant operation and load-bearing operation. The calculation of these indexes not only takes into account the specific working conditions of each monitoring location, but also introduces dynamic parameters for different working conditions to ensure that the data is more comprehensive and accurate. By comparing these data with the preset abnormal intervals, the system can It can issue an alarm in time before potential problems occur in the pipeline and trigger corresponding operational management measures, thereby effectively reducing the risk of sudden failures. In addition, the comprehensive use of pressure influence coefficient, flow-pressure coupling influence coefficient and vibration influence coefficient makes this method more adaptable and accurate. Through in-depth analysis of historical monitoring data, it can accurately quantify the impact of pressure, flow and vibration fluctuations on pipeline stability, and provide more dimensional data support for pipeline safety. This comprehensive analysis and intelligent judgment method not only improves the operation efficiency of the pipeline, but also reduces the reliance on manual inspections and reduces the risks caused by human omissions or the lag of traditional methods.

[0044] Specifically, Figure 2 As shown, the natural gas pipeline environmental time series data includes the natural gas pipeline corrosion rate, the natural gas pipeline surface temperature value, and the soil resistivity value within a set range at several time points. The specific steps for obtaining the natural gas pipeline corrosion resistance operation time series index at each monitoring position point of the natural gas pipeline to be monitored are as follows: based on the natural gas pipeline environmental time series data at each monitoring position point of the natural gas pipeline to be monitored, the natural gas pipeline environmental time series feature set at each monitoring position point of the natural gas pipeline to be monitored is analyzed respectively, including the natural gas pipeline corrosion rate time series mean, the natural gas pipeline surface temperature time series mean, and the soil resistivity time series mean within the set range; the natural gas pipeline corrosion rate parameter value, the natural gas pipeline corrosion rate maximum allowable value, the natural gas pipeline surface temperature maximum allowable value, and the soil resistivity maximum allowable value within the set range are obtained at each monitoring position point of the natural gas pipeline to be monitored, and a comprehensive analysis is performed in combination with the natural gas pipeline environmental time series feature set of the corresponding monitoring position point to obtain the natural gas pipeline corrosion resistance operation time series index at each monitoring position point of the natural gas pipeline to be monitored.

[0045] Among them, the corrosion rate of the natural gas pipeline can be measured and obtained by electrochemical sensors (such as current induction sensors or resistance sensors). The sensors can be installed on the surface of the natural gas pipeline to measure the corrosion current or resistance changes in real time, thereby calculating the corrosion rate.

[0046] The surface temperature of the natural gas pipeline can be measured by temperature sensors (such as thermocouples or RTD sensors). These sensors will record the temperature of the natural gas pipeline surface in real time and send the data to the data acquisition system for storage and analysis.

[0047] The soil resistivity value can be measured by a resistivity probe (such as the four-probe method or the two-pole probe method). The sensor is buried in the soil to measure the resistivity of the soil.

[0048] The parameter value of natural gas pipeline corrosion rate is obtained by averaging the historical natural gas pipeline corrosion rates at several historical time points.

[0049] The maximum allowable corrosion rate of the natural gas pipeline can be obtained by checking the design documents of the natural gas pipeline or querying the relevant set values ​​in the data acquisition system.

[0050] The maximum allowable value of the natural gas pipeline surface temperature is set by the natural gas pipeline design engineer based on the ambient temperature range of the natural gas pipeline, the temperature tolerance of the natural gas pipeline material and safety standards.

[0051] The maximum allowable value of soil resistivity is set during the design phase, taking into account factors such as soil type, humidity, temperature, etc. to ensure the safe operation of the natural gas pipeline.

