CN212785620U - Monitoring system for power transmission network - Google Patents
Monitoring system for power transmission network Download PDFInfo
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- CN212785620U CN212785620U CN202021944580.7U CN202021944580U CN212785620U CN 212785620 U CN212785620 U CN 212785620U CN 202021944580 U CN202021944580 U CN 202021944580U CN 212785620 U CN212785620 U CN 212785620U
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Abstract
The utility model discloses a monitoring system for a power transmission network, which comprises a monitoring camera, a processing module, a cruise robot, an alarm device and a terminal device; the monitoring cameras are arranged on each tower and connected with the alarm device and the terminal equipment, the processing modules are positioned in the monitoring cameras and comprise image acquisition modules, image processing modules, image analysis modules and image understanding modules, and different alarm rules are preset in each monitoring camera according to different geographic positions and environmental conditions; the cruising robot is provided with a camera and an emergency device, is preset with a cruising route and is in wireless connection with the monitoring camera; the alarm device and the terminal equipment are arranged on the monitoring workstation and used for sending out alarm sound and displaying alarm information. The monitoring is carried out in all directions without dead angles, danger signals are pre-judged in advance, alarming is carried out or direct processing is carried out through an emergency device, partial potential safety hazards are rapidly solved, and loss is reduced.
Description
Technical Field
The utility model relates to a transmission line technical field especially relates to a monitoring system for power transmission network.
Background
The power transmission line is an main artery of the power grid and serves as a core component of the power grid, and safe, reliable and stable operation of the power transmission line is related to the operation safety of the whole power system. Most of the transmission lines are distributed in the field, the coverage area of the lines is wide, the weather conditions and the geographic environment are severe and changeable, the dual influences of natural environment and human factors can be inevitably caused, and great potential safety hazards are caused to the lines. The CN105357486A discloses a remote monitoring method for a power transmission line, but the remote monitoring of images is seriously affected by the environment, blind areas exist in night vision and severe environment of an important power transmission channel and in nearby environmental conditions, some potential safety hazards cannot be pre-judged in advance, and some potential safety hazards or emergency situations cannot be processed in time, thereby causing greater loss.
SUMMERY OF THE UTILITY MODEL
In order to overcome the defects, the utility model aims to provide a monitoring system for power transmission network utilizes surveillance camera machine and the diversified control transmission line all ring edge borders condition of robot that cruises, prejudges dangerous signal in advance, reports to the police or directly handles.
In order to achieve the above purpose, the utility model adopts the following technical scheme:
a monitoring system for a power transmission network, the power transmission network comprising a plurality of towers and a power transmission line, the power transmission line being connected by the plurality of towers, the monitoring system comprising a surveillance camera, a processing module, a cruise robot, an alarm device and a terminal device; the monitoring cameras are arranged on each tower, connected with the alarm device and the terminal equipment, the processing module is positioned in the monitoring cameras and comprises an image acquisition module, an image processing module, an image analysis module and an image understanding module, and different alarm rules are preset in each monitoring camera according to different geographic positions and environmental conditions; the cruising robot is provided with a camera and an emergency device, is preset with a cruising route, and is in wireless connection with the monitoring camera; the alarm device and the terminal equipment are arranged on the monitoring workstation and used for sending out alarm sound and displaying alarm information.
Optionally, the cruise robot is provided with a lithium battery in an internal mode, a solar cell panel in an external mode and a crawler belt in the bottom.
Optionally, the emergency device includes heating device, pressure device, water tank and activity squirt, heating device and pressure device are connected with the water tank, the one end at the water tank is set up to the activity squirt.
Optionally, the image analysis module is provided with a background modeling algorithm, and a vector quantization and cluster analysis technology is adopted to process the pixel value of each pixel point.
Optionally, the image processing module employs a denoising technique, a defogging technique, an edge detection technique, and an image enhancement technique.
The utility model discloses an actively beneficial effect:
the utility model discloses a surveillance camera machine of each position and near diversified control transmission line all ring edge border condition of the robot that cruises in near, monitoring of all-round no dead angle to judge danger signal in advance, report to the police or directly handle through emergency device, quick solution part potential safety hazard reduces the loss.
Drawings
Fig. 1 is a schematic block diagram of a monitoring system for a power transmission network according to embodiment 1 of the present invention;
fig. 2 is a schematic structural diagram of a cruise robot according to embodiment 1 of the present invention;
fig. 3 is a schematic block diagram of image processing provided in embodiment 1 of the present invention.
10, monitoring a system; 11. a surveillance camera; 12. a processing module; 13. a cruise robot; 14. an alarm device; 15. a terminal device; 131. a water tank; 132. a movable water gun; 133. a camera is provided.
Detailed Description
The present invention will be further described with reference to some embodiments.
