A large-scale natural gas pipeline network operation method and system based on distributed technology

Abstract

The application relates to the technical field of pipe network management, and discloses a large-scale natural gas pipe network operation method and system based on distributed technology, which comprises the following steps: collecting transportation pipeline size data, and dividing pipeline pressure threshold values; collecting a current operation time, and setting pipeline time period threshold values; collecting environmental temperature to adjust the pipeline time period threshold values P, obtaining adjusted pipeline time period threshold values Pt; collecting real-time pressure data Y0, comparing the real-time pressure data Y0 with the adjusted pipeline time period threshold values Pt, and judging whether natural gas transportation is abnormal; when it is judged that the natural gas transportation is abnormal, comparing flow data L0 with a flow threshold value Lmax, judging abnormal reasons according to a comparison result; and when it is judged that a transportation pipeline is leaked, judging a leakage position and judging whether to close a pressure regulating station valve for maintenance. The application improves the safety and reliability of a pipeline system, and simultaneously reduces maintenance cost and downtime.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of pipe network management, in particular to a large-scale natural gas pipe network operation method and system based on distributed technology. BACKGROUND

[0002] Manual inspection is one of the main ways of traditional pipe network monitoring. The staff inspects the pipeline in the natural gas pipe network at certain time intervals to check the integrity of the pipeline and whether there is blockage or leakage. The advantage of this method is simple operation and low cost. However, due to the low frequency of manual inspection, the running state of the pipe network cannot be understood in real time, and there are monitoring blind spots and loopholes.

[0003] In addition, manual data collection and recording is a common method. The staff regularly visits each monitoring point to measure parameters such as pressure, temperature, and flow, and manually records the data. The advantage of this method is high flexibility, which can measure specific problems. However, manual data collection has human error and unreliability, and the data collection period is long, which cannot meet the real-time monitoring requirements. Large-scale natural gas pipe networks are an important part of energy supply, and the natural gas transported by pipelines is high-pressure gas. Once a leak or accident occurs, it may cause fire, explosion, and casualties, so it is very important to monitor and control large-scale natural gas pipe networks in real time.

[0004] Therefore, it is necessary to design a large-scale natural gas pipe network operation method and system based on distributed technology to solve the current problems. SUMMARY

[0005] In view of this, the present application provides a large-scale natural gas pipe network operation method and system based on distributed technology, aiming to solve the problem that the current detection method mostly relies on operator experience, is time-consuming and laborious, has high detection cost, and has low detection efficiency.

[0006] In one aspect, the present application provides a large-scale natural gas pipe network operation method based on distributed technology, comprising:

[0007] Collecting transportation pipeline size data, dividing pipeline pressure thresholds according to the size data, the pressure thresholds including the highest pressure threshold, the high pressure threshold, the normal pressure threshold, the low pressure threshold, and the lowest pressure threshold, collecting the current running time, and setting the pipeline time period threshold according to the running time;

[0008] Collecting the ambient temperature, adjusting the pipeline time period threshold P according to the ambient temperature, and obtaining the adjusted pipeline time period threshold Pt;

[0009] Collecting real-time pressure data Y0 of the transportation pipeline, comparing the real-time pressure data Y0 with the adjusted pipeline time period threshold Pt, and judging whether there is an abnormality in natural gas transportation according to the comparison result;

[0010] When Y0>1.1Pt or Y0<0.9Pt, it is determined that there is an abnormality in natural gas transportation;

[0011] When 0.9Pt≤Y0≤1.1Pt, it is determined that there is no abnormality in natural gas transportation;

[0012] When it is determined that there is an abnormality in natural gas transportation, collecting flow data L0 in the transportation pipeline, pre-setting a flow threshold Lmax, comparing the flow data L0 with the flow threshold Lmax, and judging the cause of the abnormality according to the comparison result;

[0013] When L0<Lmax, it is determined that the transportation pipeline is blocked;

[0014] When L0>Lmax, it is determined that the transportation pipeline is leaked;

[0015] When it is determined that the transportation pipeline is leaked, collecting the initial pressure Yq, the middle pressure Yz and the tail pressure Yw of the transportation pipeline, and judging the leakage position according to the comparison results of the initial pressure Yq, the middle pressure Yz and the tail pressure Yw with the adjusted pipeline time period threshold Pt respectively;

[0016] After determining the leakage position, collecting the leakage amount X0, and judging whether to close the valve of the pressure regulating station for maintenance according to the comparison relationship between the leakage amount X0 and the leakage threshold Xmax;

[0017] When it is determined that the transportation pipeline is blocked, collecting the maximum pressure Yd in the transportation pipeline, comparing the maximum pressure Yd with the maximum pressure threshold, and judging whether to close the valve of the pressure regulating station for maintenance according to the comparison result.

[0018] Further, the current running time is collected, and the pipeline time period threshold is set according to the running time, comprising:

[0019] Pre-setting a first preset time range F1, a second preset time range F2 and a third preset time range F3; setting the time period threshold of the transportation pipeline according to the running time;

[0020] When the running time is in the first preset time range F1, the time period threshold of the transportation pipeline is determined as a normal pressure threshold, i.e. P=P3;

[0021] When the running time is in the second preset time range F2, the time period threshold of the transportation pipeline is determined as a high pressure threshold, i.e. P=P2;

[0022] When the running time is within the third preset time range F3, the time period threshold of the transportation pipeline is determined as a low pressure threshold, i.e. P=P4.

[0023] Further, the ambient temperature is collected, and the pipeline time period threshold P is adjusted according to the ambient temperature to obtain an adjusted pipeline time period threshold Pt, including

[0024] The first preset ambient temperature T1, the second preset ambient temperature T2 and the third preset ambient temperature T3 are preset, and T1

[0025] When T1≤T0

[0026] When T2≤T0

[0027] When T3≤T0, the third preset threshold adjustment coefficient A3 is selected to adjust the time period threshold P of the pipeline to obtain the adjusted pipeline time period threshold Pt=Pn*A3.

[0028] Further, after the i-th preset adjustment coefficient Ai is selected according to the size relationship between the ambient temperature and each preset ambient temperature to adjust the time period threshold P of the pipeline to obtain the adjusted pipeline time period threshold Pt, Pt=Pn*Ai, n=2, 3, 4, i=1, 2, 3, further including:

[0029] The transportation distance S0 of the transportation pipeline is collected, the first preset transportation distance S1, the second preset transportation distance S2 and the third preset transportation distance S3 are preset, and S1

[0030] When S1≤S0

[0031] When S2≤S0<S3, the second preset threshold adjustment coefficient A2 is selected to perform secondary adjustment on the adjusted pipeline period threshold Pt, and the secondary adjusted pipeline period threshold Pt=Pn*Ai*A2 is obtained;

[0032] When S3≤S0, the third preset threshold adjustment coefficient A3 is selected to perform secondary adjustment on the adjusted pipeline period threshold Pt, and the secondary adjusted pipeline period threshold Pt=Pn*Ai*A3 is obtained.

