Bolt detection device, method and bolt detection platform

Abstract

The present application provides a bolt detection device, method and bolt detection platform, which relates to the field of bolt detection technology. The device includes: a clamping component, a first tray, a first sensor, a camera device and a first controller, wherein the first tray is used to place the bolt to be detected; the first sensor is used to collect the first position data of the bolt to be detected; when the first controller determines that the bolt to be detected has reached the first preset position based on the first position data, the limit components at both ends are controlled to move to clamp the bolt to be detected, and the bolt to be detected is controlled to roll and rotate for at least one circle; the first controller is also used to control the camera device to shoot the bolt to be detected to obtain a target image set and send it to the target terminal, so that the target terminal can judge whether the bolt to be detected has cracks based on the target image set. The implementation of the technical solution provided by the present application solves the technical problem of low efficiency of bolt detection in the related art.

Description

Technical Field

[0001] The present application relates to the technical field of bolt detection, and in particular to a bolt detection device, method and bolt detection platform. Background Art

[0002] At present, the inspection of bolts requires the naked eye inspection of the relevant staff. Specifically, the bolts need to be manually magnetized, and then the magnetized bolts are illuminated with a black light. Then, the cracks on the bolts are judged by the naked eye and recorded manually. This process requires the inspector to have actual contact with the bolts, which limits the inspector's work location, and manual inspection has the problem of low inspection efficiency.

[0003] With regard to the technical problem of low efficiency of bolt detection existing in the related art, no effective solution has been proposed so far. Summary of the invention

[0004] The present application provides a bolt detection device, method and bolt detection platform to at least solve the technical problem of low efficiency of bolt detection existing in the related art.

[0005] In the first aspect, the present application provides a bolt detection device, comprising: a clamping component, a first tray, a first sensor, a camera device, and a first controller, wherein the first tray is fixed under the clamping component, and the first tray is used to place the bolt to be detected; the first sensor is arranged in the clamping component, and the first sensor is used to collect first position data of the bolt to be detected; the first controller is connected to the clamping component, the first sensor and the camera device, and when the first controller determines that the bolt to be detected has reached a first preset position based on the first position data, the first controller is used to control the movement of the limiting components at both ends of the clamping component to clamp the bolt to be detected, and control the bolt to be detected to roll and rotate for at least one circle; during the rolling and rotation of the bolt to be detected, the first controller is also used to control the camera device to shoot the bolt to be detected to obtain a target image set, and send the target image set to a target terminal, so that the target terminal can determine whether there is a crack in the bolt to be detected based on the target image set, wherein the target image set includes a preset number of images.

[0006] By adopting the above technical scheme, through the cooperation of the clamping component and the first sensor, the bolt to be detected can be automatically clamped, and the first position data of the bolt to be detected can be collected to ensure that the bolt to be detected is accurately placed in the detection device; the first controller can control the movement of the limiting components at both ends of the clamping component based on the first position data to clamp the bolt to be detected, and then control the limiting components at both ends and the bolt to be detected to roll and rotate for at least one circle, which is helpful for comprehensive detection of the bolt; during the rotation of the bolt, the camera device is controlled to shoot and obtain a target image set, which provides necessary image data for subsequent crack detection; the camera device sends the target image set to the target terminal, so that the target terminal can determine whether there is a crack in the bolt based on the target image set, thereby realizing remote transmission and analysis of data; the entire detection process is automated, manual operations are reduced, and detection efficiency is improved. Through this technical solution, the accuracy of crack detection is improved through automated image acquisition and analysis. By controlling the camera device to obtain a preset number of images, it can be ensured that the inspection of bolts is comprehensive and systematic, which helps to improve the coverage and reliability of inspection. This bolt inspection device improves the efficiency, accuracy and reliability of bolt crack detection through automated clamping, rotation, image acquisition and data analysis.

[0007] Optionally, the bolt detection device also includes: a slide rail, wherein the clamping component is located on the slide rail, and the slide rail is configured to allow movement in a horizontal plane to adjust the position of the bolt to be detected; and the camera device is configured to allow movement in a vertical plane to facilitate focused imaging of the bolt to be detected.

[0008] By adopting the above technical solution, by setting a clamping component on the slide rail, the clamping component is allowed to move in the horizontal plane, so that the position of the bolt to be detected can be adjusted. This design enables the device to adapt to bolts of different sizes and shapes, improving the flexibility and applicability of detection; the camera device is set to allow movement in the vertical plane, which allows the camera device to be adjusted according to the actual position of the bolt, so as to facilitate accurate focusing and imaging of the bolt. This vertical movement capability helps to capture clearer and more accurate bolt images, thereby improving the accuracy of crack detection.

[0009] Optionally, after controlling the camera device to photograph the bolt to be inspected and acquiring a target image set, the first controller is further used to control the bolt to be inspected to stop rotating, and control the clamping component to loosen the bolt to be inspected so that the bolt to be inspected falls into the first tray.

[0010] By adopting the above technical solution, after the camera device completes shooting of the bolt and obtains the target image set, the first controller automatically controls the bolt to stop rotating and loosen, thereby realizing the automation of the detection process and reducing manual intervention; the bolt automatically falls into the first tray after the detection is completed, ensuring the correct placement and collection of the bolt, which is convenient for subsequent storage or further processing; since the entire detection process including the actions of stopping and loosening the bolt is automatically controlled by the controller, the consistency and repeatability of each detection can be guaranteed.

[0011] In a second aspect of the present application, a bolt detection method is also provided, which is applied to any of the above-mentioned bolt detection devices, including: obtaining first position data of the bolt to be detected collected by the first sensor; when it is determined based on the first position data that the bolt to be detected has reached the first preset position, controlling the limit components at both ends of the clamping component to move to clamp the bolt to be detected; controlling the bolt to be detected to roll and rotate for at least one circle, and during the rolling and rotation of the bolt to be detected, controlling the camera device to shoot the bolt to be detected and obtain a target image set, wherein the target image set includes a preset number of images; sending the target image set to the target terminal, so that the target terminal can determine whether there is a crack in the bolt to be detected based on the target image set.

