摘要
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。
As the high doses of radiationand the unregulated distribution of spatial region,traditional fire detectors cannot reach the desired effect in the RCP pumps area of Nuclear Power Plant. At present,fire detecting system was extensively conducted by air sampling,but there are also many problems existing,like the awkward and miscellaneous devices,false alarm,slow or delayed response problems. For this phenomenon,the study puts forward the video-based fire detection technology combined with computer science and digital image processing techniques,with MATLAB software identifying the video according to the fire features. The results show that the video-based fire detection technology can response quickly in the initial fire hazard,which can also improve the diversity of fire detection in nuclear power plant.
出处
《自动化与仪器仪表》
2016年第2期207-210,共4页
Automation & Instrumentation
