A method, device and system for quickly identifying terminal connection status

Abstract

The present application relates to the field of image recognition technology, and specifically to a method, device and system for quickly identifying the connection status of a terminal, the method comprising: obtaining two images of a high-current terminal; obtaining a grayscale image of the high-current terminal of the corresponding image according to the color characteristics of the high-current terminal; obtaining a binary mask image after threshold segmentation, and obtaining several connection areas of the high-current terminal of various images; obtaining the interval distance of the connection area according to the distance distribution between the connection areas; selecting the central connection area, screening the connection area, and obtaining the conductive bare leakage area of ​​the visible light image; based on the conductive bare leakage area of ​​the two images, identifying the connection status of the corresponding conductive bare leakage area. The present application aims to avoid the image quality problem of over-reliance on matching templates in the traditional detection process, and effectively improve the accuracy of the terminal connection status recognition process.

Description

Technical Field

[0001] The present application relates to the field of image recognition technology, and in particular to a method, device and system for quickly identifying terminal connection status. Background Art

[0002] Terminals are electrical devices that connect power supplies, motors, transformers and other related high-power devices. With the continuous development of new energy vehicles, different from the requirements of the internal electrical properties of traditional fuel vehicles, new energy vehicles have higher current and voltage requirements during normal operation. Therefore, high-current terminals play an important role in carrying the large current of the vehicle and ensuring power safety. Because high-current terminals have excellent high-voltage and high-current capabilities and connection reliability, they are also widely used in power systems, industrial equipment, aerospace, transportation and other related fields.

[0003] Plug-in high-current terminals are a type of terminal structure product commonly used in new energy vehicles. If the terminal connection status is abnormal, it will lead to the risk of overheating failure in the high-voltage and high-current system of new energy vehicles. In severe cases, it may even easily cause high temperature or combustion safety accidents. Therefore, it is necessary to focus on analyzing and monitoring the safety testing process in the production process of high-current terminals. Visible light and infrared image registration analysis methods are usually used to detect the terminal connection status of electrical equipment. This method requires that the terminal image to be detected be compared and analyzed with the electrical components in a known normal state. The accuracy of the connection status recognition result is largely affected by the quality of the normal electrical component image. Summary of the invention

[0004] In view of the above, it is necessary to provide a method, device and system for quickly identifying the terminal connection status to solve the above problems.

[0005] According to one aspect of the present application, a method for quickly identifying a terminal connection state is provided, the method comprising:

[0006] Acquire two types of images of high current terminals, including visible light images and infrared images;

[0007] According to the color characteristics of the high-current terminal, the weights of the RGB color channels of various images are restricted to obtain the grayscale image of the high-current terminal of the corresponding image;

[0008] Perform threshold segmentation on each grayscale image to obtain a binary mask image, and combine the corresponding images to obtain several connection areas of high current terminals of various images;

[0009] Based on various images, the spacing distance between each connection area is obtained according to the distance distribution between each connection area and all other connection areas; based on the spacing distance, a central connection area is selected, and the connection areas are screened to obtain the conductive bare leakage areas of various images;

[0010] Based on the conductive bare drain areas in the two images, a connection state of the corresponding conductive bare drain area is identified.

[0011] The restriction on the weights of the RGB color channels of various images is specifically as follows: the weights of the R channel and the G channel are greater than the weight of the B channel.

[0012] The several connection areas of the high current terminal for obtaining various images are specifically:

[0013] The binary mask image is multiplied by the visible light image of the large current terminal to obtain a connection state image of the large current terminal, wherein the connection state image includes a plurality of connection areas.

[0014] The obtained spacing distances of the connection areas are specifically:

[0015] The distance measures between the pixels in each connected area and the remaining connected areas are merged to obtain the regional distance between each connected area and the remaining connected areas; the average level of the regional distance between each connected area and all the remaining connected areas is calculated as the interval distance between each connected area.

[0016] The central connection area is specifically a connection area corresponding to the minimum value of the interval distance.

[0017] Wherein, the obtaining of various images of the conductive bare leakage area includes:

[0018] For various images, the central pixel points of all connected areas are obtained, and the average level of the distance measurement between the central pixel points of all connected areas and the central pixel point of the central connected area is used as the judgment threshold;

[0019] The connection area whose distance measurement from the central pixel point of the central connection area is greater than the determination threshold is regarded as the conductive bare leakage area of ​​various images.

