GIS switch contact identification method and device based on mixed wave band light source illumination technology

Abstract

The invention relates to a GIS switch contact identification method and device based on a mixed wave band light source illumination technology. GIS switch contact images under different wave band light sources are collected, the collected images are processed and fused, the overall image quality and detail performance are optimized, the fused images are subjected to image identification processing, and a feature map is obtained; the state of the switch can be analyzed and judged according to the number and the positions of the identification lines on the feature map; if the identification lines do not exist in the feature map, the switch is in an opening state at the moment; if one identification line exists in the feature map, the switch is in a fault state at the moment; and if two identification lines exist in the feature map, determining the area proportion of the identification lines occupying the identification line region feature image, determining the position stroke of the identification lines relative to the moving contact, and determining whether the GIS switch is closed in place according to the area proportion and the position stroke. According to the method provided by the invention, the state of the GIS switch can be accurately identified.

Description

Technical Field

[0001] The present application relates to the technical field of electric power grids, and in particular to a GIS switch contact identification method and device based on mixed-band light source lighting technology. Background Art

[0002] As the power system's requirements for reliability and safety increase, GIS equipment, as the core equipment in the high-voltage power system, has a direct impact on the stable operation of the entire power system through its performance and stability. The correct identification of the switch contact position in real time can ensure the safe operation of GIS equipment in various operating states and prevent equipment damage or power system failures caused by misoperation.

[0003] The density of SF6 (sulfur hexafluoride) is five times that of air. It is widely used in GIS equipment due to its excellent insulation and arc extinguishing properties. Therefore, GIS equipment has high-voltage characteristics and tight sealing in a closed and narrow space. Therefore, in the traditional manual inspection process, the indication values ​​of the SF6 density meter and pressure gauge are mainly visually checked, the temperature of the busbar exposed to the outside and the appearance of the equipment are checked, so as to monitor the overall operation, abnormality or fault status of the GIS equipment, but the opening and closing status of the switch contacts of the GIS equipment cannot be automatically identified. With the development of computer vision, the detection of the opening and closing status of switches usually adopts image recognition technology, which can be used to collect, analyze and process images of switches in different states, and finally obtain the actual opening and closing status. However, it is difficult for the commonly used image recognition technology to accurately observe the status of the disconnector and grounding switch in the high-density medium SF6 through the observation window in a dim environment. Therefore, the research on GIS switch contact position recognition technology is crucial to ensure the safe operation of the power system. Summary of the invention

[0004] In order to overcome at least one deficiency in the prior art, the present application provides a GIS switch contact identification method and device based on mixed-band light source lighting technology.

[0005] In a first aspect, a GIS switch contact identification method based on a mixed-band light source lighting technology is provided, comprising:

[0006] Acquire monitoring images of GIS switch contacts under illumination of light sources in different wavelength bands;

[0007] Decompose the surveillance images illuminated by light sources of different bands to obtain a base layer, a detail layer and a salient layer; fuse the base layer, detail layer and salient layer corresponding to the surveillance images illuminated by light sources of different bands to obtain a fused image;

[0008] A standard closed image without identification lines when the switch is fully closed is obtained, and an image of the identification line area on the contact is obtained based on the standard closed image without identification lines when the switch is fully closed and the fused image, and the image of the identification line area on the contact is binarized and morphologically processed to extract a feature image of the identification line area; the standard closed image without identification lines when the switch is fully closed includes a static contact area, a moving contact area, and a connecting rod area;

[0009] Judging whether there is an identification line based on the characteristic image of the identification line area, if not, it is determined that the GIS switch is in the open state, if it exists, further judging the number of identification lines, if there is one identification line, it is determined that the GIS switch is in a fault state, if there are two identification lines, then determining the area ratio of the identification line to the characteristic image of the identification line area, and determining the position travel of the identification line relative to the moving contact, and determining whether the GIS switch is in the closed state based on the area ratio and the position travel.