[0052] The specific formula for calculating the corrosion resistance operation timing index of the natural gas pipeline at each monitoring location of the natural gas pipeline to be monitored is as follows:

[0053] Among them, NfY i GfJ is the pipeline corrosion resistance operation timing index of the i-th monitoring position of the pipeline to be monitored, i is the time series mean of the pipeline corrosion rate at the i-th monitoring point of the pipeline to be monitored, GfZ i is the maximum allowable value of pipeline corrosion rate at the i-th monitoring position of the pipeline to be monitored, e is a natural constant, GwJ i is the time series mean of the pipeline surface temperature at the i-th monitoring point of the pipeline to be monitored, is the surface temperature influence coefficient stored in the database, is the surface temperature adjustment coefficient stored in the database, DzL i is the time series mean of the pipeline corrosion rate at the i-th monitoring point of the pipeline to be monitored, GfZ i is the soil resistivity time series mean within the set range of the i-th monitoring position of the pipeline to be monitored, DzZ i GfC is the maximum allowable soil resistivity within the set range of the i-th monitoring position of the pipeline to be monitored, i is the pipeline corrosion rate parameter value of the i-th monitoring position of the pipeline to be monitored, GwZ i is the maximum allowable value of the pipeline surface temperature at the i-th monitoring point of the pipeline to be monitored, is the temperature response influence coefficient stored in the database, is the soil conductivity influence coefficient stored in the database, i = 1, 2, 3, …, i0, i0 is the number of monitoring locations.

[0054] It should be explained that the surface temperature influence coefficient stored in the database , surface temperature adjustment coefficient The specific acquisition steps are as follows: for the surface temperature influence coefficient, the historical data of the surface temperature and external temperature of the natural gas pipeline stored in the database are extracted, and then these data are used to calculate the influence coefficient of temperature change on the natural gas pipeline. Specifically, by statistically analyzing the correlation between the surface temperature change of the natural gas pipeline and the ambient temperature fluctuation, the influence of temperature fluctuation on the operation stability of the natural gas pipeline is analyzed, and the response coefficient of the influence of surface temperature on the operation of the natural gas pipeline is obtained, that is, it is determined by regression analysis or experimental data. ; For the surface temperature adjustment coefficient, the historical data of the natural gas pipeline surface temperature and the external ambient temperature adjustment coefficient are extracted from the database, and the adjustment effect of the ambient temperature change on the natural gas pipeline surface temperature is analyzed. Using these data, the adjustment coefficient of the natural gas pipeline surface temperature in response to the external temperature fluctuation is calculated, and the coefficient is determined by data fitting or model solving.

[0055] Temperature response influence coefficients stored in the database , soil conductivity influence coefficient The specific acquisition steps are as follows: for the temperature response influence coefficient, the stored temperature fluctuation data and the temperature response data of the natural gas pipeline material are obtained from the database, and the influence of temperature changes on the performance of the natural gas pipeline is analyzed. Through statistical analysis, the stress and response coefficient of the temperature change on the natural gas pipeline are determined. This coefficient represents the intensity of the influence of temperature on fatigue and aging of the natural gas pipeline material; for the soil conductivity influence coefficient, the soil conductivity data is extracted from the database, and analyzed in combination with the soil environment where the natural gas pipeline is located. By analyzing the influence of soil conductivity changes on natural gas pipeline corrosion, material aging and other aspects, the intensity coefficient of the influence of soil conductivity on the health of the natural gas pipeline is calculated. This coefficient can be obtained by fitting experimental data or historical monitoring data.

[0056] In this implementation scheme, by acquiring the environmental time series data such as the corrosion rate, surface temperature and soil resistivity of the pipeline in real time, and combining the design data of the pipeline (such as the maximum allowable corrosion rate, the maximum allowable temperature and the maximum allowable soil resistivity, etc.), the corrosion resistance of the pipeline under different environmental conditions can be comprehensively evaluated. This method helps to accurately judge the health status of the pipeline and give early warning by comprehensively analyzing various environmental data, so as to take timely maintenance measures to avoid failure or damage of the pipeline due to corrosion, temperature fluctuations and other problems. Among them, by calculating the surface temperature influence coefficient and the surface temperature adjustment coefficient, the ability to predict the impact of ambient temperature changes on pipeline operation is further enhanced, and the impact of temperature fluctuations on the pipeline is accurately reflected; at the same time, the introduction of the soil conductivity influence coefficient, combined with the soil conductivity data, enhances the corrosion analysis of the pipeline in different soil environments. This method can not only effectively improve the safety of pipeline operation, but also optimize the maintenance management of the pipeline, and reduce the economic losses caused by equipment failure and corrosion.