[0012] By adopting the above technical solution, the first position data of the bolt is obtained in an automated manner, and the clamping, rotation and image acquisition are controlled, thereby realizing full automation of bolt detection and reducing the need for manual operation; the position data collected by the first sensor is used to ensure that the bolt is accurately positioned and clamped, providing a stable basis for subsequent rotation and image acquisition; the bolt is controlled to roll and rotate for at least one circle to ensure that every part of the bolt can be detected, thereby improving the comprehensiveness and accuracy of the detection; image acquisition is performed synchronously during the rotation of the bolt to obtain a preset number of images, which helps to capture the details of the bolt from different angles and provide rich visual information for crack detection; the collected image set is sent to the target terminal, so that image analysis can be performed remotely, thereby improving the flexibility and efficiency of detection; through automated image acquisition and remote analysis, the accuracy of crack detection is improved, which helps to timely discover potential defects of the bolt.

[0013] Optionally, controlling the bolt to be inspected to roll and rotate for at least one circle includes: controlling the bolt to be inspected to rotate along a predetermined axis at a preset rotation speed for a first preset time period, and the bolt to be inspected rotates at least one circle within the first preset time period, wherein the predetermined axis is used to represent the central axis of the limiting components at both ends of the clamping component.

[0014] By adopting the above technical scheme, by controlling the bolt to be inspected to rotate according to a preset rotation speed and a first preset duration, it is ensured that the bolt completes at least one rotation within the specified time, which helps to ensure the uniformity and consistency of image acquisition; by ensuring that the bolt rotates at least one circle, the camera device can shoot the bolt from different angles, thereby achieving a comprehensive inspection of the bolt surface and improving the coverage of crack detection; by controlling the rotation speed and duration, the shooting timing and exposure time of the camera device can be better controlled, thereby obtaining higher quality images and providing clearer image data for crack detection; by precisely controlling the rotation speed and duration, the inspection time of a single bolt can be shortened and the overall inspection efficiency can be improved, especially when a large number of bolts need to be inspected, this efficiency improvement is particularly obvious; by controlling the rotation speed, unnecessary wear on the bolt and the inspection device caused by excessive rotation can be reduced, thereby extending the service life of the equipment. Automated rotation control reduces the operator's direct contact with rotating bolts, reduces operational risks, and improves operational safety. By precisely controlling the rotation speed and duration of the bolts, comprehensive, efficient, and standardized inspection of the bolts is achieved, improving the accuracy and reliability of crack detection, while optimizing image acquisition quality, improving inspection efficiency and operational safety.

[0015] Optionally, during the rolling and rotation of the bolt to be detected, the camera device is controlled to shoot the bolt to be detected and obtain a target image set, including: during the rolling and rotation of the bolt to be detected, the camera device is controlled to shoot the bolt to be detected N times within a first preset time period at a preset frequency, and the target image set includes N images, where N is a positive integer greater than or equal to 2.

[0016] By adopting the above technical solution, the uniformity and regularity of image acquisition are ensured by controlling the camera device to take N shots at a preset frequency within the first preset time length of rotation of the bolt to be detected. The N shots can ensure that the camera device acquires images at different stages of the bolt rotation, thereby fully covering the surface of the bolt to be detected and improving the comprehensiveness of crack detection. By controlling the camera device to take regular shots during the rotation of the bolt, the quality and consistency of each image can be guaranteed, providing high-quality image data for subsequent crack analysis. By acquiring multiple images, the bolt can be observed from different angles and at different time points, which helps to more accurately identify and analyze cracks on the bolt surface.

[0017] Optionally, after controlling the camera device to photograph the bolts to be inspected and acquiring the target image set, the method further includes: storing the target image set in a sub-database in the target database corresponding to the numbers of the bolts to be inspected.

[0018] By adopting the above technical solution, the target image set is stored in the sub-database corresponding to the number of the bolt to be detected, which realizes the orderly management of data and facilitates the traceability and query of the inspection results of the bolt; the image set is stored in association with the bolt number, making it faster and more convenient to retrieve the inspection data of a specific bolt.

[0019] In a third aspect of the present application, a bolt detection platform is also provided, comprising any of the above-mentioned bolt detection devices, and further comprising: a conveyor belt, a second sensor, a first robotic arm, a magnetizing device, a second robotic arm, a second controller, and a target terminal, wherein the conveyor belt is used to transport a group of bolts to be tested; the second controller is connected to the second sensor, the first robotic arm, the magnetizing device, and the second robotic arm, the second sensor is used to collect second position data of a second pallet, and a group of bolts to be tested are placed in the second pallet; the second controller is used to control the first robotic arm to move the second pallet to the target terminal when determining that the second pallet has reached the second preset position based on the second position data. The second controller is used to control the second robot arm to carry the bolts to be detected to the first tray of the bolt detection device after the second preset magnetization time, wherein the bolts to be detected are located in the target area in the preset area before being carried, and the bolts to be detected are any one of the group of bolts to be detected; after the detection of the bolts to be detected is completed, the second controller is also used to control the second robot arm to carry the bolts to be detected to the target area in the magnetization device, wherein the completion of the detection of the bolts to be detected is used to indicate that the camera device completes the operation of sending the target image set to the target terminal.

[0020] By adopting the above technical scheme, through integrating automated equipment such as conveyor belts, sensors, robotic arms and magnetizing devices, a fully automated process for bolt detection is realized, from transportation, magnetization to detection and handling, which greatly reduces human intervention; the automated conveyor belt and robotic arm can quickly transport the bolts, reducing the handling time and improving the detection efficiency; the circumferential magnetization operation of the bolts by the magnetizing device enhances the sensitivity of crack detection and helps to improve the accuracy of crack detection; the connection between the second controller and the sensor, robotic arm and magnetizing device realizes precise control of each link and ensures the smoothness and accuracy of the detection process; the first controller controls the camera device to send the target image set to the target terminal, realizing data collection and remote analysis, which is convenient for further quality control and decision support; the platform can adjust the speed of the conveyor belt, the movement of the robotic arm and the parameters of the magnetizing device as needed, and has good flexibility and scalability.