[0020] The identification of the connection state of the corresponding conductive bare leakage area is specifically:

[0021] Compare the areas occupied by each conductive bare leakage region in the visible light image with the corresponding conductive bare leakage region in the infrared image to obtain the overlap degree of each conductive bare leakage region in the visible light;

[0022] The conductive bare leakage area with a coincidence degree higher than a preset coincidence threshold is judged as an abnormal terminal connection area; otherwise, the conductive bare leakage area is judged as a normal terminal connection area.

[0023] The overlap degree of each conductive bare leakage area in the visible light is specifically the ratio of the number of all pixel points in each conductive bare leakage area in the visible light image and the number of all pixel points in the corresponding conductive bare leakage area in the infrared image.

[0024] According to another aspect of the present application, a system for quickly identifying a terminal connection state is provided, comprising:

[0025] A high current terminal image acquisition module is used to acquire two images of the high current terminal, including: a visible light image and an infrared image;

[0026] The high-current terminal connection area recognition module is used to limit the weights of the RGB color channels of various images according to the color characteristics of the high-current terminals to obtain the grayscale images of the high-current terminals of the corresponding images; threshold segmentation is performed on each grayscale image to obtain a binary mask image, and combined with the corresponding images, several connection areas of the high-current terminals of various images are obtained;

[0027] A high-current terminal connection status preliminary judgment module is used to obtain the spacing distance of each connection area based on various images and the distance distribution between each connection area and all other connection areas; select the central connection area based on the spacing distance, screen the connection areas, and obtain the conductive bare leakage area of ​​various images;

[0028] The high current terminal connection state final judgment module is used to identify the connection state of the corresponding conductive bare leakage area based on the conductive bare leakage area in the two images.

[0029] According to another aspect of the present application, a device for quickly identifying terminal connection status is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements operations corresponding to the above-mentioned method for quickly identifying terminal connection status when executing the computer program.

[0030] In the above scheme, two images of the high-current terminal are obtained, including: a visible light image and an infrared image, and the two images are analyzed. The grayscale image is obtained in combination with the color characteristics of the high-current terminal. The beneficial effect is that by optimizing the color weight in the grayscale process of the terminal image, the visual effect of the terminal connection part in the image is optimized to meet the analysis requirements; a binary mask image is obtained, and several connection areas of the high-current terminal of various images are further obtained. The beneficial effect is that the information of the terminal connection part in the original image is selectively retained or enhanced; the interval distance of the connection area is obtained, and the beneficial effect is that the overall distribution characteristics of the high-current terminal connection area are measured; the center is selected according to the interval distance The conductive bare leakage area is obtained by combining the distribution of other connection areas. The beneficial effect is that according to the regional distribution characteristics when the terminal has abnormal connection, the accurate conductive bare leakage area is obtained, and the problem of misjudgment of the connection area caused by the error introduced in the grayscale process is solved; further, the temperature change characteristics at the conductive connection part of the terminal are used, combined with the infrared image to assist in identifying the terminal connection status, so as to improve the accuracy of identifying the abnormal terminal connection status, avoid the image quality problem of over-reliance on matching templates in the traditional detection process, especially when comparing and analyzing with the normal state image, relying on the defects of the standard template image quality, and effectively improve the accuracy of the terminal connection status identification process. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 A flowchart of the steps of a method for quickly identifying the terminal connection status provided by the present application;

[0032] Figure 2 A block diagram of a system for quickly identifying terminal connection status provided in this application. DETAILED DESCRIPTION

[0033] In the description of the embodiments of the present application, words such as "exemplary", "or", "for example" and the like are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" 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 "exemplary", "or", "for example" and the like is intended to present related concepts in a concrete manner.

[0034] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art in the present application. The terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application.

[0035] It should also be noted that the terms "first" and "second" in this application and the accompanying drawings are used to distinguish similar objects, rather than to describe a specific order or sequence. The method disclosed in the embodiments of the present application or the method shown in the flowchart includes one or more steps for implementing the method. Without departing from the scope of the present application, the execution order of multiple steps can be interchanged with each other, and some steps can also be deleted.

