图像分析技术在核电站火灾探测中的应用  

Application of image analysis technology in nuclear power plant fire detection

作　　者：李建文[1] 刘旭升 孙宝承 顾加 LI Jian-wen;LIU Xu-sheng;SUN Bao-cheng;GU Jia(Suzhou Nuclear Power Research Institute.,Jiangsu Suzhou 215004,China;Institute of Advaneed Technology,University of Science and Technology of China,Anhui Hefei 230088,China)

机构地区：[1]苏州热工研究院有限公司,江苏苏州215004 [2]中国科学技术大学先进技术研究院,安徽合肥230088

出　　处：《消防科学与技术》2019年第10期1441-1443,共3页Fire Science and Technology

摘　　要：核电站内核岛厂房、KAC检修大厅等场所内部环境、结构较为复杂。重点分析核电站场所内火灾发生的特点,并运用图像分析技术的优势,提升核电站早期火灾探测响应能力,降低核电站运行过程中的火灾探测误报率,保障核电站在安全的环境运行。The internal environment and structures of nuclear island factory building and KAC maintenance hall of nuclear power plantare relatively complex. This report mainly discusses of the characteristics of fire in nuclear power plant sites, and the advantages of utilizing image analysis technology to enhance the early fire detection response ability of nuclear power plant, reduce the false alarm rate of fire detection during the operation of nuclear power plant,and make the nuclear power plant operate much more safely in the environment.

关 键 词：核电站 火灾探测 图像分析技术 

分 类 号：X924.4[环境科学与工程—安全科学] TU271.5[建筑科学—建筑设计及理论]