[0057] Specifically, the natural gas pipeline structure time series data includes the internal pipe stress value, external pipe stress value, natural gas pipeline fatigue coefficient, and natural gas pipeline tensile strength value at several time points. The specific steps for obtaining the natural gas pipeline load-bearing operation timing index at each monitoring position of the natural gas pipeline to be monitored are as follows: based on the natural gas pipeline structure time series data at each monitoring position of the natural gas pipeline to be monitored, the natural gas pipeline structure time series feature set at each monitoring position of the natural gas pipeline to be monitored is analyzed separately, including the internal pipe stress time series mean, the external pipe stress time series mean, the natural gas pipeline fatigue index, and the natural gas pipeline tensile strength time series mean; the maximum allowable value of the internal pipe stress, the maximum allowable value of the external pipe stress, the maximum allowable value of the natural gas pipeline fatigue coefficient, and the maximum allowable value of the natural gas pipeline tensile strength at each monitoring position of the natural gas pipeline to be monitored are obtained, and a comprehensive analysis is performed in combination with the natural gas pipeline structure time series feature sets of the corresponding monitoring positions to obtain the natural gas pipeline load-bearing operation timing index at each monitoring position of the natural gas pipeline to be monitored.

[0058] The stress value inside the pipe can be measured and obtained by a stress sensor.

[0059] The external stress value of the pipe can be measured and obtained by external stress sensors (such as optical fiber sensors, strain gauges, etc.), which are installed on the outside of the natural gas pipeline or obtain data through underground exploration.

[0060] The fatigue coefficient of natural gas pipeline can be measured by strain gauge or accelerometer.

[0061] The tensile strength value of the natural gas pipeline can be calculated and analyzed by using strain gauges or optical fiber sensors to obtain strain data, and then combining it with the stress-strain relationship of the material.

[0062] The natural gas pipeline fatigue index is obtained by performing mean analysis on the natural gas pipeline fatigue coefficients at several time points.

[0063] The maximum allowable value of internal pipe stress can be obtained by referring to the natural gas pipeline design specifications or natural gas pipeline standards.

[0064] The maximum allowable value of external pipe stress can be obtained by referring to the natural gas pipeline design specifications or natural gas pipeline standards.

[0065] The maximum allowable value of the fatigue coefficient of the natural gas pipeline can be obtained by referring to the natural gas pipeline design specifications or natural gas pipeline standards and material fatigue limits.

[0066] The maximum allowable tensile strength of natural gas pipelines is set based on the design specifications and material properties of natural gas pipeline materials. It is set by referring to the yield strength and design standards of the materials and combining the maximum bearing capacity of the natural gas pipeline. This value is usually calculated by natural gas pipeline design engineers based on material types and standards.

[0067] The specific formula for calculating the natural gas pipeline load operation timing index at each monitoring location of the natural gas pipeline to be monitored is as follows:

[0068] Among them, CzS i is the pipeline load operation timing index of the i-th monitoring position of the pipeline to be monitored, NyL i is the time series mean of the pressure inside the pipeline at the i-th monitoring point to be monitored, NyC i is the maximum allowable value of the internal stress of the i-th monitoring point in the pipeline to be monitored, WyL i is the time series mean of the external stress of the i-th monitoring position of the pipeline to be monitored, WyC i is the maximum allowable value of the external stress of the i-th monitoring point of the pipeline to be monitored, is the stress influence coefficient stored in the database, PzS i is the pipeline fatigue index of the i-th monitoring position of the pipeline to be monitored, PzC i is the maximum allowable value of the pipeline fatigue coefficient at the i-th monitoring position of the pipeline to be monitored, is the fatigue influence coefficient stored in the database, KqD i is the time series mean of the tensile strength of the pipeline at the i-th monitoring position of the pipeline to be monitored, KqC i is the maximum allowable value of the pipeline tensile strength at the i-th monitoring point of the pipeline to be monitored, is the tensile strength influence coefficient stored in the database, i = 1, 2, 3, …, i0, i0 is the number of monitoring positions.

