An on-line monitoring device for video images of transmission lines

Abstract

The present invention discloses an on-line monitoring device for video images of transmission lines, belonging to the technical field of transmission line monitoring. An on-line monitoring device for video images of transmission lines includes an on-line detection board. Below the on-line detection board, an image recognition module is installed. At the upper end of the image recognition module, a stepping motor is installed for adjusting the position and angle of the image recognition module. Below the image recognition module, there is a transmission wire, and outside the transmission wire, a line clamping plate for installing a physical detection structure is fixed. The present invention solves the problems that in the actual use process of the existing image on-line monitoring device, the detection method is cumbersome, it cannot adapt to different monitoring environments, and the adaptability is poor. The present invention adjusts the monitoring position by reciprocally adjusting the image recognition module through the stepping motor, and cooperates with the detection module inside the line clamping plate to perform multi-directional real-time monitoring work, and real-time collects different angles of the transmission line to achieve comprehensive monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of transmission line monitoring, and specifically to an on-line monitoring device for transmission line video images. Background Technique

[0002] The inspection of transmission lines mainly relies on periodic inspections by operation and maintenance personnel. Although potential equipment hazards can be discovered, due to its own limitations, it lacks detection of special environments and climates, and it is also impossible to timely grasp the external force changes in the line corridor during the inspection cycle vacuum period. It is extremely easy to have a line accident due to lack of monitoring before the next inspection arrives.

[0003] A Chinese patent with the publication number CN117676094B discloses an on-line monitoring device for transmission line video images, including an image acquisition module, an information transmission module, an information storage module, and a monitoring center. The image acquisition module is used to acquire the image information of the transmission line and transmit it to the monitoring center through the information transmission module. The image information is analyzed by intelligent analysis software, and the image information and the analysis results are stored; this patent can use a mobile monitoring drone to move along the support rope to obtain a relatively stable monitoring and shooting platform, and take pictures of low-voltage lines nearby to obtain a clearer and more stable monitoring video, which is convenient for the monitoring center to more efficiently identify problems existing on the low-voltage lines from the monitoring image information, enabling maintenance personnel to quickly determine the location, saving inspection human resources, ensuring transmission safety, and reducing the occurrence of accidents.

[0004] In the actual use process of the above-mentioned patent's image on-line monitoring device, the detection method is cumbersome, it cannot adapt to different monitoring environments, and the adaptability is poor; therefore, it does not meet the existing needs, and for this reason, we propose an on-line monitoring device for transmission line video images. Summary of the Invention

[0005] The purpose of the present invention is to provide an on-line monitoring device for transmission line video images, which solves the problems that in the actual use process of the image on-line monitoring device mentioned in the above background technology, the detection method is cumbersome, it cannot adapt to different monitoring environments, and the adaptability is poor.

[0006] To achieve the above purpose, the present invention provides the following technical solution: An on-line monitoring device for transmission line video images, including an on-line detection board, an image recognition module is installed below the on-line detection board, a stepping motor for adjusting the position and angle of the image recognition module is installed above the image recognition module, a transmission wire is arranged below the image recognition module, a line clamping plate for installing a physical detection structure is fixed outside the transmission wire, and a controller for processing and receiving and transmitting signals is installed inside the on-line detection board.

[0007] Preferably, a data storage module for storing detection data is installed at the upper end of the online detection board. The online detection board further includes a communication module for sending data to a server, and the communication module is electrically connected to the controller.

[0008] Preferably, the stepping motor is connected to the online detection board by fixing screws. A transmission is installed at the front end of the stepping motor. A connecting shaft is installed at the lower end of the transmission, and the connecting shaft is fixedly connected to the online detection board. Moreover, the stepping motor is in transmission connection with the connecting shaft through the transmission.

[0009] Preferably, video acquisition units are installed on both sides of the lower end of the image recognition module. A camera for image monitoring is installed at the lower end of the video acquisition unit. The video acquisition unit further includes an image processing module, and the image processing module is used for comparing and judging the image information of the transmission line.

