摘要
为如何有效缓解超低排放改造项目分布地域广、安全监管对象面广量大造成的安全监管力量相对不足的矛盾,在某超低排放改造项目现场利用信息化安全管理系统,科学利用信息化手段,开展现场违章行为安全监控智能识别研究工作,通过人工智能(AI)识别强化现场安全监督,实施安全视频化记录,实现违章行为预警,督促落实安全教育岗前培训落实,确保安全管理压力传导至“最后一米”。
In order to effectively alleviate the contradiction of relatively insufficient safety supervision force caused by the wide distribution of ultra-low emission retrofit projects and the large number of safety supervision objects,an information-based safety management system was used at the site of an ultra-low emission retrofit project,and the information was used scientifically.By using artificial intelligence(AI)identification to strengthen on-site safety supervision,implement safety video recording,realize early warning of illegal behavior,supervise the implementation of safety education and pre-job training,and ensure the pressure of safety management Conducted to the"last meter".
作者
金军洁
JIN Jun-jie(Zhejiang Tiandi Environmental Protection Technology Co.,Ltd.,Hangzhou 310018,China)
出处
《价值工程》
2022年第10期53-55,共3页
Value Engineering
关键词
信息化
项目安全管理
人工智能(AI)识别
informatization
project safety management
artificial intelligence(AI)identification