基于多传感信息融合的隧道智能照明控制系统

Tunnel Intelligent Lighting Control System Based on Multi-sensor Information Fusion

传统隧道照明控制系统采用时序控制器、单一控制源的方法控制隧道照明灯具,未考虑环境因素对隧道照明的影响,如天气条件、隧道通风状况、交通量以及车速对照度的要求等,不能完全满足隧道照明的要求,并且耗费大量的电能。基于此,提出利用多种传感检测信号(光照强度、车流量、事件检测、火灾报警等信号),采用信息融合技术和AI深度学习智能算法技术进行数据判断、处理与分析生成控制方案,输出相应的控制信号,从而精确地控制隧道照明灯具亮度,保证隧道内行车安全。

The traditional tunnel lighting control system adopts the method of time sequence controller and single control source to control the tunnel lighting.The influence of environmental factors on tunnel lighting,such as weather conditions,tunnel ventilation,traffic volume and the requirements of speed contrast,is not considered which can not fully meet the requirements of tunnel lighting,and consumption of a large amount of electricity.The scheme proposed in this paper utilizes a variety of sensor detection signals(such as light intensity,traffic flow,event detection,fire alarm signal,etc.),adopts the technology of information fusion and AI deep learning intelligent algorithm to judge,process and analyze the data,generate the control scheme,output the corresponding control signal,thus accurately control the luminance of tunnel lighting,ensure traffic safety in tunnels.