Leakage monitoring method, device and equipment based on gas storage structure parameters and medium

Abstract

The invention discloses a leakage monitoring method, device and equipment based on gas storage structure parameters and a medium, and relates to the technical field of energy storage. The method comprises the following steps: firstly, acquiring optical fiber sensing data detected by distributed acoustic optical fibers arranged in a gas storage, then carrying out image conversion, and determining a corresponding binary sensing image; and whether gas leakage occurs in the gas storage is determined. And under the condition that gas leakage occurs in the gas storage, the signal arrival time of the leakage signal is determined based on the binary sensing image. And finally, generating early warning information based on the target two-dimensional image and the corrected leakage point position, and outputting the early warning information. Therefore, the optical fiber sensing data monitored by the optical fiber can be converted into images for recognition, and the corresponding leakage point position when gas leakage occurs in the gas storage is judged through the images. Therefore, in the operation process of the gas storage, gas leakage can be monitored in time, leakage points can be accurately positioned, and maintenance personnel can conveniently carry out leakage treatment.

Description

Technical Field

[0001] The present invention relates to the field of energy storage technology, and in particular to a leakage monitoring method, device, equipment and medium based on gas storage reservoir structural parameters. Background Art

[0002] Compressed air energy storage power station is a new type of energy storage power station. It uses the excess electricity of the power system at low capacity load to compress air and store it in underground caves. It is released when needed and then heated to generate electricity through generator sets to meet the needs of peak loads. Underground caves usually include natural salt caverns and artificially constructed gas storage reservoirs. Natural salt caverns are limited by salt cavern resource conditions, and this gas storage solution has encountered a promotion bottleneck. The key consideration in the construction of gas storage reservoirs is sealing.

[0003] Gas storage is usually sealed by setting a sealing layer on the lining. However, during the repeated injection and production of gas in the gas storage, the sealing layer may leak, causing high-pressure gas to leak from the gas storage. This leakage not only wastes energy, but also reduces the safety factor of the gas storage. Summary of the invention

[0004] In view of the above problems, the present invention is proposed to provide a leakage monitoring method, device, equipment and medium based on gas storage reservoir structural parameters that overcome the above problems or at least partially solve the above problems.

[0005] Based on the first aspect of the present invention, a leakage monitoring method based on gas storage reservoir structural parameters is provided, the method comprising:

[0006] Acquire optical fiber sensing data of distributed acoustic optical fiber detection arranged in the gas storage reservoir, wherein the optical fiber sensing data includes signal strength, signal arrival time and signal sensing position, wherein the installation position of the distributed acoustic optical fiber is determined according to the structural parameters of the gas storage reservoir;

[0007] Performing image conversion on the optical fiber sensing data to determine a corresponding binary sensing image;

[0008] Determining whether a gas leak occurs in the gas storage according to the binary sensor image and a preset target pixel value, wherein the target pixel value is associated with the abnormal signal intensity;

[0009] In the event of a gas leak in the gas storage, determining an abnormal arrival time corresponding to a signal based on the binary sensor image;

[0010] Determining the corrected leakage point position of the gas storage according to the abnormal arrival time and the theoretical arrival time;

[0011] Early warning information is generated based on the binary sensor image and the corrected leakage point position, and the early warning information is output.

[0012] An optional invention content, wherein the optical fiber sensing data is subjected to image conversion to determine a corresponding binary sensing image, comprises:

[0013] Creating a signal matrix according to the optical fiber sensing data, wherein the rows of the signal matrix represent signal arrival times, the columns of the signal matrix represent signal sensing data, and the elements of the signal matrix represent signal strengths;

[0014] Performing grayscale processing on all elements in the signal matrix to generate a signal grayscale image;

[0015] According to a preset signal abnormality threshold, the signal grayscale image is binarized to determine a corresponding binary sensing image.

[0016] An optional invention content, performing grayscale processing on all elements in the signal matrix to generate a signal grayscale image includes:

[0017] Accumulating all elements in the signal matrix to obtain accumulated element values;

[0018] According to each element value, the cumulative element value and the grayscale upper limit value in the signal matrix, the grayscale value corresponding to each pixel is determined, and a signal grayscale image is obtained.

[0019] An optional invention content, performing grayscale processing on all elements in the signal matrix to generate a signal grayscale image includes:

[0020] The grayscale values ​​associated with each element value in the signal matrix are matched to generate a signal grayscale image.

[0021] An optional invention content, the determining whether a gas leak occurs in the gas storage according to the binary sensor image and a preset target pixel value, includes:

[0022] Performing pixel value matching on each pixel point in the binary sensor image;

[0023] If the target pixel value is matched in the binary sensor image, it is determined that a gas leak occurs in the gas storage;

[0024] If the target pixel value is not matched in the binary sensor image, it is determined that the gas storage is operating normally.

[0025] An optional invention content, the determining the abnormal arrival time corresponding to the signal based on the binary sensor image includes:

[0026] Based on the pixel position corresponding to the target pixel value in the binary sensor image, the signal arrival time of the leakage signal is determined.

[0027] In an optional embodiment of the invention, the method further comprises:

[0028] A denoising operation is performed on the binary sensor image to obtain an updated binary sensor image.

[0029] Based on the second aspect of the present invention, a leakage monitoring device based on gas storage reservoir structural parameters is also provided, the device comprising:

[0030] A signal acquisition module, used to acquire optical fiber sensing data of distributed acoustic optical fiber detection arranged in the gas storage reservoir, wherein the optical fiber sensing data includes signal strength, signal arrival time and signal sensing position, wherein the installation position of the distributed acoustic optical fiber is determined according to the structural parameters of the gas storage reservoir;

[0031] An image conversion module, used for performing image conversion on the optical fiber sensing data to determine a corresponding binary sensing image;

[0032] A leakage determination module, used for determining whether a gas leakage occurs in the gas storage according to the binary sensor image and a preset target pixel value, wherein the target pixel value is associated with the abnormal signal intensity;

[0033] A monitoring time determination module, used for determining the abnormal arrival time corresponding to the signal based on the binary sensor image when a gas leak occurs in the gas storage;

[0034] A leakage point determination module, used to determine the corrected leakage point position of the gas storage according to the abnormal arrival time and the theoretical arrival time;

[0035] The early warning module is used to generate early warning information based on the binary sensor image and the corrected leakage point position, and output the early warning information.