[0010] Preferably, the image processing module includes:

[0011] A video data real-time receiving module for real-time receiving of video data captured by the camera;

[0012] A frame processing module for performing frame processing on the video data to obtain frame image data corresponding to each frame of the video data;

[0013] A grayscale processing module for performing grayscale processing on the frame image data to obtain a grayscale image corresponding to each frame image data;

[0014] A grayscale value extraction module for extracting the grayscale value of each pixel point included in the grayscale image;

[0015] A grayscale evaluation coefficient acquisition module for obtaining a grayscale evaluation coefficient of the grayscale image according to the grayscale values of each pixel point included in the grayscale image; wherein, the grayscale evaluation coefficient is obtained through the following formula:

[0016]

[0017] Wherein, S represents the grayscale evaluation coefficient; n represents the total number of pixel points included in the grayscale image; Y i represents the grayscale value corresponding to the i-th pixel point; Y imax represents the maximum grayscale value among the pixel points in contact with the i-th pixel point; Y imax represents the minimum grayscale value among the pixel points in contact with the i-th pixel point; Y z represents the grayscale median value corresponding to the n pixel points included in the grayscale image; Y zx represents the central grayscale value corresponding to the grayscale image;

[0018] The grayscale adjustment module is used to perform grayscale adjustment on the grayscale values of the grayscale image when the grayscale evaluation coefficient corresponding to the grayscale image is lower than the preset grayscale coefficient threshold, and obtain the frame image data after grayscale adjustment.

[0019] Preferably, the grayscale adjustment module includes:

[0020] The grayscale value retrieval module is used to retrieve the grayscale values of each pixel point included in the grayscale image corresponding to the frame image data;

[0021] The central grayscale value acquisition module is used to extract the central grayscale value of the grayscale image corresponding to the frame image data;

[0022] The grayscale difference extraction module is used to extract the grayscale difference between the grayscale value of each pixel point included in the grayscale image and the central grayscale value of the grayscale image;

[0023] The grayscale adjustment coefficient acquisition module is used to obtain the grayscale adjustment coefficient corresponding to each pixel point according to the grayscale difference between the grayscale value of each pixel point included in the grayscale image and the central grayscale value of the grayscale image; wherein, the grayscale adjustment coefficient is obtained through the following formula:

[0024]

[0025] wherein, f i represents the grayscale adjustment coefficient corresponding to the i-th pixel point; n represents the total number of pixel points included in the grayscale image; Y i represents the grayscale value corresponding to the i-th pixel point; Y zx represents the central grayscale value corresponding to the grayscale image; Y z represents the grayscale intermediate value corresponding to the n pixel points included in the grayscale image; k represents the number of pixel points spanned by the straight-line distance between the central position of the i-th pixel point and the central point position of the central pixel point; Y ki represents the grayscale value corresponding to the i-th pixel point among the spanned pixel points; m represents the number of pixel points spanned by the straight-line distance between the central position of the i-th pixel point and the central position of the pixel point corresponding to the grayscale intermediate value;

[0026] The grayscale adjustment execution module is used to adjust the grayscale value of each pixel point by using the grayscale adjustment coefficient corresponding to each pixel point, and obtain the adjusted grayscale value corresponding to each pixel point;

[0027] wherein, the adjusted grayscale value is obtained through the following formula:

[0028] Y it =(1 + f i )·Y i

[0029] Among them, Y it represents the adjusted gray value corresponding to the i-th pixel; Y i represents the gray value corresponding to the i-th pixel; f i represents the gray-scale adjustment coefficient corresponding to the i-th pixel.

[0030] Preferably, support rods are installed on both sides of the on-line detection board. The support rods are fixedly connected to the on-line detection board and the line clamping board, and a positioning base is installed at the lower end of the support rod. The support rod adopts an insulating hollow tube structure.

[0031] Preferably, the inside of the line clamping board includes:

[0032] A vibration detection module for detecting the amplitude of the transmission wire affected by the outside world;

[0033] It also includes: an environment detection module for detecting the environmental data around the transmission wire and different data generated by the transmission wire under different environments;

[0034] A current sensor for monitoring the real-time current information of the transmission wire.

[0035] Preferably, the input end of the controller is respectively connected to the output ends of the image recognition module, the vibration detection module, the environment detection module and the current sensor, and the output end of the controller is connected to the input end of the stepping motor;

[0036] The controller is used to transmit the collected video image data to the video acquisition unit for compression processing.

[0037] Preferably, the output end of the controller is connected to the input end of the data storage module, and the output end of the data storage module is connected to the input end of the communication module;

[0038] The data storage module controls the SD card through the single-chip microcomputer STCC to collect, statistically analyze and store the detection data in a large capacity;

[0039] The controller transmits the compression signal to the communication module, and the antenna in the communication module wirelessly transmits the compression signal to achieve remote transmission.

[0040] Preferably, the output end of the controller is connected to the input end of the stepping motor, and the output end of the stepping motor is connected to the input end of the image recognition module;

[0041] The stepping motor adjusts the angular position of the image recognition module, so that the image recognition module adjusts the image monitoring orientation according to time;

[0042] The image recognition module is used for:

[0043] Collect the power transmission line at different angles in real time, conduct multi-faceted monitoring, perform multiple data statistics on the specific conditions of the power transmission line, and provide them to maintenance personnel for analysis and judgment.