[0021] Optionally, after magnetization for a second preset time, the second controller is also used to control the second robotic arm to move each bolt in a group of bolts to the first tray of the bolt detection device in sequence according to a preset order, and the first controller controls the bolt detection device to detect each bolt to be tested in sequence, and after the detection of each bolt is completed, the second controller controls the second robotic arm to move each bolt to be tested back to the corresponding position in the preset area.

[0022] By adopting the above technical solution, by controlling the second robotic arm to carry each bolt to the detection device in sequence according to a preset order, the sequential detection of bolts is realized, ensuring the orderliness and controllability of the detection process; the automated handling and detection process reduces the waiting time between bolt handling and detection, and improves the overall detection efficiency.

[0023] Optionally, the target terminal compares the target image set with a preset crack database to determine whether there is a crack in the bolt to be inspected, wherein the preset crack database includes multiple bolt crack features.

[0024] By adopting the above technical solution, the various crack features contained in the preset crack database help the target terminal to more accurately identify and distinguish different types of cracks, thereby improving the accuracy of crack detection; by comparing the target image set with the preset crack database through the target terminal, the automatic identification of bolt cracks is realized, thereby improving the efficiency and accuracy of crack detection; the automated crack identification process reduces the impact of human factors on the detection results, thereby reducing the risk of misjudgment and missed judgment.

[0025] In a fourth aspect of the present application, an electronic device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the program, any of the above method steps is implemented.

[0026] In a fifth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any of the above method steps is performed.

[0027] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0028] 1. Through automated clamping, rotation, image acquisition and data analysis, the efficiency, accuracy and reliability of bolt crack detection are improved. The automation of the entire detection process not only reduces the need for manual operation, reduces labor intensity, but also improves the flexibility and convenience of detection.

[0029] 2. Since both the clamping component and the camera device are mobile, the device can adapt to the detection requirements of different positions and angles, so that the device can adapt to the detection of bolts of different sizes and shapes, and make the detection process more flexible and diversified.

[0030] 3. Improve the efficiency, accuracy and reliability of bolt crack detection through automated crack identification and data-driven decision making. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 A bolt detection device provided in an embodiment of the present application is shown in FIG. Figure 1 ;

[0032] Figure 2 A bolt detection device provided in an embodiment of the present application is shown in FIG. Figure 2 ;

[0033] Figure 3 is a flow chart of a bolt detection method provided in an embodiment of the present application;

[0034] Figure 4 It is a framework diagram of a bolt detection platform provided in an embodiment of the present application;

[0035] Figure 5 It is a schematic diagram of a magnetizing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0036] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0037] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0038] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0039] The present application provides a bolt detection device, comprising: a clamping component, a first tray, a first sensor, a camera device, and a first controller, wherein the first tray is fixed below the clamping component, and the first tray is used to place the bolt to be detected; the first sensor is arranged in the clamping component, and the first sensor is used to collect first position data of the bolt to be detected; the first controller is connected to the clamping component, the first sensor and the camera device, and when the first controller determines that the bolt to be detected has reached a first preset position based on the first position data, the first controller is used to control the movement of the limiting components at both ends of the clamping component to clamp the bolt to be detected, and to control the bolt to be detected to roll and rotate for at least one circle; during the rolling and rotation of the bolt to be detected, the first controller is also used to control the camera device to shoot the bolt to be detected and obtain a target image set, wherein the target image set includes a preset number of images, and the first controller is also used to send the target image set to a target terminal, so that the target terminal can determine whether there is a crack in the bolt to be detected based on the target image set.

[0040] In the above embodiment, through the cooperation of the clamping component and the first sensor, the bolt to be detected can be automatically clamped, and the first position data of the bolt can be collected to ensure that the bolt is accurately placed in the detection device. The first sensor is arranged in the clamping component, such as Figure 1 As shown; the first controller can control the movement of the limiting components at both ends of the clamping component based on the first position data to clamp the bolt to be detected, that is, the limiting components at both ends are used to respectively support the two ends of the bolt to be detected. For example, the limiting components at both ends can be cylindrical components, and then the limiting components at both ends and the bolt to be detected are controlled to roll and rotate for at least one circle. Generally, they cannot rotate too fast. For example, assuming that it rotates for 6S per circle, it can be controlled to rotate for 6S (or 6.5S, or 7S, or others), which is helpful for comprehensive detection of the bolt; as shown Figure 1 As shown, the first tray can be arranged just below the middle of the clamping member ( Figure 1The first tray is not shown in the figure), which is used to place the bolt to be detected, and the first sensor can be set in the clamping component. When it is determined that the bolt to be detected reaches a first preset position, for example, the position of the center of the first tray, or a position with a preset distance from the position of the center of the first tray, during the rotation of the bolt, the camera device is controlled to shoot and obtain a target image set, which provides necessary image data for subsequent crack detection. The target image set includes multiple images, such as 8 (or 10, or other); the camera device sends the target image set to the target terminal, so that the target terminal can judge whether there is a crack in the bolt based on the target image set, thereby realizing remote transmission and analysis of data; Figure 1 The first controller can be arranged on the outer wall of the entire bolt detection device. Figure 1 Only the position of the first controller is shown in the figure. Of course, it can also be set inside the entire detection device. The entire detection process is automated, reducing manual operations and improving detection efficiency. Through the technical solution, the accuracy of crack detection is improved through automated image acquisition and analysis. By controlling the camera device to obtain a preset number of images, it can be ensured that the detection of the bolt is comprehensive and systematic, which helps to improve the coverage and reliability of the detection. This bolt detection device improves the efficiency, accuracy and reliability of bolt crack detection through automated clamping, rotation, image acquisition and data analysis. Through the coordinated work of the clamping component and the first sensor, the bolt detection device can automatically locate and clamp the bolt to be detected to ensure that it is in the correct detection position. Subsequently, the first controller accurately controls the rotation of the bolt so that it rotates evenly for more than one circle, providing conditions for comprehensive detection. In this process, the camera device synchronously captures images of the bolt surface and generates a target image set, which is then transmitted to the target terminal for in-depth analysis to identify whether the bolt has defects such as cracks. The automation of the entire detection process not only reduces the need for manual operation and labor intensity, but also improves the speed and consistency of detection. By precisely controlling the rotation of the bolt and collecting images, the device can provide high-quality image data, providing a solid foundation for crack detection. In addition, the image analysis work is handed over to the target terminal, so that the detection work can be carried out remotely, which improves the flexibility and convenience of detection.

