AI visual damage detection system for energy wind power blade

Abstract

The utility model relates to the technical field of wind power blade damage detection, in particular to an energy wind power blade AI visual damage detection system which comprises a lower support, the side surface of the lower support is fixedly connected with a control screen, an upper support is arranged above the lower support, and the inner wall of the lower support and the inner wall of the upper support are fixedly connected with assembling frames. An industrial camera is fixedly connected to the inclined face of the assembling frame and electrically connected with the control screen, and an adjusting assembly is arranged on the upper surface of the lower support. The adjusting assembly comprises a guide frame, the guide frame is fixedly connected with the upper surface of the lower support, and the inner wall of the guide frame is rotationally connected with a lead screw. According to the utility model, through the arrangement of the adjusting assembly, a user can adjust the distance between the cameras of the equipment according to the specification of the detected blade, so that the problem that captured details are not clear due to the fact that the distance between the cameras and the blade is relatively large is reduced, and the detection accuracy of the detection system is further improved.

Description

Technical Field

[0001] This utility model relates to the field of wind turbine blade damage detection technology, and in particular to an AI visual damage detection system for energy wind turbine blades. Background Technology

[0002] AI-based visual damage detection for wind turbine blades utilizes advanced artificial intelligence algorithms and visual imaging technology to detect potential damage to wind turbine blades. This method offers higher detection accuracy, helps in the early development of maintenance strategies, reduces downtime and repair costs caused by blade failures, and provides strong support for the efficient and reliable operation of wind power plants.

[0003] Existing technologies, such as the utility model with publication number CN222318881U, disclose a wind turbine blade crack detection mechanism. This patent uses a guide rail with limit grooves on both sides of the guide rail. A slider is installed inside the guide rail, and ball bearings are installed on the contact surface between the slider and the limit groove. Two sets of telescopic folding covers are symmetrically installed on both sides of the slider. This utility model solves the problem during the detection process by designing a spray marking mechanism consisting of a storage tank, a guide pipe, a metering pump, and a nozzle. If the detection process is stopped and waited for personnel to confirm when a crack is detected, the detection efficiency is low. However, if the detection continues, it is difficult to mark the crack, making subsequent determination of the crack location inconvenient for personnel and affecting the effectiveness of the device.

[0004] When using AI vision systems to inspect wind turbine blades, the existing vision inspection equipment mostly uses fixed-height supports. Since wind turbine blades come in many sizes, when using fixed-height supports to support the cameras used for inspection, some smaller blades have a large gap between the inspection camera above and the blade when passing through the inspection area. This excessive gap exceeds the camera's optimal detection distance, making it difficult for the camera to clearly capture the detailed features of the top area of ​​the blade, thus causing the inspection camera above to miss some blades. Utility Model Content

[0005] The purpose of this invention is to address the problem in the existing technology that when some smaller blades pass through the detection area, the distance between the detection camera above the blade is too large, which exceeds the camera's optimal detection distance, making it difficult for the camera to clearly capture the detailed features of the top area of ​​the blade, thus causing the detection camera above to miss detections. Therefore, this invention proposes an AI visual damage detection system for wind turbine blades.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: an AI visual damage detection system for wind turbine blades, comprising a lower support, a control screen fixedly connected to the side surface of the lower support, an upper support above the lower support, an assembly frame fixedly connected to the inner walls of both the lower and upper supports, an industrial camera fixedly connected to the inclined surface of the assembly frame, the industrial camera being electrically connected to the control screen, and an adjustment component provided on the upper surface of the lower support;

[0007] The adjustment assembly includes a guide frame, which is fixedly connected to the upper surface of the lower support. A lead screw is rotatably connected to the inner wall of the guide frame. A slider is threadedly connected to the surface of the lead screw. The slider is fixedly connected to the inner wall of the upper support. A sprocket is fixedly connected to the upper end of the lead screw. A chain is mounted on the surface of the sprocket. A knob is fixedly connected to the upper surface of the lead screw.

[0008] Preferably, a damping sleeve is fixedly connected to the inner wall of the guide frame. The damping sleeve is sleeved with the surface of the lead screw. The damping sleeve can increase the friction coefficient between the guide frame and the lead screw support, thereby improving the stability of the lead screw in the non-operational state.