Example 1
As shown in fig. 1 and 2, a monitoring system for a power transmission network, the power transmission network comprising a plurality of towers and a power transmission line, the power transmission line being connected through the plurality of towers, the monitoring system comprising a monitoring camera, a processing module, a cruise robot, an alarm device and a terminal device; the monitoring cameras are arranged on each tower, connected with the alarm device and the terminal equipment, the processing module is positioned in the monitoring cameras and comprises an image acquisition module, an image processing module, an image analysis module and an image understanding module, and different alarm rules are preset in each monitoring camera according to different geographic positions and environmental conditions; the cruising robot is provided with a camera and an emergency device, is preset with a cruising route, and is in wireless connection with the monitoring camera; the alarm device and the terminal equipment are arranged on the monitoring workstation and used for sending out alarm sound and displaying alarm information.
And carrying out homogenization and standardization processing on the acquired image information of the massive power transmission line, and carrying out intelligent analysis on the standardized data of the online monitoring image of the power transmission line, so as to realize automatic analysis, early warning and automatic processing of the equipment image in important areas such as three-span points of the power transmission line. Arranging monitoring cameras on part of towers according to needs, wherein a processing module of each monitoring camera is used for acquiring image information, processing, analyzing and understanding, and as shown in fig. 3, an image acquisition module refers to a process of acquiring image data through a hardware system; the image processing module comprises data processing and image preprocessing; the image analysis module is mainly used for segmenting and detecting an interested target in the image; image understanding is to further study the nature of each target in the image and the mutual connection among the targets on the basis of image analysis, and obtain the understanding of the meaning of the image content and the explanation of an objective scene. By processing the image information of the power transmission line, a distributed recognition framework is constructed, the image processing cost is reduced, and the response speed of a recognition algorithm is improved. Due to the fact that the range of the power transmission network is large, corresponding alarm rules can be used for monitoring different geographical positions to achieve effective early warning and processing, once a target acts against predefined rules in a scene, the system can automatically give an alarm, the monitoring workstation automatically pops out alarm information and gives out alarm sound, and a user can achieve scene recombination of the alarm and take related measures by clicking the alarm information. The system is characterized in that a plurality of cruise robots are additionally arranged, corresponding cruise routes are preset by the cruise robots according to different corresponding geographic positions, the environment near the power transmission line is monitored in real time, the monitoring visual field range is enlarged, and dangerous images are sent to nearby monitoring cameras and then transmitted to an alarm device and a display terminal; the cruise robot prejudges and removes partial dangerous signals in advance, partial specific dangers can be removed through the emergency device, monitoring personnel do not need to go to the site to solve, emergency situations are timely handled, and the cruise robot is safe, rapid and convenient.
Specifically, the cruise robot is provided with a lithium battery in an internal mode, a solar cell panel in an external mode and a crawler belt in the bottom. The emergency device comprises a heating device, a pressurizing device, a water tank and a movable water gun, wherein the heating device and the pressurizing device are connected with the water tank, and the movable water gun is arranged at one end of the water tank. When the solar cell panel is illuminated, the solar cell panel can provide power for the cruising robot, meanwhile, redundant electric energy is used for charging the emergency lithium battery, and the lithium battery provides main power energy under the condition of weak illumination or no illumination. Cruising routes may have complex terrain and may travel more smoothly through most areas by means of tracks. The camera acquires topographic image information, the topographic image information is analyzed and judged by the processing module, and respective danger can be automatically relieved, if a spark is found, the pressurizing device and the movable water gun are triggered under the condition that the fire is not strong, and the spark is sprayed to extinguish the fire; if more birds stay on the power transmission line in an area with more birds, the movable water gun can be triggered to spray water to drive the birds, and hidden danger is avoided; if in winter, the power transmission line has tied up thick ice layer, triggers heating device and heats the water in the water tank, and the movable squirt sprays hot water and unfreezes the ice layer, removes the potential safety hazard, etc.. Meanwhile, the emergency device has a self-cleaning function, the camera is in outdoor work for a long time, the lens is inevitably stained with dust and mud to influence the acquisition of image information, and the movable water gun can wash the lens to be cleaned when the lens is dirty so as to ensure the clarity and accuracy of the acquired image.
The video monitoring is carried out by adopting a computer, under the condition that human intervention is not needed, the image sequence shot by the camera is automatically analyzed by utilizing the computer vision and video analysis method, the positioning, the identification and the tracking of the target in a dynamic scene are realized, and the behavior of the target is analyzed and judged on the basis, so that the daily management can be finished, and the abnormal condition can be responded in time. The computer video monitoring is to perform motion detection, moving object classification, moving object tracking and understanding and description of object behaviors in a monitored scene on an image sequence by using a computer vision and image processing method. Among them, motion detection, object classification, object tracking belong to low-level and middle-level processing sections in vision, and behavior understanding and description belong to a high-level processing section.
The image analysis module is provided with a background modeling algorithm, and the pixel value of each pixel point is processed by adopting vector quantization and cluster analysis technologies. The algorithm does not need any parameter hypothesis, and a Codebook (Codebook) containing a plurality of code words (codebooks) is established for each pixel point to represent the background. In complex scenes, there are often various regular and irregular motion backgrounds, such as elevators moving at a constant speed and branches and leaves that are randomly swaying with the wind. In this case, the background cannot be well described with regular model distributions and fixed number of models. And code book background modeling provides that quantification and cluster analysis are carried out according to the sequence value of the pixel points in the learning stage, and the size of the model is determined according to the dynamic characteristics of the scene. The codebook background modeling algorithm does not make any assumption on the probability distribution of the background, but analyzes the RGB color space sampling values observed on the time axis by using a non-statistical cluster analysis technique, and expresses its statistical characteristics by using the color mean, the luminance range, and the maximum time interval and the number of occurrences of the codeword.
