Power transmission line video image on-line monitoring device

Abstract

The invention discloses a power transmission line video image on-line monitoring device, and belongs to the technical field of power transmission line monitoring. A power transmission line video image on-line monitoring device comprises an on-line detection plate, an image recognition module is installed below the on-line detection plate, a stepping motor used for adjusting the position angle of the image recognition module is installed at the upper end of the image recognition module, a power transmission wire is arranged below the image recognition module, and the power transmission wire is connected with the on-line detection plate. A line clamping plate used for installing a physical detection structure is fixed outside the power transmission conductor. The image online monitoring device solves the problems that in the actual use process of an existing image online monitoring device, the detection mode is tedious, the device cannot adapt to different monitoring environments, and the adaptability is poor, the stepping motor is used for adjusting the image recognition module in a reciprocating mode, and the monitoring position is adjusted; and a detection module in the line clamping plate is matched to carry out multidirectional real-time monitoring work, real-time acquisition is carried out on different angles of the power transmission line, and comprehensive monitoring is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission line monitoring, and in particular to a power transmission line video image online monitoring device. Background Art

[0002] Transmission line inspections mainly rely on periodic inspections by operation and maintenance personnel. Although they can discover hidden dangers in equipment, they have their own limitations and lack detection of special environments and climates. They are also unable to timely grasp changes in external forces in the line corridor during the vacuum period of the inspection cycle. It is very easy for line accidents to occur due to lack of monitoring before the next inspection.

[0003] A Chinese patent with announcement number CN117676094B discloses an online 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 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. The patent enables a mobile monitoring drone to move along a support rope to obtain a relatively stable monitoring and shooting platform, shoot low-voltage lines nearby, and obtain clearer and more stable monitoring videos. This makes it convenient for the monitoring center to more efficiently identify problems on the low-voltage lines from the monitoring image information, allowing maintenance personnel to quickly determine the location, saving patrol human resources, ensuring power transmission safety, and reducing the occurrence of accidents.

[0004] In actual use, the image online monitoring device of the above patent has a cumbersome detection method, cannot adapt to different monitoring environments, and has poor adaptability; therefore, it does not meet existing needs. In this regard, we propose a transmission line video image online monitoring device. Summary of the invention

[0005] The purpose of the present invention is to provide a transmission line video image online monitoring device, which solves the problem that the image online monitoring device proposed in the above background technology has a cumbersome detection method, cannot adapt to different monitoring environments, and has poor adaptability during actual use.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an online monitoring device for video images of a power transmission line, comprising an online detection board, an image recognition module is installed below the online detection board, a stepper motor for adjusting the position angle of the image recognition module is installed at the upper end of the image recognition module, a power transmission wire is arranged below the image recognition module, a line clamping plate for installing a physical detection structure is fixed to the outside of the power transmission wire, and a controller for processing and receiving and sending signals is installed inside the online detection board.

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

[0008] Preferably, the stepper motor is connected to the online detection board via fixing screws, a transmission is installed at the front end of the stepper motor, a connecting shaft is installed at the lower end of the transmission, the connecting shaft is fixedly connected to the online detection board, and the stepper motor is transmission-connected to the connecting shaft via the transmission.

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

[0010] Preferably, the image processing module includes:

[0011] A video data real-time receiving module is used to receive video data captured by a camera in real time;

[0012] 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;

[0013] 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;

[0014] A grayscale value extraction module, used to extract the grayscale value of each pixel contained in the grayscale image;

[0015] 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:

[0016]

[0017] 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 pixel that wants to touch the i-th pixel; Y imax Indicates the minimum gray value of the pixels that the i-th pixel wants to touch; 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;

[0018] 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.

[0019] Preferably, the grayscale adjustment module includes:

[0020] 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;

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

[0022] 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;

[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 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:

[0024]

[0025] 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 spanned 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 gray intermediate value;

[0026] 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;

[0027] The adjusted grayscale value is obtained by the following formula:

[0028] Y it =(1+f i )·Y i

[0029] 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.

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

[0031] Preferably, the interior of the circuit clamping plate includes:

[0032] A vibration detection module is used to detect the amplitude of the movement of the power transmission line under external influence;

[0033] It also includes: an environment detection module, which is used to detect the environmental data around the transmission line, and the different data generated by the transmission line in different environments;

[0034] Current sensors are used to monitor real-time current information of transmission lines.