[0033] Furthermore, when it is determined that there is a leak in the transport pipeline, the starting pressure Yq, the middle pressure Yz, and the tail pressure Yw of the transport pipeline are collected, and the leak location is determined based on the comparison results of the starting pressure Yq, the middle pressure Yz, and the tail pressure Yw with the adjusted pipeline time period threshold Pt, including:

[0034] When Yq<Pt, Yz<Pt and Yw<Pt, it is determined that leakage occurs at the starting position of the pipeline;

[0035] When Yq>Pt, Yz<Pt and Yw<Pt, it is determined that a leak occurs in the middle of the pipeline;

[0036] When Yq>Pt, Yz>Pt and Yw<Pt, it is determined that leakage occurs at the end position of the pipeline.

[0037] Furthermore, after the leakage location is determined, the leakage volume X0 is collected, and based on the comparison relationship between the leakage volume X0 and the leakage volume threshold Xmax, it is determined whether to close the pressure regulating station valve for maintenance, including:

[0038] When X0<Xmax, it is determined that the pressure regulating station valve is not closed and vibration data D0 is collected, and whether to close the pressure regulating station valve is further determined based on the vibration data D0;

[0039] When X0≥Xmax, it is determined that the pressure regulating station valve should be closed and pipeline maintenance should be carried out.

[0040] Furthermore, when X0<Xmax, it is determined that the pressure regulating station valve is not closed and vibration data D0 is collected, and whether to close the pressure regulating station valve is further determined based on the vibration data D0, including:

[0041] A vibration threshold Dmax is preset, and whether to immediately close the pressure regulating station valve is further determined based on the magnitude relationship between the vibration data D0 and the vibration threshold Dmax;

[0042] When D0 < Dmax, it is determined that the pressure regulating station valve is not closed immediately, and the leakage difference △X = Xmax - X0 is obtained. The pressure regulating station delivery pressure E is adjusted according to the leakage difference △X, and a leakage warning is issued;

[0043] When D0>Dmax, it is determined to immediately close the valve of the pressure regulating station;

[0044] The leakage difference value is obtained as ΔX=Xmax-X0, and the delivery pressure E0 of the pressure regulating station is adjusted according to the leakage difference value ΔX, including:

[0045] The delivery pressure E0 of the pressure regulating station is collected, and the first preset delivery adjustment coefficient B1, the second preset delivery adjustment coefficient B2 and the third preset delivery adjustment coefficient B3 are set in advance, and B1

[0046] When ΔX1≤ΔX

[0047] When ΔX2≤ΔX

[0048] When ΔX3≤ΔX, the third preset delivery adjustment coefficient B3 is selected to adjust the delivery pressure E0, and the adjusted delivery pressure E0*B3 is obtained.

[0049] Further, when it is determined that the transportation pipeline is blocked, the maximum pressure Yd in the transportation pipeline is collected, and the maximum pressure Yd is compared with the maximum pressure threshold, and whether to close the valve of the pressure regulating station for maintenance is determined according to the comparison result, including:

[0050] According to the size relationship between the maximum pressure Yd and the maximum pressure threshold Y1, whether to close the valve of the pressure regulating station for maintenance is determined;

[0051] When Yd≥Y1, it is determined to immediately close the valve of the pressure regulating station for maintenance;

[0052] When Yd

[0053] Further, when Yd

[0054] When Qy≥Qg, it is determined not to adjust the delivery pressure of the pressure regulating station;

[0055] When QyQg, it is determined to adjust the delivery pressure of the regulating station;

[0056] When it is determined to adjust the delivery pressure of the regulating station, the gas quantity difference value AQ=Qy-Qg is obtained, and the first preset gas quantity difference value AQ1, the second preset gas quantity difference value AQ2 and the third preset gas quantity difference value AQ3 are preset, and the delivery adjustment coefficient is selected according to the size relationship between the gas quantity difference value AQ and each preset gas quantity difference value to adjust the delivery pressure E0;

[0057] When AQ1AQ2, the first preset delivery adjustment coefficient A1 is selected to adjust the delivery pressure E0, and the adjusted delivery pressure E0*A1 is obtained;

[0058] When AQ2AQ3, the second preset delivery adjustment coefficient A2 is selected to adjust the delivery pressure E0, and the adjusted delivery pressure E0*A2 is obtained;

[0059] When AQ3AQ, the third preset delivery adjustment coefficient A3 is selected to adjust the delivery pressure E0, and the adjusted delivery pressure E0*A3 is obtained.

[0060] Compared with the prior art, the beneficial effects of the present application are that by dynamically adjusting the pipeline pressure threshold value, adjusting the threshold value according to the environmental temperature, and comparing and analyzing a plurality of data, the system can accurately identify abnormal conditions, including leakage and blockage, and reduce the false positive rate and the false negative rate. Once a leak is detected, the system can help accurately determine the leak location, which helps to quickly take maintenance measures and reduces losses and safety risks. The system intelligently decides whether to close the regulating station valve for maintenance according to the leakage amount and flow data, to reduce maintenance costs and downtime. Compared with manual data collection, this system reduces human error and data unreliability, and improves the accuracy and reliability of the data. Through real-time monitoring and intelligent decision-making, the system can ensure pipeline safety while minimizing unnecessary downtime and maintenance, improving the economic efficiency of pipeline operation. Real-time monitoring of pipeline operation status and rapid response to abnormal conditions such as leakage and blockage are achieved, improving the safety and reliability of pipeline operation.

[0061] In another aspect, the present application also provides a large-scale natural gas pipeline network operation system based on distributed technology, comprising:

[0062] The acquisition unit is configured to acquire transportation pipeline size data, divide pipeline pressure threshold values according to the size data, the pressure threshold values including a highest pressure threshold value, a high pressure threshold value, a normal pressure threshold value, a low pressure threshold value and a lowest pressure threshold value, acquire a current operation time, and set a pipeline time period threshold value according to the operation time;

[0063] an adjusting unit configured to collect an ambient temperature, adjust the pipeline period threshold value P according to the ambient temperature, and obtain an adjusted pipeline period threshold value Pt;

[0064] a judging unit including a first judging module, a second judging module, and a third judging module, wherein the first judging module is configured to collect real-time pressure data Y0 of the transportation pipeline, compare the real-time pressure data Y0 with the adjusted pipeline period threshold value Pt, and determine whether the natural gas transportation is abnormal according to a comparison result;

[0065] when Y0>1.1Pt or Y0<0.9Pt, it is determined that the natural gas transportation is abnormal;

[0066] when 0.9Pt≤Y0≤1.1Pt, it is determined that the natural gas transportation is normal;