[0010] In one embodiment, an image of the area with identification lines on the contact is obtained based on a standard closed image without identification lines and a fused image when the switch is in place, including:

[0011] Perform image enhancement on the standard combined image and the fused image without identification lines when the switch is in place, and obtain an enhanced standard combined image and an enhanced fused image;

[0012] The superpixel fuzzy clustering algorithm is used to perform clustering processing on the standard composite image after image enhancement and the fused image after image enhancement to obtain the clustered standard composite image and the clustered fused image;

[0013] The standard combined image after clustering and the fused image after clustering are subjected to difference processing to obtain an image of the identification line area on the contact.

[0014] In one embodiment, determining the position travel of the identification line relative to the moving contact includes:

[0015] Obtain the characteristic diagram of the moving contact in the closed state;

[0016] Calculate the pixel distance between the identification line and the moving contact feature map;

[0017] Based on the dimensional relationship obtained by visual calibration, the pixel point distance is converted into the distance of the actual world coordinate system, that is, the position travel of the identification line relative to the moving contact.

[0018] In one embodiment, obtaining a characteristic diagram of a moving contact in a closed state includes:

[0019] Acquire a contact image and a standard sub-image; the contact image includes a stationary contact area, and the standard sub-image is a contact image in a closed state, including a stationary contact area and a moving contact area;

[0020] Performing image enhancement on the standard sub-image and the contact image to obtain an image-enhanced standard sub-image and an image-enhanced contact image;

[0021] The enhanced standard sub-image and the enhanced contact image are processed by using a super-pixel fuzzy clustering algorithm to obtain a clustered standard sub-image and a clustered contact image;

[0022] The clustered standard image and the clustered contact image are subjected to difference processing to obtain an image of the moving contact area;

[0023] The image of the moving contact area is binarized and morphologically processed to extract the moving contact feature map.

[0024] In one embodiment, determining whether the GIS switch is fully closed according to the area ratio and the position travel includes:

[0025] The error between the calculated area ratio and the area ratio when the switch is fully closed;

[0026] If the error is greater than the set error threshold and the position travel is less than the set distance threshold, it is determined that the GIS switch is not fully closed; otherwise, it is determined that the GIS switch is fully closed.

[0027] In one embodiment, the light sources of different wavelength bands include white light and yellow light.

[0028] In a second aspect, a GIS switch contact identification device based on a mixed-band light source lighting technology is provided, comprising:

[0029] An image acquisition module is used to acquire monitoring images of GIS switch contacts under illumination of light sources of different wavelengths; the light sources of different wavelengths include white light and yellow light;

[0030] The image decomposition and fusion module is used to decompose the surveillance images illuminated by light sources of different bands to obtain the basic layer, detail layer and significant layer; the basic layer, detail layer and significant layer corresponding to the surveillance images illuminated by light sources of different bands are fused to obtain a fused image;

[0031] The identification line area feature image acquisition module is used to obtain a standard closing image without identification lines when the switch is in place, obtain an image of the identification line area on the contact based on the standard closing image without identification lines when the switch is in place and the fused image, and perform binarization and morphological processing on the image of the identification line area on the contact to extract the identification line area feature image; the standard closing image without identification lines when the switch is in place includes a static contact area, a moving contact area and a connecting rod area;

[0032] The judgment module is used to judge whether there is an identification line based on the characteristic image of the identification line area. If not, it is determined that the GIS switch is in the open state. If it exists, the number of identification lines is further judged. If there is one identification line, it is determined that the GIS switch is in a fault state. If there are two identification lines, the area ratio of the identification line to the characteristic image of the identification line area is determined, and the position stroke of the identification line relative to the moving contact is determined. According to the area ratio and the position stroke, it is determined whether the GIS switch is in the closed state.

