Tunnel Intelligent Lighting Control System Based on Multi-sensor Information Fusion
The traditional tunnel lighting control system adopts the method of time sequence controller and sin-gle 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,e-vent detection,fire alarm signal,etc.),adopts the technology of information fusion and AI deep learning intelli-gent algorithm to judge,process and analyze the data,generate the control scheme,output the corresponding con-trol signal,thus accurately control the luminance of tunnel lighting,ensure traffic safety in tunnels.
NETL
NSTL
万方数据
维普
