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.
作者
魏清华
梁波
WEI Qinghua;LIANG Bo(School of Civil Engineering,Chongqing Jiaotong University,Chongqing 400074,China;Chongqing Communications Planning Survey & Design Institute,Chongqing 401121,China;State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering,Chongqing Jiaotong University,Chongqing 400074,China)
出处
《现代电子技术》
北大核心
2019年第2期94-97,102,共5页
Modern Electronics Technique
基金
国家自然科学基金(71401020)~~
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
vehicle behavior
information perception
tunnel illumination
PID closed-loop feedback
automatic adjustment
dimming signal