[0033] In a third aspect, a GIS switch contact identification system based on a mixed-band light source lighting technology is provided, comprising: a light source, an industrial camera, and an FPGA;

[0034] The light source is used to provide lighting of different bands to the GIS switch contacts;

[0035] Industrial cameras are used to obtain monitoring images of GIS switch contacts under illumination from light sources of different wavelengths;

[0036] FPGA is used to implement the above-mentioned GIS switch contact identification method based on mixed-band light source lighting technology.

[0037] In one embodiment, the system further includes an LED driver and an MCU. The MCU controls the LED driver through dimming, and the LED driver controls the light source to provide illumination of different wavelength bands to the GIS switch contacts.

[0038] In one embodiment, the system also includes a background monitoring system, and the FPGA sends the obtained GIS switch contact identification results to the background monitoring system, and the background monitoring system displays the GIS switch contact identification results.

[0039] Compared with the prior art, the present application has the following beneficial effects: the GIS switch contact identification method and device based on the mixed-band light source lighting technology of the present application solves the problem in the prior art that the opening and closing state of the switch contact of the GIS device in the high-density medium cannot be automatically and accurately identified under dim conditions; by collecting images of the GIS switch contact under different band light sources, processing and fusing the collected images, optimizing the overall image quality and detail performance, and then performing image recognition processing on the fused images to obtain a feature map; the switch state can be analyzed and judged according to the number and position of the identification lines on the feature map: if there is no identification line in the feature map, it means that the switch is in the open state at this time; if there is one identification line in the feature map, it means that the switch is in the fault state at this time; if there are two identification lines in the feature map, the area ratio of the identification line to the feature image of the identification line area is determined, and the position travel of the identification line relative to the moving contact is determined, and whether the GIS switch is closed in place is determined according to the area ratio and the position travel. The method of the present application can accurately identify the state of the GIS switch. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present application may be better understood by referring to the following description given in conjunction with the accompanying drawings, which together with the following detailed description are included in this specification and form a part of this specification. In the drawings:

[0041] Figure 1 A flowchart of a GIS switch contact identification method based on mixed-band light source lighting technology according to an embodiment of the present application is shown;

[0042] Figure 2 A schematic diagram of a GIS switch contact identification method based on a mixed-band light source lighting technology according to an embodiment of the present application is shown;

[0043] Figure 3 A flowchart of extracting moving contacts and identification lines is shown;

[0044] Figure 4 A structural block diagram of a GIS switch contact identification device based on a mixed-band light source lighting technology according to an embodiment of the present application is shown;

[0045] Figure 5 A structural block diagram of a GIS switch contact identification system based on mixed-band light source lighting technology according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0046] The exemplary embodiments of the present application will be described below in conjunction with the accompanying drawings. For the sake of clarity and conciseness, not all features of the actual embodiments are described in the specification. However, it should be understood that many implementation-specific decisions can be made in the process of developing any such actual embodiments in order to achieve the specific goals of the developer, and these decisions may vary from embodiment to embodiment.

[0047] It is also necessary to explain here that, in order to avoid obscuring the present application due to unnecessary details, only the device structure closely related to the scheme according to the present application is shown in the drawings, while other details that are not closely related to the present application are omitted.

[0048] It should be understood that the present application is not limited to the described implementation forms due to the following description with reference to the accompanying drawings. In this article, where feasible, the embodiments can be combined with each other, features between different embodiments can be replaced or borrowed, and one or more features can be omitted in one embodiment.

[0049] The present application embodiment provides a GIS switch contact identification method based on mixed-band light source lighting technology. Figure 1A flowchart of a GIS switch contact identification method based on a mixed-band light source lighting technology according to an embodiment of the present application is shown. Figure 1 , methods include:

[0050] Step S1, obtaining monitoring images of GIS switch contacts under illumination by light sources of different wavelength bands.