[0041] In an optional embodiment, the bolt detection device also includes: a slide rail, wherein the clamping component is located on the slide rail, and the slide rail is configured to allow movement in a horizontal plane to adjust the position of the bolt to be detected; the camera device is configured to allow movement in a vertical plane to facilitate focused imaging of the bolt to be detected.

[0042] In the above embodiment, by arranging a clamping component on the slide rail, the clamping component is allowed to move in a horizontal plane, so that the position of the bolt to be detected can be adjusted. Figure 2As shown in the figure, the slide rail can be adjusted in the xoy plane. This design enables the device to adapt to bolts of different sizes and shapes, improving the flexibility and applicability of detection. The camera device is set to allow movement in the vertical plane, which allows the camera device to be adjusted according to the actual position of the bolt, so as to facilitate accurate focusing imaging of the bolt, such as Figure 2 As shown, there is a camera device holding component above the bolt detection device, which is used to hold the aforementioned camera device, and the camera device vertical position adjustment motor at the top is used to adjust the camera device to move in a vertical plane; Figure 2 In the process, the bolt to be inspected is clamped by the limiting components at both ends of the clamping components (or called pneumatic clamping devices at both ends), and the bolt rolling motor is used to control the rotation of the limiting components at both ends and the bolt to be inspected. For example, the horizontal plane is the xoy plane, and the vertical plane is the yoz plane. The precise positioning of the bolt to be inspected in the xoy plane can be achieved through the slide rail, and the camera device can move in the yoz plane to adjust the focal length of the lens. This vertical movement capability helps to capture clearer and more accurate bolt images, thereby improving the accuracy of crack detection. Since both the clamping components and the camera device have the ability to move, the device can adapt to the detection needs of different positions and angles, making the detection process more flexible and diversified. The position adjustment and focus imaging capabilities further enhance the degree of automation of the entire detection process, which not only improves the detection efficiency, but also reduces human errors and ensures the consistency and reliability of the detection results.

[0043] In an optional embodiment, after controlling the camera device to photograph the bolt to be inspected to obtain a target image set, the first controller is also used to control the bolt to be inspected to stop rotating, and control the clamping component to loosen the bolt to be inspected so that the bolt to be inspected falls into the first tray.

[0044] In the above embodiment, after the camera device completes shooting of the bolt and obtains the target image set, the first controller automatically controls the bolt to stop rotating and loosen. Specifically, after the clamping component clamps the bolt to be detected, the first controller controls the motor to automatically start to control the limit components at both ends of the clamping component to roll and rotate. After the target image set is obtained, that is, after the detection is completed, the motor is controlled to stop rotating, and the limit components at both ends are controlled to loosen the bolt to be detected, thereby realizing the automation of the detection process and reducing manual intervention; by automatically controlling the bolt to stop rotating and loosening, the safety risks that may be caused by manual operation are avoided; the automated stopping and loosening actions reduce the waiting time during the detection process, speed up the detection speed, and improve the overall detection efficiency; the bolt automatically falls into the first tray after the detection is completed, ensuring the correct placement and collection of the bolt, which is convenient for subsequent storage or further processing; since the entire detection process including the actions of stopping and loosening the bolt is automatically controlled by the controller, the consistency and repeatability of each detection can be guaranteed. The automated detection process of this embodiment simplifies the operation steps, improves the user experience, and makes the operation more intuitive and convenient.

[0045] The present application also provides a bolt detection method, which is applied to any of the above-mentioned bolt detection devices, such as Figure 3 As shown, Figure 3 : is a flow chart of a bolt detection method provided in an embodiment of the present application, comprising:

[0046] Step S301, obtaining first position data of a bolt to be detected collected by a first sensor;

[0047] Step S302, when it is determined based on the first position data that the bolt to be detected has reached the first preset position, controlling the limit components at both ends of the clamping component to move to clamp the bolt to be detected;

[0048] Step S303, controlling the bolt to be inspected to roll and rotate for at least one circle, and during the rolling and rotating process of the bolt to be inspected, controlling the camera device to photograph the bolt to be inspected to obtain a target image set, wherein the target image set includes a preset number of images;

[0049] Step S304: sending the target image set to the target terminal so that the target terminal can determine whether the bolt to be inspected has cracks based on the target image set.