[0067] the first judging module is further configured to, when it is determined that the natural gas transportation is abnormal, collect flow data L0 in the transportation pipeline, preset a flow threshold value Lmax, compare the flow data L0 with the flow threshold value Lmax, and determine an abnormal reason according to a comparison result;

[0068] when L0<Lmax, it is determined that the transportation pipeline is blocked;

[0069] when L0>Lmax, it is determined that the transportation pipeline is leaked;

[0070] the second judging module is configured to, when it is determined that the transportation pipeline is leaked, collect a starting pressure Yq, a middle pressure Yz, and a tail pressure Yw of the transportation pipeline, and determine a leakage position according to comparison results of the starting pressure Yq, the middle pressure Yz, and the tail pressure Yw with the adjusted pipeline period threshold value Pt, respectively;

[0071] after determining the leakage position, collect a leakage amount X0, and determine whether to close a valve of a pressure regulating station for maintenance according to a comparison relationship between the leakage amount X0 and a leakage threshold value Xmax;

[0072] the third judging module is configured to, when it is determined that the transportation pipeline is blocked, collect a maximum pressure Yd in the transportation pipeline, compare the maximum pressure Yd with the highest pressure threshold value, and determine whether to close the valve of the pressure regulating station for maintenance according to a comparison result.

[0073] It can be understood that the large-scale natural gas pipeline network operation method and system based on the distributed technology have the same beneficial effects, which will not be described here. BRIEF DESCRIPTION OF DRAWINGS

[0074] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0075] Figure 1 A flow chart of a large-scale natural gas pipeline network operation method based on distributed technology provided by an embodiment of the present invention;

[0076] Figure 2 A structural block diagram of a large-scale natural gas pipeline network operation system based on distributed technology provided by an embodiment of the present invention;

[0077] Figure 3 This is a structural block diagram of a judgment unit in a large-scale natural gas pipeline network operation system based on distributed technology provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0078] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, unless there is a conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

[0079] The core of distributed technology is the distributed system. A distributed system is a network consisting of multiple computers, or nodes, that can be physically located in different locations but connected through a network. These nodes work together to complete various computing and data processing tasks. A primary goal of distributed systems is to increase computing power. By dividing tasks into multiple subtasks and assigning these subtasks to different nodes for parallel execution, distributed systems can complete complex computations more quickly. This is particularly important for applications and tasks that require a large amount of computing resources. Distributed systems typically have high availability, as they can continue to operate even if a node fails. Fault tolerance is a key characteristic of distributed systems, ensuring that the system continues to operate even if a node fails. In distributed systems, data is typically distributed across different nodes. This improves data availability and performance. Data replication is also a common practice to ensure data redundancy and fault tolerance.

[0080] Reference Figure 1 In some embodiments of the present application, a large-scale natural gas pipeline network operation method based on distributed technology includes:

[0081] Step S100: Collecting the size data of the transportation pipeline, dividing the pipeline pressure threshold according to the size data, the pressure threshold including the highest pressure threshold, the high pressure threshold, the normal pressure threshold, the low pressure threshold and the lowest pressure threshold, collecting the current running time, setting the pipeline period threshold according to the running time.

[0082] Step S200: Collecting the environmental temperature, adjusting the pipeline period threshold P according to the environmental temperature, and obtaining the adjusted pipeline period threshold Pt.

[0083] Step S300: Collecting the real-time pressure data Y0 of the transportation pipeline, comparing the real-time pressure data Y0 with the adjusted pipeline period threshold Pt, and judging whether the natural gas transportation is abnormal according to the comparison result. When Y0>1.1Pt or Y0<0.9Pt, it is determined that the natural gas transportation is abnormal. When 0.9Pt≤Y0≤1.1Pt, it is determined that the natural gas transportation is not abnormal.

[0084] S400: When it is determined that the natural gas transportation is abnormal, collecting the flow data L0 in the transportation pipeline, pre-setting the flow threshold Lmax, comparing the flow data L0 with the flow threshold Lmax, and judging the abnormal reason according to the comparison result. When L0<Lmax, it is determined that the transportation pipeline is blocked. When L0>Lmax, it is determined that the transportation pipeline is leaked.

[0085] When it is determined that the transportation pipeline is leaked, collecting the starting pressure Yq, the middle pressure Yz and the tail pressure Yw of the transportation pipeline, and judging the leakage position according to the comparison result of the starting pressure Yq, the middle pressure Yz and the tail pressure Yw with the adjusted pipeline period threshold Pt. After determining the leakage position, collecting the leakage amount X0, and judging whether to close the valve of the pressure regulating station for maintenance according to the comparison relationship between the leakage amount X0 and the leakage threshold Xmax.

[0086] When it is determined that the transportation pipeline is blocked, collecting the maximum pressure Yd in the transportation pipeline, comparing the maximum pressure Yd with the highest pressure threshold, and judging whether to close the valve of the pressure regulating station for maintenance according to the comparison result.

[0087] Specifically, by collecting pipeline size data and dividing different pipeline pressure thresholds, the system establishes the baseline state of the pipeline. These thresholds include the highest, high, normal, low and lowest pressure thresholds, allowing the system to monitor the pipeline state according to the actual situation. Among them, the highest pressure threshold is marked as Y1, the high pressure threshold is marked as Y2, the normal pressure threshold is marked as Y3, the low pressure threshold is marked as Y4, and the lowest pressure threshold is marked as Y5, and Y1> Y2> Y3> Y4> Y5. The highest pressure threshold Y1 is the maximum pressure that the pipeline can withstand. The high, normal, low and lowest pressure thresholds gradually decrease from the highest pressure threshold within a certain range. The system collects environmental temperature data, and then dynamically adjusts the pipeline pressure threshold according to the temperature change to obtain a pipeline period threshold that adapts to environmental changes. Real-time pressure data is collected and compared with the dynamically adjusted pipeline period threshold. If the real-time pressure data exceeds a certain range, the system determines that there is an anomaly, which can be too high or too low pressure. The real-time pressure data is the average data of multiple points in the pipeline. When the system detects an anomaly, further flow data is collected to identify the cause of the anomaly, such as blockage or leakage. After comparing the flow data with the preset flow threshold, the system can accurately determine the type of problem and take targeted measures. The flow threshold data is associated with the period threshold determined at the beginning, and when the period threshold is low, the flow threshold value is also low, and when the period threshold is high, the flow threshold is also high. For leakage problems, the system collects data from multiple pressure points to determine the location of the leak, and according to the comparison relationship between the leakage amount and the threshold, it is determined whether the pressure regulating station valve needs to be closed for maintenance. The leakage amount can be estimated by the pressure difference between the two ends of the pipeline. For blockage problems, the system determines whether the pressure regulating station valve needs to be closed for maintenance according to the maximum pressure data. The maximum pressure data is the maximum pressure data among multiple points in the pipeline.

