A natural gas pipeline transportation tracking system and method

Abstract

This invention relates to the field of natural gas pipeline technology and discloses a natural gas pipeline transportation tracking system and method, comprising: an instruction sending module, a data detection module, a leakage calculation module, a leakage judgment module, a matrix construction module, a leakage determination module, and a tracking alarm module. The instruction sending module sends parameter detection instructions to the detection equipment; the data detection module detects the real-time parameter detection values ​​of the natural gas pipeline; the leakage calculation module calculates the pressure judgment factor and the gas concentration judgment factor; the leakage judgment module determines whether there is a leakage risk in the natural gas pipeline; the matrix construction module constructs a flow velocity sequence based on the flow velocity information of the natural gas pipeline; the leakage determination module determines the leakage point of the natural gas pipeline; and the tracking alarm module issues an alarm based on the leakage amount. This invention can accurately track the transportation process of natural gas pipelines, effectively avoid gas leakage in natural gas pipelines, and greatly improve the safety and stability of natural gas pipeline transportation.

Description

Technical Field

[0001] This invention relates to the field of natural gas pipeline technology, and in particular to a natural gas pipeline transportation tracking system and method. Background Technology

[0002] Natural gas pipelines are pipelines that transport natural gas from extraction sites or processing plants to urban gas distribution centers or industrial users; they are also known as gas transmission pipelines. Using natural gas pipelines to transport natural gas is the primary method for transporting large quantities of natural gas overland.

[0003] Natural gas pipeline transportation offers advantages such as low transportation costs, small land occupation, rapid construction, large oil and gas transport capacity, high safety performance, low transportation losses, no waste emissions, low risk of leakage, low environmental pollution, minimal impact from severe weather, low equipment maintenance, ease of management, and easy remote centralized monitoring. However, practical applications of natural gas pipelines have encountered challenges: natural gas pipelines transport flammable, explosive, volatile, and static-electrostatically charged gases. Accidents leading to natural gas leaks can easily cause fires and explosions, resulting in catastrophic disasters. Current natural gas transportation tracking systems are limited to tracking and management at the operational transfer stage, i.e., managing the pipeline's origin. However, tracking information is lacking during the transportation process, thus posing a continued safety hazard.

[0004] Therefore, how to provide a precise and effective transportation tracking system and method for natural gas pipelines is a technical problem that needs to be solved. Summary of the Invention

[0005] This invention provides a natural gas pipeline transportation tracking system and method to solve the technical problem that the existing technology cannot accurately and effectively track and manage the transportation process of natural gas pipelines, and cannot avoid the safety hazards that still exist in the transportation process of natural gas pipelines.

[0006] To achieve the above objectives, the present invention provides a natural gas pipeline transportation tracking system, the system comprising:

[0007] The instruction sending module is used to acquire the location information of the natural gas pipeline and send parameter detection instructions to the detection equipment pre-deployed in the natural gas pipeline based on the location information;

[0008] The data detection module is used to control the detection equipment to perform real-time detection of the internal parameters of the natural gas pipeline according to the parameter detection command, and to obtain real-time parameter detection values, wherein the real-time parameter detection values ​​include multiple real-time pressure detection values ​​and multiple real-time gas concentration detection values;

[0009] The leakage calculation module is used to calculate the pressure judgment factor and gas concentration judgment factor of the natural gas pipeline based on multiple real-time pressure detection values ​​and multiple real-time gas concentration detection values.

[0010] The leakage detection module is used to determine whether there is a leakage risk in the natural gas pipeline based on the pressure detection factor and the gas concentration detection factor.

[0011] The matrix construction module is used to collect the flow velocity information of the natural gas pipeline at a preset time based on the flow velocity detection equipment pre-deployed in the natural gas pipeline when there is a risk of leakage in the natural gas pipeline, and to construct a flow velocity sequence.

[0012] A leak detection module is used to determine the leak point of the natural gas pipeline based on the flow rate sequence;

[0013] The tracking alarm module is used to detect the amount of natural gas leaking at the leak point and issue an alarm reminder in real time based on the amount of natural gas leaking.

[0014] In one embodiment, the leakage calculation module is specifically used for:

[0015] The leakage calculation module is used to acquire all real-time pressure detection values ​​and generate a first data set;

[0016] The leakage calculation module is used to acquire all real-time gas concentration detection values ​​and generate a second dataset;

[0017] The leakage calculation module is used to construct a pressure detection curve based on the first data set;

[0018] The leakage calculation module is used to construct a gas concentration detection curve based on the second data set;

[0019] The leakage calculation module is used to analyze the pressure detection curve and determine the maximum and minimum pressure detection values ​​in the pressure detection curve.

[0020] The leakage calculation module is used to analyze the gas concentration detection curve and determine the maximum and minimum gas concentration detection values ​​in the gas concentration detection curve.

[0021] The leakage calculation module is used to obtain preset pressure detection thresholds and gas concentration detection thresholds;

[0022] The leakage calculation module is used to calculate the pressure judgment factor of the natural gas pipeline based on the maximum pressure detection value, the minimum pressure detection value, and the pressure detection threshold.

