电力作业现场智能安全监督研究与应用

Research and Application of Intelligent Safety Supervision in Power Operation Sites

摘要:

针对目前电力作业现场安全监督过度依赖于人工、自动化智能化程度低，从智能安全监督的监督内容、方法以及监督算法上展开研究，并基于深度感知摄像头、图像识别、机器学习等技术，实现了对作业现场人员安全生产行为的实时监视和智能预警，能大幅提高作业现场安全管控的自动化与智能化水平以及对作业现场行为违章的威慑力，其研究成果在多个变电站、换流站以及实验室等典型作业场景下得到成功应用，显著提升了作业现场安全生产水平。

Abstract:

At present, the safety supervision of power operation sites is overly dependent on manual work, with a low degree of automation and intelligence. So the contents, methods and algorithms of intelligent safety supervision are studied, and based on depth perception camera, image recognition, machine learning and other technologies, real time monitoring and intelligent early warning for safety production behaviour of the personnel in the site are achieved, which can significantly improve the automation and intelligence level of safety control as well as the deterrent effect of violation of rules in the site. And the research results have been successfully applied to typical operation scenarios in several substations, converter stations and laboratories, which significantly improves the safety level in the sites.