Reliability detection device, detection method, storage medium and execution equipment for surge protector connector

Abstract

The present invention provides a reliability detection device, detection method, storage medium and execution equipment for a surge protector connector, aiming to efficiently and accurately evaluate the stability and safety of the connector. The device consists of a mounting seat, a detection component, an image acquisition module, a concavity acquisition module and a management and analysis device. The mounting seat adopts an I-shaped structure, supports the synchronous operation of eight detection components, and improves the detection efficiency. The detection component realizes flexible movement and precise positioning through the design of a slider and an extension block, and the contact arm is used to test the performance of the conductive terminal of the connector. The image acquisition module and the concavity acquisition module jointly ensure that the contact arm is accurately aligned with the terminal slot, simplifying the operation process. The interactive element provides instant feedback and enhances the user experience. The management and analysis device integrates data storage, management and analysis functions, and supports historical record query and reliability trend analysis. This device realizes efficient detection of the reliability of the surge protector connector by comprehensively applying multiple technologies, provides strong support for maintenance and replacement decisions, and ensures the stable operation of the power system.

Description

Technical Field

[0001] The present invention relates to the technical field of low-voltage switchgear detection devices, and in particular to a reliability detection device, a detection method, a storage medium and an execution device for a surge protector connector. Background Art

[0002] In modern electrical systems, surge protectors (Surge Protectors) are important devices for preventing overvoltage and current surges. The reliability of their connectors is directly related to the safe and stable operation of the entire electrical system. During long-term use, the contact terminals of surge protector connectors may wear, rust or deform due to factors such as the environment, weather, and frequency of use, which in turn affects their conductive properties and connection stability. Therefore, regular reliability testing of surge protector connectors is an important measure to ensure the safety of electrical systems.

[0003] Traditional methods for testing the conductive state and performance of surge protector connectors rely on manual visual inspection or simple measuring tools, which have the disadvantages of low detection efficiency, poor accuracy, and difficulty in quantitative evaluation. Especially in large-scale electrical systems, checking each connector one by one is not only time-consuming and laborious, but also easy to miss problem points, posing hidden dangers to system safety.

[0004] With the development of automation and intelligent technology, some detection equipment based on image recognition and automatic control has begun to appear on the market, but these devices are often designed for specific types of surge protectors, have poor versatility, and have relatively single functions, and cannot meet complex and changing detection needs. Therefore, it is particularly important to develop an automated device that can efficiently, accurately, and comprehensively detect the reliability of the surge protector connector. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] To solve the above problems, the present invention proposes a reliability detection device, detection method, storage medium and execution equipment for a surge protector connector, aiming to solve the problems in the prior art that the detection equipment relies on manual visual inspection or the use of simple measuring tools, and these methods have the problems of low detection efficiency, poor accuracy and difficulty in quantitative evaluation.

[0007] (II) Technical solution

[0008] A reliability detection device for a surge protector connector of the present invention, the reliability detection component comprises:

[0009] Mounting seat;

[0010] A detection component is movably arranged on the mounting seat, the number of the detection components is two and they are respectively arranged on both sides of the mounting seat, and the two detection components arranged opposite to each other can act synchronously;

[0011] An image acquisition module, arranged on the detection component, for acquiring image information of a surge protector connector below the detection component, and identifying an edge image of the surge protector connector in the image according to reflectivity;

[0012] A concavity acquisition module, arranged on the detection component, for cooperating with the image acquisition module to identify the position of the terminal slot to improve the detection efficiency of the detection component;

[0013] A management and analysis device, used for storing and managing data in the surge protector connection socket reliability detection component;

[0014] The detection component includes a slider that can slide left and right on the mounting base, an extension block that can slide up and down, and a contact arm arranged at the bottom of the extension block. The detection component tests the conductive performance of the surge protector connection base by inserting the contact arm into the conductive terminal of the surge protector connection base. The detection component is also provided with an interactive element. When the detection component is directly above the conductive terminal of the surge protector connection base as determined by the image acquisition module and the concavity acquisition module, the interactive element is used to indicate whether the contact arm is located above the terminal of the surge protector connection base.

[0015] In the present invention, a cross bar is provided on the mounting seat, the slider is sleeved on the cross bar, a slide groove is provided on the front side of the slider, and a protrusion matched with the slide groove is provided on the extension block.