[0023]

[0024] Where Z1 is the pressure judgment factor of the natural gas pipeline, Tmax is the maximum pressure detection value, Tmin is the minimum pressure detection value, T is the pressure detection threshold, and e is a constant;

[0025] The leakage calculation module is used to calculate the gas concentration judgment factor of the natural gas pipeline based on the maximum gas concentration detection value, the minimum gas concentration detection value, and the gas concentration detection threshold.

[0026]

[0027] Where Z2 is the pressure judgment factor of the natural gas pipeline, Pmax is the maximum gas concentration detection value, Pmin is the minimum gas concentration detection value, P is the gas concentration detection threshold, and e is a constant.

[0028] In one embodiment, the leakage calculation module is specifically used for:

[0029] The leakage calculation module is used to obtain the preset pressure judgment factor and the preset gas concentration judgment factor;

[0030] The leakage calculation module is used to determine that there is a risk of leakage in the natural gas pipeline when the pressure judgment factor is greater than or equal to the preset pressure judgment factor and the gas concentration judgment factor is greater than or equal to the preset gas concentration judgment factor.

[0031] The leakage calculation module is used to determine that there is no risk of leakage in the natural gas pipeline when the pressure judgment factor is less than the preset pressure judgment factor and the gas concentration judgment factor is less than the preset gas concentration judgment factor.

[0032] The leakage calculation module is used to determine that there is a risk of leakage in the natural gas pipeline when the pressure judgment factor is greater than or equal to the preset pressure judgment factor and the gas concentration judgment factor is less than the preset gas concentration judgment factor.

[0033] The leakage calculation module is used to determine that there is a leakage risk in the natural gas pipeline when the pressure judgment factor is less than the preset pressure judgment factor and the gas concentration judgment factor is greater than or equal to the preset gas concentration judgment factor.

[0034] In one embodiment, the matrix construction module is specifically used for:

[0035] The matrix construction module is used to determine the pipeline type of the natural gas pipeline based on the location information of the natural gas pipeline, and extract the pipeline structure of the natural gas pipeline from the pipeline type-structure database based on the pipeline type;

[0036] The matrix construction module is used to obtain historical leakage data of the natural gas pipeline, and to divide the natural gas pipeline into regions based on the historical leakage data and the pipeline structure.

[0037] The matrix construction module is used to assign risk values ​​to each segmented region based on the historical leakage data;

[0038] The matrix construction module is used to obtain the region size A of each partitioned region, and set the initial number of samples for the corresponding partitioned region based on the region size A;

[0039] The matrix construction module is used to obtain the risk assignment E for each partitioned region, and to correct the initial number of samples based on the risk assignment E, and to use the corrected initial number of samples as the target number of samples for the corresponding partitioned region.

[0040] The matrix construction module is used to uniformly set sampling points based on the target number of samples, and to collect the flow velocity information of the sampling points at a specified time based on the flow velocity detection device.

[0041] In one embodiment, the matrix construction module is specifically used for:

[0042] The matrix construction module is used to pre-set the first preset region size B1, the second preset region size B2, the third preset region size B3, and the fourth preset region size B4, where B1 < B2 < B3 < B4.

[0043] The matrix construction module is used to pre-set a first preset initial sampling number C1, a second preset initial sampling number C2, a third preset initial sampling number C3, a fourth preset initial sampling number C4, and a fifth preset initial sampling number C5, where C1 < C2 < C3 < C4 < C5.

[0044] The matrix construction module is used to set the initial number of samples for dividing the region according to the relationship between the region size A and the sizes of each preset region.

[0045] In one embodiment, the matrix construction module is specifically used for:

[0046] The matrix construction module is used to select the first preset initial sampling number C1 as the initial sampling number of the divided region when A < B1;

[0047] The matrix construction module is used to select the second preset initial sampling number C2 as the initial sampling number of the divided region when B1≤A<B2;

[0048] The matrix construction module is used to select the third preset initial sampling number C3 as the initial sampling number of the divided region when B2≤A<B3;

[0049] The matrix construction module is used to select the fourth preset initial sampling number C4 as the initial sampling number of the divided region when B3≤A<B4;

[0050] The matrix construction module is used to select the fifth preset initial sampling number C5 as the initial sampling number of the divided region when B4≤A.

[0051] In one embodiment, the matrix construction module is specifically used for:

[0052] The matrix construction module is used to pre-set a first preset risk value G1, a second preset risk value G2, a third preset risk value G3, and a fourth preset risk value G4, where G1 < G2 < G3 < G4.

[0053] The matrix construction module is used to pre-set a first preset initial sampling number correction coefficient h1, a second preset initial sampling number correction coefficient h2, a third preset initial sampling number correction coefficient h3, a fourth preset initial sampling number correction coefficient h4, and a fifth preset initial sampling number correction coefficient h5, and 0.8 < h1 < h2 < h3 < h4 < h5 < 1.2;

[0054] The matrix construction module is used to modify the initial sampling number of the divided region according to the relationship between the risk assignment value E and each preset risk assignment value when the initial sampling number of the divided region is set to the i-th preset initial sampling number Ci, i = 1, 2, 3, 4, 5.

