Application of AI Image Recognition in the Omnidirectional Monitoring System for Power Transmission Lines. (30th November 2021)

• Record Type: Journal Article
• Authors: Zeng, Siming; Jia, Jingran; Ma, Tianxiang; Jia, Boyan; Duan, Xin
• Other Names: Mu Zhendong Academic Editor.
• Is Part Of: Advances in multimedia. Volume 2021(2021)
• Publication Date: 2021-11-30
• Subjects: Multimedia systems -- Periodicals; Computer networks -- Periodicals; Multimédia; Réseaux d'ordinateurs; Computer networks; Multimedia systems; Periodicals; 006.7
• DOI: 10.1155/2021/3073248
• Languages: English
• ISSNs: 1687-5680

Abstract

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.