基于网络视频传输的烟雾监控系统的设计

Design of Smoke Monitoring System Based on Network Video Transmission

随着计算机技术和网络技术的不断发展,智能视频监控系统以其极高的市场应用价值和广阔的发展前景而受到社会关注。针对传统的烟雾传感器和温度传感器在火灾烟雾识别过程中灵敏度低、报警延迟等局限性,分析和研究了烟雾识别算法、视频压缩和网络传输技术。选用了DM642实现烟雾算法,i.MX27实现视频压缩和网络传输,由此构建了新型嵌入式烟雾视频监控系统。该系统基于OTSU阈值分割的背景差分法和帧间差分法来识别烟雾可疑区域,通过烟雾的YUV色彩模型、小波能量分析算法,能较好地识别火灾烟雾,并能通过基于H.264压缩的网络传输技术实现视频监控的高清度和稳定性。

ln this paper,the smoke detection algorithm and video compression and network transmission technology are analyzed and studied in view of the limitations of traditional smoke sensor and temperature sensor in the process of fire smoke recognition,such as low sensitivity and alarm delay.This paper chooses DM642 to implement the smoke algorithm, i.MX27 realizes video compression and network transmission,thus constructs a new embedded smoke video monitoring sys- tem.The system is based on the background difference method and the interframe difference method of OTSU threshold segmentation to identify the smoke suspicious area.