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大连海事大学 信息科学技术学院,辽宁 大连,中国,116026
收稿日期:2015-03-20,
修回日期:2015-04-29,
纸质出版日期:2015-09-25
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秦莉, 董丽丽, 许文海等. 隧道照明闭环反馈智慧控制系统[J]. 光学精密工程, 2015,23(9): 2473-2481
QIN Li, DONG Li-li, XU Wen-hai etc. Closed-loop feedback intelligent control system for tunnel lighting[J]. Editorial Office of Optics and Precision Engineering, 2015,23(9): 2473-2481
秦莉, 董丽丽, 许文海等. 隧道照明闭环反馈智慧控制系统[J]. 光学精密工程, 2015,23(9): 2473-2481 DOI: 10.3788/OPE.20152309.2473.
QIN Li, DONG Li-li, XU Wen-hai etc. Closed-loop feedback intelligent control system for tunnel lighting[J]. Editorial Office of Optics and Precision Engineering, 2015,23(9): 2473-2481 DOI: 10.3788/OPE.20152309.2473.
为了解决当前隧道照明中存在的耗电量大
照度测量繁杂
难以实时保证实际照明亮度等问题
设计了一种隧道照明闭环反馈智慧控制系统。该系统能够根据车辆有无、车辆行为信息和环境信息实时调整照明状态实现按需照明;采用摄像机图像亮度测量方法
通过图像灰度与亮度转换来实时获取隧道路面的亮度。为保证照明需求
系统采用PID闭环反馈调节方法
以照明所需亮度和实际测量亮度为基础
实时调节照明系统输出。实验证明
设计的系统安全可靠
自适应性强
具备实时亮度测量和闭环反馈调节功能;实现了按需照明
能保证实际照明亮度实时达到标准要求
同时最大限度地节能降耗;并能在保证行车安全的同时使人眼获得最佳的视觉感受。
To solve the current problems in tunnel lighting
such as power consumption
illumination measuring complex
and difficult to ensure the actual luminance in real-time
a tunnel lighting closed-loop feedback intelligent control system is presented in this paper. The system realizes the lighting by need through adjusting lighting states based on the vehicle behavior information and environmental perception information collected by a sensor. It uses a camera image to measure luminance
and acquires pavement luminance in real-time through the transformation relationship between the image gray and pavement luminance. To meet the required luminance by lighting
the PID closed-loop feedback adjustment method is used to adjust the output of the lighting system in real-time and to ensure the actual luminance. The experiment shows that the designed system is secure and reliable and has higher adaptive ability. It is characterized by luminance measurement in real time
closed-loop feedback adjustment
lighting by need and can ensure the actual luminance to meet standard requirements. Meanwhile
it reduces energy consumption and offers an optimum visual experience for human eyes at safety driving vehicles.
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