基于车辆行为信息感知的隧道照明亮度自动调节系统

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英文篇名：Automatic brightness adjustment system based on vehicle behavior information perception for tunnel illumination 作者：魏清华 ; 梁波 英文作者：WEI Qinghua;LIANG Bo;School of Civil Engineering,Chongqing Jiaotong University;Chongqing Communications Planning Survey & Design Institute;State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering,Chongqing Jiaotong University; 关键词：车辆行为 ; 信息感知 ; 隧道照明 ; PID闭环反馈 ; 自动调节 ; 调光信号 英文关键词：vehicle behavior;;information perception;;tunnel illumination;;PID closed-loop feedback;;automatic adjustment;;dimming signal 中文刊名：XDDJ 英文刊名：Modern Electronics Technique 机构：重庆交通大学土木工程学院;重庆市交通规划勘察设计院;重庆交通大学山区桥梁与隧道工程国家重点实验室培育基地; 出版日期：2019-01-15 13:51 出版单位：现代电子技术 年：2019 期：v.42;No.529 基金：国家自然科学基金(71401020)~~ 语种：中文; 页：XDDJ201902024 页数：5 CN：02 ISSN：61-1224/TN 分类号：102-105+110

摘要

基于模糊神经网络的隧道照明亮度调节系统无法实现隧道亮度信号的反馈调控,调节效果和节能效果均较差。因此设计基于车辆行为信息感知的隧道照明亮度自动调节系统。通过车辆行为感知设备感知隧道洞内和洞外的车速、车流量以及车辆通过情况,采用的主控制芯片是STM32F103RCT6的主控模块,采集车辆行为感知设备和USREGAL LUX CS 201亮度检测器获取的车辆相关信号和调光信号,并将这些信号传输给监控中心,确保总体调光控制通过隧道现场的照明单元进行调控;系统通过无线监控终端基于主控模块反馈的信号,实现隧道照明亮度的自主调控。系统软件采用PID闭环反馈调节原理实现隧道内亮度的准确调节。实验结果表明,所设计系统可对有无车辆通过以及各车速情况下的隧道亮度进行有效调节,采用所设计系统比不使用所提系统最高可节省日能耗电量244 kW·h,节能效果显著。
        The tunnel illumination brightness adjustment system based on fuzzy neural network can not realize feedback regulation of tunnel brightness signals,and has poor adjustment and energy-saving effects. Therefore,an automatic brightness adjustment system based on vehicle behavior information perception is designed for tunnel illumination. The vehicle behavior perception devices are used to perceive the vehicle speed,traffic flow,and vehicle passing situations inside and outside the tunnel.The main control module taking the STM32F103RCT6 as the main control chip is used to collect vehicle-related signals and dimming signals obtained by the vehicle behavior perception devices and the brightness detector USREGAL LUX CS 201. These signals are transmitted to the monitoring center to ensure that the overall dimming control is regulated by the lighting units on the tunnel site. In the system,the automatic brightness regulation of tunnel illumination is realized by means of the wireless monitoring terminal and on the basis of feedback signals of the main control module. For the system software,the principle of PID closed-loop feedback adjustment is adopted to realize accurate brightness adjustment in the tunnel. The experimental results show that the designed system can effectively adjust the brightness in the tunnel with or without passing vehicles at various speeds,and the designed system can save up to 244 kW·h of daily energy consumption in comparison with the system without using the proposed system,which has a remarkable energy-saving effect.

引文

[1]张利东,秦莉,蒋海涛,等.隧道照明智能监控软件系统的设计与实现[J].公路交通科技,2017,34(10):92-99.ZHANG Lidong,QIN Li,JIANG Haitao,et al. Design and implementation of intelligent monitoring software system for tunnel lighting[J]. Journal of highway and transportation research and development,2017,34(10):92-99.
    [2]黄凤武,陈勇,肖华,等.隧道照明节能控制系统研究与实现[J].公路工程,2008,33(6):111-114.HUANG Fengwu,CHEN Yong,XIAO Hua,et al. Research and realization of tunnel illumination energy-saving control system[J]. Highway engineering,2008,33(6):111-114.
    [3]秦慧芳,郭佑民,罗荣辉.基于模糊神经网络的公路隧道照明控制系统研究[J].隧道建设,2017,37(z2):115-120.QIN Huifang,GUO Youmin,LUO Ronghui. Study of illumination control system of highway tunnel based on fuzzy neural network[J]. Tunnel construction,2017,37(S2):115-120.
    [4]张晓芹,胡江碧,王猛,等.基于驾驶视认需求的隧道中间段路面亮度需求[J].北京工业大学学报,2016,42(5):768-773.ZHANG Xiaoqin,HU Jiangbi,WANG Meng,et al. Road surface luminance of tunnel interior zone based on the driving visual cognition demand[J]. Journal of Beijing University of Technology,2016,42(5):768-773.
    [5]苏玉泽,任清华,孟庆微.低信噪比下TDCS的压缩感知稀疏信道估计[J].计算机仿真,2016,33(1):205-208.SU Yuze,REN Qinghua,MENG Qingwei. A compressed sensing channel estimation method for TDCS in low SNR conditions[J]. Computer simulation,2016,33(1):205-208.
    [6]冯守中,高巍,王军.蓄能发光多功能涂料辅助隧道照明试验研究[J].现代隧道技术,2016,53(4):189-194.FENG Shouzhong,GAO Wei,WANG Jun. Experimental study on energy-storing self-illuminated multi-functional coating for auxiliary lighting in tunnels[J]. Modern tunnelling technology,2016,53(4):189-194.
    [7]曹立波,陈峥,秦勤,等.基于车辆位置感知的自动快速公交系统[J].中国公路学报,2017,30(11):115-121.CAO Libo,CHEN Zheng,QIN Qin,et al. Automatic bus rapid transit system based on vehicle position sensing[J]. China journal of highway and transport,2017,30(11):115-121.
    [8]秦慧芳.隧道照明自动控制系统的设计[J].现代建筑电气,2016,7(8):59-61.QIN Huifang. Design of tunnel lighting automatic control system[J]. Modern architecture electric,2016,7(8):59-61.
    [9]潘国兵,梁波,皮宇航,等.基于反应时间的隧道照明缩尺模型集成系统的研制与应用[J].现代隧道技术,2016,53(3):26-32.PAN Guobing,LIANG Bo,PI Yuhang,et al. Development and application of an integrated scale model system of tunnel lighting based on reaction time[J]. Modern tunnelling technology,2016,53(3):26-32.
    [10]董丽丽,石娜,张利东,等.低透过率下隧道照明亮度对能见度的影响[J].光子学报,2017,46(2):20-27.DONG Lili,SHI Na,ZHANG Lidong,et al. Influence of tunnel lighting brightness on visibility under low transmittance[J]. Acta Photonica Sinica,2017,46(2):20-27.