[0016] In the present invention, a first fastener is provided on the top of the sliding block for fixing the position of the sliding block, and a second fastener is provided on the front side of the extending block for fixing the position of the extending block.

[0017] In the present invention, a first power member is provided on the side of the mounting seat, and the first power member is used to drive the detection component to move laterally. A second power member is also provided on the top of the mounting seat, and the second power member is located above the extension block and is used to drive the extension block to move up and down.

[0018] In the present invention, based on the reliability detection device of the surge protector connector described in the above technical solution, the reliability detection method of the surge protector connector includes:

[0019] Obtaining a top view of a surge protector connector, extracting an edge image of the top view of the surge protector connector, extracting a hyperspectral image of the surge protector connector based on light reflectivity, and obtaining a rough position of a groove of the surge protector connector;

[0020] Processing the edge image based on a gradient algorithm, optimizing the hyperspectral image based on radiation correction, and fusing the processed edge image and the optimized hyperspectral image to generate a comparison image;

[0021] Based on the concavity acquisition module, the thickness and concavity data of the surge protector connector are obtained to obtain the concavity characteristic value;

[0022] The concavity characteristic value is analyzed to obtain the concavity abnormality characteristic and matched with the comparison image to generate the position parameter and caliber parameter of the terminal slot.

[0023] In the present invention, the reliability detection method of the surge protector connection socket further includes:

[0024] Based on the Canny algorithm, the edge image is first Gaussian blurred to suppress the noise belonging to the high-frequency signal; then the Sobel operator is used to calculate the gradient size and direction; then the edge image is subjected to non-maximum pixel gradient suppression. If it is an extreme value, the pixel is retained as an edge point. If not, it is suppressed and not used as an edge point.

[0025] In the present invention, the edge image is subjected to threshold hysteresis processing, a high threshold and a low threshold are defined, pixel points with gradient intensity lower than the low threshold are suppressed and not used as edge points, pixel points with gradient intensity higher than the high threshold are defined as strong edges and retained as edge points, and pixel points between the high and low thresholds are defined as weak edges and reserved for further processing;

[0026] Then, isolated weak edge suppression is performed on the edge image. For each weak edge in the result of the previous step, if one of the surrounding 8 adjacent pixels is a strong edge, the weak edge is considered to be a strong edge, otherwise it is regarded as an isolated point and discarded.

[0027] In the present invention, any pixel in the hyperspectral image is selected as the pixel to be measured; in a preset neighborhood centered on the pixel to be measured, the spectral difference of the pixel to be measured is obtained according to the similarity between the spectral data of the pixel to be measured and all the corresponding neighboring pixels; the spectral deviation coefficient of the pixel to be measured is obtained according to the fluctuation change between the spectral data of the pixel to be measured and all the corresponding neighboring pixels; the abnormal factor of the pixel to be measured is obtained according to the similarity of the change trend between the spectral data of the pixel to be measured and all the neighboring pixels;

[0028] Then, the processed edge image and the abnormal factor are fused to generate a comparison image.

[0029] Another computer-readable storage medium of the present invention stores a computer program thereon, characterized in that when the program is executed by a processor, the steps of the surge protector connector reliability detection method described in the above technical solution are implemented.

[0030] Another execution device of the present invention includes an execution device body and a controller, and is characterized in that the controller includes a processor and a computer program stored in a memory and executable on the processor, and when the processor executes the program, the steps of the surge protector connector reliability detection method described in the above technical solution are implemented.

[0031] (III) Beneficial effects

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] (1) The device of the present invention adopts a dual detection component design, which can operate synchronously and cooperate with the image acquisition module and the concavity acquisition module to quickly and accurately locate and identify the edge of the surge protector connector and the terminal slot position, thereby greatly improving the detection efficiency.

[0034] (2) The high-definition image information obtained by the image acquisition module of the present invention, combined with the reflectivity recognition technology, can accurately identify the edge and terminal status of the connector, avoiding the subjectivity and errors of manual visual inspection and improving the accuracy and reliability of detection.

