摘要
从发电企业现场安全管理存在的突出风险出发,综合运用网络通信技术、人工智能等科技手段,结合电厂生产管理实际需求,通过边缘计算实现人员不安全行为、设备不安全状态、环境不安全因素的识别预警,降低安全事故发生概率,提高现场安全管控能力。
Starting from the prominent risks existing in the on-site safety management of power generation enterprises,network communication technology,artificial intelligence and other scientific and technological means are comprehensively used.Combined with the actual needs of power plant production management,the identification and early warning of personnel unsafe behavior,equipment unsafe state and environmental unsafe factors are realized through edge calculation,so as to reduce the probability of safety accidents and improve the ability of on-site safety management and control.
作者
段美前
DUAN Meiqian(Chongqing Datang International Pengshui Hydropower Development Co.,Ltd.,Chongqing 409600,China)
出处
《电工技术》
2021年第21期8-10,13,共4页
Electric Engineering
关键词
视频识别
边缘计算
风险预警
安全管控
video recognition
edge computing
risk warning
safety control