摘要
为解决公路隧道中照明系统的光强分布不对称和调光系统高延时问题,在分析公路隧道入口、过渡、中间和出口段光强分布特征,以改进调光系统延时为主要目的基础上,提出和实现了基于CAN总线多节点组网的多源模糊控制智能隧道照明系统。本文所实现的网络系统改进了传统隧道照明系统灯光不可自适应车流量调节的不足,具体设计了在隧道入口和出口段引入车流和环境光照等因素的多源调光网络节点,在隧道过渡和中间段的考虑驾驶员视觉刺激造成视盲的问题实现车流跟随实时模糊调光网络节点,在隧道全段车流监测的网络节点协调仲裁后,实现实时智能调光自适应照明。试验部分在原型隧道系统上成功验证本文所设计多源自适应智能隧道调光系统,可实现车来灯亮、车走灯灭,车多强亮、车少弱亮,所设计系统在保障车辆安全通行隧道基础上,可在一定程度上降低电能消耗,有很强的工程应用价值。
In order to solve the problems of asymmetric light intensity distribution of lighting system and high delay of dimming system in highway tunnel,based on the analysis of light intensity distribution characteristics at the entrance,transition,middle and exit sections of highway tunnel,and with the main purpose of improving the delay of dimming system,a multi-source fuzzy control intelligent tunnel lighting system based on CAN bus multi node networking is proposed and implemented.The network system implemented in this paper improves the deficiency of the traditional tunnel lighting system that the lighting cannot adapt to the traffic flow regulation.A multi-source dimming network node is specifically designed to introduce the traffic flow and ambient light factors into the tunnel entrance and exit sections.In the transition and middle sections of the tunnel,the problem of visual blindness caused by the driver's visual stimulation is considered to realize the real-time fuzzy dimming network node for traffic flow following,The real-time intelligent dimming adaptive lighting is realized after the coordination and arbitration of the network nodes for the whole section of the tunnel traffic flow monitoring.In the experimental part,the multi-source adaptive intelligent tunnel dimming system designed in this paper has been successfully verified on the prototype tunnel system,which can realize that the vehicle light comes on,the vehicle light goes off,the vehicle light is more stronger,and the vehicle light is less weak.On the basis of ensuring the safe passage of vehicles through the tunnel,the designed system can reduce the power consumption to a certain extent,
作者
杨云
刘晨
丁鹏鸽
韩浩壮
段理
Yang Yun;Liu Chen;Ding Pengge;Han Haozhuang;Duan Li(School of Information and Engineering,Chang'an University,Xian 710018,P.R.China;School of Materials Science and Engineering,Chang'an University,Xian 710018,P.R.China)
出处
《地下空间与工程学报》
CSCD
北大核心
2023年第S02期955-962,970,共9页
Chinese Journal of Underground Space and Engineering
基金
陕西省自然科学基金重点研发计划(2021GY-255)