[0044] Preferably, the vibration detection module includes:

[0045] A non-contact eddy current displacement sensor, a piezoelectric vibration velocity sensor, and a piezoelectric vibration acceleration sensor. The non-contact eddy current displacement sensor, piezoelectric vibration velocity sensor, and piezoelectric vibration acceleration sensor receive signals from displacement, velocity, and acceleration, and complete different vibration and position measurements through the processing of these signals;

[0046] The environment detection module includes:

[0047] An anemometer, a wind vane sensor, a temperature sensor, a humidity and air pressure sensor, and a rainfall sensor. The anemometer, wind vane sensor, temperature sensor, humidity and air pressure sensor, and rainfall sensor transmit the monitored parameters to the monitoring terminal through the communication module for real-time analysis. In the application of power transmission lines, it can monitor various meteorological changes in real time. Since power transmission lines are greatly affected by natural weather, using a power transmission line environment monitor can improve meteorological monitoring capabilities;

[0048] The current sensor includes:

[0049] A polarity detection sensor, and the polarity detection sensor is used to compare the data difference between the current transformer and the current sensor.

[0050] Compared with the prior art, the beneficial effects of the present invention are:

[0051] 1. The on-line detection device of the present invention detects the surface image of the power transmission wire through the provided on-line detection board, and can reciprocally adjust the image recognition module through the stepping motor to adjust the monitoring position, and cooperate with the detection module inside the line clamping board to perform multi-faceted real-time monitoring work, collect the power transmission line at different angles in real time. Its monitoring clarity is high, and it can achieve comprehensive monitoring, which is convenient for the staff to accurately understand the specific conditions of the power transmission line and is convenient for the maintenance personnel to accurately judge.

[0052] 2. The present invention is equipped with a vibration detection module, an environment detection module, and a current sensor inside the line clamping plate to cooperate in the monitoring work. The non-contact eddy current displacement sensor, piezoelectric vibration velocity sensor, and piezoelectric vibration acceleration sensor receive signals from displacement, velocity, and acceleration. By processing these signals, different vibration and position measurements are completed. Then, the monitored parameters are transmitted to the monitoring terminal through the communication module by the wind speed sensor, wind direction sensor, temperature sensor, humidity and air pressure sensor, and rainfall sensor for real-time analysis. In the application of transmission lines, it can monitor various meteorological changes in real time. Since transmission lines are greatly affected by natural weather, using a transmission line environment monitor can improve meteorological monitoring capabilities and cooperate with the current sensor for multi-faceted monitoring work to achieve the best detection effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 Isometric view of the front view of the present invention;

[0054] Figure 2 Isometric view of the top view of the present invention;

[0055] Figure 3 Isometric view of the bottom view of the present invention;

[0056] Figure 4 For the present invention Figure 3 Partial enlarged view of area A in;

[0057] Figure 5 System block diagram of the present invention.

[0058] In the figure: 1, on-line detection board; 101, data storage module; 102, communication module; 2, stepping motor; 201, connecting shaft; 202, transmission; 3, image recognition module; 301, video acquisition unit; 302, camera; 4, support rod; 401, positioning base; 5, line clamping plate; 501, vibration detection module; 502, environment detection module; 503, current sensor; 6, transmission wire; 7, controller. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0060] To solve the problems that in the actual use process of the existing image on-line monitoring device, the detection method is cumbersome, it cannot adapt to different monitoring environments, and the adaptability is poor, please refer to Figure 1- Figure 5 , this embodiment provides the following technical solutions:

[0061] An on-line monitoring device for video images of a transmission line includes an on-line detection board 1. Below the on-line detection board 1, an image recognition module 3 is installed. At the upper end of the image recognition module 3, a stepping motor 2 for adjusting the position and angle of the image recognition module 3 is installed. Below the image recognition module 3, there is a transmission wire 6. Outside the transmission wire 6, a line clamping plate 5 for installing a physical detection structure is fixed. Inside the on-line detection board 1, a controller 7 for processing and receiving and transmitting signals is installed. Through the set on-line detection board 1, the surface image of the transmission wire 6 is detected, and the monitoring position can be adjusted by reciprocating the image recognition module 3 through the stepping motor 2.

