Gas storage structure parameter-based leakage monitoring method, device, equipment and medium

Abstract

This invention discloses a leakage monitoring method, device, equipment, and medium based on the structural parameters of a gas storage facility, relating to the field of energy storage technology. The invention includes first acquiring fiber optic sensing data from distributed acoustic fiber optic detectors deployed within the gas storage facility, then performing image conversion to determine the corresponding binary sensing image, and determining whether a gas leak has occurred in the gas storage facility. In the event of a gas leak, the arrival time of the leak signal is determined based on the binary sensing image. The location of the corrected leak point in the gas storage facility is also determined. Finally, an early warning message is generated and output based on the target two-dimensional image and the corrected leak point location. This allows for the conversion of fiber optic sensing data from fiber optic monitoring into image recognition, and the determination of the leak point location in the gas storage facility when a gas leak occurs. This enables timely monitoring of gas leaks and accurate location of leak points during the operation of the gas storage facility, facilitating leak handling by maintenance personnel.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy storage, in particular to a leakage monitoring method and device based on structural parameters of a gas storage, equipment and a medium. BACKGROUND

[0002] The compressed air energy storage power station is a new type of energy storage power station, which uses the excess power during the low load period of the power system to compress and store air in underground caves, and releases it when needed, heats it and generates electricity through a generator set to meet the needs of peak load. The underground cave usually includes natural salt cave and artificially constructed gas storage, etc. The natural salt cave is limited by the resource conditions of the salt cave, and the gas storage scheme has a bottleneck for popularization. The key consideration in the construction process of the gas storage is the sealing property.

[0003] The gas storage is usually sealed by setting a sealing layer on the lining. However, during the repeated gas injection and extraction operation of the gas storage, the sealing layer may leak, causing high-pressure gas to leak from the gas storage. Such leakage not only wastes energy, but also reduces the safety factor of the gas storage. SUMMARY

[0004] In view of the above problems, the present application is proposed in order to provide a leakage monitoring method and device based on structural parameters of a gas storage, equipment and a medium which overcomes the above problems or at least partially solves the above problems.

[0005] According to a first aspect of the present application, a leakage monitoring method based on structural parameters of a gas storage is provided, the method comprising:

[0006] obtaining optical fiber sensing data of distributed acoustic optical fiber detection arranged in the gas storage, the optical fiber sensing data including signal intensity, 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;

[0007] converting the optical fiber sensing data into an image to determine a corresponding binary sensing image;

[0008] determining whether the gas storage has gas leakage according to the binary sensing image and a preset target pixel value, wherein the target pixel value is associated with abnormal signal intensity;

[0009] in the case where the gas storage has gas leakage, determining an abnormal arrival time corresponding to the signal based on the binary sensing image;

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

[0011] Generate early warning information based on the binary sensing image and the corrected leak point position, and output the early warning information.

[0012] An optional summary of the invention, the image conversion of the optical fiber sensing data is determined, and the corresponding binary sensing image is determined.

[0013] Create a signal matrix according to the optical fiber sensing data, wherein the rows of the signal matrix represent the signal arrival time, the columns of the signal matrix represent the signal sensing data, and the elements of the signal matrix represent the signal intensity;

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

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

[0016] An optional summary of the invention, the signal grayscale image is generated by gray processing all elements in the signal matrix, including:

[0017] Cumulative elements are obtained by accumulating all elements in the signal matrix;

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

[0019] An optional summary of the invention, the signal grayscale image is generated by gray processing all elements in the signal matrix, including:

[0020] Match the gray value associated with each element value in the signal matrix to generate a signal grayscale image.

[0021] An optional summary of the invention, the gas leakage of the gas storage is determined according to the binary sensing image and the preset target pixel value, including:

[0022] Pixel value matching is performed on each pixel point in the binary sensing image;

[0023] If the target pixel value is matched in the binary sensing image, it is determined that the gas storage has gas leakage;

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

[0025] An optional summary of the invention, the abnormal arrival time corresponding to the signal is determined based on the binary sensing image, including:

[0026] Determine a signal arrival time of the leakage signal based on a pixel point position corresponding to a target pixel value in the binary sensing image.

[0027] An optional summary of the application, the method further comprises:

[0028] Perform a denoising operation on the binary sensing image to obtain an updated binary sensing image.

[0029] Based on the second aspect of the application, a leakage monitoring device based on the structure parameters of the gas storage is also provided, and the device comprises:

[0030] A signal acquisition module is configured to acquire fiber sensing data of distributed acoustic fiber detection arranged in the gas storage, wherein the fiber sensing data comprises signal intensity, signal arrival time and signal sensing position, and the installation position of the distributed acoustic fiber is determined according to the structure parameters of the gas storage.

[0031] An image conversion module is configured to convert the fiber sensing data into a corresponding binary sensing image.

[0032] A leakage determination module is configured to determine whether the gas storage has gas leakage according to the binary sensing image and a preset target pixel value, wherein the target pixel value is associated with abnormal signal intensity.

[0033] A monitoring time determination module is configured to determine an abnormal arrival time corresponding to a signal based on the binary sensing image in the case that the gas storage has gas leakage.

[0034] A leakage point determination module is configured to determine a corrected leakage point position of the gas storage based on the abnormal arrival time and a theoretical arrival time.

[0035] A warning module is configured to generate warning information based on the binary sensing image and the corrected leakage point position, and output the warning information.

