A method and system for detecting a leak in a pipe

Abstract

This invention belongs to the field of pipeline defect detection technology, and specifically relates to a method and system for detecting pipeline leaks. The method includes: constructing a detection model and determining the parameters of the detection model; identifying leaking pipe sections in the pipeline network; measuring the pipeline information of the leaking pipe section, inputting the pipeline information into the detection model, confirming the location of the pipeline leak, and calculating the size of the leak. This invention determines the size of the pipeline leak by using a quantitative relationship between the size of the leak and the change in frictional resistance downstream of the leak point, and directly determines the size of the pipeline leak point through the detection method and its experimental apparatus.

Description

Technical Field

[0001] This invention belongs to the field of pipeline defect detection technology, and specifically relates to a method and system for detecting pipeline leaks. Background Technology

[0002] The total length of existing oil and gas pipelines has now exceeded 95,000 kilometers, with large, continuous, and rapid pipeline transportation capacity. At the same time, with the increase in construction time, the pipelines are aging, perforation failures are frequent, and leaks are occurring more often. If pipeline leaks are not dealt with in a timely manner, they could cause incalculable economic losses, environmental damage, or casualties, directly threatening people's lives and property.

[0003] Currently, most pipeline leak detection methods use the pressure distribution method, which analyzes the leakage situation by detecting changes in flow and pressure within the pipeline. The pressure distribution method has advantages such as not requiring complex mathematical models, minimal construction work, low cost, and convenient maintenance. However, it struggles to meet the demands for lower false alarm rates, higher sensitivity, and more accurate location. Furthermore, it cannot quickly detect leaking sections in complex pipe networks, nor can it determine the size of the leak, thus preventing on-site personnel from making advance repair plans. Summary of the Invention

[0004] To address the above problems, the present invention provides a method for detecting pipeline leaks, the method comprising:

[0005] Construct a detection model and determine its parameters;

[0006] Identify leaking pipe sections in the pipeline network;

[0007] Measure the pipeline information of the leaking section, input the pipeline information into the detection model, confirm the location of the pipeline leak, and calculate the size of the leak.

[0008] Preferably, the step of constructing the detection model and determining the parameters of the detection model includes:

[0009] Select pipes with known leak locations and sizes to form the experimental pipeline;

[0010] A pressurization device and a pressure measuring instrument are installed on the experimental pipeline to measure the pipeline information.

[0011] Input the pipeline information, leak location, and leak size of the experimental pipeline into the detection model to confirm the parameters of the detection model.

[0012] Preferably, the pipeline information includes pipeline flow rate, upstream friction loss, and downstream friction loss.

[0013] Preferably, determining the parameters of the detection model further includes:

[0014] A pressurizing device and a pressure measuring instrument are installed on the pipeline without leaks to measure the pipeline information;

[0015] The pipeline information of the leak-free pipeline is input into the detection model, and the parameters of the detection model are verified.

[0016] Preferably, identifying leaking pipe segments in the pipeline network includes:

[0017] Measure the pressure and flow rate of each pipe section in the pipeline network;

[0018] The leaking pipe section can be identified by measuring the changes in pressure and flow rate over time for each pipe section.

[0019] This invention proposes a pipeline leak detection system, which includes a construction module, an identification module, and a detection module;

[0020] The building module is used to build the detection model and determine the parameters of the detection model;

[0021] The identification module is used to identify leaking pipe sections in the pipeline network;

[0022] The detection module is used to measure the pipeline information of the leaking pipe section, input the pipeline information into the detection model, confirm the location of the pipeline leak, and calculate the size of the leak.

[0023] Preferably, the construction module is used to construct a detection model and determine the parameters of the detection model, including:

[0024] The building module is used to select pipes with known leak locations and sizes to arrange them into experimental pipes;

[0025] A pressurization device and a pressure measuring instrument are installed on the experimental pipeline to measure the pipeline information.

[0026] Input the pipeline information, leak location, and leak size of the experimental pipeline into the detection model to confirm the parameters of the detection model.

