Compressed air energy storage large tank type ultra-large volume gas storage sealing layer defect detection device and construction method thereof

Abstract

According to the compressed air energy storage large-tank type ultra-large-volume gas storage sealing layer defect detection device and the construction method thereof, the device is applied to a secondary lining layer of a gas storage, and the apparent state of the ultra-large-volume gas storage sealing layer is captured; the device comprises a circular rock anchor beam, a main cross beam, an uplink lifting platform, a telescopic steel bracket, an upper pan-tilt camera, a downlink lifting platform, a lifting steel cable and a lower pan-tilt camera, the method comprises the following steps: S1, installing and debugging the detection device; s2, appearance shooting of the sealing layer; s3, influence data learning and analysis; s4, determining the defect position of the sealing layer; according to the method, simple mechanical structure design and optical camera shooting equipment are combined, the apparent condition of the sealing layer of the gas storage can be quickly and accurately captured, the obvious advantages of being easy to operate, safe, efficient, economical and practical are shown, and the method is an excellent scheme for solving the problem of defect detection of the sealing layer of the large-tank type ultra-large-volume gas storage.

Description

Technical Field

[0001] The present invention relates to the technical field of compressed air energy storage, and particularly to a defect detection device for the sealing layer of a large - tank - type ultra - large - volume gas storage in compressed air energy storage and its construction method. Background Art

[0002] In the field of energy storage, as an efficient and environmentally friendly energy storage method, compressed air energy storage technology has received extensive attention and application in recent years. Among them, the large - tank - type ultra - large - volume gas storage, as a key component of the compressed air energy storage system, its sealing performance is directly related to the energy efficiency and safety of the entire system. However, due to the large volume, complex structure of the gas storage, and the long - term exposure to high pressure and external environment, its sealing layer is prone to various defects, such as cracks, peeling, aging, etc. If these defects are not discovered and processed in time, it will seriously threaten the safe operation of the gas storage.

[0003] Most traditional detection methods rely on manual inspections. This method is not only time - consuming and laborious but also difficult to ensure the comprehensiveness and accuracy of detection. In addition, due to the huge volume of the gas storage and the complex internal environment, there are also significant safety hazards in manual inspections. In recent years, although some detection technologies based on drones or robots have been proposed, these methods are often limited by the structural characteristics and environmental conditions of the gas storage and are difficult to achieve efficient and accurate detection in large - tank - type ultra - large - volume gas storage.

[0004] Therefore, developing a detection device and method that can quickly and accurately capture the apparent condition of the sealing layer of the gas storage, while being simple to operate, safe, and efficient, is of great significance for ensuring the safe operation of the compressed air energy storage system. Based on this need, the present invention proposes a defect detection device and operation method for the sealing layer of a large - tank - type ultra - large - volume gas storage in compressed air energy storage, aiming to achieve efficient and accurate detection of the defects in the sealing layer of the gas storage through the combination of a streamlined mechanical structure design and optical imaging equipment. Summary of the Invention

[0005] The present invention aims to provide an efficient and accurate defect detection device and operation method for the sealing layer of a large - tank - type ultra - large - volume gas storage in compressed air energy storage. Traditional detection methods have problems such as long time consumption, low efficiency, and large safety hazards, and are difficult to meet the safety management requirements of compressed air energy storage artificial chamber gas storage. By combining a streamlined mechanical structure design and optical imaging equipment, the present invention aims to achieve comprehensive, rapid, and accurate detection of the state of the sealing layer of the gas storage, improve detection efficiency, reduce maintenance costs, and ensure the safe operation of the gas storage.