[0036] An optional summary of the application, the image conversion module comprises:

[0037] A matrix creation submodule is configured to create a signal matrix based on the fiber sensing data, wherein a row of the signal matrix represents a signal arrival time, a column of the signal matrix represents signal sensing data, and an element of the signal matrix represents signal intensity.

[0038] An image conversion submodule is configured to perform grayscale processing on all elements in the signal matrix to generate a signal grayscale image.

[0039] The binary image generation font module is configured to perform binaryzation processing on the signal grayscale image according to a preset signal abnormal threshold, and determine a corresponding binary sensing image.

[0040] An optional summary of the application, the image conversion sub-module comprises:

[0041] The element accumulation unit is configured to accumulate all elements in the signal matrix to obtain an accumulated element value.

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

[0043] An optional summary of the application, the image conversion sub-module further comprises:

[0044] The image conversion unit is configured to determine a grayscale value corresponding to each pixel point according to each element value in the signal matrix, the accumulated element value and the grayscale upper limit value, and obtain a signal grayscale image.

[0045] An optional summary of the application, the leakage determination module comprises:

[0046] The pixel matching sub-module is configured to perform pixel value matching on each pixel point in the binary sensing image.

[0047] The leakage determination sub-module is configured to determine that the gas storage reservoir is leaking if the target pixel value is matched in the binary sensing image.

[0048] The leakage determination sub-module is further configured to determine that the gas storage reservoir is operating normally if the target pixel value is not matched in the binary sensing image.

[0049] An optional summary of the application, the signal corresponding to the abnormal arrival time is determined based on the binary sensing image, comprising:

[0050] The signal arrival time of the leakage signal is determined based on the pixel point position corresponding to the target pixel value in the binary sensing image.

[0051] Based on the third aspect of the application, an electronic device is also provided, comprising:

[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 perform the method of any of the above summaries.

[0055] Based on the fourth aspect of the present application, there is also provided a computer readable storage medium storing a computer program for use in conjunction with an electronic device, the computer program being executable by a processor to perform the method of any of the above summary.

[0056] Based on the fifth aspect of the present application, there is also provided a computer program product comprising computer program / computer executable instructions for implementing the method of any of the above summary when executed by a processor in an electronic device.

[0057] Compared with the prior art, the present application comprises first acquiring distributed acoustic fiber detection fiber sensing data arranged in the gas storage, then image converting the 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 leakage, wherein the target pixel value is associated with an abnormal signal strength. And in the case of gas leakage 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 the warning information is generated based on the binary sensing image and the corrected leakage point position, and the warning information is output. Thus, the fiber sensing data monitored by the fiber can be converted into image recognition, and the corresponding leakage point position of the gas storage when the gas leaks can be determined through the image. Thus, the gas leakage and the accurate positioning of the leakage point can be monitored in time during the operation of the gas storage, which facilitates the 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 a summary of the technical solutions of the present application. In order to enable the technical means of the present application to be more clearly understood, and to be implemented according to the content of the specification, and in order to enable the above and other purposes, characteristics and advantages of the present application to be more apparent and easy to understand, the following specific embodiments of the present application are described. BRIEF DESCRIPTION OF DRAWINGS

[0059] Various other advantages and benefits will become apparent to those of ordinary skill in the art, upon reading the following detailed description of the preferred embodiments. The accompanying drawings are included to provide a description of the preferred embodiments and are not meant to limit the present application. Furthermore, the same reference numerals in different drawings indicate the same or similar components.

[0060] In the drawings:

[0061] Figure 1 is a step flow diagram of a leak monitoring method based on the structure parameters of the gas storage provided by the embodiments of the present application;

[0062] Figure 2is a step flow schematic diagram of another leak monitoring method based on structure parameters of a gas storage provided by an embodiment of the present application;

[0063] Figure 3 is a structure block diagram of a leak monitoring device based on structure parameters of a gas storage provided by an embodiment of the present application;

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

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

[0066] Figure 6 is a schematic diagram of a signal gray scale image provided by an embodiment of the present application;

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

[0068] Exemplary embodiments of the present application will be described in greater detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it is understood that the present application can be embodied in various forms without being limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present application will be thorough and complete, and will fully convey the scope of the application to those skilled in the art.

[0069] Compressed air energy storage power station is a new type of energy storage power station, which uses the excess power of the low load of the power system to compress and store air in the underground cave, and releases it when needed, and generates electricity through the generator set after heating, to meet the needs of peak load. The underground cave usually includes natural salt cave and artificially constructed gas storage, etc., and the natural salt cave is limited by the resource conditions of salt cave, and the gas storage scheme has a bottleneck for popularization. The key consideration in the construction process of the gas storage is the sealing property.

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

[0071] Based on the above technical problems, the embodiment of the present application is proposed. The embodiment of the present application can include first acquiring distributed acoustic fiber detection optical fiber sensing data arranged in the gas storage library, then image conversion is performed 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 library has gas leakage, wherein the target pixel value is associated with the abnormal signal strength. And in the case of gas leakage in the gas storage library, 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 library is determined, and finally the warning information is generated based on the binary sensing image and the corrected leakage point position, and the warning information is output. Thus, the optical fiber sensing data monitored by the optical fiber can be converted into image recognition, and the corresponding leakage point position of the gas storage library when the gas leakage occurs can be determined through the image. Thus, the gas leakage can be monitored and the leakage point can be accurately positioned in the running process of the gas storage library, so that the maintenance personnel can timely handle the leakage. Therefore, energy waste can be reduced, and the safety factor of the gas storage library can be improved.