[0035] (3) The present invention reduces manual intervention through the automated detection process, reduces the labor intensity and safety risks of operators, and improves work efficiency and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 It is a schematic diagram of the three-dimensional structure of the detection device;

[0038] Figure 2 It is a schematic diagram of the three-dimensional structure of the detection component;

[0039] Figure 3 It is a three-dimensional structural schematic diagram of the concavity acquisition module;

[0040] Figure 4 is a schematic diagram of the three-dimensional structure of the detection device in Example 2;

[0041] Figure 5 Schematic diagram of the framework structure of the detection method;

[0042] Figure 6 It is a schematic diagram of the logical structure of edge image segmentation;

[0043] Figure 7 Schematic diagram of the framework structure of the execution equipment.

[0044] 1. Mounting seat, 11. Cross bar, 12. First power member, 13. Second power member, 2. Detection component, 21. Slider, 211. Slide groove, 212. First fastener, 22. Extension block, 221. Protrusion, 222. Second fastener, 23. Contact arm, 24. Interactive element, 3. Image acquisition module, 4. Concavity acquisition module, 5. Processor, 6. Memory, 7. Communication interface, 8. Communication bus. DETAILED DESCRIPTION

[0045] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Example 1

[0047] A surge protector connector reliability detection device is disclosed, which can efficiently and accurately detect the reliability of the surge protector connector, ensuring its stability and safety in practical applications. Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0048] like Figure 1-Figure 3 As shown, the reliability detection device of the surge protector connector of the present invention mainly includes a mounting base 1, a detection component 2, an image acquisition module 3, a concavity acquisition module 4 and a management and analysis device (not shown in the figure). The detection component 2 is movably arranged on the mounting base 1, and the number is eight, which are respectively located on both sides of the mounting base 1 to achieve synchronous action and improve detection efficiency.

[0049] Among them, the mounting base is an I-shaped structure as a whole, which is mainly composed of a main body and side panels fixed at both ends of the main body. A cross bar 11 is also provided between the two side panels. The cross bars 11 are respectively arranged on both sides of the main body and the two cross bars 11 arranged on the same side are arranged parallel to each other up and down.

[0050] The detection assembly 2 includes a slider 21, an extension block 22, and a contact arm 23 disposed at the bottom of the extension block 22. The slider 21 is sleeved on the cross bar 11 and can slide left and right along the cross bar 11. A slide groove 211 is provided on the front side of the slider 21 for cooperating with a protrusion 221 on the extension block 22 so that the extension block 22 can slide up and down relative to the slider 21.

[0051] In this embodiment, the slider 21 can be driven manually or by a power part to achieve semi-automatic or fully automatic control. When the slider 21 is semi-automatically or fully automatically controlled, the movement of the slider 21 can be controlled by a screw motor, a cylinder, etc.

[0052] The contact arm 23 is used to insert into the conductive terminal of the surge protector connector to test its conduction performance. In order to ensure that the contact arm 23 can accurately align with the conductive terminal, the detection component 2 is provided with an image acquisition module 3 and a recessed acquisition module 4 to work together to improve the alignment of the contact arm 23 and the terminal slot of the connector, thereby facilitating the subsequent automated operation and reducing the difficulty of operation.

[0053] In particular, the detection component 2 is also provided with an interactive element 24. When the image acquisition module 3 and the concavity acquisition module 4 jointly determine that the detection component 2 is directly above the conductive terminal of the surge protector connection socket, the interactive element 24 will give an indication to confirm the position of the contact arm 23. The interactive element 24 can be a vibrator, a buzzer, an indicator light, etc., that is, it can use vibration, bright light flashing, sound, etc. to prompt the user of the alignment status.

[0054] The image acquisition module 3 and the concavity acquisition module 4 are both arranged on the detection component 2, and can be specifically installed on the extension block 22 or the slider 21, so as to obtain the image information and the concavity information of the surge protector connector. The image acquisition module 3 recognizes the edge image of the surge protector connector in the image by the reflectivity, and the concavity acquisition module 4 cooperates with the image acquisition module 3 to recognize the position of the terminal slot, thereby improving the detection efficiency.

[0055] In order to fix the position of the detection component 2, a first fastener 212 is provided on the top of the slider 21, which is used to lock the slider 21 when necessary to prevent it from sliding. A second fastener 222 is provided on the front side of the extension block 22, which is used to lock the extension block 22 to ensure the stability of the contact arm 23 during the test. In particular, the concavity acquisition module 4 and the image acquisition module 3 can be respectively arranged on the slider 21 or the extension block 22, wherein the concavity acquisition module 4 and the image acquisition module 3 are both arranged at the bottom of the detection component 2, and through holes are also provided on the slider 21 and the extension block 22 for easy wiring.