[0069] It should be explained that the stress influence coefficients stored in the database , Fatigue influence coefficient , tensile strength influence coefficient The specific acquisition steps are as follows: for the stress influence coefficient, the data such as the internal pressure, external load and temperature of the natural gas pipeline monitoring points stored in the database are obtained, and the stress influence coefficient of each monitoring point is calculated, that is, the influence of stress on the operation stability of the natural gas pipeline is obtained through the change relationship between stress and load; for the fatigue influence coefficient, the fatigue accumulation data of the natural gas pipeline is obtained from the database, the fatigue degree of the natural gas pipeline under long-term pressure fluctuations and temperature changes is analyzed, and the corresponding fatigue influence coefficient is calculated; for the tensile strength influence coefficient, the tensile strength data of the natural gas pipeline material is obtained, and the tensile strength influence coefficient of the natural gas pipeline is calculated in combination with the stress state of the natural gas pipeline. This coefficient reflects the change of the bearing capacity of the natural gas pipeline material under different stresses.

[0070] Among them, a specific real-time example of calculating the natural gas pipeline load operation timing index at a certain monitoring location point of the natural gas pipeline to be monitored is as follows, and the following parameters are available:

[0071] Including the internal stress value (MPa), external stress value (MPa), pipeline fatigue coefficient, and pipeline tensile strength value (MPa) at eight time points. The specific data are shown in Table 1 and Figure 3 :

[0072] Table 1 Example of pipeline structure time series data at a monitoring location of a natural gas pipeline to be monitored

[0073] In addition, the maximum allowable value of the internal stress of a certain monitoring position of the natural gas pipeline to be monitored is: 100MPa.

[0074] The maximum allowable value of the external stress of a certain monitoring position of the natural gas pipeline to be monitored is: 50MPa.

[0075] The maximum allowable value of the natural gas pipeline fatigue coefficient at a certain monitoring location of the natural gas pipeline to be monitored is: 1.

[0076] The maximum allowable value of the tensile strength of the natural gas pipeline at a certain monitoring location of the natural gas pipeline to be monitored is: 550MPa.

[0077] Stress influence factors stored in the database Approximately: 0.162.

[0078] Fatigue influence factors stored in the database Approximately: 0.114.

[0079] Tensile strength influence factors stored in the database Approximately: 0.226.

[0080] The data in Table 1 are analyzed for mean values ​​to obtain the natural gas pipeline structure time series feature set of a certain monitoring point of the natural gas pipeline to be monitored, including:

[0081] The mean time series value of the internal stress at a certain monitoring point of the natural gas pipeline to be monitored = 45.930.

[0082] The mean time series value of the external stress at a certain monitoring point of the natural gas pipeline to be monitored is 23.737.

[0083] The natural gas pipeline fatigue index at a certain monitoring location of the natural gas pipeline to be monitored = 0.577.

[0084] The time series mean of the tensile strength of the natural gas pipeline at a certain monitoring point of the natural gas pipeline to be monitored = 461.269.

[0085] Substitute the above data into the specific formula for calculating the natural gas pipeline load operation timing index at each monitoring location of the natural gas pipeline to be monitored, and obtain:

[0086] The natural gas pipeline load operation timing index of each monitoring location point of the natural gas pipeline to be monitored = (((1 / 2)×((45.930 / 100)+(23.737 / 50)))^0.162)+((0.577 / 1)^0.114)+((461.269 / 550)^0.226)≈2.784.

[0087] In this implementation scheme, by comprehensively analyzing the structural time series data of the natural gas pipeline, including the internal stress, external stress, pipeline fatigue coefficient and tensile strength value, the real-time monitoring accuracy of the pipeline bearing capacity is effectively improved. First, the system monitors the key structural data of the pipeline in real time through equipment such as stress sensors, external stress sensors, strain gauges and optical fiber sensors to obtain the stress state and fatigue degree of the pipeline. These data not only help to evaluate the current health status of the pipeline, but also analyze it in combination with historical data to determine whether the pipeline is in an overloaded operating state or has a potential structural failure. Secondly, by calculating key parameters such as the stress influence coefficient, fatigue influence coefficient and tensile strength influence coefficient, the system can more accurately evaluate the stability of the pipeline under various loads and environmental conditions. For example, the stress influence coefficient reflects the influence of the pressure on the pipeline on its stability by analyzing the changing relationship between the internal pressure and the external load; the fatigue influence coefficient provides the fatigue degree and future failure risk of the pipeline by analyzing the influence of long-term pressure fluctuations and temperature changes on pipeline fatigue; the tensile strength influence coefficient reflects the bearing capacity of the pipeline material under different stresses, thereby evaluating whether the pipeline has reached the ultimate bearing state.