[0055] In one embodiment, the matrix construction module is specifically used for:

[0056] The matrix construction module is used to select the first preset initial sampling number correction coefficient h1 to correct the i-th preset initial sampling number Ci when E < G1, and the initial sampling number of the divided region after correction is Ci*h1;

[0057] The matrix construction module is used to select the second preset initial sampling number correction coefficient h2 to correct the i-th preset initial sampling number Ci when G1≤E<G2, and the initial sampling number of the divided region after correction is Ci*h2;

[0058] The matrix construction module is used to select the third preset initial sampling number correction coefficient h3 to correct the i-th preset initial sampling number Ci when G2≤E<G3, and the initial sampling number of the divided region after correction is Ci*h3;

[0059] The matrix construction module is used to select the fourth preset initial sampling number correction coefficient h4 to correct the i-th preset initial sampling number Ci when G3≤E<G4, and the initial sampling number of the divided region after correction is Ci*h4;

[0060] The matrix construction module is used to select the fifth preset initial sampling number correction coefficient h5 to correct the i-th preset initial sampling number Ci when G4≤E, and the initial sampling number of the divided region after correction is Ci*h5.

[0061] In one embodiment, the leakage determination module is specifically used for:

[0062] The leakage determination module is used to extract all flow velocity data in the flow velocity sequence and generate a flow velocity data-time image;

[0063] The leakage determination module is used to determine the flow range of the corresponding sampling point based on the flow velocity data-time image;

[0064] The leakage determination module is used to determine the leakage point of the natural gas pipeline based on the flow data and the flow range of the corresponding sampling point;

[0065] The leakage determination module is used to determine that the corresponding sampling point is a leakage point of the natural gas pipeline when the flow data is not within the flow range.

[0066] To achieve the above objectives, the present invention provides a method for tracking natural gas pipeline transportation, the method comprising:

[0067] Obtain the location information of the natural gas pipeline, and send parameter detection commands to the detection equipment pre-deployed in the natural gas pipeline based on the location information;

[0068] The detection device is controlled according to the parameter detection command to perform real-time detection of the internal parameters of the natural gas pipeline and obtain real-time parameter detection values, wherein the real-time parameter detection values ​​include multiple real-time pressure detection values ​​and multiple real-time gas concentration detection values;

[0069] The pressure judgment factor and gas concentration judgment factor of the natural gas pipeline are calculated based on multiple real-time pressure detection values ​​and multiple real-time gas concentration detection values.

[0070] Based on the pressure judgment factor and the gas concentration judgment factor, determine whether there is a risk of leakage in the natural gas pipeline;

[0071] When there is a risk of leakage in the natural gas pipeline, the flow rate information of the natural gas pipeline at a preset time is collected based on the flow rate detection equipment pre-deployed in the natural gas pipeline, and a flow rate sequence is constructed.

[0072] The leak point of the natural gas pipeline was determined based on the flow velocity sequence;

[0073] The system detects the amount of natural gas leaking at the leak point and issues an alarm in real time based on the amount of natural gas leaking.

[0074] This invention provides a natural gas pipeline transportation tracking system and method, which has the following advantages compared with the prior art:

[0075] This invention discloses a natural gas pipeline transportation tracking system and method, comprising: an instruction sending module, a data detection module, a leak calculation module, a leak judgment module, a matrix construction module, a leak determination module, and a tracking alarm module. The instruction sending module sends parameter detection instructions to the detection equipment; the data detection module detects the real-time parameter detection values ​​of the natural gas pipeline; the leak calculation module calculates the pressure judgment factor and the gas concentration judgment factor; the leak judgment module determines whether there is a leak risk in the natural gas pipeline; the matrix construction module constructs a flow velocity sequence based on the flow velocity information of the natural gas pipeline; the leak determination module determines the leak point of the natural gas pipeline; and the tracking alarm module issues an alarm based on the leakage amount. This invention can accurately track the transportation process of natural gas pipelines, effectively avoid gas leakage in natural gas pipelines, and greatly improve the safety and stability of natural gas pipeline transportation. Attached Figure Description

[0076] Figure 1 A schematic diagram of a natural gas pipeline transportation tracking system according to an embodiment of the present invention is shown;

[0077] Figure 2 A flowchart illustrating a natural gas pipeline transportation tracking method according to an embodiment of the present invention is shown. Detailed Implementation

[0078] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0079] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0080] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0081] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0082] The following is a description of preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0083] like Figure 1 As shown, an embodiment of the present invention discloses a natural gas pipeline transportation tracking system, the system comprising: an instruction sending module, a data detection module, a leak calculation module, a leak judgment module, a matrix construction module, a leak determination module, and a tracking alarm module.

[0084] In some embodiments of this application, the instruction sending module is used to acquire the location information of the natural gas pipeline and send parameter detection instructions to the detection equipment pre-deployed in the natural gas pipeline based on the location information; the data detection module is used to control the detection equipment to perform real-time detection of the internal parameters of the natural gas pipeline according to the parameter detection instructions and obtain real-time parameter detection values, wherein the real-time parameter detection values ​​include multiple real-time pressure detection values ​​and multiple real-time gas concentration detection values; the leakage calculation module is used to calculate the pressure judgment factor and gas concentration judgment factor of the natural gas pipeline based on the multiple real-time pressure detection values ​​and multiple real-time gas concentration detection values; the leakage judgment module is used to determine whether there is a leakage risk in the natural gas pipeline based on the pressure judgment factor and the gas concentration judgment factor; the matrix construction module is used to collect the flow velocity information of the natural gas pipeline at a preset time based on the flow velocity detection equipment pre-deployed in the natural gas pipeline when there is a leakage risk in the natural gas pipeline, and construct a flow velocity sequence; the leakage determination module is used to determine the leakage point of the natural gas pipeline based on the flow velocity sequence; and the tracking alarm module is used to detect the amount of natural gas leakage at the leakage point and issue an alarm reminder in real time based on the amount of natural gas leakage.