[0062] In this embodiment, the stepping motor 2 is connected to the on-line detection board 1 through a fixing screw. At the front end of the stepping motor 2, a transmission 202 is installed. At the lower end of the transmission 202, a connecting shaft 201 is installed. The connecting shaft 201 is fixedly connected to the on-line detection board 1, and the stepping motor 2 is in transmission connection with the connecting shaft 201 through the transmission 202. Cooperating with the detection module inside the line clamping plate 5, multi-directional real-time monitoring is carried out, and real-time acquisition is carried out at different angles of the transmission line. Its monitoring clarity is high, and comprehensive monitoring can be realized, which is convenient for the staff to accurately understand the specific conditions of the transmission line and is convenient for the maintenance personnel to accurately judge.

[0063] Specifically, through the set on-line detection board 1, the surface image of the transmission wire 6 is detected, and the monitoring position can be adjusted by reciprocating the image recognition module 3 through the stepping motor 2. Cooperating with the detection module inside the line clamping plate 5, multi-directional real-time monitoring is carried out, and real-time acquisition is carried out at different angles of the transmission line. Its monitoring clarity is high, and comprehensive monitoring can be realized, which is convenient for the staff to accurately understand the specific conditions of the transmission line and is convenient for the maintenance personnel to accurately judge.

[0064] To solve the problem that the existing image on-line monitoring device has poor transmission effect and cannot meet the actual application in the actual use process, please refer to Figure 1 - Figure 2 , this embodiment provides the following technical solutions:

[0065] At the upper end of the on-line detection board 1, a data storage module 101 for storing detection data is installed. The on-line detection board 1 further includes a communication module 102 for sending data to the server. The communication module 102 is electrically connected to the controller 7.

[0066] In this embodiment, support rods 4 are installed on both sides of the on-line detection board 1. The support rods 4 are fixedly connected to the on-line detection board 1 and the line clamping board 5. A positioning base 401 is installed at the lower end of the support rod 4. The support rod 4 adopts an insulating hollow tube structure. The on-line detection board 1 and the image recognition module 3 are fixed through the support rod 4 for video monitoring work. And through the insulating hollow tube structure, signal interference is reduced and the working effect is improved.

[0067] In this embodiment, the output end of the controller 7 is connected to the input end of the data storage module 101, and the output end of the data storage module 101 is connected to the input end of the communication module 102;

[0068] The data storage module 101 controls the SD card through the single-chip microcomputer STC89C58 to collect, statistically analyze, and store the detected data in a large capacity.

[0069] The controller 7 transmits the compressed signal to the communication module 102, and the antenna in the communication module 102 wirelessly transmits the compressed signal to achieve remote transmission.

[0070] Specifically, through the acquisition, processing, and wireless transmission of video signals, all-weather monitoring is realized. It can notify the staff to carry out emergency repair work at the same time when the situation occurs, greatly shortening the repair time and improving work efficiency.

[0071] In order to solve the problem that the existing image on-line monitoring device has poor adaptability and cannot perform high-precision detection work on transmission lines in different environments during actual use, please refer to Figure 1 、 Figure 5 , this embodiment provides the following technical solutions:

[0072] Video acquisition units 301 are installed on both sides of the lower end of the image recognition module 3. A camera 302 for image monitoring is installed at the lower end of the video acquisition unit 301. The video acquisition unit 301 also includes an image processing module, and the image processing module is used to compare and judge the image information of the transmission line.

[0073] Specifically, the image processing module includes:

[0074] A video data real-time receiving module for real-time receiving of video data captured by the camera;

[0075] A frame processing module for performing frame processing on the video data to obtain frame image data corresponding to each frame of the video data;

[0076] A grayscale processing module for performing grayscale processing on the frame image data to obtain a grayscale image corresponding to each frame image data;

[0077] The grayscale value extraction module is used to extract the grayscale value of each pixel point contained in the grayscale image;

[0078] The grayscale evaluation coefficient acquisition module is used to obtain the grayscale evaluation coefficient of the grayscale image according to the grayscale value of each pixel point contained in the grayscale image; wherein, the grayscale evaluation coefficient is obtained through the following formula:

[0079]

[0080] wherein, S represents the grayscale evaluation coefficient; n represents the total number of pixel points contained in the grayscale image; Y i represents the grayscale value corresponding to the i-th pixel point; Y imax represents the maximum grayscale value among the pixel points in contact with the i-th pixel point; Y imax represents the minimum grayscale value among the pixel points in contact with the i-th pixel point; Y z represents the grayscale median value corresponding to the n pixel points contained in the grayscale image; Y zx represents the central grayscale value corresponding to the grayscale image;

[0081] The grayscale adjustment module is used to perform grayscale adjustment on the grayscale value of the grayscale image when the grayscale evaluation coefficient corresponding to the grayscale image is lower than a preset grayscale coefficient threshold, and obtain the frame image data after grayscale adjustment.