[0088] Specifically, in this embodiment, distributed technology is used to collect a large amount of data, including transportation pipeline size data, environmental temperature, real-time pressure data, flow data, initial pressure, middle pressure, tail pressure, etc. These data can come from multiple sensors and data sources distributed throughout the pipeline network, and distributed technology ensures efficient data collection, transmission and processing. The collected data is processed and analyzed in real time through distributed technology. This includes applying environmental temperature to the adjustment of pipeline period threshold, comparing real-time pressure data with the adjusted pipeline period threshold to determine whether there is an abnormality in natural gas transportation. Distributed computing can quickly process large amounts of data and provide accurate operating status information. According to the results of data analysis, distributed technology is used to determine whether there is an abnormality in pipeline operation, such as whether there is a leak, blockage, etc. It also collects further data such as flow data, pressure data after determining the abnormality to determine the specific cause and location of the abnormality. Distributed technology also supports comparison of data such as leakage and gas pressure with threshold values to determine whether to close the pressure regulating station valve for maintenance. In abnormal situations, distributed technology is used to adjust the delivery pressure according to different situations to meet the actual gas demand. This includes adjusting the pressure according to the comparison of the leakage amount with the leakage amount threshold, or determining whether to close the pressure regulating station valve for maintenance according to the comparison of the maximum pressure with the maximum pressure threshold. Distributed technology ensures that the decision-making process is more intelligent and efficient. Efficient data collection, processing, analysis, and intelligent abnormality judgment and maintenance decisions based on data are achieved.

[0089] It can be understood that comprehensive monitoring and abnormal detection of large-scale natural gas pipeline networks are achieved, including comprehensive analysis of multiple key parameters such as size, environment, pressure and flow. It can timely discover and respond to abnormal situations of the pipeline system, ensure the safety and reliability of the pipeline operation, reduce the risk of accidents and maintenance costs, and improve the stability of energy supply.

[0090] In some embodiments of the present application, the current running time is collected in step S100, and the pipeline period threshold is set according to the running time, including: a first preset time range F1, a second preset time range F2 and a third preset time range F3 are set in advance. The period threshold of the transportation pipeline is set according to the running time. When the running time is within the first preset time range F1, the period threshold of the transportation pipeline is determined as the normal pressure threshold, i.e. P=P3. When the running time is within the second preset time range F2, the period threshold of the transportation pipeline is determined as the high pressure threshold, i.e. P=P2. When the running time is within the third preset time range F3, the period threshold of the transportation pipeline is determined as the low pressure threshold, i.e. P=P4.

[0091] Specifically, according to the preset time range F1, F2 and F3 where the running time is located, the system determines the time period threshold of the pipeline. In different time periods, the pipeline threshold will be automatically adjusted according to the running time to better adapt to different operating conditions. The 24 hours of a day are divided into different time ranges, the current running time is collected, it is determined which preset time range the running time falls into, and then the threshold data of the pipeline is determined. The time range F1 is the normal use time, the time range F2 is the peak use period, and the time range F3 is the low use period.

[0092] It can be understood that the method of dynamically adjusting the time period threshold makes the system more intelligent to adapt to the pipeline operation requirements in different periods, thereby more accurately detecting and handling abnormal situations. It is beneficial to improve the stability, reliability and safety of pipeline operation, reduce false positives and false negatives, help to take timely measures to deal with potential problems, and ensure the continuous operation and safety performance of the pipeline system.

[0093] In some embodiments of the present application, the environment temperature is collected in step S200, the pipeline time period threshold P is adjusted according to the environment temperature, the adjusted pipeline time period threshold Pt is obtained, including pre-setting a first preset environment temperature T1, a second preset environment temperature T2 and a third preset environment temperature T3, and T1 < T2 < T3. A first preset threshold adjustment coefficient A1, a second preset threshold adjustment coefficient A2 and a third preset threshold adjustment coefficient A3 are pre-set, and A1 < A2 < A3. According to the size relationship between the environment temperature T0 and each preset environment temperature, the threshold adjustment coefficient is selected to adjust the time period threshold P of the pipeline, and the adjusted pipeline time period threshold Pt is obtained, wherein P = Pn, n = 2, 3, 4. When T1 ≤ T0 < T2, the first preset threshold adjustment coefficient A1 is selected to adjust the time period threshold P of the pipeline, and the adjusted pipeline time period threshold Pt = Pn*A1 is obtained. When T2 ≤ T0 < T3, the second preset threshold adjustment coefficient A2 is selected to adjust the time period threshold P of the pipeline, and the adjusted pipeline time period threshold Pt = Pn*A2 is obtained. When T3 ≤ T0, the third preset threshold adjustment coefficient A3 is selected to adjust the time period threshold P of the pipeline, and the adjusted pipeline time period threshold Pt = Pn*A3 is obtained.

[0094] Specifically, the rise and fall of the environment temperature will directly affect the pressure of the gas in the pipeline. At high temperature, the movement speed of gas molecules increases, and the pressure rises; at low temperature, the movement speed of gas molecules slows down, and the pressure decreases. Therefore, with the change of temperature, the gas pressure in the pipeline will also change. By adjusting the threshold of the pipeline according to the temperature, the situation in the pipeline can be better determined, and the false alarm rate of monitoring is reduced. A plurality of preset environment temperatures and corresponding threshold adjustment coefficients are pre-set. These parameters are used to select the corresponding threshold adjustment coefficient according to the size relationship of the current environment temperature T0, so as to adjust the time period threshold Pt of the pipeline.

[0095] It can be understood that the pipeline period threshold is automatically adjusted according to the real-time change of the ambient temperature to ensure that the pipeline can operate stably under different temperature conditions. This helps to prevent false alarms of the pipeline under extreme temperatures, improving the accuracy and reliability of the pipeline system. In addition, it also reduces unnecessary maintenance and intervention, thereby saving resources and costs.

[0096] In some embodiments of the present application, after the pipeline period threshold P is adjusted by the i-th preset adjustment coefficient Ai selected according to the size relationship between the ambient temperature and each preset ambient temperature in step S300, the adjusted pipeline period threshold Pt is obtained, Pt=Pn*Ai, n=2, 3, 4, i=1, 2, 3, and step S200 further includes: collecting the transportation distance S0 of the transportation pipeline, pre-setting the first preset transportation distance S1, the second preset transportation distance S2 and the third preset transportation distance S3, and S1<S2<S3. The threshold adjustment coefficient is selected according to the size relationship between the transportation distance S0 and each preset transportation distance to adjust the adjusted pipeline period threshold Pt twice, and the twice adjusted pipeline period threshold is obtained. When S1≤S0<S2, the first preset threshold adjustment coefficient A1 is selected to adjust the adjusted pipeline period threshold Pt twice, and the twice adjusted pipeline period threshold Pt=Pn*Ai*A1 is obtained. When S2≤S0<S3, the second preset threshold adjustment coefficient A2 is selected to adjust the adjusted pipeline period threshold Pt twice, and the twice adjusted pipeline period threshold Pt=Pn*Ai*A2 is obtained. When S3≤S0, the third preset threshold adjustment coefficient A3 is selected to adjust the adjusted pipeline period threshold Pt twice, and the twice adjusted pipeline period threshold Pt=Pn*Ai*A3 is obtained.