[0085] In this embodiment, the detection equipment is a pressure detection device and a gas concentration detection device.

[0086] In this embodiment, the parameter detection command refers to the detection command sent to the pressure detection device and the gas concentration detection device, which is used to control the behavior of the detection device.

[0087] In this embodiment, when detecting the gas concentration in the natural gas pipeline, the gas being detected is methane.

[0088] In this embodiment, the flow rate sequence includes flow rate data from several natural gas pipelines.

[0089] The beneficial effects of the above technical solution are: the present invention can accurately track the transportation process of natural gas pipelines, effectively avoid gas leakage in natural gas pipelines, and greatly improve the safety and stability of natural gas pipeline transportation.

[0090] In some embodiments of this application, the leakage calculation module is specifically used for:

[0091] The leakage calculation module is used to acquire all real-time pressure detection values ​​and generate a first data set;

[0092] The leakage calculation module is used to acquire all real-time gas concentration detection values ​​and generate a second dataset;

[0093] The leakage calculation module is used to construct a pressure detection curve based on the first data set;

[0094] The leakage calculation module is used to construct a gas concentration detection curve based on the second data set;

[0095] The leakage calculation module is used to analyze the pressure detection curve and determine the maximum and minimum pressure detection values ​​in the pressure detection curve.

[0096] The leakage calculation module is used to analyze the gas concentration detection curve and determine the maximum and minimum gas concentration detection values ​​in the gas concentration detection curve.

[0097] The leakage calculation module is used to obtain preset pressure detection thresholds and gas concentration detection thresholds;

[0098] The leakage calculation module is used to calculate the pressure judgment factor of the natural gas pipeline based on the maximum pressure detection value, the minimum pressure detection value, and the pressure detection threshold.

[0099]

[0100] Where Z1 is the pressure judgment factor of the natural gas pipeline, Tmax is the maximum pressure detection value, Tmin is the minimum pressure detection value, T is the pressure detection threshold, and e is a constant;

[0101] The leakage calculation module is used to calculate the gas concentration judgment factor of the natural gas pipeline based on the maximum gas concentration detection value, the minimum gas concentration detection value, and the gas concentration detection threshold.

[0102]

[0103] Where Z2 is the pressure judgment factor of the natural gas pipeline, Pmax is the maximum gas concentration detection value, Pmin is the minimum gas concentration detection value, P is the gas concentration detection threshold, and e is a constant.

[0104] In this embodiment, when detecting the pressure inside the natural gas pipeline, the detection time interval is set in advance, such as detecting once every 30 seconds.

[0105] In this embodiment, when detecting the gas concentration in the natural gas pipeline, the detection time interval is set in advance, such as detecting once every 30 seconds.

[0106] In this embodiment, all real-time gas concentration detection values ​​or real-time pressure detection values ​​are plotted on a curve, which includes an X-axis and a Y-axis. The X-axis is set with time, and the Y-axis is set with specific real-time gas concentration detection values ​​or real-time pressure detection values.

[0107] In this embodiment, the peak values, i.e., the maximum and minimum values, can be directly determined from the pressure detection curve or the gas concentration detection curve.

[0108] In this embodiment, e is a constant, and e is set to 2.71.

[0109] The beneficial effects of the above technical solution are as follows: This invention calculates the pressure judgment factor of the natural gas pipeline based on the maximum pressure detection value, the minimum pressure detection value, and the pressure detection threshold, and calculates the gas concentration judgment factor of the natural gas pipeline based on the maximum gas concentration detection value, the minimum gas concentration detection value, and the gas concentration detection threshold. This can lay the foundation for subsequent judgment of whether there is a risk of leakage in the natural gas pipeline, provide reliable data support, and ensure the accuracy of the judgment.

[0110] In some embodiments of this application, the leakage calculation module is specifically used for:

[0111] The leakage calculation module is used to obtain the preset pressure judgment factor and the preset gas concentration judgment factor;

[0112] The leakage calculation module is used to determine that there is a risk of leakage in the natural gas pipeline when the pressure judgment factor is greater than or equal to the preset pressure judgment factor and the gas concentration judgment factor is greater than or equal to the preset gas concentration judgment factor.

[0113] The leakage calculation module is used to determine that there is no risk of leakage in the natural gas pipeline when the pressure judgment factor is less than the preset pressure judgment factor and the gas concentration judgment factor is less than the preset gas concentration judgment factor.

[0114] The leakage calculation module is used to determine that there is a risk of leakage in the natural gas pipeline when the pressure judgment factor is greater than or equal to the preset pressure judgment factor and the gas concentration judgment factor is less than the preset gas concentration judgment factor.