[0072] Reference Figure 1 , a leak monitoring method based on the structure parameters of the gas storage library is shown, which is applied to a monitoring server. The method can include:

[0073] S101, acquiring distributed acoustic fiber detection optical fiber sensing data arranged in the gas storage library.

[0074] In the embodiment of the present application, the installation position of the distributed acoustic fiber is determined according to the structure parameters of the gas storage library. The structure parameters can include the lining thickness of the gas storage library, the radius of the gas storage library and the setting length of the gas storage library along the axial direction, etc. As shown in Figure 4 and Figure 5 , the distributed acoustic fiber can be arranged in two layers. The inner layer of the distributed acoustic fiber 4 can be arranged on the inner surface of the gas storage library lining 3, i.e. between the gas storage library lining 3 and the lining sealing layer 5. The outer layer of the distributed acoustic fiber 2 can be arranged on the outer surface of the gas storage library lining 3, i.e. between the gas storage library lining 3 and the surrounding rock 1 of the gas storage library. The inner layer of the distributed acoustic fiber 4 is uniformly distributed along the inner surface of the gas storage library lining 3 in a ring shape, and forms a comprehensive coverage on the inner surface of the gas storage library lining 3. It is mainly used for monitoring whether the lining sealing layer 5 produces cracks. The fine cracks produced by the lining sealing layer 5 can also cause the leakage of gas in the gas storage library.

[0075] The outer layer of the distributed acoustic fiber 2 is uniformly distributed along the outer surface of the gas storage lining 3 to form a ring. The distributed acoustic fiber 2 in the outer layer is used to monitor whether gas leakage occurs due to changes in the external environment pressure of the gas storage or damage to the gas storage lining 3. The arrangement density of the distributed acoustic fiber 2 in the outer layer can be less than that of the distributed acoustic fiber 4 in the inner layer, and the distributed acoustic fiber 2 in the outer layer needs to ensure that it covers the outer surface of the gas storage lining 3. In addition, the distributed acoustic fiber 2 in the outer layer and the distributed acoustic fiber 4 in the inner layer can also be arranged in a ring along the length direction of the gas storage (also referred to as the axial direction of the gas storage). The comprehensive coverage can be understood as that the fiber can form a dead angle-free monitoring on the inner surface or the outer surface of the gas storage lining 3.

[0076] Pulse laser can be injected into the distributed acoustic fiber through a pulse laser source, each pulse propagates through the distributed acoustic fiber, and Rayleigh scattering occurs at the position of a micro-unevenness in the distributed acoustic fiber (each scattering point is a sensor).

[0077] The scattered signals transmitted from the distributed acoustic fiber are received by an optical detector, and the scattered signals are converted into electrical signals by the optical detector. Thus, the signal intensity, signal arrival time, and signal sensing position of the distributed acoustic fiber are obtained through changes in the scattered signals. The optical detector can transmit the fiber sensing data to a monitoring server.

[0078] In S102, the fiber sensing data is converted into an image to determine a corresponding binary sensing image.

[0079] In the embodiment of the application, a corresponding binary sensing image can be generated according to the three types of data, i.e., the signal intensity, signal arrival time, and signal sensing position of the fiber. The binary sensing image refers to an image including only two pixel values, i.e., black and white. For example, the signal intensity in the fiber sensing data can be converted into a pixel value feature, such as an RGB value or a grayscale value, so that the signal intensity can be visualized.

[0080] In some embodiments, the signal arrival time in the fiber sensing data can be used as the horizontal coordinate value or the vertical coordinate value of a pixel point in the binary sensing image. The signal sensing position in the fiber sensing data can be used as the vertical coordinate value or the horizontal coordinate value of a pixel point in the binary sensing image. In this way, the binary sensing image can be obtained.

[0081] For example, an abnormal signal strength can be preset, so that in the case of determining pixel values corresponding to different pixel points, the abnormal signal strength is screened, when the monitored signal strength is greater than or equal to the abnormal signal strength, it is determined that the pixel value of the corresponding pixel point is the first pixel value, and when the monitored signal strength is less than the abnormal signal strength, it is determined that the pixel value of the corresponding pixel point is the second pixel value.

[0082] S103, determining whether the gas storage library leaks gas according to the binary sensing image and a preset target pixel value, wherein the target pixel value is associated with the abnormal signal strength.

[0083] In the embodiment of the application, the target pixel value refers to the pixel value corresponding to the signal strength greater than or equal to the abnormal signal strength. Thus, after determining the binary sensing image, the target pixel value in the binary sensing image can be iteratively matched to determine whether the target pixel value exists in the binary sensing image, if the target pixel value is matched, it is determined that the gas storage library leaks gas, and the step S104 is executed. If the target pixel value is not matched, it is determined that the gas storage library operates normally. The step S101 is executed.

[0084] S104, determining an abnormal arrival time corresponding to the fiber signal based on the binary sensing image in the case of gas leakage of the gas storage library.