[0082] The technical effects of the above technical solutions are as follows: Through the video data real-time receiving module, it is possible to instantaneously capture and process the video data of the surface image of the transmission wire 6 captured by the camera. At the same time, through the video data real-time receiving module, it is possible to instantaneously capture the video data of the transmission wire and its surrounding environment, which is crucial for timely detecting wire faults, abnormal behaviors or potential safety hazards. At the same time, the above solution supports shooting video data of the transmission wire from different angles, which helps to provide a more comprehensive perspective for analyzing the wire state, detecting fault points or identifying potential problems. This is crucial for the acquisition of transmission wire images that require instant feedback or monitoring. The frame processing module decomposes the video data into separate frame image data, which makes it possible to perform frame-by-frame analysis and processing of the video content, and can improve the accuracy and flexibility of image processing.

[0083] The grayscale processing module converts the color frame image into a grayscale image, which simplifies the surface image data of the transmission wire 6, reduces the computational complexity, and at the same time retains sufficient image information for subsequent processing. The grayscale value extraction module and the grayscale evaluation coefficient acquisition module work together to obtain the grayscale evaluation coefficient by carefully analyzing the grayscale value of each pixel point and its relationship with adjacent pixel points. This coefficient can reflect the characteristics of the image such as uniformity and contrast at the grayscale level, providing valuable reference for subsequent image processing. The grayscale adjustment module makes necessary adjustments to the grayscale image according to the comparison result between the grayscale evaluation coefficient and the preset threshold. It can effectively improve the visual effect of the image. Especially in the case of insufficient image contrast or uneven grayscale distribution, the image can be made clearer and easier to identify by adjusting the grayscale value. The entire image processing process is highly automated, relying on algorithms and preset parameters for decision-making and adjustment, reducing the need for manual intervention and improving the processing efficiency and accuracy. This technical solution can be applied to various scenarios requiring image processing, such as video surveillance, image recognition, medical image processing, etc., providing strong technical support for these fields.

[0084] In summary, through a series of carefully designed modules and algorithms, this technical solution realizes the efficient and automated processing of real-time video data, improves the clarity and readability of the image, and provides strong technical support for various application scenarios.

[0085] Specifically, the grayscale adjustment module includes:

[0086] The grayscale value retrieval module is used to retrieve the grayscale value of each pixel point included in the grayscale image corresponding to the frame image data;

[0087] The central grayscale value acquisition module is used to extract the central grayscale value of the grayscale image corresponding to the frame image data;

[0088] The grayscale difference extraction module is used to extract the grayscale difference between the grayscale value of each pixel point included in the grayscale image and the central grayscale value of the grayscale image;

[0089] The grayscale adjustment coefficient acquisition module is used to obtain the grayscale adjustment coefficient corresponding to each pixel point according to the grayscale difference between the grayscale value of each pixel point included in the grayscale image and the central grayscale value of the grayscale image; wherein, the grayscale adjustment coefficient is obtained through the following formula:

[0090]

[0091] where f i represents the grayscale adjustment coefficient corresponding to the i-th pixel point; n represents the total number of pixel points included in the grayscale image; Y i represents the grayscale value corresponding to the i-th pixel point; Yzx represents the central gray value corresponding to the grayscale image; Y z represents the intermediate gray value corresponding to the n pixel points included in the grayscale image; k represents the number of pixel points spanned by the straight-line distance between the central position of the i-th pixel point and the central point position of the central pixel point; Y ki represents the gray value corresponding to the i-th pixel point among the spanned pixel points; m represents the number of pixel points spanned by the straight-line distance between the central position of the i-th pixel point and the central position of the pixel point corresponding to the intermediate gray value;

[0092] The grayscale adjustment execution module is used to adjust the grayscale value of each pixel point by using the grayscale adjustment coefficient corresponding to the pixel points, and obtain the adjusted grayscale value corresponding to each pixel point;

[0093] Among them, the adjusted grayscale value is obtained through the following formula:

[0094] Y it =(1 + f i )·Y i

[0095] Among them, Y it represents the adjusted grayscale value corresponding to the i-th pixel point; Y i represents the grayscale value corresponding to the i-th pixel point; f i represents the grayscale adjustment coefficient corresponding to the i-th pixel point.