[0115] The leakage calculation module is used to determine that there is a leakage risk in the natural gas pipeline when the pressure judgment factor is less than the preset pressure judgment factor and the gas concentration judgment factor is greater than or equal to the preset gas concentration judgment factor.

[0116] In this embodiment, the preset pressure judgment factor and preset gas concentration judgment factor can be set according to the actual situation of the natural gas pipeline. The standards for each natural gas pipeline are different, so no specific limitation is made here.

[0117] The beneficial effects of the above technical solution are: the present invention determines whether there is a risk of leakage in a natural gas pipeline based on the pressure judgment factor, the gas concentration judgment factor, the preset pressure judgment factor, and the preset gas concentration judgment factor. The judgment result can be obtained intuitively, reducing the complexity of the work and improving the efficiency of work and transportation tracking.

[0118] In some embodiments of this application, the matrix construction module is specifically used for:

[0119] The matrix construction module is used to determine the pipeline type of the natural gas pipeline based on the location information of the natural gas pipeline, and extract the pipeline structure of the natural gas pipeline from the pipeline type-structure database based on the pipeline type;

[0120] The matrix construction module is used to obtain historical leakage data of the natural gas pipeline, and to divide the natural gas pipeline into regions based on the historical leakage data and the pipeline structure.

[0121] The matrix construction module is used to assign risk values ​​to each segmented region based on the historical leakage data;

[0122] The matrix construction module is used to obtain the region size A of each partitioned region, and set the initial number of samples for the corresponding partitioned region based on the region size A;

[0123] The matrix construction module is used to obtain the risk assignment E for each partitioned region, and to correct the initial number of samples based on the risk assignment E, and to use the corrected initial number of samples as the target number of samples for the corresponding partitioned region.

[0124] The matrix construction module is used to uniformly set sampling points based on the target number of samples, and to collect the flow velocity information of the sampling points at a specified time based on the flow velocity detection device.

[0125] In this embodiment, different types of natural gas pipelines will be deployed according to the actual situation. Therefore, the pipeline type of natural gas pipeline can be determined based on the location information of the natural gas pipeline.

[0126] In this embodiment, each natural gas pipeline has a different pipeline structure, such as length and diameter. Therefore, a pipeline type-structure database is preset, and the pipeline structure of the natural gas pipeline can be directly determined according to the pipeline type.

[0127] In this embodiment, the natural gas pipeline can be divided into regions using a random division rule, ensuring that each divided region is complete.

[0128] In this embodiment, when there are many historical leakage points in the divided area, the risk value will be higher. The specific risk value can be assigned according to the actual situation.

[0129] In this embodiment, the number of samples corresponds to the number of sampling points, that is, one sampling point corresponds to one number of samples.

[0130] In this embodiment, sampling points are evenly set based on the target number of samples.

[0131] The beneficial effects of the above technical solution are: by dividing the region and obtaining the corresponding target sampling number according to the divided region, the present invention can ensure the accuracy of the data and avoid large deviations. At the same time, by uniformly setting the sampling points, the uniformity of data collection can be further improved.

[0132] In some embodiments of this application, the matrix construction module is specifically used for:

[0133] The matrix construction module is used to pre-set the first preset region size B1, the second preset region size B2, the third preset region size B3, and the fourth preset region size B4, where B1 < B2 < B3 < B4.

[0134] The matrix construction module is used to pre-set a first preset initial sampling number C1, a second preset initial sampling number C2, a third preset initial sampling number C3, a fourth preset initial sampling number C4, and a fifth preset initial sampling number C5, where C1 < C2 < C3 < C4 < C5.

[0135] The matrix construction module is used to set the initial number of samples for dividing the region according to the relationship between the region size A and the sizes of each preset region.

[0136] The matrix construction module is used to select the first preset initial sampling number C1 as the initial sampling number of the divided region when A < B1;

[0137] The matrix construction module is used to select the second preset initial sampling number C2 as the initial sampling number of the divided region when B1≤A<B2;

[0138] The matrix construction module is used to select the third preset initial sampling number C3 as the initial sampling number of the divided region when B2≤A<B3;

[0139] The matrix construction module is used to select the fourth preset initial sampling number C4 as the initial sampling number of the divided region when B3≤A<B4;

[0140] The matrix construction module is used to select the fifth preset initial sampling number C5 as the initial sampling number of the divided region when B4≤A.

[0141] The beneficial effects of the above technical solution are: the present invention sets the initial number of samples for dividing the region according to the relationship between the region size A and the size of each preset region. By setting the initial number of samples for dividing the region, the foundation can be laid for the uniform setting of sampling points and the detection of flow rate.

[0142] In some embodiments of this application, the matrix construction module is specifically used for:

[0143] The matrix construction module is used to pre-set a first preset risk value G1, a second preset risk value G2, a third preset risk value G3, and a fourth preset risk value G4, where G1 < G2 < G3 < G4.

[0144] The matrix construction module is used to pre-set a first preset initial sampling number correction coefficient h1, a second preset initial sampling number correction coefficient h2, a third preset initial sampling number correction coefficient h3, a fourth preset initial sampling number correction coefficient h4, and a fifth preset initial sampling number correction coefficient h5, and 0.8 < h1 < h2 < h3 < h4 < h5 < 1.2;

[0145] The matrix construction module is used to modify the initial sampling number of the divided region according to the relationship between the risk assignment value E and each preset risk assignment value when the initial sampling number of the divided region is set to the i-th preset initial sampling number Ci, i = 1, 2, 3, 4, 5.