[0097] Specifically, in step S200, after the pipeline period threshold is preliminarily adjusted according to the ambient temperature. The transportation distance is further introduced as another important factor to adjust the pipeline period threshold twice. The purpose of the second adjustment is to further optimize the threshold of the pipeline according to the different transportation distances, so as to ensure the detection accuracy of the pipeline.

[0098] It can be understood that longer transportation distance will increase the pressure loss of natural gas in the pipeline, and shorter transportation distance will produce smaller pressure loss. Therefore, under different transportation distances, the pressure threshold of the pipeline is adjusted according to the actual situation, which helps to improve the accuracy and reliability of the pipeline detection result.

[0099] In some embodiments of the present application, when it is determined that there is a leak in the transportation pipeline in step S400, the initial pressure Yq, the middle pressure Yz and the tail pressure Yw of the transportation pipeline are collected, and the leak position is determined according to the comparison results of the initial pressure Yq, the middle pressure Yz and the tail pressure Yw with the adjusted pipeline period threshold Pt, including: when Yq < Pt, Yz < Pt and Yw < Pt, it is determined that the pipeline initial position leaks. When Yq > Pt, Yz < Pt and Yw < Pt, it is determined that the pipeline middle position leaks. When Yq > Pt, Yz > Pt and Yw < Pt, it is determined that the pipeline end position leaks.

[0100] Specifically, according to the comparison results of different pressure data and pipeline period threshold, it is determined that the leak occurs in which position of the pipeline, i.e. the initial position, the middle position or the end position. According to the comparison results of different pressure data and Pt, the leak position can be accurately determined. This is because the pressure changes caused by different leak positions will be reflected in these data, and by comparison, the data points that do not match the threshold can be found, so as to determine the leak position.

[0101] It can be understood that the leak of the pipeline is detected and located, so that necessary maintenance measures can be taken quickly. By distinguishing whether the leak position is the initial position, the middle position or the end position of the pipeline, the maintenance personnel can deal with the problem more targetedly, reduce the maintenance time and cost, and reduce the potential risk. This method helps to improve the safety and reliability of the natural gas pipeline system.

[0102] In some embodiments of the present application, after determining the leak position in step S400, the leakage amount X0 is collected, and whether to close the pressure regulating station valve for maintenance is determined according to the comparison relationship between the leakage amount X0 and the leakage amount threshold Xmax, including: when X0 < Xmax, it is determined that the pressure regulating station valve is not closed and the vibration data D0 is collected, and whether to close the pressure regulating station valve is further determined according to the vibration data D0. When X0 ≥ Xmax, it is determined to close the pressure regulating station valve and perform pipeline maintenance.

[0103] In some embodiments of the present application, when X0Xmax, it is determined that the valve of the pressure regulating station is not closed and vibration data D0is collected, and whether the valve of the pressure regulating station is closed is further determined according to the vibration data D0, comprising: a vibration threshold Dmax is set in advance, and whether the valve of the pressure regulating station is immediately closed is further determined according to the size relationship between the vibration data D0and the vibration threshold Dmax. When D0Dmax, it is determined that the valve of the pressure regulating station is not immediately closed, and a leakage difference value ΔX=Xmax-X0is obtained, and the delivery pressure E of the pressure regulating station is adjusted according to the leakage difference value ΔX, and a leakage warning is issued. When D0>Dmax, it is determined that the valve of the pressure regulating station is immediately closed. The leakage difference value ΔX=Xmax-X0is obtained, and the delivery pressure E0of the pressure regulating station is adjusted according to the leakage difference value ΔX, comprising: the delivery pressure E0of the pressure regulating station is collected, and a first preset delivery adjustment coefficient B1, a second preset delivery adjustment coefficient B2 and a third preset delivery adjustment coefficient B3 are set in advance, and B1B2B3. A first preset leakage difference value ΔX1, a second preset leakage difference value ΔX2 and a third preset leakage difference value ΔX3 are set in advance, and ΔX1ΔX2ΔX3. When ΔX1≤ΔX<ΔX2, the first preset delivery adjustment coefficient B1 is selected to adjust the delivery pressure E0, and the adjusted delivery pressure E0*B1 is obtained. When ΔX2≤ΔX<ΔX3, the second preset delivery adjustment coefficient B2 is selected to adjust the delivery pressure E0, and the adjusted delivery pressure E0*B2 is obtained. When ΔX3≤ΔX, the third preset delivery adjustment coefficient B3 is selected to adjust the delivery pressure E0, and the adjusted delivery pressure E0*B3 is obtained.

[0104] Specifically, leakage is often accompanied by gas or liquid flowing out of the pipeline, which will produce vibration or vibration around the pipeline. By monitoring these vibration data, leakage events can be detected early. Vibration data is generated in real time and usually has high accuracy and reliability. Vibration data includes amplitude, frequency, etc. According to the comparison of X0and Xmax, it is determined whether to close the valve for maintenance. If X0is less than Xmax, the valve is not immediately closed, but vibration data D0is collected. When X0is less than Xmax, it means that the leakage is small, and further judgment of vibration data is made to determine whether to close the valve. According to the comparison relationship between D0and the vibration threshold Dmax, it is further determined whether to immediately close the valve. When the leakage is small and the vibration amplitude is small, the valve can not be closed, but since there is leakage, the gas supply needs to be increased according to the leakage to meet the use demand. According to the size of ΔX, the appropriate delivery adjustment coefficient is selected to adjust the delivery pressure E0. Whether the valve is immediately closed or not when there is leakage, a maintenance warning needs to be issued to avoid further expansion of the danger, which is beneficial to prolong the service life of the pipeline. Pipeline maintenance includes repair, cleaning or improvement and upgrading.

[0105] It can be understood that the maintenance measures can be flexibly adjusted according to the leakage situation. When the leakage is small or not urgent, the valve can be delayed to close to reduce the downtime, and the vibration data can be collected to further evaluate the situation. If the leakage is serious or needs to be handled urgently, the valve can be closed immediately. In addition, by adjusting the delivery pressure according to the size of △X, the influence range of the leakage can be controlled, the loss can be reduced, and the leakage warning can be sent, which helps to improve the safety and reliability of the pipeline system.