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

[0036] The controller is used to transfer the collected video image data to the video collection 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 perform large-capacity storage of data and collect statistical detection data;

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

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

[0041] The stepper 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] Real-time data collection from different angles of the transmission line is carried out to conduct multi-faceted monitoring, and multiple data statistics are collected on the specific conditions of the transmission line to provide them to maintenance personnel for analysis and judgment.

[0044] Preferably, the vibration detection module includes:

[0045] Non-contact eddy current displacement sensor, piezoelectric vibration velocity sensor and piezoelectric vibration acceleration sensor, and 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 by processing these signals;

[0046] The environment detection module comprises:

[0047] Wind speed sensor, wind direction 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. Their application in power transmission lines is to monitor a variety of meteorological changes in real time. Power transmission lines are greatly affected by natural weather. The use of transmission line environment monitors improves meteorological monitoring capabilities.

[0048] The current sensor includes:

[0049] 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 present invention has the following beneficial effects:

[0051] 1. The online detection device of the present invention detects the surface image of the transmission line through the online detection board, and can adjust the monitoring position by reciprocating the image recognition module through the stepping motor, cooperate with the detection module inside the line clamping plate to perform multi-directional real-time monitoring, and collect data from different angles of the transmission line in real time. The monitoring clarity is high and comprehensive monitoring can be achieved, which is convenient for the staff to accurately understand the specific conditions of the transmission line and convenient for the maintenance personnel to make accurate judgments.

[0052] 2. The present invention arranges a vibration detection module, an environment detection module and a current sensor inside the line clamping plate to cooperate with the monitoring work, receives signals from displacement, velocity and acceleration through non-contact eddy current displacement sensor, piezoelectric vibration velocity sensor and piezoelectric vibration acceleration sensor, and completes different vibration and position measurements by processing these signals, and then transmits the monitored parameters to the monitoring terminal through the communication module through the wind speed sensor, wind direction sensor, temperature sensor, humidity pressure sensor and rainfall sensor, and analyzes them in real time. Its application in transmission lines is that it can monitor various meteorological changes in real time. Transmission lines are greatly affected by natural weather. The transmission line environment monitor is used to improve the meteorological monitoring capability, and cooperates with the current sensor to carry out multi-directional monitoring work to achieve the best detection effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 is an axonometric view of the present invention from the front;

[0054] Figure 2 It is an axonometric view of the present invention from above;

[0055] Figure 3 An axonometric view of the present invention viewed from above;

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

[0057] Figure 5 It is a system block diagram of the present invention.

[0058] In the figure: 1. Online detection board; 101. Data storage module; 102. Communication module; 2. Stepper motor; 201. Connecting shaft; 202. Transmitter; 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

[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] In order to solve the problem that the existing online image monitoring device has cumbersome detection methods, cannot adapt to different monitoring environments, and has poor adaptability during actual use, please refer to Figure 1- Figure 5 , this embodiment provides the following technical solutions:

[0061] A transmission line video image online monitoring device comprises an online detection board 1, an image recognition module 3 is installed below the online detection board 1, a stepper motor 2 for adjusting the position angle of the image recognition module 3 is installed on the upper end of the image recognition module 3, a transmission wire 6 is arranged below the image recognition module 3, a line clamping plate 5 for installing a physical detection structure is fixed to the outside of the transmission wire 6, a controller 7 for processing and receiving and sending signals is installed inside the online detection board 1, the surface image of the transmission wire 6 is detected by the online detection board 1, and the image recognition module 3 can be reciprocated by the stepper motor 2 to adjust the monitoring position.

[0062] In this embodiment, the stepper motor 2 is connected to the online detection board 1 through fixing screws, a transmission device 202 is installed at the front end of the stepper motor 2, and 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 through the transmission device 202, and cooperates with the detection module inside the line clamping plate 5 to perform multi-directional real-time monitoring, and collect data from different angles of the transmission line in real time. The monitoring clarity is high and comprehensive monitoring can be achieved, which is convenient for the staff to accurately understand the specific conditions of the transmission line and convenient for maintenance personnel to make accurate judgments.

[0063] Specifically, the surface image of the transmission line 6 is detected by the online detection board 1, and the image recognition module 3 can be reciprocated by the stepping motor 2 to adjust the monitoring position, and the detection module inside the line clamping plate 5 is cooperated to perform multi-directional real-time monitoring, and real-time collection of different angles of the transmission line is performed. The monitoring clarity is high and comprehensive monitoring can be achieved, which is convenient for the staff to accurately understand the specific conditions of the transmission line and convenient for maintenance personnel to make accurate judgments.