[0146] The matrix construction module is used to select the first preset initial sampling number correction coefficient h1 to correct the i-th preset initial sampling number Ci when E < G1, and the initial sampling number of the divided region after correction is Ci*h1;

[0147] The matrix construction module is used to select the second preset initial sampling number correction coefficient h2 to correct the i-th preset initial sampling number Ci when G1≤E<G2, and the initial sampling number of the divided region after correction is Ci*h2;

[0148] The matrix construction module is used to select the third preset initial sampling number correction coefficient h3 to correct the i-th preset initial sampling number Ci when G2≤E<G3, and the initial sampling number of the divided region after correction is Ci*h3;

[0149] The matrix construction module is used to select the fourth preset initial sampling number correction coefficient h4 to correct the i-th preset initial sampling number Ci when G3≤E<G4, and the initial sampling number of the divided region after correction is Ci*h4;

[0150] The matrix construction module is used to select the fifth preset initial sampling number correction coefficient h5 to correct the i-th preset initial sampling number Ci when G4≤E, and the initial sampling number of the divided region after correction is Ci*h5.

[0151] In this embodiment, the risk assignment is a specific numerical value, which can be calculated based on the number of historical leakage points in each area. For example, the risk assignment E = Pb * f, where Pb is the number of historical leakage points and f is the conversion coefficient, which can be set to 0.6, 0.8, or 0.7, etc. The risk assignment E can be obtained through calculation.

[0152] The beneficial effects of the above technical solution are as follows: When the initial sampling number of the divided area is set to the i-th preset initial sampling number Ci, i = 1, 2, 3, 4, 5, the initial sampling number of the divided area is corrected according to the relationship between the risk assignment E and each preset risk assignment. By correcting the initial sampling number of the divided area, the accuracy of the sampling number can be further guaranteed, avoiding setting too many or too few, and avoiding affecting the accuracy of the flow rate data.

[0153] In some embodiments of this application, the leakage determination module is specifically used for:

[0154] The leakage determination module is used to extract all flow velocity data in the flow velocity sequence and generate a flow velocity data-time image;

[0155] The leakage determination module is used to determine the flow range of the corresponding sampling point based on the flow velocity data-time image;

[0156] The leakage determination module is used to determine the leakage point of the natural gas pipeline based on the flow data and the flow range of the corresponding sampling point;

[0157] The leakage determination module is used to determine that the corresponding sampling point is a leakage point of the natural gas pipeline when the flow data is not within the flow range.

[0158] In this embodiment, the flow velocity data-time image is obtained based on the flow velocity data and the time when the flow velocity data was acquired, with each time corresponding to a flow velocity.

[0159] In this embodiment, the flow range can be set according to the actual situation of the natural gas pipeline, and no specific limitation is made here. Each natural gas pipeline has a safe flow range. Therefore, the safe flow range is taken as the flow range of the corresponding sampling point.

[0160] In this embodiment, if the flow rate data of one of the sampling points is not within the flow range, then the sampling point is determined to be a leak point in the natural gas pipeline.

[0161] The beneficial effects of the above technical solution are: the present invention determines the leakage point of the natural gas pipeline based on the flow rate data and flow range, and issues an alarm reminder in real time based on the amount of natural gas leakage at the leakage point, thereby providing technical support for the maintenance work of the staff, avoiding the phenomenon of the staff having to conduct multiple investigations, shortening the working time, and improving the work efficiency.

[0162] To further illustrate the technical concept of this invention, the technical solution of this invention will now be described in conjunction with specific application scenarios.

[0163] Correspondingly, such as Figure 2 As shown, this application also provides a method for tracking natural gas pipeline transportation, the method comprising:

[0164] S110: Obtain the location information of the natural gas pipeline, and send parameter detection instructions to the detection equipment pre-deployed in the natural gas pipeline based on the location information;

[0165] S120: Control the detection device to perform real-time detection of the internal parameters of the natural gas pipeline according to the parameter detection command, and obtain real-time parameter detection values, wherein the real-time parameter detection values ​​include multiple real-time pressure detection values ​​and multiple real-time gas concentration detection values;

[0166] S130: Calculate the pressure judgment factor and gas concentration judgment factor of the natural gas pipeline based on multiple real-time pressure detection values ​​and multiple real-time gas concentration detection values;

[0167] S140: Determine whether there is a risk of leakage in the natural gas pipeline based on the pressure judgment factor and the gas concentration judgment factor;

[0168] S150: When there is a risk of leakage in the natural gas pipeline, the flow rate information of the natural gas pipeline at a preset time is collected based on the flow rate detection equipment pre-deployed in the natural gas pipeline, and a flow rate sequence is constructed.

[0169] S160: Determine the leak point of the natural gas pipeline based on the flow velocity sequence;

[0170] S170: Detect the amount of natural gas leaking at the leak point and issue an alarm reminder in real time based on the amount of natural gas leaking.