[0056] The concavity acquisition module 4 can be an ultrasonic detection component or an infrared detection component. In this embodiment, the ultrasonic component includes an ultrasonic generator and an ultrasonic receiver. The ultrasonic receiver receives the ultrasonic waves emitted and refracted by the ultrasonic generator in real time to continuously obtain the shell thickness of the surge protector connector and the precise position parameters and depth parameters of the terminal slot. In particular, the image acquisition module 3 and the concavity acquisition module 4 can be powered by an external power supply, or by setting a battery module on the circuit board and then inserting it into the extension block 22 to power the concavity acquisition module 4 to the ultrasonic detection component.

[0057] Although the management and analysis device is not shown in the figure, it is an integral part of the present invention. The management and analysis device is used to store and manage all data in the surge protector connector reliability detection device, including image information, concavity information, and test results. Through the management and analysis device, users can easily view historical detection records, analyze the reliability trend of the surge protector connector, and provide decision support for subsequent maintenance and replacement.

[0058] Example 2

[0059] In addition, if Figure 4 The difference from Example 1 is that, in order to realize automated detection, a first power member 12 is provided on the side of the mounting seat 1, which is used to drive the detection assembly 2 to move laterally along the cross bar 11. A second power member 13 is also provided on the top of the mounting seat 1, which is located above the extension block 22 and is used to drive the extension block 22 to move up and down. The first power member 12 and the second power member 13 can be motors, cylinders or other driving devices that can generate linear displacement.

[0060] It should be noted that Figure 4 The fixing structure of the second power member 13 is not shown, that is, a fixing block or a fixing frame is provided on the top or both sides of the main body for installing the second power member 13. The first power member 12 is fixedly arranged on the side plate, and the slider 21 is sleeved on the first power member 12, and the slider 21 can be driven to move left and right by the first power member 12. Specifically, the first power member 12 is a screw motor, and the second power member 13 is a mini telescopic motor.

[0061] Example 3

[0062] like Figure 5-Figure 6 As shown, a surge protector connection socket reliability detection method is disclosed, comprising the following steps:

[0063] S100, obtaining a top view of a surge protector connector, and providing an edge image of the top view of the surge protector connector, extracting a hyperspectral image of the surge protector connector based on light reflectivity, and obtaining a rough position of a groove of the surge protector connector;

[0064] S200, optimizing the hyperspectral image based on radiation correction based on the edge image using a gradient algorithm, and fusing the processed edge image and the optimized hyperspectral image to generate a comparison image;

[0065] Based on the Canny algorithm, the edge image is first Gaussian blurred to suppress the noise belonging to the high-frequency signal; then the Sobel operator is used to calculate the gradient size and direction; then the edge image is subjected to non-maximum pixel gradient suppression. If it is an extreme value, the pixel edge point is retained; if not, it is suppressed and not used as an edge point.

[0066] Performing threshold hysteresis processing on the edge image, defining a high threshold and a low threshold, pixel points with gradient intensity lower than the low threshold are suppressed and not regarded as edge points, pixel points with gradient intensity higher than the high threshold are defined as strong edges and retained as edge points, and pixel points between the high and low thresholds are defined as weak edges and reserved for further processing;

[0067] Then, isolated weak edge suppression is performed on the edge image. For each weak edge in the result of the previous step, if one of the surrounding 8 adjacent pixels is a strong edge, the weak edge is considered to be a strong edge, otherwise it is regarded as an isolated point and discarded.

[0068] Specifically, considering accuracy and lightness, the DeepLab v3+ segmentation model can be used for image segmentation. The segmentation model training process is as follows: Figure 6 As shown. First, the edge images of the surge protector connector are collected multiple times, and the collected edge images are screened to ensure the quantitative balance between categories and the correct division of the training set and the test set to a certain extent, and then the screened edge images are labeled by category (i.e., the objects to be inspected are labeled). Among them, in order to ensure the diversity of the objects to be inspected and the working scenes. In addition, in order to improve the detection efficiency, the screened edge images can also be pre-processed, such as image enhancement processing, cropping processing, denoising processing, etc.