[0006] One of the technical solutions adopted by the present invention is: a defect detection device for the sealing layer of an ultra-large volume gas storage cavern in a compressed air energy storage large tank type. This device is applied to the secondary lining layer 1 of the gas storage cavern to capture the apparent state of the sealing layer of the ultra-large volume gas storage cavern. The device includes:

[0007] A circular rock anchor beam 2, which is installed on the secondary lining layer 1 of the gas storage cavern;

[0008] A main cross beam 3, which is horizontally movably installed on the circular rock anchor beam 2;

[0009] An ascending lifting platform 4, which is installed at one end of the main cross beam 3 and provides an installation platform for the equipment located on the ascending lifting platform 4;

[0010] A telescopic steel support 5, which is installed on the ascending lifting platform 4;

[0011] An upper pan-tilt camera 6, which is installed on the telescopic steel support 5;

[0012] A descending lifting platform 7, which is installed at the other end of the main cross beam 3 and provides an installation platform for the equipment located on the ascending lifting platform 4;

[0013] A lifting steel cable 8, which is installed on the descending lifting platform 7;

[0014] A lower pan-tilt camera 9, which is installed on the lifting steel cable 8.

[0015] Furthermore, a steel track is arranged at the position of the circular rock anchor beam 2. The two ends of the main cross beam 3 are installed on the circular rock anchor beam 2 by clamping steel wheels 10 in the movable steel track, realizing the 360° free rotation of the main cross beam 3.

[0016] Furthermore, the width and height of the circular rock anchor beam 2 are about 0.5 - 1.0 m. The steel bars of the circular rock anchor beam 2 are welded and connected to the steel bars of the secondary lining layer 1, and the two are cast synchronously to provide bearing capacity for the circular rock anchor beam 2.

[0017] Furthermore, the main cross beam 3 is one of the customized I-beam or channel steel members. The width of the main cross beam 3 is 30 - 50 cm, and the height is 40 - 100 cm.

[0018] Furthermore, tracks are arranged at the upper and lower ends of the main cross beam 3, so that both the ascending lifting platform 4 and the descending lifting platform 7 can freely move on the main cross beam 3.

[0019] Furthermore, the ascending lifting platform 4, the telescopic steel support 5 and the upper pan-tilt camera 6 are installed as a whole. Through the rotation of the main cross beam 3, the movement of the ascending lifting platform 4, the support of the telescopic steel support and the rotation of the camera, the shooting of the sealing layer above the circular rock anchor beam 2 is realized.

[0020] Further, the downward lifting platform 7, the lifting steel cable 8, and the lower pan-tilt camera 9 are installed as a whole. Through the rotation of the main beam, the movement of the downward lifting platform 7, the lifting of the lifting steel cable, and the rotation of the camera, the shooting of the sealing layer at the position below the circular rock anchor beam 2 is realized.

[0021] Another technical solution adopted by the present invention is: a construction method applied to the above-mentioned sealing layer defect detection device for a compressed air energy storage large tank type ultra-large volume gas storage reservoir, and the method includes:

[0022] S1. Installation and debugging of the detection device:

[0023] First, install a steel track on the circular rock anchor beam 2 and install the main beam 3 with a steel wheel 10; then install steel tracks on the upper and lower surfaces of the main beam 3 and install the upward lifting platform 4 and the downward lifting platform 7 respectively; subsequently, install a telescopic steel bracket 5 and an upper pan-tilt camera 6 on the upward lifting platform 4, install a lifting steel cable 8 and a lower pan-tilt camera 9 on the downward lifting platform 7, and finally debug the rotation of the main beam, the movement of the lifting platform, the telescopic of the steel bracket, the lifting of the steel cable, and the rotation and shooting of the camera to ensure that all components can work normally;

[0024] S2. Apparent shooting of the sealing layer:

[0025] Control the rotation of the main beam 3, the movement of the upward lifting platform 4, the telescopic of the telescopic steel bracket 5, the rotation and shooting of the lower pan-tilt camera 9 to realize the shooting of the sealing layer at the position above the rock anchor beam 1 of the gas storage reservoir; control the rotation of the main beam 3, the movement of the downward lifting platform 7, the telescopic of the lifting steel cable 8, the rotation and shooting of the lower pan-tilt camera 9 to realize the shooting of the sealing layer at the position below the circular rock anchor beam 2; during shooting, ensure that the vertical distance between the camera and the surface of the sealing layer is 1 m, the shooting range is a rectangle of 1.5 m × 1.5 m, the camera moves in a certain order, and the distance of each movement is 1 m to ensure that the sealing layer at all positions of the gas storage reservoir is photographed; S3. Influence data learning and analysis:

[0026] S3. Influence data learning and analysis:

[0027] Through artificial intelligence technology, deep learning is carried out on the influence data shot in S2, a sealing layer defect recognition algorithm is trained, and the defects of the gas storage reservoir sealing layer are quickly identified and located;

[0028] S4. Determine the position of the sealing layer defect:

[0029] Combined with the coordinate positioning technology, calibrate the image data in S2, bind each photo to the position of the sealing layer it reflects, and when any photo in S3 identifies a sealing layer defect, quickly output the position where the sealing layer is located.

[0030] The advantages and positive effects of the present invention are as follows:

[0031] (1) Improve detection efficiency: Traditional detection methods often take a long time and require a large amount of manpower and material resources. The present invention combines mechanical structure design with optical imaging equipment to achieve rapid shooting and detection of the sealing layer of the gas storage cavern, significantly improving the detection efficiency.

[0032] (2) Reduce detection costs: The automated and intelligent detection method reduces manual intervention, making the detection process smoother, thereby shortening the detection cycle and reducing the detection costs.

[0033] (3) Improve detection accuracy: The present invention uses a pan-tilt camera for shooting, which can capture minute defects on the surface of the sealing layer. Through deep learning and analysis of the image data by artificial intelligence technology, a defect recognition algorithm for the sealing layer can be formed, further improving the intelligent level and accuracy of detection.

[0034] (4) Enhance safety: Traditional detection methods may require personnel to enter the interior of the gas storage cavern for detection, posing significant safety hazards. The present invention conducts remote shooting and detection, avoiding personnel entering dangerous areas, thereby enhancing the safety of the detection process. At the same time, the detection device of the present invention has a simple and streamlined structure, is stable and reliable, reducing the safety risks caused by equipment failures. Description of the Drawings

[0035] Figure 1 It is a schematic structural diagram of a device for detecting defects in the sealing layer of a large-capacity gas storage cavern for compressed air energy storage in a large tank.

[0036] Figure 2 It is a sectional view taken along line A-A of the device for detecting defects in the sealing layer of a large-capacity gas storage cavern for compressed air energy storage in a large tank.

[0037] Figure 3 It is a schematic structural diagram of a circular rock anchor beam.

[0038] Figure 4 It is a schematic structural diagram of an upward lifting platform, a telescopic steel support, and an upper pan-tilt camera.

[0039] Figure 5 It is a schematic structural diagram of a downward lifting platform, a lifting steel cable, and a lower pan-tilt camera.

[0040] In the figure: 1, secondary lining layer; 2, circular rock anchor beam; 3, main cross beam; 4, upward lifting platform; 5, telescopic steel support; 6, upper pan-tilt camera; 7, downward lifting platform; 8, lifting steel cable; 9, lower pan-tilt camera; 10, steel wheel. Detailed Embodiments

[0041] For a better understanding of the present invention, the present invention will be further described below in conjunction with specific embodiments and the accompanying drawings.

[0042] Embodiment 1

[0043] As Figure 1 - Figure 2 shown, a defect detection device for the sealing layer of a large - tank - type ultra - large - volume gas storage in compressed air energy storage is applied to the secondary lining layer 1 of the gas storage to capture the apparent state of the sealing layer of the ultra - large - volume gas storage. The device includes:

[0044] A circular rock - anchored beam 2, which is installed on the secondary lining layer 1 of the gas storage;

[0045] As Figure 3 shown, specifically, a steel track is arranged at the position of the circular rock - anchored beam 2, and both ends of the main cross - beam 3 are installed on the circular rock - anchored beam 2 by steel wheels 10 stuck in the movable steel track, realizing the 360° free rotation of the main cross - beam 3.

[0046] The width and height of the circular rock - anchored beam 2 are about 0.5 - 1.0 m. The reinforcement bars of the circular rock - anchored beam 2 are welded to the reinforcement bars of the secondary lining layer 1, and the two are cast simultaneously to provide bearing capacity for the circular rock - anchored beam 2.