[0171] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0172] Although the invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, features in the embodiments disclosed herein can be combined with each other in any manner, provided there is no structural conflict. The omission of all such combinations in this specification is merely for brevity and resource conservation. Therefore, the invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

[0173] It will be understood by those skilled in the art that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A natural gas pipeline transportation tracking system, characterized in that, The system includes: The instruction sending module is used to acquire the location information of the natural gas pipeline and send parameter detection instructions to the detection equipment pre-deployed in the natural gas pipeline based on the location information; The data detection module is used to control the detection equipment to perform real-time detection of the internal parameters of the natural gas pipeline according to the parameter detection command, and to obtain real-time parameter detection values, wherein the real-time parameter detection values ​​include multiple real-time pressure detection values ​​and multiple real-time gas concentration detection values; The leakage calculation module is used to calculate the pressure judgment factor and gas concentration judgment factor of the natural gas pipeline based on multiple real-time pressure detection values ​​and multiple real-time gas concentration detection values. The leakage detection module is used to determine whether there is a leakage risk in the natural gas pipeline based on the pressure detection factor and the gas concentration detection factor. The matrix construction module is used to collect the flow velocity information of the natural gas pipeline at a preset time based on the flow velocity detection equipment pre-deployed in the natural gas pipeline when there is a risk of leakage in the natural gas pipeline, and to construct a flow velocity sequence. A leak detection module is used to determine the leak point of the natural gas pipeline based on the flow rate sequence; The tracking alarm module is used to detect the amount of natural gas leaking at the leak point and issue an alarm reminder in real time based on the amount of natural gas leaking. The leakage calculation module is specifically used for: The leakage calculation module is used to acquire all real-time pressure detection values ​​and generate a first data set; The leakage calculation module is used to acquire all real-time gas concentration detection values ​​and generate a second dataset; The leakage calculation module is used to construct a pressure detection curve based on the first data set; The leakage calculation module is used to construct a gas concentration detection curve based on the second data set; The leakage calculation module is used to analyze the pressure detection curve and determine the maximum and minimum pressure detection values ​​in the pressure detection curve. The leakage calculation module is used to analyze the gas concentration detection curve and determine the maximum and minimum gas concentration detection values ​​in the gas concentration detection curve. The leakage calculation module is used to obtain preset pressure detection thresholds and gas concentration detection thresholds; The leakage calculation module is used to calculate the pressure judgment factor of the natural gas pipeline based on the maximum pressure detection value, the minimum pressure detection value, and the pressure detection threshold. ； Where Z1 is the pressure judgment factor of the natural gas pipeline, Tmax is the maximum pressure detection value, Tmin is the minimum pressure detection value, T is the pressure detection threshold, and e is a constant; The leakage calculation module is used to calculate the gas concentration judgment factor of the natural gas pipeline based on the maximum gas concentration detection value, the minimum gas concentration detection value, and the gas concentration detection threshold. ； Where Z2 is the pressure judgment factor of the natural gas pipeline, Pmax is the maximum gas concentration detection value, Pmin is the minimum gas concentration detection value, P is the gas concentration detection threshold, and e is a constant.

2. The natural gas pipeline transportation tracking system according to claim 1, characterized in that, The leakage calculation module is specifically used for: The leakage calculation module is used to obtain the preset pressure judgment factor and the preset gas concentration judgment factor; The leakage calculation module is used to determine that there is a risk of leakage in the natural gas pipeline when the pressure judgment factor is greater than or equal to the preset pressure judgment factor and the gas concentration judgment factor is greater than or equal to the preset gas concentration judgment factor. The leakage calculation module is used to determine that there is no risk of leakage in the natural gas pipeline when the pressure judgment factor is less than the preset pressure judgment factor and the gas concentration judgment factor is less than the preset gas concentration judgment factor. The leakage calculation module is used to determine that there is a risk of leakage in the natural gas pipeline when the pressure judgment factor is greater than or equal to the preset pressure judgment factor and the gas concentration judgment factor is less than the preset gas concentration judgment factor. The leakage calculation module is used to determine that there is a leakage risk in the natural gas pipeline when the pressure judgment factor is less than the preset pressure judgment factor and the gas concentration judgment factor is greater than or equal to the preset gas concentration judgment factor.

3. The natural gas pipeline transportation tracking system according to claim 1, characterized in that, The matrix construction module is specifically used for: The matrix construction module is used to determine the pipeline type of the natural gas pipeline based on the location information of the natural gas pipeline, and extract the pipeline structure of the natural gas pipeline from the pipeline type-structure database based on the pipeline type; The matrix construction module is used to obtain historical leakage data of the natural gas pipeline, and to divide the natural gas pipeline into regions based on the historical leakage data and the pipeline structure. The matrix construction module is used to assign risk values ​​to each segmented region based on the historical leakage data. The matrix construction module is used to obtain the region size A of each partitioned region, and set the initial number of samples for the corresponding partitioned region based on the region size A; The matrix construction module is used to obtain the risk assignment E for each partitioned region, and to correct the initial number of samples based on the risk assignment E, and to use the corrected initial number of samples as the target number of samples for the corresponding partitioned region. The matrix construction module is used to uniformly set sampling points based on the target number of samples, and to collect the flow velocity information of the sampling points at a specified time based on the flow velocity detection device.

