Adaptive Energy-saving Control Algorithm and Monitoring System for Urban Road Lighting

被引：0
|
作者：
Zhou H. [1 ]
Zheng Y. [2 ,3 ]
He X. [2 ,3 ]
机构：
[1] College of Mechanical and Vehicle Engineering, Hunan University, Changsha
[2] College of Electrical and Information Engineering, Hunan University, Changsha
[3] Zhongjin Peike Construction Co Ltd, Changsha
来源：
Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences | 2021年 / 48卷 / 08期
关键词：
Adaptive algorithms; Energy saving; Sunrise and sunset algorithm; Time-sharing lighting dimming; Wireless sensor networks;
D O I：
10.16339/j.cnki.hdxbzkb.2021.08.003
中图分类号：
学科分类号：
摘要：
In order to overcome the problem that the existing urban road lighting street lamp control systems are not able to balance energy saving and driving safety, an adaptive energy saving control algorithm for urban road lighting is proposed and studied. The algorithm uses real-time average brightness feedback on the road surface, compares the brightness of the road surface based on the standard design during sunrise and sunset hours, adaptively adjusts the actual switch light time. According to the average traffic flow of the road hours, the corresponding road lighting brightness is calculated by the hour during the night lighting period, realizing the time-division dimming control strategy that matches the statistical results of the traffic flow, which can guarantee driving safety and realize obvious energy saving. It describes the working principle of the algorithm and the flow chart of the program in detail, and introduces the structure and function of the urban road lighting monitoring system based on the LoRa wireless internet of things. The actual operation effect of the system in the same weather conditions and time on a main road in Hunan Province in summer shows that the system can reliably realize the monitoring functions of the remote wireless switch and dimming control of the regional road street lights, verifying the effectiveness of the energy-saving adaptive control algorithm, with an energy saving rate of 39.3% compared with the traditional control methods. © 2021, Editorial Department of Journal of Hunan University. All right reserved.
引用
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页码：19 / 26
页数：7
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