[0036] In an optional invention, the image conversion module includes:

[0037] A matrix creation submodule, used to create a signal matrix according to the optical fiber sensing data, wherein the rows of the signal matrix represent signal arrival times, the columns of the signal matrix represent signal sensing data, and the elements of the signal matrix represent signal strengths;

[0038] An image conversion submodule, used for performing grayscale processing on all elements in the signal matrix to generate a signal grayscale image;

[0039] The binary image generating word module is used to perform binary processing on the signal grayscale image according to a preset signal abnormality threshold value to determine the corresponding binary sensor image.

[0040] In an optional invention, the image conversion submodule includes:

[0041] An element accumulation unit, used for accumulating all elements in the signal matrix to obtain accumulated element values;

[0042] The image conversion unit is used to determine the grayscale value corresponding to each pixel point according to each element value, the cumulative element value and the grayscale upper limit value in the signal matrix, and obtain a signal grayscale image.

[0043] In an optional invention, the image conversion submodule is further used for:

[0044] The grayscale values ​​associated with each element value in the signal matrix are matched to generate a signal grayscale image.

[0045] In an optional invention, the leakage determination module includes:

[0046] A pixel matching submodule, used for matching pixel values ​​of each pixel in the binary sensor image;

[0047] A leakage determination submodule, configured to determine that a gas leakage occurs in the gas storage if the target pixel value is matched in the binary sensor image;

[0048] The leakage determination submodule is further used to determine that the gas storage is operating normally if the target pixel value is not matched in the binary sensor image.

[0049] An optional invention content, the determining the abnormal arrival time corresponding to the signal based on the binary sensor image includes:

[0050] Based on the pixel position corresponding to the target pixel value in the binary sensor image, the signal arrival time of the leakage signal is determined.

[0051] According to the third aspect of the present invention, there is also provided an electronic device, including:

[0052] one or more processors;

[0053] Memory;

[0054] One or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs are configured to execute any of the methods described in the above invention.

[0055] Based on the fourth aspect of the present invention, a computer-readable storage medium is further provided, which stores a computer program used in conjunction with an electronic device, and the computer program can be executed by a processor to implement any of the methods described in the above invention content.

[0056] Based on the fifth aspect of the present invention, a computer program product is also provided, including a computer program / computer executable instructions, wherein the computer program / computer executable instructions, when executed by a processor in an electronic device, implements any one of the methods described in the above invention contents.

[0057] Compared with the prior art, the present invention includes first acquiring the optical fiber sensing data of the distributed acoustic optical fiber detection arranged in the gas storage, and then performing image conversion on the optical fiber sensing data to determine the corresponding binary sensing image. Then, according to the binary sensing image and the preset target pixel value, it is determined whether the gas storage has a gas leak, wherein the target pixel value is associated with the abnormal signal strength. And in the case of a gas leak in the gas storage, the abnormal arrival time corresponding to the signal is determined based on the binary sensing image. According to the abnormal arrival time and the theoretical arrival time, the corrected leakage point position of the gas storage is determined, and finally, based on the binary sensing image and the corrected leakage point position, early warning information is generated and output. Thus, the optical fiber sensing data monitored by the optical fiber can be converted into image recognition, and the leakage point position corresponding to the gas storage when a gas leak occurs can be determined by the image. Thus, gas leakage can be timely monitored and the leakage point can be accurately located during the operation of the gas storage, which is convenient for maintenance personnel to handle the leakage in time. Thus, energy waste can be reduced and the safety factor of the gas storage can be improved.

[0058] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] By reading the detailed description of the preferred embodiment below, various other advantages and benefits will become clear to those of ordinary skill in the art. The accompanying drawings are only used for the purpose of illustrating the preferred embodiment and are not considered to be limitations of the present invention. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings.

[0060] In the attached picture:

[0061] Figure 1 It is a schematic flow chart of the steps of a leakage monitoring method based on gas storage reservoir structural parameters provided by an embodiment of the present invention;

[0062] Figure 2It is a schematic flow chart of another leakage monitoring method based on gas storage structure parameters provided by an embodiment of the present invention;

[0063] Figure 3 It is a structural block diagram of a leakage monitoring device based on gas storage reservoir structural parameters provided by an embodiment of the present invention;

[0064] Figure 4 It is a schematic diagram of a distributed acoustic optical fiber installed along the radial direction of a gas storage reservoir provided by an embodiment of the present invention;

[0065] Figure 5 It is a schematic diagram of a distributed acoustic optical fiber installed along the length direction of a gas storage provided by an embodiment of the present invention;

[0066] Figure 6 is a schematic diagram of a signal grayscale image provided by an embodiment of the present invention;

[0067] Figure 7 It is a schematic diagram of a binary sensing image provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0068] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0069] Compressed air energy storage power station is a new type of energy storage power station. It uses the excess electricity of the power system at low capacity load to compress air and store it in underground caves. It is released when needed and then heated to generate electricity through generator sets to meet the needs of peak loads. Underground caves usually include natural salt caverns and artificially constructed gas storage reservoirs. Natural salt caverns are limited by salt cavern resource conditions, and this gas storage solution has encountered a promotion bottleneck. The key consideration in the construction of gas storage reservoirs is sealing.