[0036] See also Figure 1 , which shows a flowchart of a method for quickly identifying a terminal connection state provided by an embodiment of the present application, the method comprising the following steps:

[0037] Step 1: Obtain two images of the high current terminal, including: a visible light image and an infrared image.

[0038] The production technology of high-current terminals includes raw material processing, stamping and laminating, electroplating and final product testing. In order to achieve product safety and reliability issues in the process of miniaturization and lightweighting of high-current terminals. Under normal operation, the temperature rise of high-current terminal products during use will not exceed 55 degrees Celsius, and the normal working temperature range is , which is very consistent with the working range of ordinary infrared thermal imaging instruments, so infrared thermal imaging instruments are selected to test high-current terminal products.

[0039] As an embodiment of the present application, the specific method of obtaining the visible light image and infrared image of the high current terminal product is:

[0040] After the infrared thermal imager and industrial CCD camera are turned on, wait for 1 minute and start collecting images after the images are stable. Take the time interval as T, and collect the visible light image and infrared image of the high current terminal once every T time interval. Among them, the time interval T is 1min; the implementer can adjust it by himself, and this application does not limit it.

[0041] During the acquisition of visible light images and infrared images of high current terminals, due to the interference of natural scene factors in the detection environment, the obtained visible light images and infrared images of high current terminals may have too many noise points and poor overall image quality. Therefore, in order to reduce or even eliminate the impact of unclear interference noise points in the image on the subsequent analysis process as much as possible. The visible light image and infrared image of the high current terminal are respectively used as the input of the Gaussian filter to obtain the denoised visible light image and infrared image of the high current terminal.

[0042] In some possible implementations, reducing or even eliminating the interference noise in the image can be achieved by other filters. In some other embodiments, a mean filter is used to denoise the image. The implementer can select a suitable image processing method to denoise the image according to the specific situation, and this application does not make any specific restrictions.

[0043] Since the devices used in the acquisition process of the infrared image and visible light image of the high current terminal are different, the actual position of the object in the two images will also be offset. Therefore, the infrared image and visible light image of the high current terminal are firstly registered. Image registration is a common technology in the field of image processing. It is used to match the image positions obtained by two different devices so that the two images collected are images of the same area, and the pixels in the images correspond one to one. Its specific implementation process is a well-known technology and will not be repeated in this application.

[0044] Step 2: According to the color characteristics of the high current terminal, the weights of the RGB color channels of various images are restricted to obtain the grayscale image of the high current terminal of the corresponding image.

[0045] In order to meet the requirements of electrical conductivity of pluggable high-current terminals, the contact materials of high-current terminals are mostly composite metal materials. Composite metal materials are different from the insulating layer materials of high-current terminals and have a more obvious metallic luster. For high-current terminals in an abnormal state, in their visible light images, the surface color will be significantly different from the surrounding insulating layer; in the infrared image of the high-current terminal, the pixel values ​​in the abnormal connection area are higher, indicating that the temperature in this area is also higher. Based on this, the process of analyzing the visible light image and infrared image of the high-current terminal is the same, and this application uses the visible light image as an example for analysis.

[0046] The visible light image of the high current terminal obtained by the industrial CCD camera is an RGB three-channel image. The surface gloss of the composite metal material at the conductive connection position of the high current terminal will be greatly different from the RGB value of the image at the insulating layer position of the high current terminal under the numerical expression of the RGB three-channel image.

[0047] It should be noted that since the conductive connection parts of the high-current terminals are mostly made of tin bronze, beryllium bronze, and copper, which are different from the black insulating layer materials of the high-current terminals, their surfaces are copper-yellow. The R channel and G channel values ​​of the metal connection parts at the conductive connection parts of the high-current terminals in the visible light image will be significantly higher than the B channel value.

[0048] First, the visible light image of the high current terminal is grayed out, and the gray value at each pixel position in the image is equal to the weighted sum of the values ​​of the three different channels, R channel, G channel and B channel, at the pixel position.

[0049] In this embodiment, when the weighted sum is performed on the visible light image of the high current terminal, the preset weights corresponding to the three different channels of R, G, and B are 0.5152, 0.4126, and 0.0722, respectively. The three channels of RGB at each pixel point in the visible light image of the high current terminal are multiplied by the preset weights to obtain the grayscale value of the corresponding pixel point, and the grayscale image of the high current terminal of the corresponding image is obtained.