[0088] Specifically, the specific steps of judging and analyzing the natural gas pipeline state time series feature set of each monitoring position point of the natural gas pipeline to be monitored with the preset time series feature abnormal interval are as follows: the natural gas pipeline steady-pressure operation timing index of each monitoring position point of the natural gas pipeline to be monitored is judged and analyzed with the preset steady-pressure operation abnormal interval, and the monitoring position point whose natural gas pipeline steady-pressure operation timing index is within the steady-pressure operation abnormal interval is marked as the steady-pressure operation abnormal monitoring point; the natural gas pipeline corrosion-resistant operation timing index of each monitoring position point of the natural gas pipeline to be monitored is judged and analyzed with the preset corrosion-resistant operation abnormal interval, and the monitoring position point whose natural gas pipeline corrosion-resistant operation timing index is within the corrosion-resistant operation abnormal interval is marked as the corrosion-resistant operation abnormal monitoring point; the natural gas pipeline load-bearing operation timing index of each monitoring position point of the natural gas pipeline to be monitored is judged and analyzed with the preset load-bearing operation abnormal interval, and the monitoring position point whose natural gas pipeline load-bearing operation timing index is within the load-bearing operation abnormal interval is marked as the load-bearing operation abnormal monitoring point.

[0089] In this implementation scheme, by comparing and analyzing the state time series feature set of each monitoring position point of the natural gas pipeline to be monitored with the preset abnormal interval, potential abnormal situations can be detected in real time during pipeline operation, and abnormal monitoring points can be marked in time. This method has significant benefits. First, it can accurately identify changes in the operating status of the pipeline in terms of pressure stabilization, corrosion resistance and load-bearing, and compare them with the preset safety interval to ensure that the pipeline operates within the normal range. Secondly, the system can detect potential risks in pipeline operation in advance, and by marking abnormal monitoring points, it can quickly notify relevant personnel to take corresponding management measures, thereby reducing safety hazards caused by pipeline failure or malfunction. Compared with traditional methods, this method provides a more efficient and intelligent pipeline health management method, ensuring the long-term stable operation of the pipeline system, while reducing the pressure of manual inspections and the possibility of pipeline failures, thereby improving overall operational safety.

[0090] Specifically, the specific steps for taking preset operational management measures based on the judgment and analysis results are as follows: For abnormal pressure stabilization operation monitoring points, send abnormal pressure stabilization operation alarms to relevant staff, and take preset abnormal pressure stabilization management measures, including checking the natural gas pipeline pressure stabilization device to find out whether there are valve failures, improper pressure regulation or other equipment failures, and adjust the pressure system according to the inspection results to ensure that the natural gas pipeline resumes normal pressure stabilization operation and avoids pressure out of control; For abnormal corrosion resistance operation monitoring points, send abnormal corrosion resistance operation alarms to relevant staff, and take preset abnormal corrosion resistance management measures, including checking the corrosion of the natural gas pipeline, checking Check whether there are weak areas on the wall of the natural gas pipeline caused by leakage or corrosion, and arrange the maintenance or replacement of the natural gas pipeline in time. In addition, measures such as accelerated corrosion detection and enhanced anti-corrosion treatment may be taken to ensure the safety of the natural gas pipeline structure; for the abnormal load operation monitoring points, send abnormal load operation alarms to relevant staff, and take preset abnormal load management measures, including analyzing areas with excessive load or abnormal stress, and conducting strength inspections and stress analyses of the natural gas pipeline. Depending on the actual situation, pressure reduction, reinforcement of natural gas pipeline supports, local repairs or suspension of partial load operations may be carried out to ensure that the natural gas pipeline does not rupture or fail due to overloading.