[0051] Specifically, when collecting images of GIS switch contacts, a design of time-sharing control of illumination of light sources of different wavelengths is adopted. Light sources of different wavelengths can be, for example, white light and yellow light. The reason for collecting images of GIS switch contacts under white light and yellow light sources is that light of different wavelengths has different reflection and absorption characteristics on objects. Combining images of different wavelengths can improve the details and contrast of the image. By selecting yellow light as the light source, the influence of light scattering on image quality in the SF6 environment can be reduced. This is because yellow light belongs to long-wavelength light, which can reduce scattering, improve image contrast, and make image details more obvious; at the same time, it reduces the blur caused by scattering, thereby improving the sharpness of the picture. Less scattering can reduce background noise and enhance the clarity and details of the signal. Using white light illumination can better restore the true color of the object, making the image more natural and accurate. Therefore, the fusion of white light and yellow light illumination images helps to more accurately identify and detect the characteristics of the object and improve the accuracy of switch contact identification and analysis in the SF6 environment.

[0052] The LED driver is driven by time-sharing control to achieve different bands of light source illumination. The control scheme is to achieve fast switching of different bands of LED light sources through precise time division and pulse width modulation (PWM). First, the time is divided into multiple cycles, each cycle corresponds to an LED of a certain color. In each cycle, the LED of the corresponding color is turned on, while the LEDs of other colors remain off. Synchronous control is used to ensure that the switching time of LEDs of different bands will not interfere with each other, and correction is performed through the feedback mechanism of the light sensor.

[0053] The synchronization technology of light source and image mainly relies on precise trigger mechanism and coordinated control system. The core of synchronization technology is the generation and transmission of trigger signal. The trigger signal is an electronic pulse generated by a trigger or synchronization module. This signal will be sent to the light source and image acquisition system at the same time to ensure that they respond at the same time. The transmission of trigger signal requires a high-precision distributor to ensure the synchronization of the signal when it reaches each device. The distributor can copy and transmit a trigger signal to multiple devices while maintaining signal stability and synchronization accuracy. At the software level, the control program is responsible for configuring and managing the synchronization process. The software can set the trigger mode to accurately control the operation timing of the light source and camera. The control program can also monitor the synchronization status in real time and adjust the parameters to adapt to different shooting conditions. For example, the software can preset the brightness level and duration of the light source before the image acquisition starts to ensure that the brightness of the light source reaches the predetermined level at the moment of image exposure.

[0054] Step S2, respectively decompose the monitoring images illuminated by light sources of different bands to obtain a base layer, a detail layer and a saliency layer; fuse the base layer, the detail layer and the saliency layer corresponding to the monitoring images illuminated by light sources of different bands to obtain a fused image.

[0055] Here, the monitoring image is decomposed to obtain a base layer, a detail layer, and a significant layer, and further fused to obtain a fused image. The specific processing process is the prior art. For example, the content of the public patent with application number 202211589011.9 can be adopted, which will not be repeated here.

[0056] In other embodiments, the monitoring image decomposition may specifically include: processing the original image through a mean filter to obtain a base layer. The original image minus the base layer to obtain a detail layer. This step is mainly to decompose the image into a larger area (base layer) and a smaller detail part (detail layer). In order to generate a saliency layer, the image is usually processed using a Laplacian operator and a Gaussian operator. The Laplacian operator is used to extract the edge information of the image, while the Gaussian operator is used to calculate the saliency map. Through these operations, a saliency map can be generated, which reflects the saliency of each area in the image.

[0057] Step S3, obtaining a standard closed image without identification lines when the switch is in place, obtaining an image of the identification line area on the contact based on the standard closed image without identification lines when the switch is in place and the fused image, and binarizing and morphologically processing the image of the identification line area on the contact to extract a feature image of the identification line area; the standard closed image without identification lines when the switch is in place includes a static contact area, a moving contact area and a connecting rod area.

[0058] Step S4, judging whether there is an identification line according to the characteristic image of the identification line area, if not, determining that the GIS switch is in the open state, if it exists, further judging the number of identification lines, if there is one identification line, determining that the GIS switch is in a fault state, if there are two identification lines, determining the area ratio of the identification line occupied by the identification line in the characteristic image of the identification line area, and determining the position travel of the identification line relative to the moving contact, and determining whether the GIS switch is in the closed state according to the area ratio and the position travel. Figure 2 A schematic diagram of a GIS switch contact identification method based on mixed-band light source lighting technology according to an embodiment of the present application is shown.