[0050] In some embodiments, when performing weighted summation on the visible light image of the high current terminal, the preset weights corresponding to the three different channels of R, G, and B are 0.299, 0.578, and 0.114, respectively, which are set according to the different sensitivities of the human eye to the three different color channels.

[0051] Therefore, the color features of the conductive connection positions in the grayscale image of the high current terminal are highlighted by adjusting the weights of the corresponding color channels, thereby improving the accuracy of detecting the conductive connection positions in the visible light image of the high current terminal.

[0052] Step 3: Perform threshold segmentation on each grayscale image to obtain a binary mask image, and combine it with the corresponding image to obtain several connection areas of the high current terminals of various images.

[0053] Since there is a big difference between the material of the conductive connection part of the large current terminal and the material of the insulating part, the grayscale value of the conductive connection part of the large current terminal will be relatively large in the grayscale image of the large current terminal. Therefore, the change pattern of the pixel value is analyzed in combination with the grayscale image of the large current terminal.

[0054] The grayscale image of the high current terminal is used as the input of the Otsu threshold OTSU algorithm to obtain a binary mask image of the high current terminal, and obtain a foreground area and a background area; in the binary mask image, the pixel value of the pixel point in the foreground area is 1, and the pixel value of the pixel point in the background area is 0. Among them, the Otsu threshold OTSU algorithm is an existing well-known technology, and this application will not repeat it.

[0055] In the process of graying the visible light image of the high current terminal, there is no one-to-one correspondence between the pixels in the foreground area and the pixels at the conductive connection material position. In the visible light image of the high current terminal, the values ​​of the three RGB channels at different pixel positions are different. After graying, the gray values ​​of some pixels may be the same as the gray values ​​of the pixels at the conductive connection position of the high current terminal, resulting in a discrepancy between the area in the binary mask image of the high current terminal connection position and the actual situation.

[0056] In view of the low regional accuracy in the binary mask image, the binary mask image is corrected in combination with the visible light image of the high current terminal. The specific operation is: multiplying the binary mask image with the visible light image of the high current terminal to obtain the connection status image of the high current terminal, which contains several connection areas.

[0057] Among them, multiplying the two images can selectively retain or enhance the information of a specific area in the visible light image, and whether the conductive connection on the surface of the high-current terminal is abnormal in the connection area can be judged.

[0058] Step 4: Based on various images, the spacing distance between each connection area is obtained according to the distance distribution between each connection area and all other connection areas; based on the spacing distance, the central connection area is selected, and the connection areas are screened to obtain the conductive bare leakage areas of various images.

[0059] Typically, in visible light images, when a plug-in high-current terminal connection is abnormal, bare leakage may occur at the conductive connection. Such bare leakage usually indicates poor or damaged physical contact between conductors or between conductors and insulators, resulting in a reduction in current contact area or local arc discharge. These connection areas are relatively small and distributed more concentratedly.

[0060] Therefore, the spacing distance of each connection area can be obtained based on the distance distribution between each connection area and all other connection areas: for each connection area in the connection status image of the high current terminal, the distance measurements of each connection area and all corresponding pixels in the other connection areas are fused, and the average level of the fusion results of each connection area and all other connection areas is calculated as the spacing distance of each connection area.

[0061] It should be noted that the corresponding pixel points of two connected areas are two pixel points with the same sequence number from left to right and from top to bottom in the two connected areas.

[0062] In this embodiment, the spacing distance of the i-th connection area in the surface state connection image of the large current terminal is The formula form is: ; Wherein, N represents the total number of connection areas in the surface state connection image of the high current terminal, j represents the sequence number of the connection area, minpx represents the minimum value of the total number of pixels between the i-th and j-th connection areas, represents the Euclidean distance function, , Represent the coordinates of the k-th pixel point in the ith and j-th connected areas respectively; Denoted as the region distance between the i-th and j-th connected regions.

[0063] At this point, the spacing distances of all connection areas in the connection image of the surface state of the high-current terminal are obtained, and the connection area corresponding to the minimum spacing distance is selected as the central connection area.

[0064] The central pixel points of all connection areas are obtained, and the average level of the distance measurement between the central pixel points of all connection areas and the central pixel point of the central connection area is used as the judgment threshold; the connection area whose distance measurement with the central pixel point of the central connection area is greater than the judgment threshold is regarded as the conductive bare leakage area of ​​the large current terminal; otherwise, the connection area is an error area.