[0091] In this implementation scheme, by automatically taking preset operational management measures when abnormal conditions are monitored, the safety and emergency response efficiency of the natural gas pipeline are significantly improved. For different types of abnormalities, such as pressure stabilization, corrosion resistance and load-bearing operation abnormalities, the system can automatically notify relevant staff according to the early warning results and provide specific management measures, such as checking the pipeline pressure stabilization device, corrosion detection, load analysis, etc. This timely response mechanism can intervene in the early stage of the problem to avoid potential safety accidents. In addition, the preset management measures taken can quickly locate the source of the problem and restore the normal operation of the pipeline through repair, adjustment or enhanced processing, thereby ensuring the stability and reliability of the pipeline in long-term operation. Compared with the traditional method that relies on manual inspections and post-processing, this method reduces the risk of human errors through automated measures and improves the management efficiency and response speed of the pipeline.

[0092] See also Figure 4The embodiment of the present invention provides a technical solution: a comprehensive operation and management system for pipeline safe operation, including: a time series data acquisition unit, used to acquire the natural gas pipeline state time series data of each monitoring position point of the natural gas pipeline to be monitored in real time and perform preprocessing, wherein the natural gas pipeline state time series data includes natural gas pipeline working condition time series data, natural gas pipeline environment time series data, and natural gas pipeline structure time series data; a time series feature analysis unit, used to perform comprehensive analysis on the natural gas pipeline state time series data of each monitoring position point of the natural gas pipeline to be monitored after preprocessing, and obtain the natural gas pipeline state time series feature set of each monitoring position point of the natural gas pipeline to be monitored, including the natural gas pipeline pressure stabilization operation time series index, the natural gas pipeline corrosion resistance operation time series index, and the natural gas pipeline load operation time series index; a judgment management unit, used to judge and analyze the natural gas pipeline state time series feature set of each monitoring position point of the natural gas pipeline to be monitored with a preset time series feature abnormal interval, and take preset operation and management measures according to the judgment and analysis results.

[0093] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0094] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A comprehensive operation management method for pipeline safety operation, characterized in that: The following steps are involved: Acquire pipeline status time series data of each monitoring position point of the pipeline to be monitored in real time and perform preprocessing, wherein the pipeline status time series data includes pipeline operating condition time series data, pipeline environment time series data, and pipeline structure time series data; The pipeline status time series data of each monitoring position point of the pipeline to be monitored after preprocessing are comprehensively analyzed to obtain the pipeline status time series feature set of each monitoring position point of the pipeline to be monitored, including the pipeline pressure stabilization operation time series index, the pipeline corrosion resistance operation time series index, and the pipeline load-bearing operation time series index; The pipeline status time series feature set of each monitoring position point of the pipeline to be monitored is judged and analyzed with the preset time series feature abnormal interval, and the preset operation and management measures are taken according to the judgment and analysis results.

2. The pipeline safety operation integrated management method according to claim 1 is characterized in that: The pipeline operating condition time series data includes the pressure value, flow value and vibration frequency value in the pipeline at several time points. The specific steps for obtaining the pipeline pressure stabilization operation time series index at each monitoring position point of the pipeline to be monitored are as follows: Based on the pipeline condition time series data of each monitoring position of the pipeline to be monitored, the pipeline condition time series feature set of each monitoring position of the pipeline to be monitored is analyzed respectively, including the time series mean value of the pressure in the pipeline, the time series change of the pressure in the pipeline, the time series change of the flow rate in the pipeline, and the time series mean value of the vibration frequency in the pipeline; The pipe pressure parameter value, the maximum allowable value of the pipe pressure, the pipe vibration frequency parameter value, and the maximum allowable value of the pipe vibration frequency at each monitoring position of the pipeline to be monitored are obtained, and a comprehensive analysis is performed in combination with the pipeline operating condition time series feature set of the corresponding monitoring position points to obtain the pipeline pressure stabilization operation time series index of each monitoring position point of the pipeline to be monitored.

3. The pipeline safety operation integrated management method according to claim 2 is characterized in that: The specific formula for calculating the pipeline pressure stabilization operation timing index at each monitoring location of the pipeline to be monitored is as follows: ； Among them, WyY i is the pipeline pressure stabilization operation timing index of the i-th monitoring position of the pipeline to be monitored, GyJ i is the time series mean of the pressure in the i-th monitoring position of the pipeline to be monitored, GyC i is the pressure parameter value in the i-th monitoring position of the pipeline to be monitored, GnY i is the maximum allowable value of the internal pressure at the i-th monitoring point of the pipeline to be monitored, is the pressure influence coefficient stored in the database, LbH i is the time series change of the flow rate in the i-th monitoring position of the pipeline to be monitored, YbH i is the time series variation of the pressure in the i-th monitoring position of the pipeline to be monitored, is the flow-pressure coupling influence coefficient stored in the database, GzJ i GzC is the time series mean of the vibration frequency in the i-th monitoring position of the pipeline to be monitored, i is the parameter value of the vibration frequency in the pipe at the i-th monitoring position of the pipeline to be monitored, GnZ i is the maximum allowable value of the vibration frequency in the pipe at the i-th monitoring position of the pipeline to be monitored, is the vibration influence coefficient stored in the database, i = 1, 2, 3, …, i0, i0 is the number of monitoring position points.