[0085] In the embodiment of the application, in the case of gas leakage of the gas storage library, the time when the fiber abnormal signal appears for the first time can be determined from the binary sensing image in time sequence, and the time is determined as the abnormal arrival time. For example, the binary sensing image can be iterated from top to bottom and from left to right, the first pixel point appearing the target pixel value is found, the time of the corresponding pixel point is determined, and the time is the abnormal arrival time. The signal sensing position of the corresponding pixel point is taken as the abnormal signal sensing position, which can be the measurement leakage point of the gas storage library.

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

[0087] In the embodiment of the present application, in consideration of the fact that the optical fiber sensing data may exist data receiving delay and the like, 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. Thus, the corrected leakage point position of the gas storage can be determined according to the arrival time difference between the theoretical arrival time and the abnormal arrival time. For example, according to 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 corrected leakage point position can be determined according to the interval distance between the adjacent two sensors.

[0088] S106, generating early warning information based on the binary sensing image and the corrected leakage point position, and outputting the early warning information.

[0089] In the embodiment of the present application, after the monitoring server determines the leakage point position, early warning information can be generated, wherein the early warning information at least includes the leakage point position.

[0090] In some optional embodiments, the monitoring server can be in communication connection with an acousto-optic alarm device, so as to issue early warning information to the acousto-optic alarm device, so that the acousto-optic alarm device can broadcast the early warning information. Moreover, the monitoring server can also be in communication connection with a user terminal or a remote monitoring terminal, so as to issue early warning information to the user terminal and / or the remote monitoring terminal, and display the early warning information. Thus, the maintenance personnel can be reminded to repair the leakage according to the corrected leakage point position in time. Thus, energy waste can be reduced, and the safety factor of the gas storage can be improved.

[0091] Moreover, in the embodiment of the present application, 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 intuitively observe the start time and the leakage point position of the gas leakage of the gas storage from the binary sensing image. The difficulty of the user in monitoring the data of the gas storage is reduced.

[0092] Reference Figure 2 Another gas storage leakage monitoring method based on a structure parameter of a gas storage is shown, which is applied to a monitoring server, and the method can include:

[0093] S201, obtaining optical fiber sensing data detected by a distributed acoustic optical fiber arranged in a gas storage.

[0094] In the embodiment of the present application, the installation position of the distributed acoustic optical fiber is determined according to the structure parameter of the gas storage. The structure parameter can include the lining thickness of the gas storage, the radius of the gas storage, and the setting length of the gas storage in the axial direction, and the like. For referenceFigure 4 and Figure 5 As shown in the figure, the distributed acoustic fiber can be arranged in two layers. The inner layer of distributed acoustic fiber 4 can be arranged on the inner surface of the gas storage lining 3, i.e. between the gas storage lining 3 and the lining sealing layer 5. The outer layer of distributed acoustic fiber 2 can be arranged on the outer surface of the gas storage lining 3, i.e. between the gas storage lining 3 and the gas storage surrounding rock 1. The inner layer of distributed acoustic fiber 4 is uniformly distributed along the inner surface of the gas storage lining 3 in a ring shape, 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. Small cracks in the lining sealing layer 5 can also cause gas leakage in the gas storage.

[0095] The outer layer of distributed acoustic fiber 2 is uniformly distributed along the outer surface of the gas storage lining 3 in a ring shape. It is used to monitor whether gas leakage occurs due to changes in the external environment pressure of the gas storage, or damage to the gas storage lining 3. The arrangement density of the outer layer of distributed acoustic fiber 2 can be less than that of the inner layer of distributed acoustic fiber 4, and it is necessary to ensure that the outer layer of distributed acoustic fiber 2 forms a comprehensive coverage of the outer surface of the gas storage lining 3. In addition, the outer layer of distributed acoustic fiber 2 and the inner layer of distributed acoustic fiber 4 can also be arranged in a ring shape 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 fiber forming a dead angle-free monitoring of the inner surface or the outer surface of the gas storage lining 3.

[0096] Pulse laser can be injected into the distributed acoustic fiber through a pulse laser source. Each pulse propagates through the distributed acoustic fiber and produces Rayleigh scattering at the position of a tiny inhomogeneity in the distributed acoustic fiber (each scattering point is a sensor). The scattered signal transmitted from the distributed acoustic fiber is received by an optical detector, and the scattered signal is converted into an electrical signal by the optical detector. Thus, the signal intensity, signal arrival time and signal sensing position of the distributed acoustic fiber are obtained through the change of the scattered signal. The optical detector can transmit the fiber sensing data to a monitoring server. Among them, considering that when gas leakage occurs in the gas storage, a larger noise will be generated at the leakage site, or vibration caused by gas pressure. Therefore, the signal intensity can be vibration intensity or sound wave intensity.

[0097] S202, creating a signal matrix according to the fiber sensing data.

[0098] In the embodiment of the present application, the signal matrix corresponding to the optical fiber sensing data can be generated according to three data types of signal intensity, signal arrival time and signal sensing position of the optical fiber. In some embodiments, the signal arrival time in the optical fiber sensing data can be used as a row or a column of the signal matrix. The signal sensing position in the optical fiber sensing data can be used as a column or a row of the signal matrix, and the signal intensity in the optical fiber sensing data can be used as an element of the signal matrix. In this way, the signal matrix corresponding to the optical fiber sensing data can be generated. The signal matrix can be as follows:

[0099]

[0100] In the above formula (1), M(t, x) refers to the signal matrix, S mn represents the signal intensity of the mth signal arrival time and the nth signal sensing position.