[0059] This embodiment solves the problem in the prior art that it is impossible to automatically and accurately identify the opening and closing state of the switch contacts of the GIS equipment in the high-density medium under dim conditions; by collecting images of the GIS switch contacts under different bands of light sources, processing and fusing the collected images, optimizing the overall image quality and detail performance, and then performing image recognition processing on the fused images to obtain a feature map; the switch state can be analyzed and judged according to the number and position of the identification lines on the feature map: if there is no identification line in the feature map, it means that the switch is in the open state at this time; if there is one identification line in the feature map, it means that the switch is in the fault state at this time; if there are two identification lines in the feature map, the area ratio of the identification line to the feature image of the identification line area is determined, and the position travel of the identification line relative to the moving contact is determined, and whether the GIS switch is closed in place is determined according to the area ratio and the position travel. The method of the present application can accurately identify the state of the GIS switch.

[0060] In one embodiment, Figure 3 The flowchart of extracting the moving contact and the identification line is shown. In step S3, the image of the identification line area on the contact is obtained according to the standard closed image without the identification line and the fused image when the switch is in place, including:

[0061] Step S31, performing image enhancement on the standard combined image and the fused image without the marking line when the switch is in place, to obtain the enhanced standard combined image and the enhanced fused image.

[0062] Here, the image enhancement can be gamma enhancement, which improves the brightness and contrast of the image by adjusting the gamma curve of the image, corrects underexposed or overexposed pictures, improves the detail expression ability of the image, and improves the color balance of the image, thereby improving the accuracy of GIS switch contact position recognition.

[0063] Step S32, clustering the enhanced standard composite image and the enhanced fused image using a superpixel fuzzy clustering algorithm to obtain a clustered standard composite image and a clustered fused image.

[0064] Here, clustering is performed using a superpixel fuzzy clustering algorithm to group pixels in the image into superpixels, simplifying the image structure into smaller areas that are easier to analyze. This not only helps improve the accuracy of image recognition, but also provides high-quality input for subsequent image difference processing.

[0065] Step S33: performing a difference process on the clustered standard composite image and the clustered fusion image to obtain an image of the identification line area on the contact.

[0066] Here, the image difference is to find the difference between the pixels of the two clustered images, so as to extract the different features of the two images, that is, the image of the identification line area on the contact.

[0067] Furthermore, after acquiring the image of the identification line area on the contact, in addition to the identification line information, there are different noises such as point, line or block in the image. By using threshold binarization and morphological processing, the pixel grayscale values ​​of these noise areas can be reduced to zero to eliminate unnecessary interference.

[0068] In one embodiment, in step S4, determining the position travel of the identification line relative to the moving contact includes:

[0069] Step S41, obtaining a characteristic diagram of the moving contact in a closed state;

[0070] Step S42, calculating the pixel distance between the identification line and the moving contact characteristic map;

[0071] Step S43, based on the size relationship obtained by visual calibration, the pixel point distance is converted into the distance of the actual world coordinate system, that is, the position stroke of the identification line relative to the moving contact.

[0072] Specifically, step S41, see Figure 3 , obtain the moving contact characteristic diagram in the closed state, including:

[0073] Step S411, acquiring a contact image and a standard sub-image; the contact image includes a stationary contact area, and the standard sub-image is a contact image in a closed state, including a stationary contact area and a moving contact area;

[0074] Step S412: Perform image enhancement on the standard sub-image and the contact image to obtain an image-enhanced standard sub-image and an image-enhanced contact image.

[0075] Here, the image enhancement can be gamma enhancement, which improves the brightness and contrast of the image by adjusting the gamma curve of the image, corrects underexposed or overexposed pictures, improves the detail expression ability of the image, and improves the color balance of the image, thereby improving the accuracy of GIS switch contact position recognition.