[0065] In obtaining the judgment threshold in this embodiment, the distance measurement between the central pixels is calculated using the Euclidean distance, and the average level is obtained by calculating the average value; in other embodiments, Manhattan distance can be used instead of Euclidean distance, and the median can be used instead of the average value.

[0066] It should be understood that when the high current terminal is in an abnormal connection state, bare leakage occurs in its conductive connection part. At this time, the distribution of these conductive connection bare leakage areas is relatively concentrated. Therefore, the abnormal connection area is eliminated by calculating the judgment threshold, so as to obtain a more accurate conductive connection abnormal area, that is, the conductive bare leakage area.

[0067] The infrared image of the high-current terminal is processed using the process described in steps 2 to 4 to obtain the conductive bare leakage area of ​​the high-current terminal of the infrared image.

[0068] Step 5: Based on the conductive bare leakage areas in the two images, identifying the connection status of the corresponding conductive bare leakage areas.

[0069] During the visible light image acquisition process, the natural environment lighting affects the conductive bare leakage area of ​​the high current terminal. At the same time, when the high current terminal with abnormal connection is in operation, the temperature of the abnormal area will rise. Based on this, auxiliary analysis and judgment are performed in combination with the infrared image of the high current terminal.

[0070] The conductive bare leakage areas where the pixel position coordinates in the two images intersect are taken as corresponding areas; the ratio of the number of all pixels in each conductive bare leakage area in the visible light image to the corresponding conductive bare leakage area in the infrared image is calculated as the overlap degree of each conductive bare leakage area in the visible light image, and the conductive bare leakage areas with overlap degrees higher than the preset overlap threshold are judged as abnormal terminal connection areas; otherwise, the conductive bare leakage areas are judged as normal terminal connection areas.

[0071] In this embodiment, the preset overlap threshold is 0.9, and the implementer can adjust it according to the actual situation.

[0072] Based on the same concept as the method embodiment of the present application, a system for quickly identifying the terminal connection status is proposed, comprising:

[0073] A high current terminal image acquisition module is used to acquire two images of the high current terminal, including: a visible light image and an infrared image;

[0074] The high-current terminal connection area recognition module is used to limit the weights of the RGB color channels of various images according to the color characteristics of the high-current terminals to obtain the grayscale images of the high-current terminals of the corresponding images; threshold segmentation is performed on each grayscale image to obtain a binary mask image, and combined with the corresponding images, several connection areas of the high-current terminals of various images are obtained;

[0075] A high-current terminal connection status preliminary judgment module is used to obtain the spacing distance of each connection area based on various images and the distance distribution between each connection area and all other connection areas; select the central connection area based on the spacing distance, screen the connection areas, and obtain the conductive bare leakage area of ​​various images;

[0076] The high current terminal connection state final judgment module is used to identify the connection state of the corresponding conductive bare leakage area based on the conductive bare leakage area in the two images.

[0077] Among them, a block diagram of a terminal connection status rapid identification system, such as Figure 2 shown.

[0078] Based on the same concept as the method embodiment of the present application, a device for quickly identifying the terminal connection status is proposed, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the operations corresponding to the above-mentioned method for quickly identifying the terminal connection status.

[0079] In summary, two images of high-current terminals are obtained, including visible light images and infrared images. The two images are analyzed, and a grayscale image is obtained in combination with the color features of the high-current terminals. The beneficial effect is that the visual effect of the terminal connection parts in the image is optimized by optimizing the color weights in the grayscale process of the terminal image to meet the analysis requirements; a binary mask image is obtained, and several connection areas of the high-current terminals of various images are further obtained. The beneficial effect is that the information of the terminal connection parts in the original image is selectively retained or enhanced; the interval distance of the connection area is obtained, and the beneficial effect is that the overall distribution characteristics of the connection area of ​​the high-current terminal are measured; the center connection area is selected according to the interval distance. The conductive bare leakage area is obtained by combining the distribution of other connection areas. The beneficial effect is that according to the regional distribution characteristics when the terminal has abnormal connection, the accurate conductive bare leakage area is obtained, and the problem of the connection area being misjudged due to the error introduced in the grayscale process is solved; further, the temperature change characteristics at the conductive connection part of the terminal are used, combined with the infrared image to assist in identifying the terminal connection status, so as to improve the accuracy of identifying the abnormal terminal connection status, avoid the image quality problem of over-reliance on matching templates in the traditional detection process, especially the defect of relying on the image quality of standard templates when comparing and analyzing with the normal state image, and effectively improve the accuracy of the terminal connection status identification process.