[0106] In some embodiments of the present application, when it is determined that the transportation pipeline is blocked in step S400, the maximum pressure Yd in the transportation pipeline is collected, the maximum pressure Yd is compared with the highest pressure threshold, and whether to close the valve of the pressure regulating station for maintenance is determined according to the comparison result, including: determining whether to close the valve of the pressure regulating station for maintenance according to the size relationship between the maximum pressure Yd and the highest pressure threshold Y1. When Yd≥Y1, it is determined to immediately close the valve of the pressure regulating station for maintenance. When YdY1, it is determined not to immediately close the valve of the pressure regulating station for maintenance, and the actual gas consumption Qy and the actual gas supply Qg are collected, whether to increase the delivery pressure of the pressure regulating station is determined according to the actual gas consumption Qy and the actual gas supply Qg, and a blockage warning is sent.

[0107] Specifically, the actual gas consumption Qy is the product of the normal use natural gas flow rate and the tail end use valve, valve cross-sectional area. The actual gas supply can be calculated by the gas supply end cross-sectional area and the flow rate. In this embodiment, if the maximum pressure Yd is equal to or greater than the preset highest pressure threshold Y1, the system will immediately determine to close the valve of the pressure regulating station for maintenance to ensure the safety of the pipeline. However, if the maximum pressure Yd is less than Y1, it indicates that the pipeline may be slightly blocked, and the system will not immediately close the valve, but will increase the pressure to meet the use demand. Whether to immediately stop the valve or not to stop the valve for pressure increase will send a blockage warning to remind personnel.

[0108] It can be understood that not only the serious blockage situation is responded to, but also the operation of the pipeline system can be intelligently adjusted according to the actual situation to ensure the continuity and efficiency of gas supply, and timely warning is provided when needed, which helps to reduce potential pipeline problems and reduce maintenance cost.

[0109] In some embodiments of the present application, when Yd < Y1, it is determined not to immediately close the valve of the pressure regulating station for maintenance and to collect the actual gas consumption Qy and the actual gas supply Qg, and whether to increase the delivery pressure of the pressure regulating station is determined according to the actual gas consumption Qy and the actual gas supply Qg, including: when Qy ≥ Qg, it is determined not to increase the delivery pressure of the pressure regulating station. When Qy < Qg, it is determined to increase the delivery pressure of the pressure regulating station. When it is determined to increase the delivery pressure of the pressure regulating station, the gas difference value AQ = Qy-Qg is obtained, and the first preset gas difference value AQ1, the second preset gas difference value AQ2 and the third preset gas difference value AQ3 are set in advance. The delivery adjustment coefficient is selected according to the size relationship between the gas difference value AQ and each preset gas difference value to adjust the delivery pressure E0. When AQ1 ≤ AQ < AQ2, the first preset delivery adjustment coefficient A1 is selected to adjust the delivery pressure E0, and the adjusted delivery pressure E0*A1 is obtained. When AQ2 ≤ AQ < AQ3, the second preset delivery adjustment coefficient A2 is selected to adjust the delivery pressure E0, and the adjusted delivery pressure E0*A2 is obtained. When AQ3 ≤ AQ, the third preset delivery adjustment coefficient A3 is selected to adjust the delivery pressure E0, and the adjusted delivery pressure E0*A3 is obtained.

[0110] Specifically, before the pressure is increased, it is also calculated whether the use demand can be met when the pipeline is adjusted to the maximum pressure threshold Y1. When it can be met, the pressure is adjusted according to the difference in use amount. When it still cannot be met at the maximum pressure threshold, the valve is also closed for pipeline maintenance and repair.

[0111] It can be understood that the delivery pressure is intelligently adjusted according to the actual gas consumption and the set threshold to meet the gas supply demand of the pipeline system, so as to guarantee continuous gas supply service. This method has the beneficial effects of optimizing the operation of the pipeline system, reducing the situation of insufficient or excessive gas supply, improving the gas supply efficiency, and ensuring the stability and reliability of the system.

[0112] In another preferred mode based on the above embodiments, referring to FIG. 1, Figures 2-3 The present embodiment provides a large-scale natural gas pipeline network operation system based on distributed technology, which comprises:

[0113] The acquisition unit is configured to acquire pipeline size data, divide pipeline pressure thresholds according to the size data, and set pipeline period thresholds according to the running time, wherein the pressure thresholds include a highest pressure threshold, a high pressure threshold, a normal pressure threshold, a low pressure threshold and a lowest pressure threshold.

[0114] The adjustment unit is configured to acquire the environmental temperature, adjust the pipeline period threshold P according to the environmental temperature, and obtain the adjusted pipeline period threshold Pt.

[0115] The judging unit comprises a first judging module, a second judging module and a third judging module, wherein the first judging module is configured to collect real-time pressure data Y0 of the transportation pipeline, compare the real-time pressure data Y0 with the adjusted pipeline period threshold Pt, and judge whether the natural gas transportation is abnormal according to the comparison result;

[0116] When Y0>1.1Pt or Y0<0.9Pt, it is determined that the natural gas transportation is abnormal;

[0117] When 0.9Pt≤Y0≤1.1Pt, it is determined that the natural gas transportation is not abnormal;

[0118] The first judging module is further configured to, when it is determined that the natural gas transportation is abnormal, collect flow data L0 in the transportation pipeline, pre-set a flow threshold Lmax, compare the flow data L0 with the flow threshold Lmax, and judge the abnormal reason according to the comparison result;

[0119] When L0<Lmax, it is determined that the transportation pipeline is blocked;

[0120] When L0>Lmax, it is determined that the transportation pipeline is leaked;

[0121] The second judging module is configured to, when it is determined that the transportation pipeline is leaked, collect a starting pressure Yq, a middle pressure Yz and a tail pressure Yw of the transportation pipeline, and judge the leakage position according to the comparison results of the starting pressure Yq, the middle pressure Yz and the tail pressure Yw with the adjusted pipeline period threshold Pt respectively;

[0122] After the leakage position is determined, a leakage amount X0 is collected, and whether to close the valve of the pressure regulating station for maintenance is judged according to the comparison relationship between the leakage amount X0 and a leakage threshold Xmax;

[0123] The third judging module is configured to, when it is determined that the transportation pipeline is blocked, collect a maximum pressure Yd in the transportation pipeline, compare the maximum pressure Yd with a maximum pressure threshold, and judge whether to close the valve of the pressure regulating station for maintenance according to the comparison result.

[0124] It can be understood that the large-scale natural gas pipeline network operation method and system based on the distributed technology have the same beneficial effects, which will not be described here.

[0125] Those skilled in the art will understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can be in the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0126] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0127] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0128] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0129] Finally, it should be noted that the above-mentioned embodiments are merely intended for describing the technical solutions of the present application, but not for limiting thereof. Although the present application is described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalent replaced without departing from the spirit and scope of the present application, and any modification or equivalent replacement should be covered in the protection scope of the claims of the present application.