[0069] Then, select or build an edge image segmentation model, such as the DeepLab v3+ segmentation model mentioned above. After that, build a model training environment, and use the training set to train the edge image segmentation model, and then use the test set to evaluate and optimize the image segmentation model. Repeat the above process to complete the edge image segmentation model training and obtain the segmentation model required for the cleaning equipment, that is, the final trained segmentation model.

[0070] Among them, DeepLab v3+ is a semantic segmentation algorithm that can assign a category to each pixel in an image, but objects in the same category will not be distinguished. Compared with traditional semantic segmentation algorithms, the biggest feature of DeepLab v3+ is the introduction of dilated convolution, which extracts more effective image features without losing information, so that each convolution output contains a wider range of information.

[0071] It should be noted that the above-mentioned image segmentation and edge processing can be implemented through one integrated processing module or through two separate processing modules; they can be performed simultaneously or sequentially.

[0072] In the hyperspectral image, any pixel is selected as the pixel to be measured; in a preset neighborhood centered on the pixel to be measured, the spectral difference of the pixel to be measured is obtained according to the similarity between the spectral data of the pixel to be measured and all the corresponding neighboring pixels; the spectral deviation coefficient of the pixel to be measured is obtained according to the fluctuation change between the spectral data of the pixel to be measured and all the corresponding neighboring pixels; the abnormal factor of the pixel to be measured is obtained according to the similarity of the change trend between the spectral data of the pixel to be measured and all the neighboring pixels, and then the processed edge image and the abnormal silver factor are fused to generate a comparison image.

[0073] The present invention firstly uses a hyperspectral sorter to obtain a hyperspectral image of a surge protector connector. The hyperspectral image is a three-dimensional data block, but in addition to position information and spectral data, it may also contain information generated by interference from external factors, such as sensor errors, atmospheric radiation transmission effects, and mixed pixels. Therefore, in order to reduce the interference of the above factors, an empirical linear method can be used to perform radiation correction on the hyperspectral image to eliminate interference and obtain more realistic spectral data. The symmetric nearest neighbor mean filtering method is used to filter the hyperspectral image to achieve noise control while maintaining the original image features. At this time, the processed hyperspectral image is used in subsequent steps to preliminarily improve the accuracy of the results.

[0074] It should be noted that the implementer of the device for obtaining the hyperspectral image in this embodiment of the present invention can adjust it according to the implementation scenario, which is not limited here; the empirical linear method and the symmetric nearest neighbor mean filtering method are technical means well known to those skilled in the art and will not be elaborated here; in order to reduce the influence of color on spectral data, the embodiment of the present invention analyzes the top surface of the surge protector connector.

[0075] S300, obtaining thickness and concavity data of the surge protector connector based on a concavity acquisition module to obtain a concavity characteristic value;

[0076] First, this embodiment uses a concavity acquisition module to detect the surge protector connector. The concavity acquisition module includes but is not limited to a sensor component and a data processing unit, wherein the sensor component may be an ultrasonic detection component, an infrared detection component, etc. In this embodiment, an ultrasonic detection component may be used to detect the depth and position of the terminal slot.

[0077] The ultrasonic detection component includes an ultrasonic generator and an ultrasonic receiver, and obtains the precise position of the terminal slot by emitting ultrasonic waves and receiving ultrasonic feedback reflected back in combination with comparison images.

[0078] The sensor assembly is arranged on the probe part of the detection equipment, and is used to directly contact or scan the surface of the connection seat at a close distance to obtain its thickness and concavity data. The data processing unit is responsible for receiving the raw data transmitted by the sensor assembly and performing preliminary processing to obtain the concavity characteristic value.

[0079] S400, analyzing the concavity feature value to obtain the concavity abnormality feature and matching it with the comparison image to generate the position parameter and caliber parameter of the terminal slot.

[0080] This embodiment also includes an image comparison database and a data analysis module, which store standard comparison images of various types of surge protector connectors. These images contain standard position information and caliber information of the terminal slots. After the data analysis module identifies abnormal concavity features, it automatically matches these features with standard features in the comparison image.

[0081] The data analysis module compares the abnormal concavity features (indicated by the dotted box) with the standard images in the comparison image library. Through complex image processing and pattern recognition algorithms, the data analysis module can accurately find the terminal slot position corresponding to the abnormal features and measure its caliber parameters. Ultimately, these position parameters (such as X, Y coordinates) and caliber parameters (such as width W and depth H) are output, which facilitates the automated design and precise positioning of the reliability detection device.

