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核电站主泵区域由于辐射剂量大且空间区域不规则,传统的火警探测器无法达到应有的探测效果,目前普遍采用的空气采样探测系统,其设备环节多且存在系统延迟、误报、反应迟钝等问题;针对此现象,该文结合计算机技术和数字图像处理技术提出了基于视频的火灾探测系统,并根据主泵区域烟雾的特征,用MATLAB软件对视频进行仿真识别,结果表明,该区域使用基于视频的火灾探测技术,能在火灾初期做出快速反应,为核电站的多样性探测又提供了一种途径。
Due to the large radiation dose and the irregular spatial region in the main pump area of the nuclear power station, the conventional fire detector can not achieve the proper detection effect. Currently, the air sampling and detection system commonly used has many equipment links and delays, false alarms and unresponsive In view of this phenomenon, this paper presents a video-based fire detection system based on computer technology and digital image processing technology. According to the characteristics of smoke in the main pump area, MATLAB software is used to simulate the video. The results show that the use of this area Video-based fire detection technology can make rapid response in the early stage of fire and provides a way for the diversity detection of nuclear power stations.