[0050] Through the above steps, the first position data of the bolt is obtained in an automated manner, and the clamping, rotation and image acquisition are controlled, so that the full automation of bolt detection is realized, and the need for manual operation is reduced; the position data collected by the first sensor is used to ensure that the bolt to be detected is accurately positioned and clamped, which provides a stable basis for subsequent rotation and image acquisition. For example, the limiting components at both ends can be cylindrical components, and the limiting components at both ends are used to respectively support the two ends of the bolt to be detected; the bolt is controlled to roll and rotate for at least one circle. For example, assuming that it rotates for one circle in 6S, it can be controlled to rotate for 6S (or 6.5S, or 7S, or other), ensuring that every part of the bolt can be detected, thereby improving the comprehensiveness and accuracy of the detection; image acquisition is performed synchronously during the rotation of the bolt to obtain a preset number of images, which helps to capture the details of the bolt from different angles and provide rich visual information for crack detection. For example, the target image set includes multiple images, such as 8 (or 10, or other); the collected image set is sent to the target terminal, so that image analysis can be performed remotely, which improves the flexibility and efficiency of detection; through automated image acquisition and remote analysis, the accuracy of crack detection is improved, which helps to timely discover potential defects of the bolt. This bolt detection method realizes the automation, efficiency and precision of bolt crack detection through automated control, precise positioning, comprehensive rotation detection, efficient image acquisition and remote image analysis. The automated detection process reduces the detection time, improves the detection efficiency, makes large-scale bolt detection possible, and is conducive to improving the quality and efficiency of bolt detection.

[0051] In an optional embodiment, the bolt to be inspected is controlled to roll and rotate for at least one circle, including: controlling the bolt to be inspected to rotate along a predetermined axis at a preset rotation speed for a first preset time length, and the bolt to be inspected rotates at least one circle within the first preset time length, wherein the predetermined axis is used to represent the central axis of the limiting components at both ends of the clamping component.

[0052] In the above embodiment, by controlling the bolt to be detected to rotate according to a preset rotation speed and a first preset time, it is ensured that the bolt to be detected completes at least one rotation within the specified time, which helps to ensure the uniformity and consistency of image acquisition; in practical applications, after determining that the bolt to be detected is in an absolute stop state for 1 second, the limit components at both ends of the clamping component and the bolt to be detected are controlled to rotate at a uniform speed to ensure that the bolt to be detected rotates at least one rotation, so that the camera device can shoot the bolt from different angles, thereby achieving a comprehensive detection of the surface of the bolt to be detected and improving the coverage of crack detection; by presetting the rotation speed and time, The rotation process of the bolts to be inspected is standardized, which reduces the impact of human factors on the inspection results and improves the repeatability and consistency of the inspection. By controlling the rotation speed and duration, the shooting timing and exposure time of the camera device can be better controlled to obtain higher quality images and provide clearer image data for crack detection. By accurately controlling the rotation speed and duration, the inspection time of a single bolt can be shortened and the overall inspection efficiency can be improved, especially when a large number of bolts need to be inspected. This efficiency improvement is particularly obvious. By controlling the rotation speed, unnecessary wear on the bolts and inspection devices caused by excessive rotation can be reduced, extending the service life of the equipment. Automated rotation control reduces the operator's direct contact with the rotating bolts, reduces operational risks, and improves operational safety. By accurately controlling the rotation speed and duration of the bolts, comprehensive, efficient, and standardized inspection of the bolts is achieved, the accuracy and reliability of crack detection are improved, and the image acquisition quality is optimized, improving inspection efficiency and operational safety.

[0053] In an optional embodiment, during the rolling and rotation of the bolt to be detected, the camera device is controlled to shoot the bolt to be detected and obtain a target image set, including: during the rolling and rotation of the bolt to be detected, the camera device is controlled to shoot the bolt to be detected N times within a first preset time period at a preset frequency, and the target image set includes N images, where N is a positive integer greater than or equal to 2.

[0054] In the above embodiment, by controlling the camera device to take N shots at a preset frequency within the first preset duration of rotation of the bolt to be detected, the uniformity and regularity of image acquisition are ensured. N shots can ensure that the camera device takes shots of the bolt to be detected from different angles, thereby fully covering the surface of the bolt to be detected and improving the comprehensiveness of crack detection. For example, N is 8 (or 10, or other); by controlling the camera device to take regular shots during the rotation of the bolt, the quality and consistency of each image can be guaranteed, providing high-quality image data for subsequent crack analysis. By acquiring multiple images, the bolt can be observed from different angles and at different time points, which helps to more accurately identify and analyze cracks on the bolt surface; by adjusting the value of N, the density of image acquisition can be flexibly adjusted according to specific detection requirements and the characteristics of the bolt to meet different detection standards. By accurately controlling the shooting frequency and number of the camera device, comprehensive, efficient, and high-quality image acquisition of the bolt surface is achieved, the accuracy and reliability of crack detection are improved, and the automation and standardization level of the detection process is optimized.

[0055] In an optional embodiment, after controlling the camera device to photograph the bolts to be inspected and acquiring the target image set, the method further includes: storing the target image set in a sub-database in the target database corresponding to the number of the bolts to be inspected.

[0056] In the above embodiment, the target image set is stored in the sub-database corresponding to the number of the bolt to be detected, so that the orderly management of data is realized, which is convenient for tracing and querying the detection results of the bolts. The target database can be a cloud database, which can realize cloud sharing, and the target database can also be a target terminal, which can realize viewing in the local area network; the stored image set can be used for subsequent data analysis and processing, such as quality control, trend analysis, etc., which helps to further optimize the production process and improve product quality. The image set is stored in association with the bolt number, making it faster and more convenient to retrieve the detection data of a specific bolt. In practical applications, the large amount of stored image data can be used to train machine learning models or artificial intelligence algorithms to further improve the automation level and accuracy of crack detection. By storing the image set in the database, the effective management, protection and utilization of the bolt detection data are realized, the security, retrieval efficiency and analysis value of the data are improved, and support is provided for data sharing, remote access and automatic report generation.