[0027] Preferably, the identification module is used to identify leaking pipe sections in the pipeline network, including:

[0028] The identification module is used to measure the pressure and flow rate of each pipe section in the pipeline network;

[0029] The leaking pipe section can be identified by measuring the changes in pressure and flow rate over time for each pipe section.

[0030] The present invention also proposes an electronic device, comprising:

[0031] Processor and memory;

[0032] The processor invokes the computer program stored in the memory to execute any of the above-described pipeline leak detection methods.

[0033] This invention provides a computer-readable storage medium.

[0034] The computer-readable storage medium stores a computer program that, when executed by a processor, enables the processor to perform any of the pipeline leak detection methods described above.

[0035] The present invention has the following beneficial effects:

[0036] This invention determines the size of a pipeline leak by quantitatively relating the size of the leak to the change in frictional resistance downstream of the leak. The size of the leak can be directly determined using a detection method and experimental apparatus.

[0037] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description and the drawings. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 A diagram illustrating a pipeline leak detection method in an embodiment of the present invention is shown.

[0040] Figure 2 A diagram of a pipeline leak detection device is shown in an embodiment of the present invention;

[0041] Figure 3 This illustrates a flowchart of step S1 in an embodiment of the present invention;

[0042] Figure 4 A flowchart of step S2 in an embodiment of the present invention is shown;

[0043] Figure 5 This diagram illustrates a pipeline leak detection system according to an embodiment of the present invention.

[0044] Figure 6 An electronic device diagram is shown in an embodiment of the present invention;

[0045] In the diagram: 1. Oil sampling container; 2. Pressurization device; 3. First pressure measuring instrument; 4. Second pressure measuring instrument; 5. Third pressure measuring instrument; 6. Fourth pressure measuring instrument; 7. Experimental pipeline body; 8. Second oil storage container; 9. First oil storage container; 10. First leak outlet; 11. Second leak outlet; 12. Third leak outlet; 13. Fourth leak outlet; 14. Fifth leak outlet. Detailed Implementation

[0046] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided to make this disclosure more comprehensive and complete, and to fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a full understanding of embodiments of this disclosure. However, those skilled in the art will recognize that the technical solutions of this disclosure can be practiced with one or more of the specific details omitted, or other methods, components, apparatus, steps, etc., can be employed. In other instances, well-known technical solutions are not shown or described in detail to avoid obscuring various aspects of this disclosure.

[0047] Furthermore, the accompanying drawings are merely illustrative of this disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities may be implemented in software, in one or more hardware units or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0048] The flowchart shown in the attached diagram is merely an illustrative example and does not necessarily include all steps. For example, some steps may be broken down, while others may be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0049] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented, for example, in orders other than those illustrated or described herein.

[0050] Furthermore, the terms “comprising” and “having”, and any variations thereof, are intended to cover non-exclusive inclusion, such that a process, method, system, product, or device that includes a series of steps or sub-modules is not necessarily limited to those steps or sub-modules that are explicitly listed, but may include other steps or sub-modules that are not explicitly listed or that are inherent to such process, method, product, or device.

[0051] like Figure 1 As shown, this invention proposes a method for detecting pipeline leaks, the method comprising:

[0052] S1. Construct a detection model and determine its parameters;

[0053] include:

[0054] Select pipes with known leak locations and sizes to form the experimental pipeline;

[0055] A pressurization device and a pressure measuring instrument are installed on the experimental pipeline to measure the pipeline information.

[0056] The pipeline information, leak location, and leak size of the experimental pipeline are input into the detection model to confirm the parameters of the detection model; the pipeline information includes pipeline flow rate, upstream friction loss, and downstream friction loss.

[0057] Determining the parameters of the detection model also includes:

[0058] A pressurizing device and a pressure measuring instrument are installed on the pipeline without leaks to measure the pipeline information;

[0059] The pipeline information of the leak-free pipeline is input into the detection model, and the parameters of the detection model are verified.