[0009] Preferably, a protective cover is fixedly connected to the upper surface of the guide frame. The protective cover is sleeved with the surface of the lead screw and is fitted onto the surface of the chain. The knob is located on the upper surface of the protective cover. The protective cover can protect the meshing parts of the chain and sprocket, thereby improving the safety of the chain and sprocket during meshing.

[0010] Preferably, the upper support is slidably connected to the surface of the guide frame, and the slider is slidably connected to the inner wall of the guide frame. The guide frame can guide the movement direction of the upper support, so that the upper support can move in a specified direction and increase the stability of the upper support during movement.

[0011] Preferably, the surface of the lower support is provided with a protective component, which includes a support frame. The support frame is installed on the surface of the lower support. A guide rod is fixedly connected to the side of the support frame near the lower support. The guide rod is slidably connected to the inner wall of the lower support. A positioning magnetic block is fixedly connected to the inner wall of the lower support. The positioning magnetic block is magnetically attracted to the rear end of the guide rod. A fixing plate is fixedly connected to the side of the support frame near the lower support. A connecting rod is fixedly connected to the side of the fixing plate away from the support frame. A baffle is fixedly connected to the side of the connecting rod away from the fixing plate. The baffle can protect the lens of the industrial camera installed in the upper and lower supports when the support frame is in the closed state, reducing the chance of dust adhering to the lens when it is idle.

[0012] Preferably, a limiting magnetic block is fixedly connected to the inner wall of the lower support. The limiting magnetic block is magnetically attracted to the surface of the guide rod. The position of the guide rod in the unfolded state can be constrained by the limiting magnetic block, thereby ensuring that the guide rod can restrict the position of the support frame in the unfolded state.

[0013] Compared with the prior art, the advantages and positive effects of this utility model are as follows:

[0014] 1. In this utility model, by setting an adjustment component, the user can adjust the distance between the equipment cameras according to the specifications of the blades being detected, thereby reducing the problem of unclear details being captured due to a large distance between the camera and the blades, and further improving the detection accuracy of the detection system.

[0015] 2. In this utility model, by setting a protective component, the camera part can be blocked when the device is not in operation, so as to reduce the chance of the camera being contaminated by dust when it is not in operation, and further enhance the protective effect of the device on the camera. Attached Figure Description

[0016] Figure 1 This utility model presents a three-dimensional structural schematic diagram of an AI visual damage detection system for wind turbine blades.

[0017] Figure 2 This utility model provides a schematic diagram of the working state structure of an AI visual damage detection system for wind turbine blades.

[0018] Figure 3 This utility model proposes a schematic diagram of the adjustment component of an AI visual damage detection system for wind turbine blades.

[0019] Figure 4 This invention proposes an AI visual damage detection system for wind turbine blades. Figure 3 Schematic diagram of the structure at point A in the middle;

[0020] Figure 5 This utility model presents a schematic diagram of the protective component structure of an AI visual damage detection system for wind turbine blades.

[0021] Legend:

[0022] 1. Lower bracket; 2. Control panel; 3. Upper bracket; 4. Assembly frame; 5. Industrial camera; 6. Adjustment component; 61. Guide frame; 62. Lead screw; 63. Slider; 64. Damping sleeve; 65. Sprocket; 66. Chain; 67. Knob; 68. Protective cover; 7. Protective component; 71. Support frame; 72. Guide rod; 73. Positioning magnetic block; 74. Limiting magnetic block; 75. Fixing plate; 76. Connecting rod; 77. Baffle. Detailed Implementation

[0023] Please see Figures 1-5 This utility model provides a technical solution: an AI visual damage detection system for wind turbine blades, including a lower support 1, a control screen 2 fixedly connected to the side surface of the lower support 1, an upper support 3 above the lower support 1, an assembly frame 4 fixedly connected to the inner walls of both the lower support 1 and the upper support 3, an industrial camera 5 fixedly connected to the inclined surface of the assembly frame 4, the industrial camera 5 being electrically connected to the control screen 2, an adjustment component 6 on the upper surface of the lower support 1, and a protective component 7 on the surface of the lower support 1.

[0024] The specific settings and functions of its adjustment component 6 and protection component 7 will be explained below.