[0057] The present application also provides a bolt detection platform, including any of the above-mentioned bolt detection devices, such as Figure 4As shown, the platform also includes: a conveyor belt, a second sensor, a first mechanical arm, a magnetizing device, a second mechanical arm, a second controller, and a target terminal, wherein the conveyor belt is used to transport a group of bolts to be tested; the second controller is connected to the second sensor, the first mechanical arm, the magnetizing device, and the second mechanical arm, the second sensor is used to collect second position data of the second tray, and a group of bolts to be tested are placed in the second tray; the second controller is used to control the first mechanical arm to move the second tray to the preset area of ​​the magnetizing device and control the magnetizing device to perform circumferential magnetization operation on the group of bolts to be tested when the second controller determines that the second tray has reached the second preset position based on the second position data; after magnetizing for a second preset time, the second controller is also used to control the second mechanical arm to move the bolts to be tested to the first tray of the bolt detection device, wherein the bolts to be tested are located in the target area in the preset area before being transported, and the bolts to be tested are any bolts in the group of bolts to be tested; after the detection of the bolts to be tested is completed, the second controller is also used to control the second mechanical arm to move the bolts to be tested to the target area in the magnetizing device, wherein the completion of the detection of the bolts to be tested is used to indicate that the camera device completes the operation of sending the target image set to the target terminal.

[0058] In the above embodiment, the conveyor belt is used to transport the second pallet, and the second pallet is equipped with a group of bolts to be tested. For example, a group of bolts to be tested is 9 (or 10, or other numbers). The above second sensor can be installed above the conveyor belt, or above the second preset position. When the second pallet reaches the second preset position, the second controller can control the first robot arm to move the second pallet to the preset area of ​​the magnetizing device for magnetization. The second preset time length can be 0.5S-1S (or other time length). In actual applications, a group of bolts to be tested can be placed in the corresponding positions of the preset area of ​​the magnetizing device according to their numbers. Taking a group of bolts to be tested including 9 bolts as an example, the preset area of ​​the magnetizing device includes 9 positions, which correspond to bolt numbers 1-9 respectively. By integrating automated equipment such as conveyor belts, sensors, robotic arms, and magnetizing devices, a fully automated process for bolt detection is realized, which greatly reduces manual intervention from transportation, magnetization to detection and handling; the automated conveyor belt and robotic arm can quickly carry bolts, reduce handling time, and improve detection efficiency; the circumferential magnetization operation of the bolts by the magnetizing device enhances the sensitivity of crack detection and helps to improve the accuracy of crack detection; the connection between the second controller and the sensor, robotic arm, and magnetizing device realizes precise control of each link and ensures the smoothness and accuracy of the detection process; the first controller controls the camera device to send the target image set to the target terminal, realizes data collection and remote analysis, and facilitates further quality control and decision support; the platform can adjust the speed of the conveyor belt, the movement of the robotic arm, and the parameters of the magnetizing device as needed, and has good flexibility and scalability. Automated handling and magnetization operations reduce manual direct contact with bolts, reduce operational risks, and improve operational safety. The bolt detection platform achieves the goals of efficient, accurate, and safe bolt detection through the integration of automated equipment and technology. It should be noted that the control parts of the first robotic arm, the magnetizing device and the second robotic arm can be selectively controlled by the second controller, or can be controlled individually. For example, the first robotic arm, the second robotic arm and the magnetizing device each have their own corresponding controller.

[0059] In an optional embodiment, after magnetization for a second preset time, the second controller is also used to control the second robotic arm to move each bolt to be tested in a group of bolts to the first tray of the bolt detection device in sequence according to a preset order, and the first controller controls the bolt detection device to detect each bolt to be tested in sequence, and after each bolt to be tested is detected, the second controller controls the second robotic arm to move each bolt to be tested back to the corresponding position in the preset area.

[0060] In the above embodiment, the second mechanical arm can grab each bolt to be tested in the order of bolt numbers and place it in the first tray of the aforementioned bolt detection device for detection. For example, first grab bolt No. 1 for detection. After the detection, the second mechanical arm grabs bolt No. 1 from the first tray and moves it to the position corresponding to bolt No. 1 in the preset area of ​​the magnetizing device, that is, the position where bolt No. 1 was originally magnetized; and so on, each other bolt to be tested is moved to the bolt detection device in turn, and then moved back to the original position in the magnetizing device after the detection is completed. By controlling the second mechanical arm to move each bolt to the detection device in turn according to the preset order, the bolt detection is sequential, ensuring the orderliness and controllability of the detection process; the automated handling and detection process reduces the waiting time between bolt handling and detection, and improves the overall detection efficiency; the sequential operation ensures that each bolt can be fully detected, avoiding missed detection or misdetection due to operational errors or confusion; the sequential detection process facilitates data recording and management, and the detection data of each bolt can correspond to its handling order, which is convenient for subsequent data tracing and analysis. The automated handling and inspection process reduces the labor intensity of manual handling of bolts and improves the working environment. The platform can perform batch inspection on a group of bolts, which is suitable for large-scale production environments and helps to improve production scale and efficiency. Through the automated sequential inspection process, the efficiency, accuracy and safety of bolt inspection are improved, while the working process is optimized, the labor intensity of manual labor is reduced, and it is conducive to improving production efficiency and product quality.

[0061] In an optional embodiment, the target terminal compares the target image set with a preset crack database to determine whether the bolt to be inspected has cracks, wherein the preset crack database includes multiple bolt crack features.

[0062] In the above embodiment, the multiple crack features contained in the preset crack database help the target terminal to more accurately identify and distinguish different types of cracks, thereby improving the accuracy of crack detection; by comparing the target image set with the preset crack database through the target terminal, the automatic identification of bolt cracks is realized, thereby improving the efficiency and accuracy of crack detection; the automated crack identification process reduces the impact of human factors on the detection results, and reduces the risk of misjudgment and missed judgment. The target terminal can remotely access and analyze the image set, so that the detection work can be carried out in different locations, thereby improving the flexibility of detection. The establishment and maintenance of the preset crack database can promote data sharing and collaboration between different detection platforms or detection personnel, thereby improving the efficiency of the entire detection system; through automated crack identification and data-driven decision-making, the efficiency, accuracy and reliability of bolt crack detection are improved.

[0063] It should be noted that the above-described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The present application will be described in detail below in conjunction with specific embodiments.