[0070] Gas storage is usually sealed by setting a sealing layer on the lining. However, during the repeated injection and production of gas in the gas storage, the sealing layer may leak, causing high-pressure gas to leak from the gas storage. This leakage not only wastes energy, but also reduces the safety factor of the gas storage.

[0071] Based on the above technical problems, an embodiment of the present invention is proposed. The embodiment of the present invention may include first acquiring the optical fiber sensing data of the distributed acoustic optical fiber detection arranged in the gas storage, and then performing image conversion on the optical fiber sensing data to determine the corresponding binary sensing image. Then, based on the binary sensing image and the preset target pixel value, it is determined whether the gas storage has a gas leak, wherein the target pixel value is associated with the abnormal signal strength. And in the case of a gas leak in the gas storage, the abnormal arrival time corresponding to the signal is determined based on the binary sensing image. According to the abnormal arrival time and the theoretical arrival time, the corrected leakage point position of the gas storage is determined, and finally, based on the binary sensing image and the corrected leakage point position, early warning information is generated and output. Thus, the optical fiber sensing data monitored by the optical fiber can be converted into image recognition, and the leakage point position corresponding to the gas storage when a gas leak occurs can be determined by the image. Thus, gas leakage can be timely monitored and the leakage point can be accurately located during the operation of the gas storage, which is convenient for maintenance personnel to handle the leakage in time. Thus, energy waste can be reduced and the safety factor of the gas storage can be improved.

[0072] Reference Figure 1 , shows a leakage monitoring method based on gas storage structure parameters provided by an embodiment of the present invention, which is applied to a monitoring service end. The method may include:

[0073] S101. Acquire optical fiber sensing data of distributed acoustic optical fiber detection arranged in a gas storage reservoir.

[0074] In the embodiment of the present invention, the installation position of the distributed acoustic fiber is determined according to the structural parameters of the gas storage reservoir. The structural parameters may include the lining thickness of the gas storage reservoir, the radius of the gas storage reservoir, and the length of the gas storage reservoir in the axial direction. Figure 4 and Figure 5 As shown, the distributed acoustic optical fiber can be arranged in two layers, and the inner layer of the distributed acoustic optical fiber 4 can be arranged on the inner surface of the gas storage lining 3, that is, between the gas storage lining 3 and the lining sealing layer 5. The outer layer of the distributed acoustic optical fiber 2 can be arranged on the outer surface of the gas storage lining 3, that is, between the gas storage lining 3 and the gas storage surrounding rock 1. Among them, the inner layer of the distributed acoustic optical fiber 4 is evenly distributed in a ring shape along the inner surface of the gas storage lining 3, and forms a comprehensive coverage of the inner surface of the gas storage lining 3. It is mainly used to monitor whether the lining sealing layer 5 has cracks. The fine cracks generated in the lining sealing layer 5 may also cause gas leakage in the gas storage.

[0075] The outer layer of distributed acoustic optical fiber 2 forms a uniform annular distribution along the outer surface of the gas storage lining 3. It is used to monitor whether there is gas leakage caused by changes in the external environmental pressure of the gas storage or damage to the gas storage lining 3. The arrangement density of the outer layer of distributed acoustic optical fiber 2 can be smaller than the arrangement density of the inner layer of distributed acoustic optical fiber 4, and it is necessary to ensure that the outer layer of distributed acoustic optical fiber 2 forms a comprehensive coverage of the outer surface of the gas storage lining 3. In addition, the outer layer of distributed acoustic optical fiber 2 and the inner layer of distributed acoustic optical fiber 4 can also form an annular distribution along the length direction of the gas storage (also referred to as the axial direction of the gas storage). Comprehensive coverage can be understood as the optical fiber being able to form a blind-angle-free monitoring of the inner surface or outer surface of the gas storage lining 3.

[0076] Pulsed lasers can be injected into the distributed acoustic fiber through a pulsed laser source, and each pulse propagates through the distributed acoustic fiber and generates Rayleigh scattering at the location of tiny inhomogeneities in the distributed acoustic fiber (each scattering point is a sensor).

[0077] A light detector is used to receive the scattered signal transmitted from the distributed acoustic optical fiber, and the scattered signal is converted into an electrical signal by the light detector. Thus, the signal strength, signal arrival time and signal sensing position of the distributed acoustic optical fiber are obtained through the change of the scattered signal. The light detector can transmit the optical fiber sensing data to the monitoring service end.

[0078] S102: Perform image conversion on the optical fiber sensing data to determine a corresponding binary sensing image.

[0079] In the embodiment of the present invention, a corresponding binary sensing image can be generated based on the three data types of the optical fiber signal strength, the signal arrival time and the signal sensing position. The binary sensing image refers to an image that only includes two pixel values, black and white. For example, the signal strength in the optical fiber sensing data can be converted into a pixel value feature, such as an RGB value or a grayscale value. Thus, the signal strength can be visualized.

[0080] In some implementations, the signal arrival time in the optical fiber sensing data can be used as the horizontal coordinate value or the vertical coordinate value of the pixel point in the binary sensing image. The signal sensing position in the optical fiber sensing data can be used as the vertical coordinate value or the horizontal coordinate value of the pixel point in the binary sensing image. And so on, the binary sensing image is obtained.

[0081] For example, the abnormal signal strength can be preset, so that when determining the pixel values ​​corresponding to different pixel points, screening is performed based on the abnormal signal strength. When the monitored signal strength is greater than or equal to the abnormal signal strength, the pixel value of the corresponding pixel point is determined to be the first pixel value. When the monitored signal strength is less than the abnormal signal strength, the pixel value of the corresponding pixel point is determined to be the second pixel value.

[0082] S103. Determine whether a gas leak occurs in the gas storage according to the binary sensor image and a preset target pixel value, wherein the target pixel value is associated with an abnormal signal intensity.