[0076] Step S413, the image-enhanced standard sub-image and the image-enhanced contact image are processed using a superpixel fuzzy clustering algorithm to obtain a clustered standard sub-image and a clustered contact image.

[0077] Here, clustering is performed using a superpixel fuzzy clustering algorithm to group pixels in the image into superpixels, simplifying the image structure into smaller areas that are easier to analyze. This not only helps improve the accuracy of image recognition, but also provides high-quality input for subsequent image difference processing.

[0078] Step S414: performing difference processing on the clustered standard image and the clustered contact image to obtain an image of the moving contact area.

[0079] Here, the image difference is to find the difference between the pixels of the two clustered images, so as to extract the different features of the two images, that is, the image of the moving contact area.

[0080] Step S415, binarization and morphological processing are performed on the image of the moving contact area to extract the moving contact feature map.

[0081] Here, after acquiring the image of the moving contact area, in addition to the identification line information, there are different noises such as point, line or block in the image. By using threshold binarization and morphological processing, the pixel grayscale values ​​of these noise areas can be reduced to zero to eliminate unnecessary interference.

[0082] In one embodiment, in step S4, determining whether the GIS switch is fully closed according to the area ratio and the position travel includes:

[0083] The error between the calculated area ratio and the area ratio when the switch is fully closed; the area ratio when the switch is fully closed can be determined in advance based on actual conditions.

[0084] If the error is greater than the set error threshold and the position travel is less than the set distance threshold, it is determined that the GIS switch is not fully closed; otherwise, it is determined that the GIS switch is fully closed.

[0085] Here, the error threshold and the distance threshold are set according to actual engineering needs and are not specifically limited.

[0086] Using the same inventive concept as the GIS switch contact identification method based on the mixed-band light source lighting technology, this embodiment also provides a corresponding GIS switch contact identification device based on the mixed-band light source lighting technology. Figure 4 FIG. 1 shows a structural block diagram of a GIS switch contact identification device based on a mixed-band light source lighting technology according to an embodiment of the present application, see FIG. Figure 4 ,include:

[0087] The image acquisition module 41 is used to acquire monitoring images of GIS switch contacts under illumination of light sources of different wavelengths; the light sources of different wavelengths include white light and yellow light;

[0088] The image decomposition and fusion module 42 is used to decompose the monitoring images illuminated by light sources of different wavelength bands to obtain a base layer, a detail layer and a significant layer; and fuse the base layer, detail layer and significant layer corresponding to the monitoring images illuminated by light sources of different wavelength bands to obtain a fused image.

[0089] The identification line area characteristic image acquisition module 43 is used to obtain a standard closing image without identification lines when the switch is in place, obtain an image of the identification line area on the contact according to the standard closing image without identification lines when the switch is in place and the fused image, and perform binarization and morphological processing on the image of the identification line area on the contact to extract the identification line area characteristic image; the standard closing image without identification lines when the switch is in place includes a static contact area, a moving contact area and a connecting rod area;

[0090] The judgment module 44 is used to judge whether there is an identification line based on the characteristic image of the identification line area. If not, it is determined that the GIS switch is in an open state. If it exists, the number of identification lines is further judged. If there is one identification line, it is determined that the GIS switch is in a fault state. If there are two identification lines, the area ratio of the identification line to the characteristic image of the identification line area is determined, and the position travel of the identification line relative to the moving contact is determined. According to the area ratio and the position travel, it is determined whether the GIS switch is in the closed state.

[0091] The GIS switch contact identification device based on mixed-band light source lighting technology of this embodiment has the same inventive concept as the GIS switch contact identification method based on mixed-band light source lighting technology mentioned above. Therefore, the specific implementation method of the device can be seen in the implementation example part of the optimization method of Fourier stack imaging lighting system in the previous text, and its technical effect corresponds to the technical effect of the above method, which will not be repeated here.

