隧道公路因环境相对封闭的特殊性，内外光线亮度存在很大的差异。为了保证驾驶员行车的安全性，其内部的照明灯具即使在白天也需保持开启状态。居高不下的耗电量增加了高速公路的运营成本。在实际运营中，也存在过度照明的情况，不仅造成了电能浪费，而且也不利于驾驶员行车。因此，研究隧道照明系统的节能化和智能化技术具有重要的研究意义和应用价值。 本文利用电力线载波通信技术不需要另外架设传输线就可以传输信号的特点，以电力线载波通信技术为基础，设计开发了一种隧道照明控制系统，该系统围绕电力线载波通信技术和调光控制策略两个方面进行研究。基于电力线载波通信信道的特点，选用了抗干扰、抗衰落性较好的正交频分复用（Orthogonal Frequency Division Multiplexing）调制解调通信技术，并针对最小二乘（Least Square）信道估计算法估计精度低的缺点，提出了一种LS-FEC迭代的信道估计改进算法，其matlab仿真结果表明改进算法比传统算法更好的降低了误码率。文中选用以OFDM技术为核心的LME2981双模芯片实现电力线载波信号的传输，设计了以LME2981芯片为核心的隧道照明控制系统。系统主要包括主从控制器、LED调光系统、采集装置三部分，主从控制器主要由调制解调器和STM32芯片组成。确定了隧道照明调光策略，根据《公路隧道照明设计细则》中的要求，对影响隧道内部照明的洞外亮度、车流量、车速三个参数，进行数据预处理，针对隧道入口处照明亮度建立三输入一输出的模糊神经网络模型进行数据融合，实现调光控制；最后对电力线载波通信功能和隧道照明控制系统的调光功能进行实验测试，实验结果表明系统能够实现通信和调光功能。 本文所设计的控制系统若与现行实际隧道结合，可以应用于隧道中其他设备的控制，其控制方法可推广应用到智能家居、智能城市等系统，具有一定的研究意义和应用价值。

Because of the special nature of the relatively closed environment of tunnel roads, there are great differences in the brightness of internal and external lights. In order to ensure the safety of drivers their internal lighting fixtures need to be kept open during the day. High energy consumption increases the operating costs of highways. In actual operation, the internal lighting of the tunnel is excessive, which is not conducive to driver’s driving, but also leads to waste of power. Therefore, it has important theoretical significance and application value to study the energy-saving and intelligent technology of tunnel lighting system. Power line carrier communication technology is used to transmit signals without additional transmission lines, then the tunnel lighting control system based on the power line carrier communication technology is designed and developed. The system is studied from two aspects that are power line carrier communication technology and dimming control strategy. The specific work is as follows: First, the principle of power line carrier communication is introduced, and the characteristics of the power line carrier communication channel are analyzed and summarized. Based on the specific conditions of the project, the OFDM modulation and demodulation communication technology is selected, at the same time, a detailed explanation of its theory. Aiming at the shortcomings of the low estimation accuracy of LS channel estimation algorithm, an inproved LS-FEC iteration channel estimation algorithm is proposed. The matlab simulation results show that the improved algorithm can reduce the bit error rate better than the traditional algorithm. The system selects LME2981 dual-mode chip which uses OFDM algorithm as the core to implement power line signal modulation and demodulation. Next, the tunnel lighting dimming strategy is determined. According to the requirements in the ‘Specifications for Lighting Design of Highway Tunnels’, date fusion processing is performed on the parameters that affect the interior lighting of the tunnel, including the brightness outside the tunnel, the traffic flow and the vehicle speed. A three-input-one-output fuzzy neural network model is established for dimming control of the illumination brightness at the entrance of the tunnel. Then, a tunnel lighting control system is designed based on LME2981 chip. The system mainly consists of a master-slave controller composed of a modem and an STM32 chip, an LED dimming system,an acquisition device. And a detailed system designs according to the electrical characteristics and functional characteristics. Afterwards, the power line carrier communication function and the dimming function of the tunnel lighting control system are experimentally tested. The results show that the system can realize communication and dimming functions. Finally, the thesis summarizes and clarifies the deficiencies, raising questions and solving ideas. The control system designed in this thesis can be applied to the control of other equipment in the tunnel if it is combined with the actual tunnel conditions. The control method can be applied to smart homes, smart cities and other systems. It has certain research significance and application value.