[0060] Detection model such as Figure 2 As shown in the figure, there are five experimental pipeline bodies 7. The oil sampling container 1 is connected to the pressurizing device 2, and the pressurizing device 2 is connected to the experimental pipeline body 7. The first pressure measuring instrument 3, the second pressure measuring instrument 4, the third pressure measuring instrument 5, and the fourth pressure measuring instrument 6 are installed on the experimental pipeline body 7 in sequence. The first leak 10, the second leak 11, the third leak 12, the fourth leak 13, and the fifth leak 14 are made at designated positions on the five experimental pipeline bodies 7, respectively. The first oil storage container 9 and the second oil storage container 8 are installed below the five leaks and at the end of the experimental pipeline body 7.

[0061] Specifically, such as Figure 3 As shown, S1 includes the following steps:

[0062] 1) Preliminary survey of high-risk pipeline data in the pipeline network

[0063] Collect information about high-risk pipelines in the pipeline network, mainly including the starting and ending points, length, category, and surrounding description of high-risk pipeline sections.

[0064] 2) Construction of experimental apparatus

[0065] A test pipe section identical to that of the high-risk pipeline on site was obtained from the pipeline company; the test pipe was 15m long. For each high-risk pipeline requiring close monitoring, five test pipes were fabricated. A pressurization device and two pressure gauges were installed upstream of each of the five test pipes, and two pressure gauges were installed downstream of the leak point. The distance between the upstream and downstream pressure gauges was no less than 1m.

[0066] 3) Determining the location of the leak

[0067] At the locations of the third pressure measuring instrument on the five experimental pipes at 2m, 4m, 6m, 8m and 10m respectively, circles with diameters of 1mm, 3mm, 5mm, 7mm and 9mm were drawn directly below the pipes with an ink pen.

[0068] 4) Test of the airtightness of the experimental apparatus

[0069] Clean water is used as the transport medium. The clean water is pressurized by a pressurizing device and pumped into the pipeline. The medium in the pipeline is kept to flow normally for more than 2 hours to ensure that the pressure measuring instrument can be used normally and that there is no leakage in the pipeline.

[0070] 5) Set up the test plan

[0071] Based on the fluid continuity equation, energy conservation equation, and momentum conservation equation, a numerical quantitative calculation relationship can be derived between the size and location of the pipeline leak, the pipeline flow rate, and the frictional resistance along the upstream and downstream sides of the pipeline. Based on the upstream and downstream frictional resistance measured on-site in the target pipeline, the location and size of the pipeline leak can be calculated using formulas 5-4 and 5-5.

[0072] (5-1)

[0073] (5-2)

[0074] (5-3)

[0075] (5-4)

[0076] (5-5)

[0077] In the formula, The first pressure gauge reading is in MPa. The second pressure gauge reading is in MPa. The value is from the third pressure gauge, in MPa. This is the value from the fourth pressure gauge, in MPa; The horizontal distance between the first and fourth pressure measuring instruments is in meters. The horizontal distance between the first and second pressure measuring instruments is in meters. The horizontal distance between the third and fourth pressure measuring instruments is in meters. The horizontal length of the pipe is in meters (m). Frictional resistance along the pipeline without leakage, MPa / m; The frictional resistance along the upstream side of the pipeline after the leak, in MPa / m; The frictional resistance downstream of the pipeline after the leak, in MPa / m; Let m be the flow rate of the liquid in the pipe. 3 / s; The location of the leak is in meters (m). The area of ​​the leak opening is m. 2 ; , The correction coefficient to be determined in the experiment is dimensionless. The viscosity of the fluid inside the pipe is given in Pa·s. The length of the pipe before the leak, in meters; This is the length of the pipe after the leak.

[0078] Based on the on-site target pipeline conditions, the experimental pipeline flow rate was set to 0.2, 0.4, 0.6, 0.8, and 1.0 times the maximum on-site flow rate Qmax. The outlet pressure of the experimental pressurization device was set to 1.0 MPa, and the leakage outlet sizes were circles of 1 mm, 3 mm, 5 mm, 7 mm, and 9 mm, respectively. The specific experimental conditions are shown in Table 1.