[0083] In the embodiment of the present invention, the target pixel value refers to the pixel value corresponding to the signal strength being greater than or equal to the abnormal signal strength. Therefore, after determining the binary sensor image, the target pixel value can be traversed and matched in the binary sensor image to determine whether the target pixel value exists in the binary sensor image. If the target pixel value is matched, it is determined that a gas leak occurs in the gas storage, and the following step S104 is executed. If the target pixel value is not matched, it is determined that the gas storage is operating normally. Execute the above step S101.

[0084] S104. When a gas leak occurs in the gas storage, determine an abnormal arrival time corresponding to the optical fiber signal based on the binary sensor image.

[0085] In the embodiment of the present invention, when a gas leak occurs in the gas storage, the time when the optical fiber abnormal signal first appears can be determined from the binary sensor image in time sequence, and determined as the abnormal arrival time. For example, the binary sensor image can be traversed from top to bottom and from left to right to find the first pixel point where the target pixel value appears, and the time of the corresponding pixel point is determined, which is the abnormal arrival time. The signal sensing position of the corresponding pixel point is used as the abnormal signal sensing position, which can be the measured leakage point of the gas storage.

[0086] S105. Determine the corrected leakage point position of the gas storage according to the abnormal arrival time and the theoretical arrival time.

[0087] In the embodiment of the present invention, considering that the optical fiber sensing data may have data reception delays, in order to further improve the positioning accuracy of the leakage point, the theoretical arrival time corresponding to the optical fiber abnormal signal can be calculated according to the preset theoretical time rule. Therefore, the position of the corrected leakage point of the gas storage reservoir can be determined based on the arrival time difference between the theoretical arrival time and the abnormal arrival time. For example, based on the propagation speed of the laser signal in the distributed acoustic optical fiber and the arrival time difference, the distance between the corrected leakage point and the measured leakage point can be calculated, and the distance between two adjacent sensors can be set to determine the position of the corrected leakage point.

[0088] S106: Generate warning information based on the binary sensor image and the corrected leakage point position, and output the warning information.

[0089] In the embodiment of the present invention, after the monitoring service end determines the location of the leakage point, early warning information may be generated, wherein the early warning information at least includes the location of the leakage point.

[0090] In some optional embodiments, the monitoring service end can form a communication connection with the sound and light alarm device, thereby sending warning information to the sound and light alarm device, so that the sound and light alarm device can voice broadcast the warning information. In addition, the monitoring service end can also form a communication connection with the user terminal or the remote monitoring terminal, thereby sending warning information to the user terminal and / or the remote monitoring terminal, and displaying the warning information. This reminds the maintenance personnel to repair the leak in time according to the corrected leak point position. In this way, energy waste can be reduced and the safety factor of the gas storage reservoir can be improved.

[0091] Furthermore, in the embodiment of the present invention, the optical fiber sensing data is converted into a binary sensing image, that is, the analog signal is converted into a visual image, so that the user can more easily observe the start time and leakage point of the gas leakage in the gas storage from the binary sensing image, thereby reducing the difficulty of the user in monitoring the data of the gas storage.

[0092] Reference Figure 2 , shows another leakage monitoring method based on gas storage structure parameters provided by an embodiment of the present invention, which is applied to a monitoring service end. The method may include:

[0093] S201. Acquire optical fiber sensing data of distributed acoustic optical fiber detection arranged in a gas storage reservoir.

[0094] In the embodiment of the present invention, the installation position of the distributed acoustic fiber is determined according to the structural parameters of the gas storage reservoir. The structural parameters may include the lining thickness of the gas storage reservoir, the radius of the gas storage reservoir, and the length of the gas storage reservoir in the axial direction. Figure 4 and Figure 5 As shown, the distributed acoustic optical fiber can be arranged in two layers, and the inner layer of the distributed acoustic optical fiber 4 can be arranged on the inner surface of the gas storage lining 3, that is, between the gas storage lining 3 and the lining sealing layer 5. The outer layer of the distributed acoustic optical fiber 2 can be arranged on the outer surface of the gas storage lining 3, that is, between the gas storage lining 3 and the gas storage surrounding rock 1. Among them, the inner layer of the distributed acoustic optical fiber 4 is evenly distributed in a ring shape along the inner surface of the gas storage lining 3, and forms a comprehensive coverage of the inner surface of the gas storage lining 3. It is mainly used to monitor whether the lining sealing layer 5 has cracks. The fine cracks generated in the lining sealing layer 5 may also cause gas leakage in the gas storage.

[0095] The outer layer of distributed acoustic optical fiber 2 forms a uniform annular distribution along the outer surface of the gas storage lining 3. It is used to monitor whether there is gas leakage caused by changes in the external environmental pressure of the gas storage or damage to the gas storage lining 3. The arrangement density of the outer layer of distributed acoustic optical fiber 2 can be smaller than the arrangement density of the inner layer of distributed acoustic optical fiber 4, and it is necessary to ensure that the outer layer of distributed acoustic optical fiber 2 forms a comprehensive coverage of the outer surface of the gas storage lining 3. In addition, the outer layer of distributed acoustic optical fiber 2 and the inner layer of distributed acoustic optical fiber 4 can also form an annular distribution along the length direction of the gas storage (also referred to as the axial direction of the gas storage). Comprehensive coverage can be understood as the optical fiber being able to form a blind-angle-free monitoring of the inner surface or outer surface of the gas storage lining 3.

[0096] A pulsed laser source can be used to inject pulsed lasers into the distributed acoustic fiber. Each pulse propagates through the distributed acoustic fiber and generates Rayleigh scattering at the location of tiny inhomogeneities in the distributed acoustic fiber (each scattering point is a sensor). A light detector is used to receive the scattered signal transmitted from the distributed acoustic fiber, and the scattered signal is converted into an electrical signal by the light detector. Thus, the signal strength, signal arrival time, and signal sensing position of the distributed acoustic fiber are obtained through the change of the scattered signal. The light detector can transmit the optical fiber sensing data to the monitoring service end. Among them, considering that when a gas leak occurs in a gas storage reservoir, a large noise or vibration caused by air pressure will be generated at the leak. Therefore, the signal strength can be a vibration intensity or a sound wave intensity.