[0047] A main cross - beam 3, which is horizontally movably installed on the circular rock - anchored beam 2;

[0048] Specifically, the main cross - beam 3 is one of the custom - made I - beam or channel steel members. The width of the main cross - beam 3 is 30 - 50 cm, and the height is 40 - 100 cm.

[0049] Furthermore, tracks are arranged at both the upper and lower ends of the main cross - beam 3, so that both the ascending lifting platform 4 and the descending lifting platform 7 can freely move on the main cross - beam 3.

[0050] As Figure 4 shown, an ascending lifting platform 4, which is installed at one end of the main cross - beam 3, is used to provide an installation platform for the equipment located on the ascending lifting platform 4;

[0051] A telescopic steel support 5, which is installed on the ascending lifting platform 4;

[0052] An upper pan - tilt camera 6, which is installed on the telescopic steel support 5;

[0053] Specifically, the ascending lifting platform 4, the telescopic steel support 5 and the upper pan - tilt camera 6 are installed as a whole. Through the rotation of the rotatable main cross - beam 3, the movement of the ascending lifting platform 4, the support of the telescopic steel support and the rotation of the camera, the shooting of the sealing layer above the circular rock - anchored beam 2 is realized.

[0054] As Figure 5As shown in the figure, the down - going lifting platform 7 is installed at the other end of the main cross - beam 3 and is used to provide an installation platform for the equipment located on the up - going lifting platform 4;

[0055] The lifting steel cable 8 is installed on the down - going lifting platform 7;

[0056] The lower pan - tilt camera 9 is installed on the lifting steel cable 8.

[0057] Specifically, the down - going lifting platform 7, the lifting steel cable 8 and the lower pan - tilt camera 9 are installed as a whole. By rotating the main cross - beam, the movement of the down - going lifting platform 7, the lifting of the steel cable and the rotation of the camera, the shooting of the sealing layer at the position below the circular rock - anchored beam 2 is realized.

[0058] Its working process is as follows: By rotating the steel wheel to drive the rotation of the main cross - beam, the movement of the lifting platform and the telescopic steel support, the upper pan - tilt camera is used to shoot the state of the sealing layer above the rock - anchored beam of the gas storage reservoir; By rotating the main cross - beam, the movement of the lifting platform and the lifting of the steel cable, the lower pan - tilt camera is used to shoot the state of the sealing layer below the rock - anchored beam.

[0059] Embodiment 2

[0060] A construction method applied to the sealing layer defect detection device of the compressed air energy storage large - tank - type ultra - large - volume gas storage reservoir described in the above - mentioned Embodiment 1, the method includes:

[0061] S1. Installation and debugging of the detection device:

[0062] First, install the steel track on the circular rock - anchored beam 2 and install the main cross - beam 3 with the steel wheel 10; Then install the steel tracks on the upper and lower surfaces of the main cross - beam 3 and install the up - going lifting platform 4 and the down - going lifting platform 7 respectively; Subsequently, install the telescopic steel support 5 and the upper pan - tilt camera 6 on the up - going lifting platform 4, install the lifting steel cable 8 and the lower pan - tilt camera 9 on the down - going lifting platform 7, and finally debug the rotation of the main cross - beam, the movement of the lifting platform, the telescoping of the steel support, the lifting of the steel cable and the rotation and shooting of the camera to ensure that all components can work normally;

[0063] S2. Apparent shooting of the sealing layer:

[0064] Control the rotation of the main crossbeam 3, the movement of the lifting platform 4 when ascending, the telescoping of the telescopic steel support 5, and the rotation and shooting of the lower pan-tilt camera 9 to achieve the shooting of the sealing layer above the rock anchor beam 1 of the gas storage cavern; control the rotation of the main crossbeam 3, the movement of the lifting platform 7 when descending, the telescoping of the lifting steel cable 8, and the rotation and shooting of the lower pan-tilt camera 9 to achieve the shooting of the sealing layer below the circular rock anchor beam 2; during shooting, ensure that the vertical distance between the camera and the surface of the sealing layer is 1 m, the shooting range is a rectangle of 1.5 m × 1.5 m, the camera moves in a certain order, and the distance of each movement is 1 m to ensure that the sealing layer at all positions of the gas storage cavern is photographed; S3. Affecting data learning and analysis:

[0065] S3. Affecting data learning and analysis:

[0066] Through artificial intelligence technology, perform deep learning on the influencing data captured in S2, train to form a sealing layer defect recognition algorithm, and quickly identify and locate the defects of the gas storage cavern sealing layer;

[0067] The specific sealing layer defect recognition algorithm is as follows:

[0068] The specific algorithm is as follows:

[0069] A. Establish an RGB three-dimensional rectangular coordinate system, where the x-axis, y-axis, and z-axis represent the red value, green value, and blue value of any certain color respectively, and the range of the x-axis, y-axis, and z-axis is all (0, 255);

[0070] B. Input 100 photos of the sealing layer without defects, collect the red value, green value, and blue value information of all pixel points that make up the 100 photos, and input the numerical information into the RGB three-dimensional coordinate system;

[0071] C. Analyze and process the pixel points in the RGB three-dimensional coordinate system, take a shortest interval on the x-axis, y-axis, and z-axis respectively, so that 99.5% of the pixel points are within the coordinate interval, and the three intervals form a cubic space, and name this space the defect-free space;

[0072] D. Input the picture to be detected, and evenly split the photo into a total of 10,000 rectangular grid blocks of 100×100. The number of pixel points on the side length of each grid block is approximately one percent of the total number of pixel points on the side length of the photo;

[0073] E. Input all the pixel points of each rectangular grid into the RGB three-dimensional coordinate system. If more than 5% of the pixel points are outside the defect-free space, it is determined that there are defect points in this rectangular grid, otherwise there are no defect points. If there are no defect points in all the grids of a photo, it is considered that there are no defect points in this photo, otherwise there are defect points;

[0074] Update the data, repeat the C update of the defect-free space, and start the detection work for the next photo in the loop.

[0075] S4. Determine the position of the seal layer defect:

[0076] Combined with the coordinate positioning technology, calibrate the image data in S2, bind each photo to the position of the seal layer it reflects, and when any photo in S3 identifies a seal layer defect, quickly output the position where the seal layer is located.

[0077] The above has described the embodiments of the present invention in detail, but the content described is only the preferred embodiments of the present invention and cannot be considered as used to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope covered by this patent.

Claims

1. A device for detecting defects in the sealing layer of a compressed air energy storage tank with a large volume, characterized in that: The device is applied to the secondary lining layer (1) of a gas storage reservoir to capture the surface state of the sealing layer of a super-large volume gas storage reservoir. The device comprises: A circular rock anchor beam (2) installed on the secondary lining layer (1) of the gas storage reservoir; A main crossbeam (3) which is laterally movably mounted on the circular rock anchor beam (2); An upward lifting platform (4) is installed on one end of the main crossbeam (3) and is used to provide a mounting platform for equipment located on the upward lifting platform (4); A telescopic steel support (5) mounted on the ascending lifting platform (4); An upper pan / tilt camera (6) mounted on a telescopic steel support (5); A descending lifting platform (7) is installed on the other end of the main crossbeam (3) and is used to provide a mounting platform for equipment located on the ascending lifting platform (4); A lifting cable (8) installed on the descending lifting platform (7); The lower pan / tilt camera (9) is mounted on the lifting cable (8).

2. The device for detecting defects in the sealing layer of a compressed air energy storage tank type super-large volume gas storage according to claim 1 is characterized in that: A steel track is arranged at the position of the circular rock anchor beam (2), and the two ends of the main cross beam (3) are clamped in the movable steel track through steel wheels (10) and installed on the circular rock anchor beam (2), so that the main cross beam (3) can rotate freely 360 degrees.