[0096] The technical effects of the above technical solutions are as follows: Through the grayscale value retrieval module, the grayscale value of each pixel point in the grayscale image can be accurately obtained, providing basic data for subsequent processing. The calculation of the grayscale adjustment coefficient takes into account multiple factors, including the grayscale value of the pixel point, the central grayscale value, the intermediate grayscale value, and the relationship between the pixel point position and the central position and the intermediate grayscale value position. The above comprehensive consideration makes the grayscale adjustment more refined and can perform personalized adjustments according to the characteristics of different pixel points.

[0097] By adjusting the gray values of pixels, especially those far from the central gray value or the median gray value, the contrast of the image can be significantly enhanced. The above adjustment helps to make the details in the image clearer and improve the visual effect of the image. The calculation method of the gray adjustment coefficient takes into account the relative positions and gray differences between pixels, which helps to maintain the naturalness and coherence of the image when adjusting the gray values. It avoids image distortion or abruptness caused by excessive adjustment. The image after gray adjustment has been improved in terms of contrast, clarity, etc., which helps to enhance the performance of the image recognition algorithm. In the fields of machine vision, image recognition, etc., the above processing can improve the accuracy and efficiency of the algorithm. The gray adjustment module in this technical solution has high flexibility and adaptability. By adjusting the calculation formula or parameters of the gray adjustment coefficient, customized processing can be carried out for different application scenarios and requirements. Although this technical solution involves multiple calculation steps and parameters, it still maintains a high processing efficiency as a whole. By means of optimizing the algorithm and hardware acceleration, etc., the processing speed can be further improved to meet the requirements of real-time processing.

[0098] In summary, through refined and personalized gray adjustment, this technical solution improves the contrast, clarity and naturalness of the image, enhances the performance of the image recognition algorithm, and maintains high flexibility and processing efficiency. These technical effects make this technical solution have broad application prospects in the fields of image processing, machine vision, etc.

[0099] In this embodiment, the interior of the line clamping plate 5 includes:

[0100] A vibration detection module 501 for detecting the magnitude of the activity amplitude of the transmission wire 6 affected by the outside world;

[0101] It further includes: an environment detection module 502 for detecting the environmental data around the transmission wire 6 and different data generated by the transmission wire 6 under different environments;

[0102] A current sensor 503 for monitoring the real-time current information of the transmission wire 6.

[0103] In this embodiment, the input end of the controller 7 is respectively connected to the output ends of the image recognition module 3, the vibration detection module 501, the environment detection module 502 and the current sensor 503, and the output end of the controller 7 is connected to the input end of the stepping motor 2;

[0104] The controller 7 is used to transfer the collected video image data to the video acquisition unit 301 for compression processing.

[0105] In this embodiment, the output end of the controller 7 is connected to the input end of the stepping motor 2, and the output end of the stepping motor 2 is connected to the input end of the image recognition module 3;

[0106] The stepping motor 2 adjusts the angular position of the image recognition module 3, enabling the image recognition module 3 to adjust the image monitoring orientation according to time;

[0107] The image recognition module 3 is used for:

[0108] Collecting in real time at different angles of the transmission line, conducting multi-faceted monitoring, performing multiple data statistics on the specific conditions of the transmission line, and providing them to maintenance personnel for analysis and judgment.

[0109] In this embodiment, the vibration detection module 501 includes:

[0110] A non-contact eddy current displacement sensor, a piezoelectric vibration velocity sensor, and a piezoelectric vibration acceleration sensor. The non-contact eddy current displacement sensor, the piezoelectric vibration velocity sensor, and the piezoelectric vibration acceleration sensor receive signals from displacement, velocity, and acceleration, and complete different vibration and position measurements through the processing of these signals;

[0111] The environment detection module 502 includes:

[0112] A wind speed sensor, a wind direction sensor, a temperature sensor, a humidity and air pressure sensor, and a rainfall sensor. The wind speed sensor, the wind direction sensor, the temperature sensor, the humidity and air pressure sensor, and the rainfall sensor transmit the monitored parameters to the monitoring terminal through the communication module 102 for real-time analysis. In the application of the transmission line, it can monitor various meteorological changes in real time. Since the transmission line is greatly affected by natural weather, using the transmission line environment monitor can improve the meteorological monitoring ability and cooperate with the current sensor 503 for multi-faceted monitoring work to achieve the best detection effect;

[0113] The current sensor 503 includes:

[0114] A polarity detection sensor, and the polarity detection sensor is used to compare the data difference between the current transformer and the current sensor 503.