[0097] S202: Create a signal matrix according to the optical fiber sensing data.

[0098] In an embodiment of the present invention, a signal matrix corresponding to the optical fiber sensing data can be generated based on three data types: signal strength of the optical fiber, signal arrival time, and signal sensing position. In some embodiments, the signal arrival time in the optical fiber sensing data can be used as a row or column of the signal matrix. The signal sensing position in the optical fiber sensing data can be used as a column or row of the signal matrix, and the signal strength in the optical fiber sensing data can be used as an element of the signal matrix. By analogy, a signal matrix corresponding to the optical fiber sensing data is generated. Among them, the signal matrix can be as follows:

[0099]

[0100] In the above formula (1), M(t,x) refers to the signal matrix, S mn Indicates the signal strength at the nth signal sensing position at the time when the mth signal arrives.

[0101] S203 , performing grayscale processing on all elements in the signal matrix to generate a signal grayscale image.

[0102] In the embodiment of the present invention, all elements in the signal matrix may be gray-scaled, thereby facilitating the subsequent conversion of the image into a binary sensing image.

[0103] Considering that the grayscale value range is 0-255, the value of each element in the signal matrix can be converted into a grayscale value. In some optional embodiments of the invention, all elements in the signal matrix are accumulated to obtain a cumulative element value. For example, the cumulative element value S sum =S 11 +S 12 +……+S 1n +……+S mm Each element in the signal matrix is ​​multiplied by the grayscale upper limit value according to the element ratio of its own element value to the cumulative element value to obtain the grayscale value corresponding to each element. 11 h=Ceil(S 11 / S sum *255). Among them, S 11 h is the element S 11 The corresponding grayscale value, Ceil, refers to rounding up. By analogy, the signal grayscale image corresponding to the signal matrix is ​​obtained.

[0104] In other optional embodiments of the invention, a grayscale association relationship between different signal intensities and grayscale values ​​may be pre-established. Therefore, after determining the signal matrix, the grayscale values ​​associated with each element value in the signal matrix are matched according to the grayscale association relationship. The rows of the signal matrix are used as the length (horizontal coordinate) or width (vertical coordinate) of the signal grayscale image, and the columns of the signal matrix are used as the width (vertical coordinate) or length (horizontal coordinate) of the signal grayscale image. Thus, the signal grayscale image corresponding to the signal matrix can be generated on the basis of retaining information such as the signal arrival time and the signal sensing position. The signal grayscale image finally obtained is as shown in FIG. Figure 6 shown.

[0105] S204 , binarizing the signal grayscale image according to a preset signal abnormality threshold value to determine a corresponding binary sensing image.

[0106] In an embodiment of the present invention, the signal abnormality threshold may be the grayscale value corresponding to the abnormal signal intensity monitored when the gas storage reservoir leaks. It may be determined by a person skilled in the art based on actual test results. Thus, the signal grayscale image may be screened for grayscale values ​​based on a preset signal abnormality threshold. For example, when the pixel point corresponding to the signal grayscale image is greater than or equal to the signal abnormality threshold, the pixel value of the corresponding pixel point is determined to be a first pixel value. When the pixel point corresponding to the signal grayscale image is less than the signal abnormality threshold, the pixel value of the corresponding pixel point is determined to be a second pixel value. Thus, all pixels in the signal grayscale image are binarized to obtain a binary sensor image. Figure 7 As shown, the binary sensor image refers to an image that only includes two pixel values: black (0) and white (255).

[0107] In some optional embodiments, a denoising operation is performed on the binary sensor image. For example, the denoising operation may include using morphological algorithms such as corrosion, expansion, opening operation and closing operation to remove noise and small interference areas from the binary sensor image and obtain an updated binary sensor image, so that the updated binary sensor image enhances the connectivity between signal areas and can improve the recognition accuracy of gas leakage and the arrival time of the following abnormal signals.

[0108] S205: Determine whether a gas leak occurs in the gas storage according to the binary sensor image and a preset target pixel value.

[0109] In the embodiment of the present invention, the target pixel value refers to the pixel value corresponding to the signal strength being greater than or equal to the abnormal signal strength. Therefore, after determining the binary sensor image, the target pixel value can be traversed and matched in the binary sensor image to determine whether the target pixel value exists in the binary sensor image. If the target pixel value is matched, it is determined that a gas leak occurs in the gas storage, and the following step S206 is executed. If the target pixel value is not matched, it is determined that the gas storage is operating normally. Execute the above step S201.

[0110] S206. Determine the abnormal arrival time corresponding to the optical fiber signal based on the binary sensing image.

[0111] In the embodiment of the present invention, when a gas leak occurs in the gas storage, the time when the optical fiber abnormal signal first appears can be determined from the binary sensor image in time sequence, and determined as the abnormal arrival time. For example, the binary sensor image can be traversed from top to bottom and from left to right to find the first pixel point where the target pixel value appears, and the time of the corresponding pixel point is determined, which is the abnormal arrival time. The signal sensing position of the corresponding pixel point is used as the abnormal signal sensing position.

[0112] S207. Determine the corrected leakage point position of the gas storage according to the abnormal arrival time and the theoretical arrival time.

[0113] In the embodiment of the present invention, considering that the optical fiber sensing data may have data reception delays, in order to further improve the positioning accuracy of the leakage point, the theoretical arrival time corresponding to the optical fiber abnormal signal can be calculated according to the preset theoretical time rule. Therefore, the position of the corrected leakage point of the gas storage reservoir can be determined based on the arrival time difference between the theoretical arrival time and the abnormal arrival time. For example, based on the propagation speed of the laser signal in the distributed acoustic optical fiber and the arrival time difference, the distance between the corrected leakage point and the measured leakage point can be calculated, and the distance between two adjacent sensors can be set to determine the position of the corrected leakage point.