[0064] An embodiment of the present application provides an intelligent non-destructive testing platform, which includes: a conveyor belt, a first robotic arm, a first tooling detection device (corresponding to the aforementioned magnetizing device), a second robotic arm, and a second tooling detection device (corresponding to the aforementioned bolt detection device).

[0065] The conveyor belt is used to transport the bolts to be inspected, the first robotic arm is used to grab the bolts to be inspected from the conveyor belt to the first tooling inspection device (to magnetize the bolts to be inspected), and the second robotic arm is used to grab the bolts to be inspected from the first tooling inspection device to the second tooling inspection device.

[0066] Among them, the first tooling detection device has different bolt placement positions and corresponding bolt numbers. Currently, there are 9 bolt placement positions on the first tooling detection device, corresponding to bolt numbers 1-9 respectively. Of course, more bolt placement positions can also be set. In addition, the second robotic arm grabs the bolts to be detected in sequence according to the bolt number order and places them on the second tooling detection device for photo uploading. 9 bolts are detected as a group.

[0067] Among them, the second tooling detection device is a self-developed device, which includes a bolt clamping component, a tray located below the bolt clamping component (corresponding to the aforementioned first tray), a sensor located at the clamping position of the bolt clamping component (corresponding to the aforementioned first sensor), and a camera device located above the bolt clamping component, such as Figure 2 As shown, the camera device is supported and fixed by a camera device supporting component.

[0068] The second robot arm is specifically used to grab the bolt to be inspected from the first tooling inspection device to the tray under the bolt clamping component, control the movement of the limit components at both ends of the bolt clamping component to clamp the bolt to be inspected, and read the parameters of the sensor in real time, and judge whether the bolt to be inspected is in a clamped state based on the parameters of the sensor. If it is in the clamped state, the bolt to be inspected is controlled to start rolling and rotating, and at the same time, an image set of the bolt to be inspected taken by the camera device is obtained. For example, the camera device takes 8 photos in 6 seconds, because it is experimentally measured that 6 seconds can control the bolt to be inspected to rotate one circle. In this process, 8 photos are taken at equal intervals, which can achieve the effect of taking the minimum number of photos and covering the state of the bolt to be inspected for one circle. The image set of the bolt to be inspected is stored in a designated folder and transmitted to the remote terminal used by the inspector to realize remote bolt detection.

[0069] After taking a set of images of the bolts to be inspected and storing and transmitting them to the remote terminal, the second tooling inspection device controls the bolt clamping component to loosen the bolt, and grabs the next numbered bolt to repeat the process.

[0070] After the bolt clamping component is controlled to loosen the bolt, the bolt to be inspected will fall onto the tray. The second robot arm then grabs the bolt to be inspected on the tray and puts it back into the first tooling inspection device.

[0071] The structure of the second tooling inspection device: The bolt clamping component is located on the slide rail, such as Figure 2 The slide rail can be adjusted left and right, and the coordinates can be adjusted continuously by moving in the xoy plane. The camera device can be adjusted up and down to capture more accurate images, such as Figure 2 The camera device vertical position adjustment motor can adjust the camera device up and down.

[0072] The present application also provides an intelligent nondestructive testing method, including the following contents:

[0073] 1. Automatic magnetic particle inspection of bolts

[0074] The conveyor belt with limit sensors used in front of the newly developed bolt flat coil magnetic particle detector (corresponding to the aforementioned first tooling detection device) is used. When a group of bolts to be tested are delivered to the right place, they are sensed by the limit sensors, and the mechanical arm 1 (with a large holding tool, corresponding to the aforementioned first mechanical arm) next to the magnetic particle detector is linked to hold the bolts on the conveyor belt and transport them to the flat coil area (corresponding to the aforementioned preset area) for circumferential magnetization. The magnetization process takes 0.5s to 1s (corresponding to the aforementioned second preset time). The flat coil area is as follows Figure 5 As shown, after magnetization, a black light is used to illuminate the magnetized bolt. Through the black light illumination, the leakage magnetic area will appear due to the adsorption of magnetic powder, making defects such as cracks more obvious. After magnetization, the robot arm 2 (with a small holding tool, corresponding to the aforementioned second robot arm) next to the magnetic particle flaw detector is linked to hold both ends of bolt No. 1 (bolt head and thread end), and transport it to the bolt inspection tooling (i.e., the second tooling inspection device). After the inspection, it is transported back to position No. 1 by robot arm 2. Robot arm 2 continues to transport bolts No. 2 to No. 9 until all bolts No. 9 have completed the inspection.

[0075] 2. Bolt automatic photography tooling realizes automatic rolling stop of bolts

[0076] When the robot arm 2 carries the bolt to the bolt photographing inspection tooling position, the bolt photographing tooling is equipped with a sensor. When it detects that the bolt has reached the set position, it is automatically pneumatically clamped. After the bolt is clamped, the motor automatically starts and starts to run at a uniform speed of 6s / revolution. It stops rotating after running for 8s, and the pneumatic tightening is released. The robot arm 2 automatically clamps both ends of the bolt and transports the photographed bolt back to the designated position.

[0077] 3. Automatic photo control algorithm

[0078] Self-developed bolts automatically take photos and save them in the database with the corresponding number according to the bolts, so that the photos of the bolts being tested can be saved and shared in the cloud. When it is detected that the bolt to be tested stops for 1 second and then rotates at a uniform speed, the photo function is activated, and 8 photos are taken within 6 seconds (one rotation of the bolt) and automatically saved in the database with the corresponding number, which can be shared in the cloud or viewed in the local area network.

[0079] 4. Bolt crack image recognition

[0080] Solution 1: Establish a crack image comparison database

[0081] Each bolt photo taken is compared with the database. If the comparison is successful, the device can automatically alarm and realize automatic judgment of bolt cracks.

[0082] Solution 2: Image recognition algorithm that records crack features and performs deep learning

[0083] Different from the image comparison algorithm, the length, width, position and outer contour of each crack are recorded and other crack shape features are added during the continuous shooting process to achieve continuous learning and upgrading of the algorithm. We have successively adopted the thread crack recognition method based on YOLOV5 and the R angle crack recognition results based on semantic segmentation, and obtained good test results.