[0079] Table 1

[0080]

[0081] Based on the table above, a pipeline flow leakage test was conducted. Four pressure gauges were used to measure the pipeline pressure at different locations. The frictional resistance along the upstream and downstream pipelines was calculated, and the applicable test coefficient for the target pipe section was calculated using the formula. and .

[0082] 6) Friction measurement along the pipeline without leaks

[0083] Set the outlet pressure of the pressurizing device to 1 MPa, and the flow rates to 0.2Qmax, 0.4Qmax, 0.6Qmax, 0.8Qmax, and 1.0Qmax, respectively. Place an oil container at the end of the pipeline. After preparation, turn on the pressurizing device. Once the pressure gauge readings stabilize, read the readings of the four pressure gauges at different flow rates and record them on the experimental record sheet. Calculate the frictional resistance along the pipeline at different flow rates using Equation 5-1.

[0084] 7) Friction measurement along the upstream and downstream sides of the pipeline with a leak.

[0085] Five leaks with a diameter of 1 mm were created at predetermined locations along the pipelines. The outlet pressure of the pressurizing device was set to 1 MPa, and the flow rate to 0.2Qmax. Oil containers were placed below the leaks and at the ends of the pipelines. After preparation, the pressurizing device was turned on. Once the pressure gauge readings stabilized, the readings of the four pressure gauges were read and recorded on the experimental record sheet. The upstream and downstream frictional resistance of the pipelines was calculated using Equations 5-2 and 5-3.

[0086] 8) Repeat the experiment

[0087] Change the experimental parameters and repeat 25 sets of experiments. See step 7 for the experimental steps. Measure and record the friction data of the upstream and downstream of the pipelines at 5 different leak locations under 5 flow rate and 5 leak size conditions.

[0088] 9) , Value determined

[0089] Determine 125 sets of conditions and The values ​​are processed for each set of experimental data to calculate the values ​​under each experimental condition. and Take the values, then average them and record them.

[0090] (5-6)

[0091] (5-7)

[0092] Through 125 sets of experiments, the truth value calculation formula was used to determine... and truth value and .

[0093] (5-8)

[0094] (5-9)

[0095] In the formula, Correction coefficient The truth value of is dimensionless; For the first Group experimental test Value, dimensionless; for The point value correction is dimensionless; The number of experimental groups, dimensionless ( =1, 2, 3, ...).

[0096] S2. Identify leaking pipe sections in the pipeline network;

[0097] include:

[0098] Measure the pressure and flow rate of each pipe section in the pipeline network;

[0099] The leaking pipe section can be identified by measuring the changes in pressure and flow rate over time for each pipe section.

[0100] Specifically, such as Figure 4 As shown, when a leak occurs at a point in the pipeline, the pressure and flow rate of the entire pipeline network show a downward trend, especially in the leaking section, where the changes in pressure and flow rate over time are greater than in other non-leaking sections. Assume there are leaks in the pipeline network... There are 10 pipes, each pipe has 10 pipes. Establish a matrix of monitoring points. express pipe and A matrix of data measurements from monitoring points, wherein, For the first The first of the pipelines A vector composed of pressure and flow rates at each monitoring point. The change matrix is ​​calculated every 30 seconds. Then extract the transformation matrix. The elements in each row of the text form a composition. A new row matrix and And calculate the first one respectively. The modulus of the product of a row matrix and its transpose .right Sort the values, and the values ​​corresponding to the maximum values. This refers to the pipe number where the leak occurred.

[0101] (5-10)

[0102] (5-11)

[0103] (5-12)

[0104] (5-13)

[0105] In the formula, For the first The first of the pipelines A vector composed of pressure and flow rate at each monitoring point; For the first The first of the pipelines Pressure at each monitoring point, MPa; For the first The first of the pipelines Flow rate at each monitoring point, m 3 / s; express pipe and A matrix of data measurement values ​​from each monitoring point; Every 30 seconds The transformation matrix; Every 30 seconds The transformation matrix; For matrix The Middle A row matrix consisting of row elements; for The transpose of the matrix; for The magnitude of the product of the product of the matrix and its transpose is dimensionless.

