Research On Tunnel Lighting Control System Based On Power Line Carrier/Wireless Dual Mode Communication

With the rapid development of highway traffic in China,the mileage of highway tunnels is increasing day by day.The semi-enclosed tunnel environment prevents natural light from shining into the tunnel,which results in great difference between the internal and external environment of the tunnel.In order to ensure the safety of vehicles,the tunnel lighting device needs to be turned on even in the daytime,which leads to the high operating cost of the tunnel.This thesis aims at the problems of high energy consumption,low safety and low intelligence in the traditional tunnel lighting control system.Taking driving safety as the premise,energy saving and environmental protection as the goal,using power line carrier and wireless communication technology,combined with improved genetic algorithm to optimize the lighting of the neural network dimming algorithm,completed the lighting device in the tunnel on-demand lighting,and built a dual-mode communication tunnel lighting control system.The specific tasks are as follows:(1)The overall scheme design of the tunnel lighting control system with dual-mode communication.Through the study of the tunnel lighting control system,the requirements of highway tunnel lighting design,the tunnel control method and the signal transmission method are analyzed,the functional requirements of the lighting control system are determined,and the overall architecture of the control system is designed.(2)According to the actual application requirements,the hardware circuit design of each module of the dual-mode communication tunnel lighting control system is completed.The control system mainly includes dual-mode communication module,microprocessor control module,signal acquisition module and LED dimming module.While introducing the hardware design of each module in detail,it also elaborates the working principle of each part in the control system.(3)Lighting dimming algorithm based on improved genetic algorithm to optimize neural network.First,the algorithm structure is designed from three aspects: lighting dimming algorithm structure,tunnel lighting brightness calculation model and data preprocessing.The algorithm uses the signal acquisition module to obtain the brightness of the external environment of the tunnel,traffic flow and speed data of the driving vehicle in real time as input,The dimming brightness of the lighting device as output.By comparing the neural network algorithm to verify the dimming effect of the algorithm in this thesis,the results show that the algorithm of this thesis is 35.1% lower than the neural network algorithm mean square error,the algorithm simulation time is reduced by 64.1%,which effectively improves the accuracy of lighting dimming.Finally,the experiment proves that the energy saving effect of the dimming algorithm is more obvious.(4)Software design and function test of tunnel lighting control system based on dual-mode communication.According to the system designed in this thesis,after completing the programming of each module,the dual-mode communication module and the control system are tested.The test results show that the system is safe and reliable and can meet the application requirements of tunnel lighting.