[0114] In some optional embodiments of the invention, a grid search method may also be used to determine the location of the leakage point by minimizing the residual of the theoretical arrival time difference and the observed arrival time difference of all sensor pairs.

[0115] The theoretical arrival time difference of each pair of sensors k and l at grid point (i, j) is calculated using the following formula:

[0116]

[0117] In the above formula (2), two sensors at adjacent positions can be regarded as a sensor pair, for example, the first sensor and the second sensor are a sensor pair, the third sensor and the fourth sensor are a sensor pair, and so on. i is the horizontal coordinate of the grid point (i, j); y i is the ordinate of the grid point (i, j), (x k ,y k ) and (x l ,y l ) are the coordinates of sensors k and l, V s is the theoretical propagation speed of the laser in the distributed acoustic fiber. Calculate the time residual between the theoretical arrival time difference and the abnormal arrival time difference:

[0118]

[0119] In the above formula (3), res kl (i, j) refers to the time residual, Δt obs kl is the abnormal arrival time difference of sensor pair k and l, which is obtained based on the difference between the abnormal arrival time of sensor k in the sensor pair and the abnormal arrival time of sensor l; Δt cal kl (i, j) is the theoretical arrival time difference. And calculate the root mean square residual of all N pairs of sensors:

[0120]

[0121] In the above formula (4), R ij refers to the root mean square residual; res p (i, j) is the time residual of sensor pair p (or the Pth sensor pair among N sensor pairs) at grid point (i, j), and N is the total number of sensor pairs. The RMS residual is converted to a probability value, and the corrected leak point location corresponds to the maximum probability value, as shown in the following formula:

[0122]

[0123] In the above formula (5), P ij Refers to the predicted probability value of leakage at the grid point (i, j); is the maximum value of the inverse of the RMS residual 1 / R over all grid points; and It is the minimum value of the inverse of the root mean square residual error of all grid points 1 / R. Therefore, the grid point corresponding to the maximum predicted probability value is taken as the correction leakage point to obtain the correction leakage point position.

[0124] S208: Generate warning information based on the binary sensor image and the corrected leakage point position, and output the warning information.

[0125] In the embodiment of the present invention, after the monitoring service determines the corrected leakage point location, early warning information can be generated, wherein the early warning information at least includes the corrected leakage point location and the binary sensor image, so that the monitored leakage distribution of the gas storage reservoir can be displayed to the user through the binary sensor image to form a visualization of the leakage distribution. And the specific leakage location of the gas storage reservoir can be determined through the corrected leakage point location information.

[0126] In some optional embodiments, the monitoring service end can form a communication connection with the sound and light alarm device, thereby sending warning information to the sound and light alarm device, so that the sound and light alarm device can voice broadcast the warning information. In addition, the monitoring service end can also form a communication connection with the user terminal or the remote monitoring terminal, thereby sending warning information to the user terminal and / or the remote monitoring terminal, and displaying the warning information. This reminds the maintenance personnel to repair the leak in time according to the corrected leak point position. In this way, energy waste can be reduced and the safety factor of the gas storage reservoir can be improved.

[0127] Furthermore, in the embodiment of the present invention, the optical fiber sensing data is converted into a binary sensing image, that is, the analog signal is converted into a visual image, so that the user can more easily observe the start time and leakage point of the gas leakage in the gas storage from the binary sensing image, thereby reducing the difficulty of the user in monitoring the data of the gas storage.

[0128] In summary, the embodiment of the present invention also discloses a leakage monitoring method based on the structural parameters of a gas storage reservoir, which may include first acquiring the optical fiber sensing data of the distributed acoustic optical fiber detection arranged in the gas storage reservoir, and then performing image conversion on the optical fiber sensing data to determine the corresponding binary sensing image. Then, based on the binary sensing image and the preset target pixel value, it is determined whether the gas storage reservoir has a gas leak, wherein the target pixel value is associated with the abnormal signal intensity. And in the case of a gas leak in the gas storage reservoir, the abnormal arrival time corresponding to the signal is determined based on the binary sensing image. Based on the abnormal arrival time and the theoretical arrival time, the corrected leakage point position of the gas storage reservoir is determined, and finally, based on the binary sensing image and the corrected leakage point position, early warning information is generated and output. Thus, the optical fiber sensing data monitored by the optical fiber can be converted into image recognition, and the leakage point position corresponding to the gas storage reservoir when a gas leak occurs can be determined by the image. Thus, gas leakage can be monitored in time and the leakage point can be accurately located during the operation of the gas storage reservoir, so that maintenance personnel can handle the leakage in time. In this way, energy waste can be reduced and the safety factor of the gas storage can be improved.

[0129] It should be noted that, for the method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present application are not limited by the described order of actions, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present application.

[0130] Reference Figure 3 , shows a leakage monitoring device based on gas storage reservoir structural parameters provided by an embodiment of the present invention, the device may include:

[0131] The signal acquisition module 301 is used to acquire the optical fiber sensing data of the distributed acoustic optical fiber detection arranged in the gas storage reservoir, and the optical fiber sensing data includes signal strength, signal arrival time and signal sensing position.

[0132] The image conversion module 302 is used to perform image conversion on the optical fiber sensing data to determine a corresponding binary sensing image.

[0133] The leakage determination module 303 is used to determine whether a gas leakage occurs in the gas storage according to the binary sensor image and a preset target pixel value, wherein the target pixel value is associated with the abnormal signal intensity.