Claims

1. A large-scale natural gas pipeline network operation method based on distributed technology, characterized by, The method comprises the following steps: Collecting the size data of the transportation pipeline, dividing the pipeline pressure threshold according to the size data, the pressure threshold comprising the highest pressure threshold, the high pressure threshold, the normal pressure threshold, the low pressure threshold and the lowest pressure threshold, collecting the current running time, setting the pipeline time period threshold P according to the running time; Collecting the environmental temperature, adjusting the pipeline time period threshold P according to the environmental temperature, and obtaining the adjusted pipeline time period threshold Pt; Collecting the real-time pressure data Y0 of the transportation pipeline, comparing the real-time pressure data Y0 with the adjusted pipeline time period threshold Pt, and judging whether the natural gas transportation is abnormal according to the comparison result; When Y0>1.1Pt or Y0<0.9Pt, it is determined that the natural gas transportation is abnormal; When 0.9Pt≤Y0≤1.1Pt, it is determined that the natural gas transportation is normal; When it is determined that the natural gas transportation is abnormal, collecting the flow data L0 in the transportation pipeline, pre-setting the flow threshold Lmax, comparing the flow data L0 with the flow threshold Lmax, and judging the abnormal reason according to the comparison result; When L0<Lmax, it is determined that the transportation pipeline is blocked; When L0>Lmax, it is determined that the transportation pipeline is leaked; When it is determined that the transportation pipeline is leaked, collecting the starting pressure Yq, the middle pressure Yz and the tail pressure Yw of the transportation pipeline, and judging the leakage position according to the comparison result of the starting pressure Yq, the middle pressure Yz and the tail pressure Yw with the adjusted pipeline time period threshold Pt; After determining the leakage position, collecting the leakage amount X0, and judging whether to close the valve of the pressure regulating station for maintenance according to the comparison relationship between the leakage amount X0 and the leakage threshold Xmax; When it is determined that the transportation pipeline is blocked, collecting the maximum pressure Yd in the transportation pipeline, comparing the maximum pressure Yd with the highest pressure threshold, and judging whether to close the valve of the pressure regulating station for maintenance according to the comparison result; Collecting the environmental temperature, adjusting the pipeline time period threshold P according to the environmental temperature, and obtaining the adjusted pipeline time period threshold Pt, comprising: Pre-setting the first preset environmental temperature T1, the second preset environmental temperature T2 and the third preset environmental temperature T3, and T1<T2<T3; pre-setting the first preset threshold adjustment coefficient A1, the second preset threshold adjustment coefficient A2 and the third preset threshold adjustment coefficient A3, and A1<A2<A3; selecting the threshold adjustment coefficient according to the size relationship between the environmental temperature T0 and each preset environmental temperature to adjust the pipeline time period threshold P, and obtaining the adjusted pipeline time period threshold Pt, wherein P=Pn, n=2, 3, 4; When T1≤T0<T2, the first preset threshold adjustment coefficient A1 is selected to adjust the pipeline time period threshold P, and the adjusted pipeline time period threshold Pt=Pn*A1 is obtained; When T2≤T0<T3, the second preset threshold adjustment coefficient A2 is selected to adjust the pipeline time period threshold P, and the adjusted pipeline time period threshold Pt=Pn*A2 is obtained; When T3≤T0, the third preset threshold adjustment coefficient A3 is selected to adjust the pipeline period threshold value P, and an adjusted pipeline period threshold value Pt=Pn*A3 is obtained.

2. The large-scale natural gas pipeline network operation method based on distributed technology according to claim 1, characterized by, The current running time is collected, and the pipeline period threshold value is set according to the running time, including: The first preset time range F1, the second preset time range F2 and the third preset time range F3 are set in advance; and the pipeline period threshold value is set according to the running time; When the running time is in the first preset time range F1, the pipeline period threshold value is determined as a normal pressure threshold value, that is, P=P3; When the running time is in the second preset time range F2, the pipeline period threshold value is determined as a high pressure threshold value, that is, P=P2; When the running time is in the third preset time range F3, the pipeline period threshold value is determined as a low pressure threshold value, that is, P=P4.

3. The large-scale natural gas pipeline network operation method based on distributed technology according to claim 2, characterized by, After the i-th preset threshold adjustment coefficient Ai is selected according to the size relationship between the environmental temperature T0 and each preset environmental temperature to adjust the pipeline period threshold value P, and an adjusted pipeline period threshold value Pt is obtained, Pt=Pn*Ai, n=2, 3, 4, i=1, 2, 3, further including: The transportation distance S0 of the pipeline is collected, the first preset transportation distance S1, the second preset transportation distance S2 and the third preset transportation distance S3 are set in advance, and S1<S2<S3; and the threshold adjustment coefficient is selected according to the size relationship between the transportation distance S0 and each preset transportation distance to adjust the adjusted pipeline period threshold value Pt for the second time, and a second adjusted pipeline period threshold value is obtained; When S1≤S0<S2, the first preset threshold adjustment coefficient A1 is selected to adjust the adjusted pipeline period threshold value Pt for the second time, and a second adjusted pipeline period threshold value Pt=Pn*Ai*A1 is obtained; When S2≤S0<S3, the second preset threshold adjustment coefficient A2 is selected to adjust the adjusted pipeline period threshold value Pt for the second time, and a second adjusted pipeline period threshold value Pt=Pn*Ai*A2 is obtained; When S3≤S0, the third preset threshold adjustment coefficient A3 is selected to adjust the adjusted pipeline period threshold value Pt for the second time, and a second adjusted pipeline period threshold value Pt=Pn*Ai*A3 is obtained.

4. The large-scale natural gas pipeline network operation method based on distributed technology according to claim 3, characterized by, When it is determined that the pipeline leaks, the starting pressure Yq, the middle pressure Yz and the tail pressure Yw of the pipeline are collected, and the leakage position is determined according to the comparison results of the starting pressure Yq, the middle pressure Yz and the tail pressure Yw with the adjusted pipeline period threshold value Pt, including: When Yq<Pt, Yz<Pt and Yw<Pt, it is determined that the pipeline starting position leaks; When Yq>Pt, Yz<Pt and Yw<Pt, it is determined that the pipeline middle position leaks; When Yq>Pt, Yz>Pt and Yw<Pt, it is determined that the pipeline end position leaks.

5. The large-scale natural gas pipeline network operation method based on distributed technology according to claim 4, characterized in that, After the leakage position is determined, the leakage amount X0 is collected, and whether to close the pressure regulating station valve for maintenance is determined according to the comparison relationship between the leakage amount X0 and the leakage amount threshold value Xmax, including: When X0Xmax, it is determined to close the valve of the pressure regulating station and to maintain the pipeline. When X0Xmax, it is determined to close the valve of the pressure regulating station and to maintain the pipeline.