[0092] The embodiment of the present application also provides a GIS switch contact identification system based on mixed-band light source lighting technology. Figure 5 FIG. 1 shows a structural block diagram of a GIS switch contact identification system based on a mixed-band light source lighting technology according to an embodiment of the present application, see FIG. Figure 5 ,The system includes: light source, industrial camera, and FPGA.

[0093] The light source is used to provide illumination of light sources of different wavebands to the GIS switch contacts; the GIS switch contacts are arranged in the dielectric window.

[0094] Industrial cameras are used to obtain monitoring images of GIS switch contacts under illumination from light sources of different wavelengths;

[0095] The FPGA is used to implement the GIS switch contact identification method based on the mixed-band light source lighting technology of the aforementioned embodiment.

[0096] Furthermore, the system also includes an LED driver and an MCU (Microcontroller Unit); the MCU controls the LED driver through dimming, and the LED driver controls the light source to provide illumination of different bands of light sources to the GIS switch contacts.

[0097] Furthermore, the system also includes a background monitoring system. The FPGA sends the obtained GIS switch contact identification results to the background monitoring system through the Ethernet module. The background monitoring system displays the GIS switch contact identification results to realize automatic identification of the switch contact position and abnormal alarm.

[0098] Furthermore, the system also includes an isolating switch power supply, which provides power for the industrial camera and LED driver to ensure their normal use.

[0099] In summary, this application has the following technical effects:

[0100] The present application solves the problem in the prior art that the opening and closing states of the switch contacts of GIS equipment in high-density media cannot be automatically and accurately identified under dim conditions; by collecting images of GIS switch contacts under light sources of different wavelengths, processing and fusing the collected images, optimizing the overall image quality and detail performance, and then performing image recognition processing on the fused images to obtain a feature map; the switch state can be analyzed and judged according to the number and position of the identification lines on the feature map: if there is no identification line in the feature map, it means that the switch is in the open state at this time; if there is one identification line in the feature map, it means that the switch is in a fault state at this time; if there are two identification lines in the feature map, the area ratio of the identification line to the feature image of the identification line area is determined, and the position travel of the identification line relative to the moving contact is determined, and whether the GIS switch is closed in place is determined according to the area ratio and the position travel. The method of the present application can accurately identify the state of the GIS switch.

[0101] The above are only various implementations of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A GIS switch contact identification method based on mixed-band light source lighting technology, characterized in that: include: Obtain monitoring images of GIS switch contacts under illumination from light sources of different wavelengths; Decompose the surveillance images illuminated by light sources of different wavelengths to obtain the base layer, detail layer and salient layer; The basic layer, detail layer and saliency layer corresponding to the surveillance images illuminated by light sources of different bands are fused to obtain a fused image; A standard closed image without identification lines when the switch is in place is obtained, an image of the identification line area on the contact is obtained according to the standard closed image without identification lines when the switch is in place and the fused image, and the image of the identification line area on the contact is binarized and morphologically processed to extract a feature image of the identification line area; the standard closed image without identification lines when the switch is in place includes a static contact area, a moving contact area and a connecting rod area; Judging whether there is an identification line based on the characteristic image of the identification line area, if not, determining that the GIS switch is in the open state, if existing, further judging the number of identification lines, if there is one identification line, determining that the GIS switch is in a fault state, if there are two identification lines, determining the area ratio of the identification lines occupying the characteristic image of the identification line area, and determining the position travel of the identification lines relative to the moving contact, determining whether the GIS switch is in the closed state based on the area ratio and the position travel.

2. The method according to claim 1, characterized in that According to the standard closed image without identification line when the switch is in place and the fused image, an image of the identification line area on the contact is obtained, including: Performing image enhancement on the standard closed image without identification lines and the fused image of the closed position to obtain an image-enhanced standard closed image and an image-enhanced fused image; Performing clustering processing on the image-enhanced standard composite image and the image-enhanced fused image using a superpixel fuzzy clustering algorithm to obtain a clustered standard composite image and a clustered fused image; The clustered standard combined image and the clustered fused image are subjected to difference processing to obtain an image of the identification line area on the contact.