[0106] S3. Measure the pipeline information of the leaking section, input the pipeline information into the detection model, confirm the location of the pipeline leak, and calculate the size of the leak.

[0107] Specifically, after identifying the leaking pipe section, the target pipe section is determined based on experimental measurements. and The location and size of the pipeline leak are calculated using Equations 5-4 and 5-5. Based on the calculated location and size of the leak, on-site personnel are dispatched to handle the situation.

[0108] like Figure 5 As shown, the present invention also proposes a pipeline leak detection system, which includes a construction module 100, an identification module 200, and a detection module 300.

[0109] The construction module 100 is used to construct a detection model and determine the parameters of the detection model, including: the construction module 100 is used to select pipes with known leak locations and leak sizes to arrange as experimental pipes; to arrange pressurization devices and pressure measuring instruments on the experimental pipes to measure the pipe information of the experimental pipes; and to input the pipe information, leak location and leak size of the experimental pipes into the detection model to confirm the parameters of the detection model.

[0110] The identification module 200 is used to identify leaking pipe sections in the pipeline network, including: the identification module 200 is used to measure the pressure and flow rate of each pipe section in the pipeline network; and to determine the leaking pipe section based on the changes in pressure and flow rate of each pipe section over time.

[0111] The detection module 300 is used to measure the pipeline information of the leaking pipe section, input the pipeline information into the detection model, confirm the location of the pipeline leak, and calculate the size of the leak.

[0112] like Figure 6 As shown, corresponding to the pipeline leak detection method provided above, the present invention also provides an electronic device. Since the embodiment of this device is similar to the embodiment of the method described above, the description is relatively simple; relevant details can be found in the description of the method embodiments above. The device described below is merely illustrative. This device may include: a processor 1000, a memory 2000, a communication bus (i.e., the aforementioned device bus), and a lookup engine. The processor 1000 and the memory 2000 communicate with each other via the communication bus and communicate with external systems via a communication interface. The processor 1000 can call logical instructions in the memory 2000 to execute the pipeline leak detection method.

[0113] Furthermore, the logical instructions in the aforementioned memory 2000 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: memory chips, USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.

[0114] On the other hand, embodiments of the present invention also provide a processor-readable storage medium storing a computer program 3000, which, when executed by a processor 1000, is implemented to perform the pipeline leak detection method provided in the above embodiments.

[0115] The processor-readable storage medium can be any available medium or data storage device that the processor 1000 can access, including but not limited to magnetic memory (e.g., floppy disk, hard disk, magnetic tape, magneto-optical disk (MO)), optical memory (e.g., CD, DVD, BD, HVD), and semiconductor memory (e.g., ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid-state drive (SSD)).

[0116] Those skilled in the art should understand that, despite the detailed description of the present invention with reference to the foregoing embodiments, modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting pipeline leaks, characterized in that, The method includes: Constructing a detection model and determining its parameters includes: selecting pipes with known leak locations and sizes to form an experimental pipeline; installing a pressurizing device and first and second pressure measuring instruments upstream of the leak in the experimental pipeline, and setting up third and fourth pressure measuring instruments downstream of the leak in the experimental pipeline to measure the pipeline information; the pipeline information includes pipeline flow rate, upstream friction loss, and downstream friction loss; inputting the pipeline information, leak location, and leak size of the experimental pipeline into the detection model to confirm its parameters; The expression for the frictional resistance along a leak-free pipeline is: ; The expression for the frictional resistance along the upstream side of the pipeline is: ; The expression for the frictional resistance along the downstream side of the pipeline is: ; The expression for the location of the leak is: ； The expression for the size of the leak is: ； in, The first pressure gauge reading is in MPa. The value is from the second pressure gauge, in MPa. The value is from the third pressure gauge, in MPa. This is the value from the fourth pressure gauge, in MPa; The horizontal distance between the first and fourth pressure measuring instruments is in meters. The horizontal distance between the first and second pressure measuring instruments is in meters. The horizontal distance between the third and fourth pressure measuring instruments is in meters. The horizontal length of the pipe is in meters (m). Frictional resistance along the pipeline without leakage, MPa / m; The frictional resistance along the upstream side of the pipeline after the leak, in MPa / m; The frictional resistance downstream of the pipeline after the leak, in MPa / m; Let m be the flow rate of the liquid in the pipe. 3 / s; The location of the leak is in meters (m). The area of ​​the leak opening is m. 2 ; , The correction coefficient to be determined in the experiment is dimensionless. The viscosity of the fluid inside the pipe is given in Pa·s. The length of the pipe before the leak, in meters; The length of the pipe after the leak, in meters; Identify leaking pipe sections in the pipeline network; Measure the pipeline information of the leaking section, input the pipeline information into the detection model, confirm the location of the pipeline leak, and calculate the size of the leak.