[0082] Example 4

[0083] An embodiment of the present invention provides a computer-readable storage medium.

[0084] The computer-readable storage medium provided in the embodiment of the present invention stores a computer program, and when the computer program is executed by a processor, the steps of any one of the above-mentioned surge protector connector reliability detection methods can be implemented.

[0085] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0086] For an introduction to the computer-readable storage medium provided in an embodiment of the present invention, please refer to the above method embodiment, and the present invention will not be elaborated here.

[0087] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0088] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0089] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0090] Example 5

[0091] An embodiment of the present invention provides an execution device.

[0092] Please refer to Figure 7 , Figure 7 This is a schematic diagram of the structure of an execution device provided by the present invention, and the execution device may include:

[0093] Memory for storing computer programs;

[0094] The processor is used to implement the steps of any one of the above-mentioned surge protector connector reliability detection methods when executing a computer program.

[0095] like Figure 7 , which is a schematic diagram of the composition structure of the execution device, the execution device may include: a processor 5, a memory 6, a communication interface 7 and a communication bus 8. The processor 5, the memory 6, and the communication interface 7 all communicate with each other through the communication bus 8.

[0096] In the embodiment of the present invention, the processor 5 may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic devices.

[0097] The processor 5 may call the program stored in the memory 6. Specifically, the processor 5 may execute the operations in the embodiment of the push button switch fault detection method.

[0098] The memory 6 is used to store one or more programs, which may include program codes, and the program codes include computer operation instructions. In the embodiment of the present invention, the memory 6 at least stores programs for implementing the following functions:

[0099] Obtaining a top view of a surge protector connector, and providing an edge image of the top view of the surge protector connector, extracting a hyperspectral image of the surge protector connector based on light reflectivity, and obtaining a rough position of a groove of the surge protector connector;

[0100] Based on the edge image of the gradient algorithm, the hyperspectral image is optimized based on radiation correction, and the processed edge image and the optimized hyperspectral image are fused to generate a comparison image;

[0101] Based on the concavity acquisition module, the thickness and concavity data of the surge protector connector are obtained to obtain the concavity characteristic value;

[0102] The concavity characteristic value is analyzed to obtain the concavity abnormality characteristic and matched with the comparison image to generate the position parameter and caliber parameter of the terminal slot.

[0103] In a possible implementation, the memory 6 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function, etc.; the data storage area may store data created during use.

[0104] In addition, the memory 6 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0105] The communication interface 7 may be an interface of a communication module, and is used to connect to other devices or systems.

[0106] Of course, it should be noted that Figure 7 The structure shown does not constitute a limitation on the execution device in the embodiment of the present invention. In actual applications, the execution device may include Figure 7 More or fewer components than shown, or combinations of certain components.

[0107] The above-described embodiments are merely descriptions of preferred implementations of the present invention, and are not intended to limit the concept and scope of the present invention. Without departing from the design concept of the present invention, various modifications and improvements made by ordinary persons in the art to the technical solution of the present invention should fall within the protection scope of the present invention, and the technical contents for which protection is sought in the present invention have been fully recorded in the claims.

[0108] In summary, the reliability detection device for the surge protector connector of the present invention realizes efficient and accurate detection of the surge protector connector through ingenious mechanical design and advanced detection technology. The device not only improves the detection efficiency, but also ensures the accuracy and reliability of the detection results, providing a strong guarantee for the safe operation of the power system.

Claims

1. A reliability detection device for a surge protector connector, characterized in that: The reliability detection device comprises: Mounting seat; A detection component is movably arranged on the mounting seat, the number of the detection components is two and they are respectively arranged on both sides of the mounting seat, and the two detection components arranged opposite to each other can act synchronously; An image acquisition module, arranged on the detection component, for acquiring image information of a surge protector connector below the detection component, and identifying an edge image of the surge protector connector in the image according to reflectivity; A concavity acquisition module, arranged on the detection component, for cooperating with the image acquisition module to identify the position of the terminal slot to improve the detection efficiency of the detection component; A management and analysis device, used for storing and managing the data in the detection component; The detection component includes a slider that can slide left and right on the mounting base, an extension block that can slide up and down, and a contact arm arranged at the bottom of the extension block. The detection component tests the conductive performance of the surge protector connection base by inserting the contact arm into the conductive terminal of the surge protector connection base. The detection component is also provided with an interactive element. When the detection component is located directly above the conductive terminal of the surge protector connection base through the judgment of the image acquisition module and the concavity acquisition module, the interactive element is used to indicate whether the contact arm is located above the terminal of the surge protector connection base.