[0115] Specifically, a vibration detection module 501, an environment detection module 502, and a current sensor 503 are arranged inside the line clamping plate 5 to cooperate in the monitoring work. The non-contact eddy current displacement sensor, piezoelectric vibration velocity sensor, and piezoelectric vibration acceleration sensor receive signals from displacement, velocity, and acceleration, and through the processing of these signals, different vibration and position measurements are completed. Then, the monitored parameters are transmitted to the monitoring terminal through the communication module 102 by the wind speed sensor, wind direction sensor, temperature sensor, humidity and air pressure sensor, and rainfall sensor for real-time analysis. In the application of transmission lines, it can monitor various meteorological changes in real time. Since transmission lines are greatly affected by natural weather, using a transmission line environment monitor can improve meteorological monitoring capabilities and cooperate with the current sensor 503 for multi-faceted monitoring work to achieve the best detection effect. According to different environmental and circuit detection information, real-time acquisition is carried out at different angles of the transmission line for multi-faceted monitoring, and multiple data statistics are performed on the specific conditions of the transmission line and provided to maintenance personnel for analysis and judgment.

[0116] Working principle: During use, a vibration detection module 501, an environment detection module 502, and a current sensor 503 are arranged inside the line clamping plate 5 to cooperate in the monitoring work. The non-contact eddy current displacement sensor, piezoelectric vibration velocity sensor, and piezoelectric vibration acceleration sensor receive signals from displacement, velocity, and acceleration, and through the processing of these signals, different vibration and position measurements are completed. Then, the monitored parameters are transmitted to the monitoring terminal through the communication module 102 by the wind speed sensor, wind direction sensor, temperature sensor, humidity and air pressure sensor, and rainfall sensor for real-time analysis. In the application of transmission lines, it can monitor various meteorological changes in real time. Since transmission lines are greatly affected by natural weather, using a transmission line environment monitor can improve meteorological monitoring capabilities and cooperate with the current sensor 503 for multi-faceted monitoring work to achieve the best detection effect. According to different environmental and circuit detection information, real-time acquisition is carried out at different angles of the transmission line. Through the provided on-line detection board 1, the surface image of the transmission wire 6 is detected, and the image recognition module 3 can be reciprocally adjusted by the stepping motor 2 to adjust the monitoring position, cooperating with the detection module inside the line clamping plate 5 for multi-faceted real-time monitoring work, and real-time acquisition is carried out at different angles of the transmission line. Its monitoring clarity is high, and comprehensive monitoring can be achieved, facilitating the staff to accurately understand the specific conditions of the transmission line and facilitating the maintenance personnel to accurately judge. Through the acquisition, processing, and wireless transmission of video signals, all-weather monitoring can be realized, and the staff can be notified to carry out emergency repair work simultaneously when a situation occurs, greatly shortening the repair time and improving work efficiency.

[0117] It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to the above process, method, article or device.

[0118] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention.

Claims

1. A transmission line video image online monitoring device, comprising an online detection board (1), characterized in that: An image recognition module (3) is installed below the online detection board (1); a stepping motor (2) for adjusting the position angle of the image recognition module (3) is installed at the upper end of the image recognition module (3); a power transmission wire (6) is arranged below the image recognition module (3); a circuit clamping plate (5) for installing a physical detection structure is fixed to the outside of the power transmission wire (6); and a controller (7) for processing and sending and receiving signals is installed inside the online detection board (1); Video acquisition units (301) are installed on both sides of the lower end of the image recognition module (3), and a camera (302) for image monitoring is installed at the lower end of the video acquisition unit (301). The video acquisition unit (301) also includes an image processing module, which is used to compare and determine image information of the power transmission line; The image processing module comprises: A video data real-time receiving module, used for receiving video data captured by a camera (302) in real time; A frame processing module, used to perform frame processing on the video data to obtain frame image data corresponding to each frame of the video data; A grayscale processing module, used for performing grayscale processing on the frame image data to obtain a grayscale image corresponding to each frame image data; A grayscale value extraction module, used to extract the grayscale value of each pixel contained in the grayscale image; The grayscale evaluation coefficient acquisition module is used to obtain the grayscale evaluation coefficient of the grayscale image according to the grayscale value of each pixel point contained in the grayscale image; wherein the grayscale evaluation coefficient is obtained by the following formula: Where S represents the grayscale evaluation coefficient; n represents the total number of pixels contained in the grayscale image; Y i Indicates the gray value corresponding to the i-th pixel; Y imax Indicates the maximum grayscale value of the pixels that are in contact with the i-th pixel; Y imax Represents the minimum grayscale value of the pixels that are in contact with the i-th pixel; Y z Represents the grayscale median value corresponding to the n pixels contained in the grayscale image; Y zx Indicates the central gray value corresponding to the grayscale image; The grayscale adjustment module is used to adjust the grayscale value of the grayscale image when the grayscale evaluation coefficient corresponding to the grayscale image is lower than a preset grayscale coefficient threshold, and obtain the frame image data after the grayscale adjustment.