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

[0065] A data storage module 101 for storing detection data is installed at the upper end of the online detection board 1 . The online detection board 1 also includes a communication module 102 for sending data to a 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 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 rods 4. The support rods 4 adopt an insulating hollow tube structure, and the online detection board 1 and the image recognition module 3 are fixed by the support rods 4 to facilitate video monitoring. The insulating hollow tube structure can reduce signal interference and improve working results.

[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 perform large-capacity storage of data and collect statistical detection data;

[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 collection, processing and wireless transmission of video signals, all-weather monitoring can be achieved, and the staff can be notified and emergency repairs can be carried out as soon as a situation occurs, which greatly shortens the maintenance time and improves work efficiency.

[0071] In order to solve the problem that the existing online image monitoring devices have poor adaptability in actual use and cannot perform high-precision detection of power transmission lines in different environments, 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, which is used to compare and determine the image information of the transmission line.

[0073] Specifically, the image processing module includes:

[0074] A video data real-time receiving module is used to receive video data captured by a camera in real time;

[0075] 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;

[0076] 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;

[0077] A grayscale value extraction module, used to extract the grayscale value of each pixel 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 by the following formula:

[0079]

[0080] 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 pixel that wants to touch the i-th pixel; Y imax Indicates the minimum gray value of the pixels that the i-th pixel wants to touch; 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;

[0081] 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.

[0082] The technical effect of the above technical solution is: through the video data real-time receiving module, the video data of the surface image of the transmission line 6 captured by the camera can be captured and processed in real time. At the same time, through the video data real-time receiving module, the video data of the transmission line and its surrounding environment can be captured in real time, which is very important for timely detection of line faults, abnormal behaviors or potential safety hazards. At the same time, the above solution supports the video data of the transmission line taken from different angles, which helps to provide a more comprehensive perspective, facilitates the analysis of the line status, detects fault points or identifies potential problems. This is crucial for the image acquisition of transmission lines that require instant feedback or monitoring. The frame processing module decomposes the video data into separate frame image data, which makes it possible to analyze and process the video content frame by frame, 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 line 6, reduces the computational complexity, and 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 and its relationship with adjacent pixels. This coefficient can reflect the uniformity, contrast and other characteristics of the image at the grayscale level, and provides a valuable reference for subsequent image processing. The grayscale adjustment module makes necessary adjustments to the grayscale image based on the comparison result between the grayscale evaluation coefficient and the preset threshold. It can effectively improve the visual effect of the image, especially when the image contrast is insufficient or the grayscale distribution is uneven, by adjusting the grayscale value, the image can be made clearer and easier to identify. 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 processing efficiency and accuracy. This technical solution can be applied to a variety of scenarios that require image processing, such as video surveillance, image recognition, medical image processing, etc., providing strong technical support for these fields.

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

[0085] Specifically, the grayscale adjustment module includes:

[0086] 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;

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

[0088] 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;

[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 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:

[0090]

[0091] 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; Yzx 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 spanned 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 gray intermediate value;

[0092] 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;

[0093] The adjusted grayscale value is obtained by the following formula:

[0094] Y it =(1+f i )·Y i

[0095] 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.

[0096] The technical effect of the above technical solution is: through the gray value acquisition module, the gray value of each pixel in the gray image can be accurately obtained to provide basic data for subsequent processing. The calculation of the gray adjustment coefficient takes into account multiple factors, including the gray value of the pixel, the center gray value, the gray median value, and the relationship between the pixel position and the center position and the gray median value position. The above comprehensive considerations make the gray adjustment more refined and can be personalized according to the characteristics of different pixels.

[0097] By adjusting the grayscale values ​​of pixels, especially those pixels far from the center grayscale value or the middle grayscale 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 grayscale adjustment coefficient takes into account the relative position and grayscale difference between the pixels, which helps to maintain the naturalness and coherence of the image when adjusting the grayscale value. Image distortion or abruptness caused by excessive adjustment is avoided. The grayscale-adjusted image has improved 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 grayscale adjustment module in the technical solution has high flexibility and adaptability. By adjusting the calculation formula or parameters of the grayscale adjustment coefficient, customized processing can be performed for different application scenarios and requirements. Although the technical solution involves multiple calculation steps and parameters, it still maintains a high processing efficiency as a whole. By optimizing algorithms and hardware acceleration, the processing speed can be further improved to meet the needs of real-time processing.