3. The device for detecting defects in the sealing layer of a compressed air energy storage tank type super-large volume gas storage according to claim 1 is characterized in that: The width and height of the circular rock anchor beam (2) are approximately 0.5-1.0 m. The reinforcement of the circular rock anchor beam (2) is welded to the reinforcement of the secondary lining layer (1), and the two are cast synchronously to provide bearing capacity for the circular rock anchor beam (2).

4. The device for detecting defects in the sealing layer of a compressed air energy storage tank type super-large volume gas storage according to claim 1 is characterized in that: The main crossbeam (3) is a customized I-beam or channel steel component, and the width of the main crossbeam (3) is 30 to 50 cm and the height is 40 to 100 cm.

5. The device for detecting defects in the sealing layer of a compressed air energy storage tank type super-large volume gas storage according to claim 1 is characterized in that: Tracks are arranged at the upper and lower ends of the main cross beam (3), so that the upward lifting platform (4) and the downward lifting platform (7) can move freely on the main cross beam (3).

6. The device for detecting defects in the sealing layer of a compressed air energy storage tank type super-large volume gas storage according to claim 1 is characterized in that: The upward lifting platform (4), the telescopic steel bracket (5) and the upper pan / tilt camera (6) are installed in one piece, and the sealing layer above the circular rock anchor beam (2) can be photographed through the movement of the rotatable main crossbeam (3), the movement of the upward lifting platform (4), the support of the telescopic steel bracket (5) and the rotation of the camera.

7. The device for detecting defects in the sealing layer of a compressed air energy storage tank type super-large volume gas storage according to claim 1 is characterized in that: The descending lifting platform (7), the lifting steel cable (8) and the lower pan / tilt camera (9) are installed in one piece, and the sealing layer below the circular rock anchor beam (2) can be photographed by moving the rotatable main crossbeam, the descending lifting platform (7), and rotating the lifting steel cable and the camera.

8. A construction method for detecting defects in the sealing layer of a compressed air energy storage tank type super-large volume gas storage reservoir as described in any one of claims 1 to 7, characterized in that: The method includes: S1. Installation and debugging of detection equipment: First, a steel track is installed on the circular rock anchor beam (2), and a main crossbeam (3) with a steel wheel (10) is installed; then, steel tracks are installed on the upper and lower surfaces of the main crossbeam (3), and an upward lifting platform (4) and a downward lifting platform (7) are installed respectively; then, a telescopic steel bracket (5) and an upper pan-tilt camera (6) are installed on the upward lifting platform (4), and a lifting steel cable (8) and a lower pan-tilt camera (9) are installed on the downward lifting platform (7); finally, the rotation of the main crossbeam, the movement of the lifting platform, the extension and retraction of the steel bracket, the lifting and lowering of the steel cable, and the rotation and shooting of the camera are debugged to ensure that all components can work normally; S2. Photographing of sealing layer appearance: Control the rotation of the main beam (3), the movement of the upward lifting platform (4), the extension and retraction of the telescopic steel support (5), and the rotation and shooting of the lower pan-tilt camera (9) to achieve the shooting of the sealing layer above the rock anchor beam (1) of the gas storage reservoir; control the rotation of the main beam (3), the movement of the downward lifting platform (7), the extension and retraction of the lifting steel cable (8), and the rotation and shooting of the lower pan-tilt camera (9) to achieve the shooting of the sealing layer below the circular rock anchor beam (2); when shooting, ensure that the vertical distance between the camera and the surface of the sealing layer is 1m, and the shooting range is a rectangle of 1.5m×1.5m. The camera moves in a certain order, and the distance of each movement is 1m, so as to ensure that the sealing layers at all positions of the gas storage reservoir are shot; S3. Influence data learning and analysis: Through artificial intelligence technology, deep learning of the impact data captured in S2 is carried out to train and form a sealing layer defect recognition algorithm, and quickly identify and locate the sealing layer defects of the gas storage reservoir; S4. Determine the location of the sealing layer defect: Combined with coordinate positioning technology, the image data in S2 is calibrated, and each photo is bound to the sealing layer position it reflects. When any photo in S3 identifies a sealing layer defect, the location of the sealing layer is quickly output.

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