[0080] It should be noted that the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the system, method and computer program product according to the embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in an order different from that disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

[0081] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for quickly identifying the connection status of a terminal, characterized in that: The method comprises the following steps: Acquire two types of images of high current terminals, including visible light images and infrared images; According to the color characteristics of the high-current terminal, the weights of the RGB color channels of various images are restricted to obtain the grayscale image of the high-current terminal of the corresponding image; Perform threshold segmentation on each grayscale image to obtain a binary mask image, and combine the corresponding images to obtain several connection areas of high current terminals of various images; Based on various images, the spacing distance between each connection area is obtained according to the distance distribution between each connection area and all other connection areas; based on the spacing distance, a central connection area is selected, and the connection areas are screened to obtain the conductive bare leakage areas of various images; Based on the conductive bare drain areas in the two images, identifying a connection state of the corresponding conductive bare drain areas; The obtained spacing distances of the connection areas are specifically: The distance measures between the pixels in each connected area and the other connected areas are merged to obtain the area distance between each connected area and the other connected areas; the average level of the area distance between each connected area and all the other connected areas is calculated as the interval distance between each connected area; The central connection area is specifically the connection area corresponding to the minimum value of the interval distance; The conductive bare leakage area of ​​various images is obtained, including: For various images, the central pixel points of all connected areas are obtained, and the average level of the distance measurement between the central pixel points of all connected areas and the central pixel point of the central connected area is used as the judgment threshold; The connection area whose distance measurement from the central pixel point of the central connection area is greater than the determination threshold is regarded as the conductive bare leakage area of ​​various images; The several connection areas of the high current terminal of the various images are specifically: Multiplying the binary mask image with various images of the high-current terminal to obtain connection state images of the high-current terminal in the various images, wherein the connection state images include a plurality of connection areas; The identification of the connection state of the corresponding conductive bare leakage area is specifically as follows: Compare the areas occupied by each conductive bare leakage region in the visible light image with the corresponding conductive bare leakage region in the infrared image to obtain the overlap degree of each conductive bare leakage region; The conductive bare leakage area with a coincidence degree higher than a preset coincidence threshold is judged as an abnormal terminal connection area; otherwise, the conductive bare leakage area is judged as a normal terminal connection area.

2. A method for quickly identifying a terminal connection state as claimed in claim 1, characterized in that: The restriction on the weights of the RGB color channels of various images is specifically as follows: the weights of the R channel and the G channel are greater than the weight of the B channel.

3. A method for quickly identifying a terminal connection state as claimed in claim 1, characterized in that: The overlap degree of each conductive bare leakage area is specifically the ratio of the number of all pixel points in each conductive bare leakage area in the visible light image to the number of all pixel points in the corresponding conductive bare leakage area in the infrared image.

4. A system for quickly identifying the terminal connection status, implementing the method as claimed in claim 1, characterized in that: The system includes: A high current terminal image acquisition module is used to acquire two images of the high current terminal, including: a visible light image and an infrared image; The high-current terminal connection area recognition module is used to limit the weights of the RGB color channels of various images according to the color characteristics of the high-current terminals to obtain the grayscale images of the high-current terminals of the corresponding images; threshold segmentation is performed on each grayscale image to obtain a binary mask image, and combined with the corresponding images, several connection areas of the high-current terminals of various images are obtained; A high-current terminal connection status preliminary judgment module is used to obtain the spacing distance of each connection area based on various images and the distance distribution between each connection area and all other connection areas; select the central connection area based on the spacing distance, screen the connection areas, and obtain the conductive bare leakage area of ​​various images; The high current terminal connection state final judgment module is used to identify the connection state of the corresponding conductive bare leakage area based on the conductive bare leakage area in the two images.

5. A device for quickly identifying a terminal connection state, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, operations corresponding to a method for quickly identifying a terminal connection state as described in any one of claims 1 to 3 are implemented.

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