The image processing module adopts a denoising technology, a defogging technology, an edge detection technology and an image enhancement technology. The images are often polluted by noise in the processes of acquisition, acquisition and transmission, and the noise is a main factor influencing the image quality and greatly influences people to extract information from the images. Therefore, it is often necessary to eliminate noise before analyzing and utilizing an image, and denoising methods can be roughly classified into three major categories, namely, local methods, non-local methods, and sparse coding methods. When in inspection or fixed monitoring, due to more factors such as meteorological conditions or atmospheric pollution and the like in haze days, the outdoor acquired image forms a degraded image after the absorption and scattering effects of particles such as water drops, dust and the like in the air. Due to the interference of the particles, the contrast and the resolution of the image are poor, and the detail information such as the image edge and the like may be lost or blurred, so that the subsequent work such as image analysis, understanding and the like is greatly influenced. The main task of the image defogging technology is to remove the influence of weather factors on the image quality so as to enhance the visibility of the image and improve the image quality; the defogging technology is mainly divided into two types: and recovering and enhancing the foggy image. Image enhancement is to make an image sharp or convert it into a form more suitable for human or machine analysis, which can highlight detail features in the image, improve image contrast, and thus improve image visual effect according to specific application requirements. Image enhancement does not require faithful reflection of the original image. Conversely, an image with some distortion (e.g., a prominent contour) may be sharper than the original image without distortion. The image enhancement method can be divided into different parts according to different processing modes of the image. The enhancement method can be divided into a space domain enhancement algorithm and a frequency domain enhancement algorithm according to different processing spaces in the image processing process. The spatial domain refers to an original pixel set of an image to be processed, the spatial domain enhancement algorithm refers to the operation of the image processing process in the original pixel space of the image, and the algorithm is based on a transformation function and carries out different transformations on the image pixels according to the enhancement requirement and the image characteristics so as to achieve the enhancement purpose; the frequency domain processing is based on the convolution theorem and the frequency domain enhancement typically enhances the important detailed information of the image by means of fourier transform or other orthogonal transform. The frequency domain image enhancement mainly has the functions of removing noise, enhancing edges, improving contrast, improving image display quality, enriching hierarchical information and the like.
Finally, the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting, and other modifications or equivalent replacements made by the technical solutions of the present invention by those of ordinary skill in the art should be covered within the scope of the claims of the present invention as long as they do not depart from the spirit and scope of the technical solutions of the present invention.
Claims (5)
1. A monitoring system for a power transmission network, wherein the power transmission network comprises a plurality of towers and a power transmission line, the power transmission line is connected through the towers, and the monitoring system comprises a monitoring camera, a processing module, a cruise robot, an alarm device and a terminal device; the monitoring cameras are arranged on each tower, connected with the alarm device and the terminal equipment, the processing module is positioned in the monitoring cameras and comprises an image acquisition module, an image processing module, an image analysis module and an image understanding module, and different alarm rules are preset in each monitoring camera according to different geographic positions and environmental conditions; the cruising robot is provided with a camera and an emergency device, is preset with a cruising route, and is in wireless connection with the monitoring camera; the alarm device and the terminal equipment are arranged on the monitoring workstation and used for sending out alarm sound and displaying alarm information.
2. The monitoring system for the power transmission network according to claim 1, wherein the cruise robot is internally provided with a lithium battery, externally provided with a solar cell panel, and provided with a crawler belt at the bottom.
3. A monitoring system for a power transmission network according to claim 2 wherein the emergency device comprises a heating device, a pressurizing device, a water tank and a moveable water gun, the heating device and the pressurizing device are connected with the water tank, and the moveable water gun is arranged at one end of the water tank.
4. The monitoring system for the power transmission network according to claim 1, wherein the image analysis module is provided with a background modeling algorithm, and a vector quantization and cluster analysis technique is adopted to process the pixel value of each pixel point.
5. The monitoring system for the power transmission network according to claim 1, wherein the image processing module employs a denoising technique, a defogging technique, an edge detection technique, and an image enhancement technique.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113780288A (en) * | 2021-08-02 | 2021-12-10 | 国网河南省电力公司信息通信公司 | Power grid data graph mining analysis platform and implementation method thereof |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113780288A (en) * | 2021-08-02 | 2021-12-10 | 国网河南省电力公司信息通信公司 | Power grid data graph mining analysis platform and implementation method thereof |
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Effective date of registration: 20220221 Address after: 030024 No. 6, Qingnian Road, Shanxi, Taiyuan Patentee after: STATE GRID ELECTRIC POWER Research Institute OF SEPC Address before: 030000 No. 6, Qingnian Road, Taiyuan, Shanxi Patentee before: STATE GRID ELECTRIC POWER Research Institute OF SEPC Patentee before: Shanxi Zhenzhong Electric Power Co., Ltd |
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