[0101] S203, gray processing is performed on all elements in the signal matrix to generate a signal gray image.

[0102] In the embodiment of the present application, all elements in the signal matrix can be gray processed, so that the image can be converted into a binary sensing image in the later stage.

[0103] Considering that the gray value range is 0-255, the value of each element in the signal matrix can be converted into a gray value. In some optional embodiments of the present application, all elements in the signal matrix are accumulated to obtain an accumulated element value. For example, the accumulated element value S sum is obtained by accumulating all elements in the signal matrix. 11 12 1n mm For example, S 11 h=ceil(S 11 / S sum *255). Wherein, S 11 h is the gray value corresponding to the element S 11 , and ceil refers to rounding up. In this way, the signal gray image corresponding to the signal matrix can be obtained.

[0104] ​​​In some optional embodiments, a gray scale correlation between different signal strengths and gray scale values can be established in advance. Thus, after the signal matrix is determined, the gray scale values associated with the element values in the signal matrix can be matched according to the gray scale correlation. The rows of the signal matrix can be used as the length (horizontal coordinate) or width (vertical coordinate) of the signal gray scale image, and the columns of the signal matrix can be used as the width (vertical coordinate) or length (horizontal coordinate) of the signal gray scale image. Thus, the signal gray scale image corresponding to the signal matrix can be generated on the basis of the information about the time of arrival of signals and the positions of signal sensors, and the final signal gray scale image is as shown in FIG. 8. Figure 6

[0105] In S204, the signal gray scale image is binarized according to a preset signal anomaly threshold value, and a corresponding binary sensing image is determined.

[0106] In the embodiments of the present application, the signal anomaly threshold value can be a gray scale value corresponding to the abnormal signal strength monitored when the gas storage leaks. The signal anomaly threshold value can be determined by a person skilled in the art according to actual test results. Thus, the signal gray scale image can be screened according to the preset signal anomaly threshold value. For example, when the pixel value of a pixel point corresponding to the signal gray scale image is greater than or equal to the signal anomaly threshold value, the pixel value of the pixel point is determined to be a first pixel value; and when the pixel value of the pixel point corresponding to the signal gray scale image is less than the signal anomaly threshold value, the pixel value of the pixel point is determined to be a second pixel value. Thus, all the pixel points in the signal gray scale image are binarized, and a binary sensing image is obtained. As shown in FIG. 8, the binary sensing image refers to an image including only two pixel values, i.e., black (0) and white (255). Figure 7

[0107] In some optional embodiments, a denoising operation is performed on the binary sensing image. For example, the denoising operation can include morphological algorithms such as erosion, dilation, opening operation and closing operation, so as to remove noise and small-area interference regions from the binary sensing image, and obtain an updated binary sensing image. Thus, the updated binary sensing image enhances the connectivity between signal regions, and can improve the identification accuracy of gas leakage and the arrival time of abnormal signals.

[0108] In S205, whether the gas storage leaks is determined according to the binary sensing image and a preset target pixel value.

[0109] ​​In the embodiment of the present application, the target pixel value refers to a pixel value corresponding to a signal strength greater than or equal to the abnormal signal strength. Thus, after the binary sensing image is determined, the target pixel value can be matched in the binary sensing image to determine whether the target pixel value exists in the binary sensing image. If the target pixel value is matched, it is determined that the gas storage reservoir leaks gas, and the step S206 is performed. If the target pixel value is not matched, it is determined that the gas storage reservoir is normal. The step S201 is performed.

[0110] S206, determining an abnormal arrival time corresponding to the fiber signal based on the binary sensing image.

[0111] In the embodiment of the present application, in the case that the gas storage reservoir leaks gas, the time when the fiber abnormal signal appears for the first time can be determined from the binary sensing image in time sequence, and the time is determined as the abnormal arrival time. For example, the binary sensing image can be traversed from top to bottom and from left to right, the first pixel point where the target pixel value appears is found, the time corresponding to the pixel point is determined as the abnormal arrival time. The signal sensing position corresponding to the pixel point is taken as the abnormal signal sensing position.

[0112] S207, determining the corrected leak point position of the gas storage reservoir according to the abnormal arrival time and the theoretical arrival time.

[0113] In the embodiment of the present application, considering that the fiber sensing data can exist data receiving delay and the like, in order to further improve the positioning accuracy of the leak point, the theoretical arrival time corresponding to the fiber abnormal signal can be calculated according to a preset theoretical time rule. Thus, the arrival time difference between the theoretical arrival time and the abnormal arrival time can be used to determine the corrected leak point position of the gas storage reservoir. For example, according to the propagation speed of the laser signal in the distributed acoustic fiber and the arrival time difference, the distance between the corrected leak point and the measured leak point can be calculated, and the distance can be determined according to the interval between the adjacent two sensors to determine the corrected leak point position.

[0114] In some optional embodiments of the present application, a grid search method can also be used to determine the leak point position by minimizing the residual of the theoretical arrival time difference and the observed arrival time difference of all sensor pairs.