6. The large-scale natural gas pipeline network operation method based on distributed technology according to claim 5, characterized in that, When X0Xmax, it is determined to close the valve of the pressure regulating station and to maintain the pipeline, comprising: A vibration threshold Dmax is set in advance, and whether to immediately close the valve of the pressure regulating station is further determined according to the size relationship between the vibration data D0 and the vibration threshold Dmax. When D0Dmax, it is determined not to immediately close the valve of the pressure regulating station, and a leakage difference value ΔX=Xmax-X0 is obtained, the delivery pressure E of the pressure regulating station is adjusted according to the leakage difference value ΔX, and a leakage warning is issued. When D0Dmax, it is determined to immediately close the valve of the pressure regulating station. The leakage difference value ΔX=Xmax-X0 is obtained, and the delivery pressure E0 of the pressure regulating station is adjusted according to the leakage difference value ΔX, comprising: The delivery pressure E0 of the pressure regulating station is collected, and a first preset delivery adjustment coefficient B1, a second preset delivery adjustment coefficient B2 and a third preset delivery adjustment coefficient B3 are set in advance, and B1B2B3; a first preset leakage difference value ΔX1, a second preset leakage difference value ΔX2 and a third preset leakage difference value ΔX3 are set in advance, and ΔX1ΔX2ΔX3; When ΔX1≤ΔX<ΔX2, the first preset delivery adjustment coefficient B1 is selected to adjust the delivery pressure E0, and the adjusted delivery pressure E0*B1 is obtained. When ΔX2≤ΔX<ΔX3, the second preset delivery adjustment coefficient B2 is selected to adjust the delivery pressure E0, and the adjusted delivery pressure E0*B2 is obtained. When ΔX3≤ΔX, the third preset delivery adjustment coefficient B3 is selected to adjust the delivery pressure E0, and the adjusted delivery pressure E0*B3 is obtained.

7. The large-scale natural gas pipeline network operation method based on distributed technology according to claim 6, characterized in that, When it is determined that the transportation pipeline exists blockage, the maximum pressure Yd in the transportation pipeline is collected, and the maximum pressure Yd is compared with the highest pressure threshold, and whether to close the valve of the pressure regulating station for maintenance is determined according to the comparison result, and the highest pressure threshold is Y1, comprising: Whether to close the valve of the pressure regulating station for maintenance is determined according to the size relationship between the maximum pressure Yd and the highest pressure threshold Y1; When Yd≥Y1, it is determined to immediately close the valve of the pressure regulating station for maintenance; When YdY1, it is determined not to immediately close the valve of the pressure regulating station for maintenance, and the actual gas consumption Qy and the actual gas supply Qg are collected, and whether to increase the delivery pressure of the pressure regulating station is determined according to the actual gas consumption Qy and the actual gas supply Qg, and a blockage warning is issued.

8. The large-scale natural gas pipeline network operation method based on distributed technology according to claim 7, characterized in that, When YdY1, it is determined not to immediately close the valve of the pressure regulating station for maintenance, and the actual gas consumption Qy and the actual gas supply Qg are collected, and whether to increase the delivery pressure of the pressure regulating station is determined according to the actual gas consumption Qy and the actual gas supply Qg, comprising: When Qy≥Qg, it is determined not to increase the delivery pressure of the pressure regulating station. When QyQg, it is determined to increase the delivery pressure of the pressure regulating station. When determining the delivery pressure of the pressure regulating station, a gas quantity difference value ΔQ=Qy-Qg is obtained, and a first preset gas quantity difference value ΔQ1, a second preset gas quantity difference value ΔQ2 and a third preset gas quantity difference value ΔQ3 are preset, and a delivery adjustment coefficient is selected according to the size relationship between the gas quantity difference value ΔQ and each preset gas quantity difference value to adjust the delivery pressure E0; When ΔQ1≤ΔQ<ΔQ2, the first preset delivery adjustment coefficient B1 is selected to adjust the delivery pressure E0, and an adjusted delivery pressure E0*B1 is obtained; When ΔQ2≤ΔQ<ΔQ3, the second preset delivery adjustment coefficient B2 is selected to adjust the delivery pressure E0, and an adjusted delivery pressure E0*B2 is obtained; When ΔQ3≤ΔQ, the third preset delivery adjustment coefficient B3 is selected to adjust the delivery pressure E0, and an adjusted delivery pressure E0*B3 is obtained.

9. A large-scale natural gas pipeline network operation system based on distributed technology, characterized by, Comprise: The acquisition unit is configured to acquire transportation pipeline size data, divide pipeline pressure threshold values according to the size data, the pressure threshold values comprising a highest pressure threshold value, a high pressure threshold value, a normal pressure threshold value, a low pressure threshold value and a lowest pressure threshold value, acquire a current running time, and set a pipeline time period threshold value P according to the running time; The adjustment unit is configured to acquire an environmental temperature, adjust the pipeline time period threshold value P according to the environmental temperature, and obtain an adjusted pipeline time period threshold value Pt; The judgment unit comprises a first judgment module, a second judgment module and a third judgment module, wherein the first judgment module is configured to acquire real-time pressure data Y0 of the transportation pipeline, compare the real-time pressure data Y0 with the adjusted pipeline time period threshold value Pt, and judge whether natural gas transportation is abnormal according to a comparison result; When Y0>1.1Pt or Y0<0.9Pt, it is determined that natural gas transportation is abnormal; When 0.9Pt≤Y0≤1.1Pt, it is determined that natural gas transportation is not abnormal; The first judgment module is further configured to, when it is determined that natural gas transportation is abnormal, acquire flow data L0 in the transportation pipeline, preset a flow threshold value Lmax, compare the flow data L0 with the flow threshold value Lmax, and judge an abnormal reason according to a comparison result; When L0<Lmax, it is determined that the transportation pipeline is blocked; When L0>Lmax, it is determined that the transportation pipeline is leaked; The second judgment module is configured to, when it is determined that the transportation pipeline is leaked, acquire a starting pressure Yq, a middle pressure Yz and a tail pressure Yw of the transportation pipeline, and judge a leakage position according to comparison results of the starting pressure Yq, the middle pressure Yz and the tail pressure Yw with the adjusted pipeline time period threshold value Pt respectively; After determining the leakage position, a leakage quantity X0 is acquired, and whether to close a pressure regulating station valve for maintenance is judged according to a comparison relationship between the leakage quantity X0 and a leakage quantity threshold value Xmax; The third judging module is configured to collect the maximum pressure Yd in the transportation pipeline when judging that the transportation pipeline is blocked, compare the maximum pressure Yd with the highest pressure threshold, and judge whether to close the valve of the pressure regulating station for maintenance according to the comparison result; Collecting an ambient temperature, adjusting the pipeline time period threshold P according to the ambient temperature to obtain an adjusted pipeline time period threshold Pt, comprising: Pre-setting a first preset ambient temperature T1, a second preset ambient temperature T2 and a third preset ambient temperature T3, and T1 When T1≤T0 When T2≤T0 When T3≤T0

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