2. The device for online monitoring of transmission line video images according to claim 1, characterized in that: A data storage module (101) for storing detection data is installed at the upper end of the online detection board (1), and the online detection board (1) also includes a communication module (102) for sending data to a server, and the communication module (102) is electrically connected to the controller (7).

3. The device for online monitoring of transmission line video images according to claim 1, characterized in that: The stepper motor (2) is connected to the online detection board (1) via fixing screws; a transmission device (202) is installed at the front end of the stepper motor (2); a connecting shaft (201) is installed at the lower end of the transmission device (202); the connecting shaft (201) is fixedly connected to the online detection board (1), and the stepper motor (2) is transmission-connected to the connecting shaft (201) via the transmission device (202).

4. The device for online monitoring of transmission line video images according to claim 1, characterized in that: Grayscale adjustment module, including: A grayscale value retrieving module, used to retrieve the grayscale value of each pixel contained in the grayscale image corresponding to the frame image data; A central grayscale value acquisition module, used to extract the central grayscale value of the grayscale image corresponding to the frame image data; A grayscale difference extraction module, used to extract the grayscale difference between the grayscale value of each pixel contained in the grayscale image and the central grayscale value of the grayscale image; The grayscale adjustment coefficient acquisition module is used to obtain the grayscale adjustment coefficient corresponding to each pixel point according to the grayscale difference between the grayscale value of each pixel point contained in the grayscale image and the central grayscale value of the grayscale image; wherein the grayscale adjustment coefficient is obtained by the following formula: Among them, f i represents the grayscale adjustment coefficient corresponding to the i-th pixel; n represents the total number of pixels contained in the grayscale image; Y i Indicates the gray value corresponding to the i-th pixel; Y zx Indicates the central gray value corresponding to the grayscale image; Y z represents the grayscale median value corresponding to the n pixels contained in the grayscale image; k represents the number of pixels spanned by the straight-line distance between the center position of the i-th pixel and the center position of the central pixel; Y ki represents the gray value corresponding to the i-th pixel among the crossed pixels; m represents the number of pixels spanned by the straight-line distance between the center position of the i-th pixel and the center position of the pixel corresponding to the grayscale intermediate value; A grayscale adjustment execution module, used to adjust the grayscale value of each pixel point using the grayscale adjustment coefficient corresponding to the pixel point, and obtain the adjusted grayscale value corresponding to each pixel point; The adjusted grayscale value is obtained by the following formula: Y it =(1+f i )·Y i Among them, Y it Indicates the adjusted grayscale value corresponding to the i-th pixel; Y i represents the gray value corresponding to the i-th pixel; f i Indicates the grayscale adjustment coefficient corresponding to the i-th pixel.

5. The device for online monitoring of transmission line video images according to claim 1, characterized in that: Support rods (4) are installed on both sides of the online detection board (1), the support rods (4) are fixedly connected to the online detection board (1) and the line clamping plate (5), and a positioning base (401) is installed at the lower end of the support rod (4), and the support rod (4) adopts an insulating hollow tube structure.

6. The device for online monitoring of transmission line video images according to claim 1, characterized in that: The interior of the circuit clamping plate (5) comprises: A vibration detection module (501) is used to detect the amplitude of the movement of the power transmission line (6) affected by the outside world; An environment detection module (502) is used to detect environmental data around the power transmission line (6), and to detect different data generated by the power transmission line (6) in different environments; The current sensor (503) is used to monitor the real-time current information of the transmission line (6).

7. The device for online monitoring of transmission line video images according to claim 6, characterized in that: The input end of the controller (7) is respectively connected to the output ends of the image recognition module (3), the vibration detection module (501), the environment detection module (502) and the current sensor (503), and the output end of the controller (7) is connected to the input end of the stepping motor (2); The controller (7) is used to transmit the collected video image data to the video collection unit (301) for compression processing.

8. The device for online monitoring of transmission line video images according to claim 2, characterized in that: The output end of the controller (7) is connected to the input end of the data storage module (101), and the output end of the data storage module (101) is connected to the input end of the communication module (102); The data storage module (101) controls the SD card to perform large-capacity storage of data and collect statistical detection data through the single-chip microcomputer STC89C58; The controller (7) transmits the compressed signal to the communication module (102), and the antenna in the communication module (102) wirelessly transmits the compressed signal to achieve remote transmission.

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