3. The method according to claim 1, characterized in that Determine the position of the identification line relative to the moving contact, including: Obtain the characteristic diagram of the moving contact in the closed state; Calculating the pixel distance between the identification line and the moving contact characteristic map; The pixel point distance is converted into a distance in the actual world coordinate system based on the size relationship obtained by visual calibration, that is, the position stroke of the identification line relative to the moving contact.

4. The method according to claim 3, characterized in that The step of obtaining a characteristic diagram of a moving contact in a closed state includes: Acquire a contact image and a standard sub-image; the contact image includes a static contact area, and the standard sub-image is a contact image in a closed state, including a static contact area and a moving contact area; Performing image enhancement on the standard sub-image and the contact image to obtain an image-enhanced standard sub-image and an image-enhanced contact image; The image-enhanced standard sub-image and the image-enhanced contact image are processed using a superpixel fuzzy clustering algorithm to obtain a clustered standard sub-image and a clustered contact image; Performing difference processing on the clustered standard image and the clustered contact image to obtain an image of the moving contact area; The image of the moving contact area is binarized and morphologically processed to extract a moving contact feature map.

5. The method according to claim 1, characterized in that Determining whether the GIS switch is in place according to the area ratio and the position travel includes: Calculate the error between the area ratio and the area ratio when the switch is fully closed; If the error is greater than a set error threshold and the position travel is less than a set distance threshold, it is determined that the GIS switch is not fully closed; otherwise, it is determined that the GIS switch is fully closed.

6. The method according to claim 1, characterized in that The light sources of different wavelength bands include white light and yellow light.

7. A GIS switch contact identification device based on mixed-band light source lighting technology, characterized in that: include: An image acquisition module is used to acquire monitoring images of GIS switch contacts under illumination of light sources of different wavelengths; The light sources of different wavelengths include white light and yellow light; The image decomposition and fusion module is used to decompose the surveillance images illuminated by light sources of different wavelengths to obtain the base layer, detail layer and saliency layer; The basic layer, detail layer and saliency layer corresponding to the surveillance images illuminated by light sources of different bands are fused to obtain a fused image; The identification line area characteristic image acquisition module is used to obtain a standard closing image without identification lines when the switch is in place, obtain an image of the identification line area on the contact according to the standard closing image without identification lines when the switch is in place and the fused image, and perform binarization and morphological processing on the image of the identification line area on the contact to extract the identification line area characteristic image; the standard closing image without identification lines when the switch is in place includes a static contact area, a moving contact area and a connecting rod area; A judgment module is used to judge whether there is an identification line based on the characteristic image of the identification line area. If not, it is determined that the GIS switch is in an open state. If it exists, the number of identification lines is further judged. If there is one identification line, it is determined that the GIS switch is in a fault state. If there are two identification lines, the area ratio of the identification line to the characteristic image of the identification line area is determined, and the position stroke of the identification line relative to the moving contact is determined. According to the area ratio and the position stroke, it is determined whether the GIS switch is closed.

8. A GIS switch contact identification system based on mixed-band light source lighting technology, characterized in that: include: Light source, industrial camera, FPGA; The light source is used to provide illumination of different wavelength bands to the GIS switch contacts; The industrial camera is used to obtain monitoring images of GIS switch contacts under illumination of light sources of different wavelengths; The FPGA is used to implement the GIS switch contact identification method based on mixed-band light source lighting technology as described in any one of claims 1 to 5.

9. The system according to claim 8, characterized in that The system also includes an LED driver and an MCU. The MCU controls the LED driver through dimming, and the LED driver controls the light source to provide lighting of different wavelength bands to the GIS switch contacts.

10. The system as described in claim 8 further includes a background monitoring system, the FPGA sends the obtained GIS switch contact identification result to the background monitoring system, and the background monitoring system displays the GIS switch contact identification result.

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