2. The reliability detection device for the surge protector connector according to claim 1, characterized in that: The mounting seat is provided with a cross bar, the sliding block is sleeved on the cross bar, a sliding groove is provided on the front side of the sliding block, and a protrusion matched with the sliding groove is provided on the extension block.

3. The reliability detection device for the surge protector connector according to claim 2, characterized in that: A first fastener is provided on the top of the sliding block for fixing the position of the sliding block, and a second fastener is provided on the front side of the extending block for fixing the position of the extending block.

4. The reliability detection device for the surge protector connector according to claim 2, characterized in that: A first power member is provided on the side of the mounting seat, and the first power member is used to drive the detection component to move laterally. A second power member is also provided on the top of the mounting seat, and the second power member is located above the extension block and is used to drive the extension block to move up and down.

5. A surge protector connection socket reliability detection method, characterized in that: Based on the reliability detection device of the surge protector connector according to any one of claims 1 to 4, the reliability detection method of the surge protector connector comprises: Obtaining a top view of a surge protector connector, extracting an edge image of the top view of the surge protector connector, extracting a hyperspectral image of the surge protector connector based on light reflectivity, and obtaining a rough position of a groove of the surge protector connector; Processing the edge image based on a gradient algorithm, optimizing the hyperspectral image based on radiation correction, and fusing the processed edge image and the optimized hyperspectral image to generate a comparison image; Based on the concavity acquisition module, the thickness and concavity data of the surge protector connector are obtained to obtain the concavity characteristic value; The concavity characteristic value is analyzed to obtain the concavity abnormality characteristic and matched with the comparison image to generate the position parameter and caliber parameter of the terminal slot.

6. The surge protector connection socket reliability detection method according to claim 5, characterized in that: The reliability detection method of the surge protector connection socket also includes: Based on the Canny algorithm, the edge image is first Gaussian blurred to suppress the noise of high-frequency signals; then the Sobel operator is used to calculate the gradient size and direction; then the edge image is non- The maximum pixel gradient is suppressed. If it is an extreme value, the pixel is retained as an edge point. If not, it is suppressed and not regarded as an edge point.

7. The surge protector connection socket reliability detection method according to claim 6, characterized in that: Performing threshold hysteresis processing on the edge image, defining a high threshold and a low threshold, pixel points with gradient intensity lower than the low threshold are suppressed and not regarded as edge points, pixel points with gradient intensity higher than the high threshold are defined as strong edges and retained as edge points, and pixel points between the high and low thresholds are defined as weak edges and reserved for further processing; Then, isolated weak edge suppression is performed on the edge image. For each weak edge in the result of the previous step, if one of the surrounding 8 adjacent pixels is a strong edge, the weak edge is considered to be a strong edge, otherwise it is regarded as an isolated point and discarded.

8. The surge protector connection socket reliability detection method according to claim 5 or 7, characterized in that: In the hyperspectral image, any pixel is selected as the pixel to be measured; in a preset neighborhood centered on the pixel to be measured, the spectral difference of the pixel to be measured is obtained according to the similarity between the spectral data of the pixel to be measured and all the corresponding neighboring pixels; the spectral deviation coefficient of the pixel to be measured is obtained according to the fluctuation change between the spectral data of the pixel to be measured and all the corresponding neighboring pixels; the abnormal factor of the pixel to be measured is obtained according to the similarity of the change trend between the spectral data of the pixel to be measured and all the neighboring pixels; Then, the processed edge image and the abnormal factor are fused to generate a comparison image.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the surge protector connection socket reliability detection method described in any one of claims 5-8 are implemented.

10. An execution device, comprising an execution device body and a controller, characterized in that: The controller includes a processor and a computer program stored in a memory and executable on the processor. When the processor executes the program, the steps of the surge protector connector reliability detection method described in any one of claims 5 to 8 are implemented.

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