[0025] In this embodiment: the adjustment component 6 includes a guide frame 61, which is fixedly connected to the upper surface of the lower support 1. A lead screw 62 is rotatably connected to the inner wall of the guide frame 61. A slider 63 is threadedly connected to the surface of the lead screw 62. The slider 63 is fixedly connected to the inner wall of the upper support 3. A sprocket 65 is fixedly connected to the upper end of the lead screw 62. A chain 66 is mounted on the surface of the sprocket 65. A knob 67 is fixedly connected to the upper surface of the lead screw 62.

[0026] Specifically, a damping sleeve 64 is fixedly connected to the inner wall of the guide frame 61. The damping sleeve 64 is sleeved with the surface of the lead screw 62. The damping sleeve 64 can increase the friction coefficient between the guide frame 61 and the lead screw 62 support, thereby improving the stability of the lead screw 62 in the non-operational state.

[0027] Specifically, a protective cover 68 is fixedly connected to the upper surface of the guide frame 61. The protective cover 68 is sleeved with the surface of the lead screw 62. The protective cover 68 is sleeved on the surface of the chain 66. The knob 67 is located on the upper surface of the protective cover 68.

[0028] In this embodiment, the protective cover 68 can protect the meshing parts of the chain 66 and the sprocket 65, thereby improving the safety of the chain 66 and the sprocket 65 during meshing.

[0029] Specifically, the upper support 3 is slidably connected to the surface of the guide frame 61, and the slider 63 is slidably connected to the inner wall of the guide frame 61. The guide frame 61 can guide the movement direction of the upper support 3, so that the upper support 3 can move in a specified direction and increase the stability of the upper support 3 during movement.

[0030] In this embodiment: the protective component 7 includes a support frame 71, which is mounted on the surface of the lower bracket 1. A guide rod 72 is fixedly connected to the side of the support frame 71 near the lower bracket 1. The guide rod 72 is slidably connected to the inner wall of the lower bracket 1. A positioning magnetic block 73 is fixedly connected to the inner wall of the lower bracket 1. The positioning magnetic block 73 is magnetically attracted to the rear end of the guide rod 72. A fixing plate 75 is fixedly connected to the side of the support frame 71 near the lower bracket 1. A connecting rod 76 is fixedly connected to the side of the fixing plate 75 away from the support frame 71. A baffle 77 is fixedly connected to the side of the connecting rod 76 away from the fixing plate 75.

[0031] In this embodiment, the baffle 77 can protect the lens of the industrial camera 5 installed in the upper bracket 3 and lower bracket 1 when the support frame 71 is in the closed state, reducing the chance of dust adhering to the lens when it is idle.

[0032] Specifically, a limiting magnetic block 74 is fixedly connected to the inner wall of the lower bracket 1, and the limiting magnetic block 74 is magnetically attracted to the surface of the guide rod 72.

[0033] In this embodiment, the position of the guide rod 72 in the unfolded state can be constrained by the limiting magnetic block 74, thereby ensuring that the guide rod 72 can restrict the position of the support frame 71 in the unfolded state.

[0034] Working principle: When in operation, the equipment is connected to the power supply and the industrial camera 5 is controlled by the control panel 2. When the wind turbine blade passes through the camera end of the industrial camera 5, the industrial camera 5 will continuously take pictures of the wind turbine blade. The pictures will be transmitted to the control panel 2 through the cable. The control panel 2, together with the AI ​​software in the cloud platform connected to it, will examine the pictures. The software used for the examination can utilize mature visual AI systems on the market to detect damage to the wind turbine blade using visual methods.

[0035] When the blade being inspected is small and the position of the upper support 3 needs to be adjusted, the knob 67 is rotated clockwise. The knob 67 rotates the lead screw 62, which in turn drives the chain 66 in conjunction with the sprocket 65. As the chain 66 rotates, it meshes with the sprocket 65 at the other end, thereby driving the lead screw 62 on the other side to rotate. When the lead screws 62 on both sides rotate synchronously, the lead screw 62 meshes with the slider 63 through the thread, and under the guidance of the guide frame 61, pushes the upper support 3 downward in the specified direction, thereby changing the distance between the upper support 3 and the lower support 1, so as to adjust the position of the upper industrial camera 5. By setting the adjustment component 6, the user can adjust the distance between the equipment cameras according to the specifications of the blade being inspected, thereby reducing the problem of unclear details due to a large distance between the camera and the blade, and further improving the detection accuracy of the detection system.