2. The pipeline leak detection method according to claim 1, characterized in that, Determining the parameters of the detection model also includes: A pressurizing device and a pressure measuring instrument are installed on the pipeline without leaks to measure the pipeline information; The pipeline information of the leak-free pipeline is input into the detection model, and the parameters of the detection model are verified.

3. The pipeline leak detection method according to claim 1, characterized in that, Identifying leaking pipe sections in the pipeline network includes: Measure the pressure and flow rate of each pipe section in the pipeline network; The leaking pipe section can be identified by measuring the changes in pressure and flow rate over time for each pipe section.

4. A pipeline leak detection system, characterized in that, The system includes a construction module, an identification module, and a detection module; The construction module is used to construct a detection model and determine the parameters of the detection model, including: selecting pipes with known leak locations and sizes to form an experimental pipeline; installing a pressurizing device and first and second pressure measuring instruments upstream of the leak in the experimental pipeline, and setting third and fourth pressure measuring instruments downstream of the leak in the experimental pipeline to measure the pipeline information; the pipeline information includes pipeline flow rate, upstream friction loss, and downstream friction loss; inputting the pipeline information, leak location, and leak size of the experimental pipeline into the detection model to confirm the parameters of the detection model; The expression for the frictional resistance along a leak-free pipeline is: ; The expression for the frictional resistance along the upstream side of the pipeline is: ; The expression for the frictional resistance along the downstream side of the pipeline is: ; The expression for the location of the leak is: ； The expression for the size of the leak is: ； in, The first pressure gauge reading is in MPa. The value is from the second pressure gauge, in MPa. The value is from the third pressure gauge, in MPa. This is the value from the fourth pressure gauge, in MPa; The horizontal distance between the first and fourth pressure measuring instruments is in meters. The horizontal distance between the first and second pressure measuring instruments is in meters. The horizontal distance between the third and fourth pressure measuring instruments is in meters. The horizontal length of the pipe is in meters (m). Frictional resistance along the pipeline without leakage, MPa / m; The frictional resistance along the upstream side of the pipeline after the leak, in MPa / m; The frictional resistance downstream of the pipeline after the leak, in MPa / m; Let m be the flow rate of the liquid in the pipe. 3 / s; The location of the leak is in meters (m). The area of ​​the leak opening is m. 2 ; , The correction coefficient to be determined in the experiment is dimensionless. The viscosity of the fluid inside the pipe is given in Pa·s. The length of the pipe before the leak, in meters; The length of the pipe after the leak, in meters; The identification module is used to identify leaking pipe sections in the pipeline network; The detection module is used to measure the pipeline information of the leaking pipe section, input the pipeline information into the detection model, confirm the location of the pipeline leak, and calculate the size of the leak.

5. The pipeline leak detection system according to claim 4, characterized in that, The identification module is used to identify leaking pipe sections in the pipeline network, including: The identification module is used to measure the pressure and flow rate of each pipe section in the pipeline network; The leaking pipe section can be identified by measuring the changes in pressure and flow rate over time for each pipe section.

6. An electronic device, characterized in that, include: Processor and memory; The processor invokes the computer program stored in the memory to execute the pipeline leak detection method according to any one of claims 1 to 3.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, enables the processor to perform the pipeline leak detection method according to any one of claims 1 to 3.

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