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

[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 vertical coordinate 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. The time residual between the theoretical arrival time difference and the abnormal arrival time difference is calculated as follows:

[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 the sensor pair k and l, which is obtained according to the difference between the abnormal arrival time of the sensor k in the sensor pair and the abnormal arrival time of the sensor l; Δt cal kl (i, j) is the theoretical arrival time difference. The root mean square residual of all N sensor pairs is calculated as follows:

[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 the sensor pair p (or the Pth sensor pair in the N sensor pairs) at the grid point (i, j), and N is the total number of sensor pairs. The root mean square residual is converted into a probability value, and the corrected leakage point position corresponding to the maximum probability value is corrected as follows:

[0122]

[0123] In the above formula (5), P ij refers to the predicted probability value of the grid point (i, j) leaking; is the maximum value of the reciprocal 1 / R of the root mean square residual of all grid points; and is the minimum value of the reciprocal 1 / R of the root mean square residual of all grid points. Thus, the grid point corresponding to the maximum predicted probability value is taken as the corrected leakage point, and the corrected leakage point position is obtained.

[0124] S208, generating early warning information based on the binary sensing image and the corrected leakage point position, and outputting the early warning information.

[0125] In the embodiment of the present application, after the monitoring server determines the corrected leakage point position, early warning information can be generated, wherein the early warning information at least includes the corrected leakage point position and the binary sensing image, so that the user can be shown the monitored leakage distribution of the gas storage through the binary sensing image, and the visualization of the leakage distribution is formed. And the specific leakage position of the gas storage can be determined through the corrected leakage point position information.

[0126] In some optional embodiments, the monitoring server can be in communication connection with a sound and light alarm device, so as to issue early warning information to the sound and light alarm device, so that the sound and light alarm device can broadcast the early warning information. And the monitoring server can also be in communication connection with a user terminal or a remote monitoring terminal, so as to issue early warning information to the user terminal and / or the remote monitoring terminal to display the early warning information. Thus, the maintenance personnel can be reminded to repair the leakage in time according to the corrected leakage point position. Therefore, energy waste can be reduced, and the safety factor of the gas storage is improved.

[0127] In addition, in the embodiment of the present application, 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 intuitively observe the start time and the leakage point position of the gas leakage of the gas storage from the binary sensing image. The difficulty of the user in monitoring the data of the gas storage is reduced.

[0128] In summary, the embodiment of the present application also discloses a leakage monitoring method based on the structure parameters of the gas storage. The method can include first acquiring the optical fiber sensing data of the distributed acoustic optical fiber detection arranged in the gas storage, then converting the optical fiber sensing data into an image 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 gas leakage, wherein the target pixel value is associated with the abnormal signal strength. And in the case that the gas storage has gas leakage, 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 the early warning information is generated based on the binary sensing image and the corrected leakage point position, and the early warning information is output. Thus, the optical fiber sensing data monitored by the optical fiber can be converted into image recognition, and the corresponding leakage point position of the gas storage when the gas leakage occurs can be determined through the image. Thus, the gas leakage and the accurate positioning of the leakage point can be monitored in time during the operation of the gas storage, and the maintenance personnel can timely handle the leakage. Therefore, energy waste can be reduced, and the safety factor of the gas storage is improved.

[0129] It should be noted that for the method embodiments, the series of acts complement each other to achieve the purpose of this application. Accordingly, the present application is not limited by the order of these acts shown in the specification unless otherwise specified in the claims. Additionally, one skilled in the art will understand that the embodiments of the present application can be practiced without accomplishing every act shown in the flowcharts.

[0130] Referring to Figure 3 , a device for monitoring gas leakage based on structure parameters of gas storage is provided, which can include:

[0131] A signal acquisition module 301 is configured to acquire optical fiber sensing data of distributed acoustic fiber detection arranged in the gas storage, wherein the optical fiber sensing data includes signal intensity, signal arrival time and signal sensing position.

[0132] An image conversion module 302 is configured to convert the optical fiber sensing data into a corresponding binary sensing image.

[0133] A leakage determination module 303 is configured to determine whether the gas storage has gas leakage based on the binary sensing image and a preset target pixel value, wherein the target pixel value is associated with abnormal signal intensity.

[0134] A monitoring time determination module 304 is configured to determine an abnormal arrival time of a signal based on the binary sensing image in the case that the gas storage has gas leakage.

[0135] A leakage point determination module 305 is configured to determine a corrected leakage point position of the gas storage based on the abnormal arrival time and a theoretical arrival time.

[0136] A warning module 306 is configured to generate warning information based on the binary sensing image and the corrected leakage point position, and output the warning information.

[0137] An optional embodiment of the present application, the image conversion module 302 includes:

[0138] A matrix creation submodule is configured 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 intensity.

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

[0140] The binary image generation character module is configured to perform binaryzation processing on the signal grayscale image according to a preset signal abnormal threshold, and determine a corresponding binary sensing image.

[0141] In an optional embodiment, the image conversion sub-module can include:

[0142] The element accumulation unit is configured to accumulate all elements in the signal matrix to obtain an accumulated element value.

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

[0144] In an optional embodiment, the image conversion sub-module can be further configured to:

[0145] Match the grayscale value associated with each element value in the signal matrix to generate a signal grayscale image.

[0146] In an optional embodiment, the leakage determination module 303 can include:

[0147] The pixel matching sub-module is configured to perform pixel value matching on each pixel point in the binary sensing image.

[0148] The leakage determination sub-module is configured to determine that the gas storage reservoir is leaking if the target pixel value is matched in the binary sensing image.

