Abstract
With the continuous advancement of social economy, electric power, as an essential resource, plays an important supporting role for the development of industry and the lives of residents. As electric power itself is dangerous to a certain level, it is crucial to use the electric power rationally and ensure the safe application of electrical equipment. In this paper, AI image recognition technology is introduced to establish a comprehensive monitoring system for power transmission lines. Through the control of the potential risks of the transmission lines, emergency treatment of power transmission lines is implemented, which has provided an application support for the safe use of power equipment. Simulation experiments have verified that the image recognition technology based on AI can support omnidirectional monitoring of power transmission lines effectively.
Highlights
With the advancement of social economy, the demand for electric power resources has become more and more urgent [1, 2]
Video surveillance devices are extensively installed on the towers of power transmission lines because they can help grasp the conditions on site accurately through video, pictures, and other means. erefore, they have been widely promoted and applied as an essential means of auxiliary patrol inspection for power transmission lines, identification of potential hazardous points, and prevention of damage by external forces [6, 7]. e primary function of the traditional video monitoring devices is to complete the transmission of pictures and videos back during the work period and implement the analysis and judgment of the status of the power transmission lines through the algorithm at the back end and the manual processing and identification
In view of the potential hazardous points that are subject to the damage by the fleeting external forces, the lag in the response speed can lead to serious consequences [8]
Summary
With the advancement of social economy, the demand for electric power resources has become more and more urgent [1, 2]. E primary function of the traditional video monitoring devices is to complete the transmission of pictures and videos back during the work period and implement the analysis and judgment of the status of the power transmission lines through the algorithm at the back end and the manual processing and identification. In terms of the monitoring of power transmission lines, the analysis requirements are mainly reflected in two aspects as the following: intelligent judgment of problems and early warning in a timely manner. In the intelligent analysis of the images, firstly, it is necessary to carry out the corresponding interpretation and extraction of the contents from the relevant images (such as color, texture, shape, and other typical contents) in addition to in-depth mining and exploration based on the existing knowledge [12, 13]. Pictures recognized based on the algorithm, which is of great help to the management and control of all hazardous points and the elimination of any potential risk
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