[0134] The monitoring time determination module 304 is used to determine the abnormal arrival time corresponding to the signal based on the binary sensor image when a gas leak occurs in the gas storage.

[0135] The leakage point determination module 305 is used to determine the corrected leakage point position of the gas storage according to the abnormal arrival time and the theoretical arrival time.

[0136] The warning module 306 is used to generate warning information based on the binary sensor image and the corrected leakage point position, and output the warning information.

[0137] In an optional embodiment of the invention, the image conversion module 302 includes:

[0138] The matrix creation submodule is used to create a signal matrix based on the optical fiber sensing data, wherein the rows of the signal matrix represent signal arrival times, the columns of the signal matrix represent signal sensing data, and the elements of the signal matrix represent signal strengths.

[0139] The image conversion submodule is used to perform grayscale processing on all elements in the signal matrix to generate a signal grayscale image.

[0140] The binary image generating word module is used to perform binary processing on the signal grayscale image according to a preset signal abnormality threshold value to determine the corresponding binary sensor image.

[0141] In an optional embodiment of the invention, the image conversion submodule may include:

[0142] The element accumulation unit is used to accumulate all elements in the signal matrix to obtain accumulated element values.

[0143] The image conversion unit is used to determine the grayscale value corresponding to each pixel point according to each element value, the cumulative element value and the grayscale upper limit value in the signal matrix, and obtain a signal grayscale image.

[0144] In an optional embodiment of the invention, the image conversion submodule may also be used for:

[0145] The grayscale values ​​associated with each element value in the signal matrix are matched to generate a signal grayscale image.

[0146] In an optional embodiment of the invention, the leakage determination module 303 may include:

[0147] The pixel matching submodule is used to match the pixel values ​​of each pixel in the binary sensor image.

[0148] The leakage determination submodule is used to determine that a gas leakage occurs in the gas storage if the target pixel value is matched in the binary sensor image.

[0149] The leakage determination submodule is further used to determine that the gas storage is operating normally if the target pixel value is not matched in the binary sensor image.

[0150] In an optional embodiment of the invention, the monitoring time determination module 304 is further configured to:

[0151] Based on the pixel position corresponding to the target pixel value in the binary sensor image, the signal arrival time of the leakage signal is determined.

[0152] In an optional embodiment of the invention, the device may further include a denoising module, wherein the denoising module is used to:

[0153] A denoising operation is performed on the binary sensor image to obtain an updated binary sensor image.

[0154] In summary, the embodiment of the present invention also discloses a leakage monitoring device based on the structural parameters of a gas storage reservoir, and the device may include first obtaining the optical fiber sensing data of the distributed acoustic optical fiber detection arranged in the gas storage reservoir, and then performing image conversion on the optical fiber sensing data to determine the corresponding binary sensing image. Then, based on the binary sensing image and the preset target pixel value, it is determined whether the gas storage reservoir has a gas leak, wherein the target pixel value is associated with the abnormal signal strength. And in the case of a gas leak in the gas storage reservoir, the abnormal arrival time corresponding to the signal is determined based on the binary sensing image. According to the abnormal arrival time and the theoretical arrival time, the corrected leakage point position of the gas storage reservoir is determined, and finally, based on the binary sensing image and the corrected leakage point position, early warning information is generated and output. Thus, the optical fiber sensing data monitored by the optical fiber can be converted into image recognition, and the leakage point position corresponding to the gas storage reservoir when a gas leak occurs can be determined by the image. Thus, gas leakage can be monitored in time and the leakage point can be accurately located during the operation of the gas storage reservoir, so that maintenance personnel can handle the leakage in time. In this way, energy waste can be reduced and the safety factor of the gas storage can be improved.

[0155] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0156] It is easy for a person skilled in the art to think that any combination of the above embodiments is feasible, so any combination of the above embodiments is an implementation scheme of the present invention. However, due to space limitations, this specification will not describe them in detail here.

[0157] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0158] Similarly, it should be understood that in order to streamline the present invention and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting the intention that the claimed invention requires more features than those expressly recited in each claim. Rather, as reflected in the claims, inventive aspects lie in less than all of the features of the individual embodiments previously disclosed. Therefore, the claims that follow the detailed description are hereby expressly incorporated into the detailed description, with each claim itself serving as a separate embodiment of the present invention.

[0159] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition they may be divided into a plurality of submodules or subunits or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0160] An electronic device, comprising:

[0161] one or more processors;

[0162] Memory;

[0163] One or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs are configured to execute the method described in the above embodiment.

[0164] A computer-readable storage medium stores a computer program used in combination with an electronic device, wherein the computer program can be executed by a processor to implement the method described in the above embodiment.

[0165] A computer program product includes a computer program / computer executable instructions, wherein the computer program / computer executable instructions, when executed by a processor in an electronic device, implements any one of the methods in the above-mentioned invention embodiments.

[0166] It will be appreciated by those skilled in the art that the embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0167] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0168] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0169] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0170] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0171] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the occurrence of other identical elements in the process, method, article or terminal device including the elements.

[0172] The above is a detailed introduction to a leakage monitoring method based on gas storage reservoir structural parameters and a leakage monitoring device for a compressed gas energy storage reservoir provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A leakage monitoring method based on gas storage reservoir structural parameters, characterized in that: The method comprises: Acquire optical fiber sensing data of distributed acoustic optical fiber detection arranged in the gas storage reservoir, wherein the optical fiber sensing data includes signal strength, signal arrival time and signal sensing position, wherein the installation position of the distributed acoustic optical fiber is determined according to the structural parameters of the gas storage reservoir; Performing image conversion on the optical fiber sensing data to determine a corresponding binary sensing image; Determining whether a gas leak occurs in the gas storage according to the binary sensor image and a preset target pixel value, wherein the target pixel value is associated with the abnormal signal intensity; In the event of a gas leak in the gas storage, determining an abnormal arrival time corresponding to an optical fiber signal based on the binary sensor image; Determining the corrected leakage point position of the gas storage according to the abnormal arrival time and the theoretical arrival time; Early warning information is generated based on the binary sensor image and the corrected leakage point position, and the early warning information is output.