4. The pipeline safety operation integrated management method according to claim 1 is characterized in that: The pipeline environment time series data includes the pipeline corrosion rate, pipeline surface temperature value, and soil resistivity value within a set range at several time points. The specific steps for obtaining the pipeline corrosion resistance operation time series index at each monitoring position point of the pipeline to be monitored are as follows: Based on the pipeline environment time series data of each monitoring position of the pipeline to be monitored, the pipeline environment time series feature set of each monitoring position of the pipeline to be monitored is analyzed respectively, including the time series mean of the pipeline corrosion rate, the time series mean of the pipeline surface temperature, and the time series mean of the soil resistivity within the set range; The pipeline corrosion rate parameter value, the maximum allowable value of the pipeline corrosion rate, the maximum allowable value of the pipeline surface temperature, and the maximum allowable value of the soil resistivity within the set range are obtained for each monitoring position of the pipeline to be monitored, and a comprehensive analysis is performed in combination with the pipeline environment time series feature set of the corresponding monitoring position to obtain the pipeline corrosion resistance operation time series index of each monitoring position of the pipeline to be monitored.

5. The pipeline safety operation integrated management method according to claim 4 is characterized in that: The specific formula for calculating the pipeline corrosion resistance operation timing index at each monitoring location of the pipeline to be monitored is as follows: ； Among them, NfY i GfJ is the pipeline corrosion resistance operation timing index of the i-th monitoring position of the pipeline to be monitored, i is the time series mean of the pipeline corrosion rate at the i-th monitoring point of the pipeline to be monitored, GfZ i is the maximum allowable value of pipeline corrosion rate at the i-th monitoring position of the pipeline to be monitored, e is a natural constant, GwJ i is the time series mean of the pipeline surface temperature at the i-th monitoring point of the pipeline to be monitored, is the surface temperature influence coefficient stored in the database, is the surface temperature adjustment coefficient stored in the database, DzL i is the time series mean of the pipeline corrosion rate at the i-th monitoring point of the pipeline to be monitored, GfZ i is the soil resistivity time series mean within the set range of the i-th monitoring position of the pipeline to be monitored, DzZ i GfC is the maximum allowable soil resistivity within the set range of the i-th monitoring position of the pipeline to be monitored, i is the pipeline corrosion rate parameter value of the i-th monitoring position of the pipeline to be monitored, GwZ i is the maximum allowable value of the pipeline surface temperature at the i-th monitoring point of the pipeline to be monitored, is the temperature response influence coefficient stored in the database, is the soil conductivity influence coefficient stored in the database, i = 1, 2, 3, …, i0, i0 is the number of monitoring locations.

6. The pipeline safety operation integrated management method according to claim 1 is characterized in that: The pipeline structure time series data includes the internal stress value, external stress value, pipeline fatigue coefficient, and pipeline tensile strength value at several time points. The specific steps for obtaining the pipeline load operation time series index at each monitoring position point of the pipeline to be monitored are as follows: Based on the pipeline structure time series data of each monitoring position of the pipeline to be monitored, the pipeline structure time series feature set of each monitoring position of the pipeline to be monitored is analyzed respectively, including the time series mean of the internal stress of the pipeline, the time series mean of the external stress of the pipeline, the pipeline fatigue index, and the time series mean of the tensile strength of the pipeline; The maximum allowable value of internal stress, external stress, fatigue coefficient and tensile strength of the pipeline at each monitoring position of the pipeline to be monitored are obtained, and a comprehensive analysis is performed on the pipeline structure time series feature set at the corresponding monitoring position to obtain the pipeline load operation time series index at each monitoring position of the pipeline to be monitored.

