Due to the special characteristics of highway tunnels and vehicles, the interior of the tunnel is required to provide appropriate lighting to ensure the safety of driving vehicles, especially at the entrance section of the tunnel. At present, most of the tunnel entrance lighting control system only considers one single factor, the brightness outside the tunnel. However, in practice, the required lighting brightness in the tunnel is also related to traffic flow, speed, and other factors. Comprehensively utilizing these factors to improve the control strategy is urgently needed. To deal with this problem, this article has designed a multi-source information acquisition system for tunnel lighting based on the Internet of things technology, which combined with fuzzy control theory in order to develop an intelligent control system for LED lighting at the entrance section of the tunnel. The designed system was implemented and long-term tested in a real highway tunnel. The experimental results have shown that the system designed in this article can automatically control the brightness of the lighting inside the tunnel according to the real-time measurements of the brightness outside the tunnel, traffic flow, speed, and so on. Furthermore, the utilizations of the system can minimize the human and power consumption of tunnel lighting while ensuring the safety of tunnel traffic.

中文翻译：

---

基于物联网和模糊控制的高速公路隧道口LED照明智能控制系统设计与实现

由于公路隧道和车辆的特殊性，要求隧道内部提供适当的照明，以保证行车车辆的安全，尤其是隧道入口段。目前，大多数隧道入口照明控制系统只考虑一个因素，即隧道外的亮度。但在实际应用中，隧道内所需的照明亮度还与车流量、速度等因素有关。迫切需要综合利用这些因素来改进控制策略。针对这一问题，本文设计了一种基于物联网技术的隧道照明多源信息采集系统，结合模糊控制理论，开发了隧道入口段LED照明智能控制系统。设计的系统在真实的公路隧道中得到实施和长期测试。实验结果表明，本文设计的系统可以根据隧道外亮度、车流量、车速等实时测量结果，自动控制隧道内照明的亮度。此外，该系统的使用可以在保证隧道交通安全的同时，最大限度地减少隧道照明的人力和电力消耗。实验结果表明，本文设计的系统可以根据隧道外亮度、车流量、车速等实时测量结果，自动控制隧道内照明的亮度。此外，该系统的使用可以在保证隧道交通安全的同时，最大限度地减少隧道照明的人力和电力消耗。实验结果表明，本文设计的系统可以根据隧道外亮度、车流量、车速等实时测量结果，自动控制隧道内照明的亮度。此外，该系统的使用可以在保证隧道交通安全的同时，最大限度地减少隧道照明的人力和电力消耗。