A Power Operation Site Safety Assistant System Based on Convolutional Neural Network

Abstract

Abstract Field operation safety is the key to the safety production of electric power enterprises. The current safety supervision of on-site work mainly relies on the management regulations. In lack of efficient, reliable and intelligent technical means, the management personnel have to supervise and inspect safety procedure on-site. In order to solve the high cost problem of on-site safety management, an intelligent auxiliary system based on deep learning convolutional neural network is proposed in this paper. The system mainly includes three parts: The portable terminal of operation ticket, AI data recorder and neural network calculation unit. It can realize real-time detection of on-site violations during power grid operation. The deep learning AI method is innovatively introduced into the field of safety supervision of power work site, and it provides a new intelligent way of safety supervision.