4. The natural gas pipeline transportation tracking system according to claim 3, characterized in that, The matrix construction module is specifically used for: The matrix construction module is used to pre-set the first preset region size B1, the second preset region size B2, the third preset region size B3, and the fourth preset region size B4, where B1 < B2 < B3 < B4. The matrix construction module is used to pre-set a first preset initial sampling number C1, a second preset initial sampling number C2, a third preset initial sampling number C3, a fourth preset initial sampling number C4, and a fifth preset initial sampling number C5, where C1 < C2 < C3 < C4 < C5. The matrix construction module is used to set the initial number of samples for dividing the region according to the relationship between the region size A and the sizes of each preset region.

5. The natural gas pipeline transportation tracking system according to claim 4, characterized in that, The matrix construction module is specifically used for: The matrix construction module is used to select the first preset initial sampling number C1 as the initial sampling number of the divided region when A < B1; The matrix construction module is used to select the second preset initial sampling number C2 as the initial sampling number of the divided region when B1≤A<B2; The matrix construction module is used to select the third preset initial sampling number C3 as the initial sampling number of the divided region when B2≤A<B3; The matrix construction module is used to select the fourth preset initial sampling number C4 as the initial sampling number of the divided region when B3≤A<B4; The matrix construction module is used to select the fifth preset initial sampling number C5 as the initial sampling number of the divided region when B4≤A.

6. The natural gas pipeline transportation tracking system according to claim 5, characterized in that, The matrix construction module is specifically used for: The matrix construction module is used to pre-set a first preset risk value G1, a second preset risk value G2, a third preset risk value G3, and a fourth preset risk value G4, where G1 < G2 < G3 < G4. The matrix construction module is used to pre-set a first preset initial sampling number correction coefficient h1, a second preset initial sampling number correction coefficient h2, a third preset initial sampling number correction coefficient h3, a fourth preset initial sampling number correction coefficient h4, and a fifth preset initial sampling number correction coefficient h5, and 0.8 < h1 < h2 < h3 < h4 < h5 < 1.2; The matrix construction module is used to modify the initial sampling number of the divided region according to the relationship between the risk assignment value E and each preset risk assignment value when the initial sampling number of the divided region is set to the i-th preset initial sampling number Ci, i=1, 2, 3, 4, 5.

7. The natural gas pipeline transportation tracking system according to claim 6, characterized in that, The matrix construction module is specifically used for: The matrix construction module is used to select the first preset initial sampling number correction coefficient h1 to correct the i-th preset initial sampling number Ci when E < G1, and the initial sampling number of the divided region after correction is Ci*h1; The matrix construction module is used to select the second preset initial sampling number correction coefficient h2 to correct the i-th preset initial sampling number Ci when G1≤E<G2, and the initial sampling number of the divided region after correction is Ci*h2; The matrix construction module is used to select the third preset initial sampling number correction coefficient h3 to correct the i-th preset initial sampling number Ci when G2≤E<G3, and the initial sampling number of the divided region after correction is Ci*h3; The matrix construction module is used to select the fourth preset initial sampling number correction coefficient h4 to correct the i-th preset initial sampling number Ci when G3≤E<G4, and the initial sampling number of the divided region after correction is Ci*h4; The matrix construction module is used to select the fifth preset initial sampling number correction coefficient h5 to correct the i-th preset initial sampling number Ci when G4≤E, and the initial sampling number of the divided region after correction is Ci*h5.

8. The natural gas pipeline transportation tracking system according to claim 1, characterized in that, The leakage determination module is specifically used for: The leakage determination module is used to extract all flow velocity data in the flow velocity sequence and generate a flow velocity data-time image; The leakage determination module is used to determine the flow range of the corresponding sampling point based on the flow velocity data-time image; The leakage determination module is used to determine the leakage point of the natural gas pipeline based on the flow data and the flow range of the corresponding sampling point; The leakage determination module is used to determine that the corresponding sampling point is a leakage point of the natural gas pipeline when the flow data is not within the flow range.

9. A natural gas pipeline transportation tracking method, applied to a natural gas pipeline transportation tracking system as described in claim 1, characterized in that, The method includes: Obtain the location information of the natural gas pipeline, and send parameter detection commands to the detection equipment pre-deployed in the natural gas pipeline based on the location information; The detection device is controlled according to the parameter detection command to perform real-time detection of the internal parameters of the natural gas pipeline and obtain real-time parameter detection values, wherein the real-time parameter detection values ​​include multiple real-time pressure detection values ​​and multiple real-time gas concentration detection values; The pressure judgment factor and gas concentration judgment factor of the natural gas pipeline are calculated based on multiple real-time pressure detection values ​​and multiple real-time gas concentration detection values. Based on the pressure judgment factor and the gas concentration judgment factor, determine whether there is a risk of leakage in the natural gas pipeline; When there is a risk of leakage in the natural gas pipeline, the flow rate information of the natural gas pipeline at a preset time is collected based on the flow rate detection equipment pre-deployed in the natural gas pipeline, and a flow rate sequence is constructed. The leak point of the natural gas pipeline was determined based on the flow velocity sequence; The system detects the amount of natural gas leaking at the leak point and issues an alarm in real time based on the amount of natural gas leaking.

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