[0149] The leakage determination sub-module is further configured to determine that the gas storage reservoir is operating normally if the target pixel value is not matched in the binary sensing image.

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

[0151] Determine a signal arrival time of the leakage signal based on a pixel point position corresponding to the target pixel value in the binary sensing image.

[0152] In an optional embodiment, the device can further include a denoising module configured to:

[0153] Perform a denoising operation on the binary sensing image to obtain an updated binary sensing image.

[0154] In summary, this invention also discloses a leak monitoring device based on the structural parameters of a gas storage facility. The device may include first acquiring fiber optic sensing data from distributed acoustic fiber optic detectors deployed within the gas storage facility; then converting the fiber optic sensing data into an image to determine a corresponding binary sensing image; next, determining whether a gas leak has occurred in the gas storage facility based on the binary sensing image and a preset target pixel value, wherein the target pixel value is correlated with the intensity of an abnormal signal; and, in the event of a gas leak, determining the abnormal arrival time of the signal based on the binary sensing image. Based on the abnormal arrival time and the theoretical arrival time, determining the corrected leak point location of the gas storage facility; and finally, generating and outputting an early warning message based on the binary sensing image and the corrected leak point location. This allows for the conversion of fiber optic sensing data detected by the fiber optics into image recognition, and the determination of the leak point location in the gas storage facility when a gas leak occurs through the image. This enables timely monitoring of gas leaks and accurate location of leak points during the operation of the gas storage facility, facilitating timely leak handling by maintenance personnel. This reduces energy waste and improves the safety of the gas storage facility.

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

[0156] It will be readily apparent to those skilled in the art that any combination of the above embodiments is feasible, and therefore 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] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0158] Similarly, it should be understood that, in order to simplify the invention and aid in understanding one or more of the various inventive aspects, features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof in the above description of exemplary embodiments of the invention. However, this disclosure should not be construed as reflecting an intention that the claimed invention requires more features than expressly recited in each claim. Rather, as reflected in the claims, inventive aspects lie in fewer than all features of the single foregoing disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into that detailed description, wherein each claim itself is a separate embodiment of the invention.

[0159] Those skilled in the art will appreciate that the modules in the devices in the embodiments can be adapted and placed in one or more devices other than the embodiments. The modules or units or components in the embodiments can be combined into one module or unit or component, and further can be divided into multiple sub-modules or sub-units or sub-components. Any combination of all the features disclosed in the specification (including the accompanying claims, abstract and drawings), and any method or process or unit of any such combination can be taken, except that at least some of such features and / or processes or units are mutually exclusive. Unless explicitly stated, each feature disclosed in the specification (including the accompanying claims, abstract and drawings) can be replaced by alternative features providing the same, equivalent or similar functionality.

[0160] An electronic device comprising:

[0161] one or more processors;

[0162] a 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, the one or more programs configured to perform the methods described in the above embodiments.

[0164] A computer readable storage medium storing a computer program for use in conjunction with an electronic device, the computer program executable by a processor to perform the methods described in the above embodiments.

[0165] A computer program product including a computer program / computer executable instructions, the computer program / computer executable instructions, when executed by a processor in an electronic device, implement the methods described in any of the above embodiments.

[0166] Those skilled in the art will appreciate that embodiments of the present embodiments can be provided as methods, apparatus, or computer program products. Accordingly, the present embodiments can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present embodiments can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer usable program code.

[0167] The embodiments of the present application are described with reference to the flowchart illustrations and / or block diagrams of the methods, terminal devices (systems) and computer program products according to the embodiments of the present application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal devices to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal devices, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0168] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal devices to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0169] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal devices, such that a series of operational steps are carried out on the computer or other programmable terminal devices to produce a computer implemented process so that the instructions executed on the computer or other programmable terminal devices provide steps for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0170] Although preferred embodiments of the present application have been described, those skilled in the art will be able to make additional modifications and variations to these embodiments without departing from the scope of the present application. Accordingly, the appended claims are intended to encompass all such modifications and variations as falling within the scope of the present application.

[0171] Finally, it is to be understood that the phraseology or terminology such as "first" and "second" etc. used herein is merely intended to differentiate one entity or operation from another entity or operation, without necessarily requiring or implying any such actual relationship or order between such entities or operations. Moreover, the terms "comprising", "including", or any other variation thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element preceded by "comprises a" does not, without more constraints, foreclose additional identical elements of the process, method, article, or apparatus that comprises the recited element.

[0172] The above describes in detail a leak monitoring method based on structure parameters of a gas storage and a leak monitoring device of a compressed energy storage gas storage. The principles and implementation manners of the present application are described by using specific examples. The above description of the examples is only used to help understand the method of the present application and its core idea. Meanwhile, for those skilled in the art, the specific implementation manners and application ranges can be changed according to the idea of the present application. In summary, the content of the present description should not be understood as a limitation of the present application.