7. The pipeline safety operation integrated management method according to claim 6 is characterized in that: The specific formula for calculating the pipeline load operation timing index at each monitoring location of the pipeline to be monitored is as follows: ； Among them, CzS i is the pipeline load operation timing index of the i-th monitoring position of the pipeline to be monitored, NyL i is the time series mean of the pressure inside the pipeline at the i-th monitoring point to be monitored, NyC i is the maximum allowable value of the internal stress of the i-th monitoring point in the pipeline to be monitored, WyL i is the time series mean of the external stress of the i-th monitoring position of the pipeline to be monitored, WyC i is the maximum allowable value of the external stress of the i-th monitoring point of the pipeline to be monitored, is the stress influence coefficient stored in the database, PzS i is the pipeline fatigue index of the i-th monitoring position of the pipeline to be monitored, PzC i is the maximum allowable value of the pipeline fatigue coefficient at the i-th monitoring position of the pipeline to be monitored, is the fatigue influence coefficient stored in the database, KqD i is the time series mean of the tensile strength of the pipeline at the i-th monitoring position of the pipeline to be monitored, KqC i is the maximum allowable value of the pipeline tensile strength at the i-th monitoring point of the pipeline to be monitored, is the tensile strength influence coefficient stored in the database, i = 1, 2, 3, …, i0, i0 is the number of monitoring positions.

8. The pipeline safety operation integrated management method according to claim 1 is characterized in that: The specific steps of judging and analyzing the pipeline state time series feature set of each monitoring position point of the pipeline to be monitored and the preset time series feature abnormal interval are as follows: The pipeline pressure stabilization operation timing index of each monitoring position of the pipeline to be monitored is judged and analyzed with the preset pressure stabilization operation abnormal range, and the monitoring position point where the pipeline pressure stabilization operation timing index is within the pressure stabilization operation abnormal range is marked as a pressure stabilization operation abnormal monitoring point; The pipeline corrosion resistance operation timing index of each monitoring position of the pipeline to be monitored is judged and analyzed with the preset corrosion resistance operation abnormal range, and the monitoring position point where the pipeline corrosion resistance operation timing index is within the corrosion resistance operation abnormal range is marked as the corrosion resistance operation abnormal monitoring point; The pipeline load-bearing operation timing index of each monitoring position point of the pipeline to be monitored is judged and analyzed with the preset load-bearing operation abnormality interval, and the monitoring position point where the pipeline load-bearing operation timing index is within the load-bearing operation abnormality interval is marked as a load-bearing operation abnormality monitoring point.

9. The pipeline safety operation integrated management method according to claim 8, characterized in that: The specific steps for taking preset operational management measures based on the judgment and analysis results are as follows: For abnormal voltage stabilization operation monitoring points, abnormal voltage stabilization operation alarms are sent to relevant staff, and preset abnormal voltage stabilization management measures are taken; For abnormal corrosion operation monitoring points, abnormal corrosion operation alarms are sent to relevant staff, and preset abnormal corrosion management measures are taken; For the abnormal load-bearing operation monitoring points, abnormal load-bearing operation alarms are sent to relevant staff, and preset abnormal load-bearing operation management measures are taken.

10. A pipeline safety operation integrated operation management system, applying the pipeline safety operation integrated operation management method according to any one of claims 1 to 9, characterized in that: include: A time series data acquisition unit is used to acquire the pipeline status time series data of each monitoring position point of the pipeline to be monitored in real time and perform preprocessing, wherein the pipeline status time series data includes pipeline operating condition time series data, pipeline environment time series data, and pipeline structure time series data; The time series feature analysis unit is used to comprehensively analyze the pre-processed pipeline state time series data of each monitoring position point of the pipeline to be monitored, and obtain the pipeline state time series feature set of each monitoring position point of the pipeline to be monitored, including the pipeline pressure stabilization operation time series index, the pipeline corrosion resistance operation time series index, and the pipeline load-bearing operation time series index; The judgment management unit is used to judge and analyze the pipeline state time series feature set of each monitoring position point of the pipeline to be monitored with the preset time series feature abnormal interval, and take preset operation management measures according to the judgment and analysis results.

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