[0084] 5. Precise control method of the slide rail position of the xoy plane of the bolt-supported rotating tooling

[0085] The bolt holding and rotating equipment adopts the slide rail form of the xoy plane, which can move accurately horizontally and vertically to realize the accurate positioning of the detected bolt in the detected area in the xoy plane. The top camera can move vertically up and down in the yoz plane to adjust the focal length of the lens. The equipment is also equipped with an operation panel. Click the position on the panel to accurately establish the association relationship with the coordinate system and accurately control the movement of the coordinates.

[0086] Through the embodiments of the present application, the efficiency and accuracy of bolt detection can be improved.

[0087] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0088] The present application also provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed, any one of the method steps described above is executed.

[0089] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0090] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0091] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0092] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0093] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0094] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0095] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0096] This application is intended to cover any modifications, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the technical field not recorded in the present disclosure.

Claims

1. A bolt detection device, characterized in that: include: A clamping member, a first tray, a first sensor, a camera device, a first controller, wherein: The first tray is fixed below the clamping component, and the first tray is used to place the bolts to be tested; The first sensor is arranged in the clamping component, and the first sensor is used to collect the first position data of the bolt to be detected; The first controller is connected to the clamping component, the first sensor and the camera device. When the first controller determines that the bolt to be detected has reached the first preset position based on the first position data, the first controller is used to control the limit components at both ends of the clamping component to move to clamp the bolt to be detected, and control the bolt to be detected to roll and rotate for at least one circle; During the rolling and rotating process of the bolt to be detected, the first controller is further used to control the camera to shoot the bolt to be detected to obtain a target image set, and send the target image set to a target terminal, so that the target terminal can judge whether the bolt to be detected has a crack based on the target image set, wherein the target image set includes a preset number of images; Wherein, the bolt detection device also includes: a slide rail, wherein the clamping component is located on the slide rail, and the slide rail is configured to allow movement in a horizontal plane to adjust the position of the bolt to be detected; the camera device is configured to allow movement in a vertical plane to facilitate focusing and imaging of the bolt to be detected.

2. The bolt detection device according to claim 1, characterized in that: After controlling the camera device to photograph the bolt to be detected to obtain the target image set, the first controller is also used to control the bolt to be detected to stop rotating, and control the clamping component to loosen the bolt to be detected so that the bolt to be detected falls into the first tray.

3. A bolt detection method, characterized in that: The bolt detection device used in any one of claims 1 to 2 comprises: Acquire first position data of the bolt to be detected collected by the first sensor; When it is determined based on the first position data that the bolt to be detected has reached the first preset position, controlling the limit components at both ends of the clamping component to move to clamp the bolt to be detected; Controlling the bolt to be detected to roll and rotate for at least one circle, and during the rolling and rotating process of the bolt to be detected, controlling a camera device to photograph the bolt to be detected to obtain a target image set, wherein the target image set includes a preset number of images; Sending the target image set to a target terminal, so that the target terminal can determine whether the bolt to be inspected has a crack based on the target image set; Wherein, controlling the bolt to be detected to roll and rotate for at least one circle comprises: controlling the bolt to be detected to rotate along a predetermined axis at a preset rotation speed for a first preset time, wherein the bolt to be detected rotates at least one circle within the first preset time, wherein the predetermined axis is used to represent the central axis of the limiting components at both ends of the clamping component; During the rolling and rotating process of the bolt to be detected, the camera device is controlled to shoot the bolt to be detected and obtain a target image set, including: during the rolling and rotating process of the bolt to be detected, the camera device is controlled to shoot the bolt to be detected N times within the first preset time period at a preset frequency, and the target image set includes N images, where N is a positive integer greater than or equal to 2.

4. The bolt detection method according to claim 3, characterized in that: After controlling the camera device to photograph the bolt to be detected and obtaining a target image set, the method further includes: The target image set is stored in a sub-database in the target database corresponding to the number of the bolt to be detected.

5. A bolt detection platform, characterized in that: The bolt detection device according to any one of claims 1 to 2 further comprises: a conveyor belt, a second sensor, a first mechanical arm, a magnetizing device, a second mechanical arm, a second controller, and a target terminal, wherein: The conveyor belt is used to transport a group of bolts to be tested; The second controller is connected to the second sensor, the first mechanical arm, the magnetizing device, and the second mechanical arm, the second sensor is used to collect second position data of a second pallet, and the group of bolts to be tested is placed in the second pallet; The second controller is used to control the first robot arm to move the second pallet to a preset area of ​​the magnetizing device, and control the magnetizing device to perform a circumferential magnetization operation on the group of bolts to be tested, when it is determined based on the second position data that the second pallet has reached the second preset position; After magnetization for a second preset time, the second controller is further used to control the second mechanical arm to carry the bolt to be detected to the first tray of the bolt detection device, wherein the bolt to be detected is located in a target area in the preset area before being carried, and the bolt to be detected is any one of the group of bolts to be detected; After the detection of the bolt to be detected is completed, the second controller is further used to control the second mechanical arm to carry the bolt to be detected to the target area in the magnetizing device, wherein the completion of the detection of the bolt to be detected is used to indicate that the camera device completes the operation of sending the target image set to the target terminal; The target terminal compares the target image set with a preset crack database to determine whether the bolt to be detected has a crack, wherein the preset crack database includes a variety of bolt crack features.

6. The bolt detection platform according to claim 5, characterized in that: After magnetization for a second preset time, the second controller is also used to control the second robotic arm to move each bolt in the group of bolts to the first tray of the bolt detection device in sequence according to a preset order, and the first controller controls the bolt detection device to detect each bolt to be tested in sequence, and after the detection of each bolt to be tested is completed, the second controller controls the second robotic arm to move each bolt to be tested back to the corresponding position in the preset area.

Images