Claims

1. A leakage monitoring method based on gas storage facility structural parameters, characterized in that, The method includes: Acquire fiber optic sensing data from distributed acoustic fiber optics deployed within the gas storage facility. The fiber optic sensing data includes signal strength, signal arrival time, and signal sensing location. The installation location of the distributed acoustic fiber optics is determined based on the structural parameters of the gas storage facility. A signal matrix is ​​created based on the fiber optic sensing data, wherein the rows of the signal matrix represent the signal arrival time, the columns of the signal matrix represent the signal sensing location, and the elements of the signal matrix represent the signal strength. Perform grayscale processing on all elements of the signal matrix to generate a signal grayscale image; Based on a preset signal anomaly threshold, the signal grayscale image is binarized to determine the corresponding binary sensing image. Based on the binary sensor image and the preset target pixel value, it is determined whether the gas storage tank has experienced a gas leak, wherein the target pixel value is associated with the abnormal signal strength; In the event of a gas leak in the gas storage facility, the abnormal arrival time of the fiber optic signal is determined based on the binary sensor image. Based on the abnormal arrival time and the theoretical arrival time, the location of the corrected leak point of the gas storage facility is determined; Based on the binary sensor image and the location of the corrected leakage point, an early warning message is generated and output.

2. The leakage monitoring method based on gas storage facility structural parameters according to claim 1, characterized in that, The step of performing grayscale processing on all elements in the signal matrix to generate a signal grayscale image includes: Accumulate all elements in the signal matrix to obtain the accumulated element value; Based on the values ​​of each element in the signal matrix, the cumulative element value, and the upper limit of grayscale, the grayscale value corresponding to each pixel is determined, and a signal grayscale image is obtained.

3. The leakage monitoring method based on gas storage facility structural parameters according to claim 1, characterized in that, The step of performing grayscale processing on all elements in the signal matrix to generate a signal grayscale image includes: The grayscale values ​​associated with each element in the signal matrix are matched to generate a signal grayscale image.

4. The leakage monitoring method based on gas storage facility structural parameters according to claim 1, characterized in that, The step of determining whether a gas leak has occurred in the gas storage facility based on the binary sensor image and a preset target pixel value includes: Pixel value matching is performed on each pixel in the binary sensing image; If the target pixel value is matched in the binary sensing image, it is determined that a gas leak has occurred in the gas storage tank. If the target pixel value is not matched in the binary sensor image, it is determined that the gas storage facility is operating normally.

5. The leakage monitoring method based on gas storage facility structural parameters according to claim 4, characterized in that, Determining the abnormal arrival time of the signal based on the binary sensing image includes: Based on the pixel position corresponding to the target pixel value in the binary sensing image, the arrival time of the leakage signal is determined.

6. The leakage monitoring method based on gas storage facility structural parameters according to claim 1, characterized in that, The method further includes: A denoising operation is performed on the binary sensing image to obtain an updated binary sensing image.

7. A leakage monitoring device based on the structural parameters of a gas storage facility, characterized in that, The device includes: The signal acquisition module is used to acquire fiber optic sensing data from distributed acoustic fiber optic detectors deployed within the gas storage facility. The fiber optic sensing data includes signal strength, signal arrival time, and signal sensing location. The installation location of the distributed acoustic fiber optic is determined based on the structural parameters of the gas storage facility. Image conversion module, the image conversion module includes: The matrix creation submodule is used to create a signal matrix based on the fiber optic sensing data, wherein the rows of the signal matrix represent the signal arrival time, the columns of the signal matrix represent the signal sensing location, and the elements of the signal matrix represent the signal strength. The image conversion submodule is used to perform grayscale processing on all elements of the signal matrix to generate a signal grayscale image; The binary image generation module is used to perform binarization processing on the signal grayscale image based on a preset signal anomaly threshold to determine the corresponding binary sensing image. The leakage detection module is used to determine whether the gas storage tank has experienced a gas leak based on the binary sensor image and a preset target pixel value, wherein the target pixel value is associated with the abnormal signal strength. The monitoring time determination module is used to determine the abnormal arrival time of the signal based on the binary sensor image in the event of a gas leak in the gas storage facility. The leak point determination module is used to determine the location of the corrected leak point of the gas storage tank based on 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 location of the leak point, and output the early warning information.

8. The leakage monitoring device based on gas storage facility structural parameters according to claim 7, characterized in that, The image conversion submodule includes: An element accumulation unit is used to accumulate all elements in the signal matrix to obtain the accumulated element value; The image conversion unit is used to determine the gray value corresponding to each pixel based on the element values, cumulative element values ​​and gray level upper limit values ​​in the signal matrix, and to obtain a signal grayscale image.

9. The leakage monitoring device based on gas storage facility structural parameters according to claim 7, characterized in that, The image conversion submodule is also used for: The grayscale values ​​associated with each element in the signal matrix are matched to generate a signal grayscale image.

10. The leakage monitoring device based on gas storage facility structural parameters according to claim 7, characterized in that, The leakage detection module includes: The pixel matching submodule is used to perform pixel value matching on each pixel in the binary sensing image. The leakage determination submodule is used to determine that a gas leak has occurred in the gas storage tank if the target pixel value is matched in the binary sensing image. The leakage determination submodule is also used to determine that the gas storage tank is operating normally if the target pixel value is not matched in the binary sensing image.

11. The leakage monitoring device based on gas storage facility structural parameters according to claim 7, characterized in that, Determining the abnormal arrival time of the signal based on the binary sensing image includes: Based on the pixel position corresponding to the target pixel value in the binary sensing image, the arrival time of the leakage signal is determined.

12. 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, the one or more programs being configured to perform the method of any one of claims 1-6.

13. A computer-readable storage medium for storing a computer program used in conjunction with an electronic device, characterized in that, The computer program can be executed by a processor to perform the method described in any one of claims 1-6.

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