2. The leakage monitoring method based on gas storage reservoir structural parameters according to claim 1 is characterized in that: The step of performing image conversion on the optical fiber sensing data to determine a corresponding binary sensing image includes: Creating a signal matrix according to the optical fiber sensing data, wherein the rows of the signal matrix represent signal arrival times, the columns of the signal matrix represent signal sensing data, and the elements of the signal matrix represent signal strengths; Performing grayscale processing on all elements in the signal matrix to generate a signal grayscale image; According to a preset signal abnormality threshold, the signal grayscale image is binarized to determine a corresponding binary sensing image.

3. The leakage monitoring method based on gas storage reservoir structural parameters according to claim 2 is characterized in that: The grayscale processing of all elements in the signal matrix to generate a signal grayscale image includes: Accumulating all elements in the signal matrix to obtain accumulated element values; According to each element value, the cumulative element value and the grayscale upper limit value in the signal matrix, the grayscale value corresponding to each pixel is determined, and a signal grayscale image is obtained.

4. The leakage monitoring method based on gas storage reservoir structural parameters according to claim 2 is characterized in that: The grayscale processing of all elements in the signal matrix to generate a signal grayscale image includes: The grayscale values ​​associated with each element value in the signal matrix are matched to generate a signal grayscale image.

5. The leakage monitoring method based on gas storage reservoir structural parameters according to claim 2 is characterized in that: The determining whether gas leakage occurs in the gas storage according to the binary sensor image and the preset target pixel value includes: Performing pixel value matching on each pixel point in the binary sensor image; If the target pixel value is matched in the binary sensor image, it is determined that a gas leak occurs in the gas storage; If the target pixel value is not matched in the binary sensor image, it is determined that the gas storage is operating normally.

6. The leakage monitoring method based on gas storage reservoir structural parameters according to claim 5 is characterized in that: The determining the abnormal arrival time corresponding to the signal based on the binary sensor image comprises: Based on the pixel position corresponding to the target pixel value in the binary sensor image, the signal arrival time of the leakage signal is determined.

7. The leakage monitoring method based on gas storage reservoir structural parameters according to claim 2 is characterized in that: The method further comprises: A denoising operation is performed on the binary sensor image to obtain an updated binary sensor image.

8. A leakage monitoring device based on gas storage reservoir structural parameters, characterized in that: The device comprises: A signal acquisition module, used to acquire optical fiber sensing data of distributed acoustic optical fiber detection arranged in the gas storage reservoir, wherein the optical fiber sensing data includes signal strength, signal arrival time and signal sensing position, wherein the installation position of the distributed acoustic optical fiber is determined according to the structural parameters of the gas storage reservoir; An image conversion module, used for performing image conversion on the optical fiber sensing data to determine a corresponding binary sensing image; A leakage determination module, used for determining whether a gas leakage occurs in the gas storage according to the binary sensor image and a preset target pixel value, wherein the target pixel value is associated with the abnormal signal intensity; A monitoring time determination module, used for determining the abnormal arrival time corresponding to the signal based on the binary sensor image when a gas leak occurs in the gas storage; A leakage point determination module, used to determine the corrected leakage point position of the gas storage according to the abnormal arrival time and the theoretical arrival time; The early warning module is used to generate early warning information based on the binary sensor image and the corrected leakage point position, and output the early warning information.

9. The leakage monitoring device based on gas storage structure parameters according to claim 8 is characterized in that: The image conversion module comprises: A matrix creation submodule, used to create a signal matrix according to the optical fiber sensing data, wherein the rows of the signal matrix represent signal arrival times, the columns of the signal matrix represent signal sensing data, and the elements of the signal matrix represent signal strengths; An image conversion submodule, used for performing grayscale processing on all elements in the signal matrix to generate a signal grayscale image; The binary image generating word module is used to perform binary processing on the signal grayscale image according to a preset signal abnormality threshold value to determine the corresponding binary sensor image.

10. The leakage monitoring device based on gas storage reservoir structural parameters according to claim 9, characterized in that: The image conversion submodule comprises: An element accumulation unit, used for accumulating all elements in the signal matrix to obtain accumulated element values; The image conversion unit is used to determine the grayscale value corresponding to each pixel point according to each element value, the cumulative element value and the grayscale upper limit value in the signal matrix, and obtain a signal grayscale image.

11. The leakage monitoring device based on gas storage reservoir structural parameters according to claim 9, characterized in that: The image conversion submodule is also used for: The grayscale values ​​associated with each element value in the signal matrix are matched to generate a signal grayscale image.

12. The leakage monitoring device based on gas storage reservoir structural parameters according to claim 9, characterized in that: The leakage determination module comprises: A pixel matching submodule, used for matching pixel values ​​of each pixel in the binary sensor image; A leakage determination submodule, configured to determine that a gas leakage occurs in the gas storage if the target pixel value is matched in the binary sensor image; The leakage determination submodule is further used to determine that the gas storage is operating normally if the target pixel value is not matched in the binary sensor image.

13. The leakage monitoring device based on gas storage reservoir structural parameters according to claim 9, characterized in that: The determining the abnormal arrival time corresponding to the signal based on the binary sensor image comprises: Based on the pixel position corresponding to the target pixel value in the binary sensor image, the signal arrival time of the leakage signal is determined.

14. An electronic device, characterized in that: include: one or more processors; Memory; One or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs are configured to execute the method according to any one of claims 1 to 7.

15. A computer-readable storage medium storing a computer program for use in conjunction with an electronic device, characterized in that: The computer program can be executed by a processor to implement the method according to any one of claims 1 to 7.

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