[0036] Before testing, pull the support frame 71 away from the upper bracket 3. Guided by the guide rod 72 and the lower bracket 1, the support frame 71 pulls the fixing plate 75 in the specified direction. The fixing plate 75, in conjunction with the connecting rod 76, pulls the baffle 77. As the baffle 77 moves, it moves away from the lens of the industrial camera 5 and no longer obstructs the industrial camera 5. When the support frame 71 moves to the maximum distance, the guide rod 72, in conjunction with the limiting magnetic block 74, locks the position of the support frame 71. After testing is completed and the equipment is not used for a long time, adjust the distance between the lower bracket 1 and the upper bracket 3 back to its original position, and then the lower bracket... The support frame 71 is pushed in the direction of 1. The support frame 71, together with the guide rod 72, pushes the fixed plate 75. The fixed plate 75, together with the connecting rod 76, pushes the baffle 77. The baffle 77 moves in the specified direction. After the support frame 71 moves and resets, the guide rod 72, together with the positioning magnet 73, locks the support frame 71. At the same time, the position of the baffle 77 is restricted to above the lens of the industrial camera 5. By setting the protective component 7, the camera part can be blocked when the equipment is not working, so as to reduce the chance of dust contamination of the camera when it is not working, and further enhance the protective effect of the equipment on the camera.

Claims

1. An AI visual damage detection system for wind turbine blades, comprising a lower support (1), characterized in that: A control panel (2) is fixedly connected to the side surface of the lower support (1), an upper support (3) is provided above the lower support (1), an assembly frame (4) is fixedly connected to the inner wall of both the lower support (1) and the upper support (3), an industrial camera (5) is fixedly connected to the inclined surface of the assembly frame (4), the industrial camera (5) is electrically connected to the control panel (2), and an adjustment component (6) is provided on the upper surface of the lower support (1). The adjustment assembly (6) includes a guide frame (61), which is fixedly connected to the upper surface of the lower support (1). A lead screw (62) is rotatably connected to the inner wall of the guide frame (61). A slider (63) is threadedly connected to the surface of the lead screw (62). The slider (63) is fixedly connected to the inner wall of the upper support (3). A sprocket (65) is fixedly connected to the upper end of the lead screw (62). A chain (66) is mounted on the surface of the sprocket (65). A knob (67) is fixedly connected to the upper surface of the lead screw (62).

2. The AI ​​visual damage detection system for wind turbine blades according to claim 1, characterized in that: A damping sleeve (64) is fixedly connected to the inner wall of the guide frame (61), and the damping sleeve (64) is sleeved with the surface of the lead screw (62).

3. The AI ​​visual damage detection system for wind turbine blades according to claim 1, characterized in that: A protective cover (68) is fixedly connected to the upper surface of the guide frame (61). The protective cover (68) is sleeved with the surface of the lead screw (62). The protective cover (68) is sleeved on the surface of the chain (66). The knob (67) is located on the upper surface of the protective cover (68).

4. The AI ​​visual damage detection system for wind turbine blades according to claim 1, characterized in that: The upper support (3) is slidably connected to the surface of the guide frame (61), and the slider (63) is slidably connected to the inner wall of the guide frame (61).

5. The AI ​​visual damage detection system for wind turbine blades according to claim 1, characterized in that: The surface of the lower support (1) is provided with a protective component (7), the protective component (7) includes a support frame (71), the support frame (71) is installed on the surface of the lower support (1), a guide rod (72) is fixedly connected to the side of the support frame (71) near the lower support (1), the guide rod (72) is slidably connected to the inner wall of the lower support (1), a positioning magnetic block (73) is fixedly connected to the inner wall of the lower support (1), the positioning magnetic block (73) is magnetically attracted to the rear end of the guide rod (72), a fixing plate (75) is fixedly connected to the side of the support frame (71) near the lower support (1), a connecting rod (76) is fixedly connected to the side of the fixing plate (75) away from the support frame (71), and a baffle (77) is fixedly connected to the side of the connecting rod (76) away from the fixing plate (75).

6. The AI ​​visual damage detection system for wind turbine blades according to claim 5, characterized in that: The inner wall of the lower support (1) is fixedly connected to a limiting magnetic block (74), and the limiting magnetic block (74) is magnetically attracted to the surface of the guide rod (72).

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