[0098] In summary, this technical solution improves the contrast, clarity and naturalness of the image through refined and personalized grayscale adjustment, 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 circuit clamping plate 5 includes:

[0100] The vibration detection module 501 is used to detect the amplitude of the movement of the power transmission line 6 affected by the external environment;

[0101] It also includes: an environment detection module 502, which is used to detect the environmental data around the power transmission line 6, and the different data generated by the power transmission line 6 in different environments;

[0102] The current sensor 503 is used to monitor the real-time current information of the transmission line 6 .

[0103] In this embodiment, the input end of the controller 7 is 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 respectively, and the output end of the controller 7 is connected to the input end of the stepper motor 2;

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

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

[0106] The stepper motor 2 adjusts the angular position of the image recognition module 3 so that the image recognition module 3 adjusts the image monitoring orientation according to time;

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

[0108] Real-time data collection from different angles of the transmission line is carried out to conduct multi-faceted monitoring, and multiple data statistics are collected on the specific conditions of the transmission line to provide them to maintenance personnel for analysis and judgment.

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

[0110] Non-contact eddy current displacement sensor, piezoelectric vibration velocity sensor and piezoelectric vibration acceleration sensor, and 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 by processing these signals;

[0111] The environment detection module 502 includes:

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

[0113] The current sensor 503 includes:

[0114] 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 monitoring work. The signals from displacement, velocity and acceleration are received through the non-contact eddy current displacement sensor, the piezoelectric vibration velocity sensor and the piezoelectric vibration acceleration sensor, and different vibration and position measurements are completed by processing these signals. Then, the monitored parameters are transmitted to the monitoring terminal through the communication module 102 through the wind speed sensor, the wind direction sensor, the temperature sensor, the humidity and air pressure sensor and the rainfall sensor, and analyzed in real time. The application in the transmission line is that it can monitor various meteorological changes in real time. The transmission line is greatly affected by natural weather. The transmission line environment monitor is used to improve the meteorological monitoring capability. The current sensor 503 is cooperated to perform multi-directional monitoring work to achieve the best detection effect. According to different environments and circuit detection information, different angles of the transmission line are collected in real time, and multi-faceted monitoring is performed. Multiple data statistics are performed on the specific conditions of the transmission line and provided to the maintenance personnel for analysis and judgment.

[0116] Working principle: During use, a vibration detection module 501, an environmental detection module 502 and a current sensor 503 are arranged inside the line clamping plate 5 to cooperate with the monitoring work. 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 by processing these signals. The monitored parameters are then transmitted to the monitoring terminal through the communication module 102 through the wind speed sensor, wind direction sensor, temperature sensor, humidity pressure sensor and rainfall sensor for real-time analysis. The application in the transmission line is that it can monitor a variety of meteorological changes in real time. The transmission line is greatly affected by natural weather. The use of a transmission line environmental monitor improves the meteorological monitoring capability. In conjunction with the current sensor 50 3 performs multi-directional monitoring to achieve the best detection effect. According to different environments and circuit detection information, different angles of the power transmission line are collected in real time. Through the online detection board 1, the surface image of the power transmission line 6 is detected, and the image recognition module 3 can be reciprocated by the stepping motor 2 to adjust the monitoring position. The detection module inside the line clamping plate 5 performs multi-directional real-time monitoring, and different angles of the power transmission line are collected in real time. The monitoring clarity is high and comprehensive monitoring can be achieved, which is convenient for the staff to accurately understand the specific conditions of the power transmission line and convenient for the maintenance personnel to make accurate judgments. Through the collection, processing and wireless transmission of video signals, all-weather monitoring is achieved, and the staff can be notified when the situation occurs to carry out emergency repairs, which greatly shortens the maintenance time and improves work efficiency.

[0117] It should be noted that, in this article, relational terms such as first and second, etc. 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 "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to the above process, method, article or device.

[0118] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the 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).

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: 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.

5. The device for online monitoring of transmission line video images according to claim 4, characterized in that: 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 pixel that wants to touch the i-th pixel; Y imax Indicates the minimum gray value of the pixels that the i-th pixel wants to touch; 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.

6. The device for online monitoring of transmission line video images according to claim 5, 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 spanned 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.

7. 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.

8. 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).

9. The device for online monitoring of transmission line video images according to claim 8, 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.

10. 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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