基于物联网及遗传神经网络的隧道照明控制系统

Genetic Algorithm-neural Networks Tunnel Illumination Control System Based on the Internet of Thing

针对现阶段公路隧道照明控制存在的一些问题,以及电能大量浪费的现象,以物联网技术为切入点,搭建了无线控制网络,实现了对隧道照明系统的实时控制及远程监控。详细阐述了系统的整体结构和控制流程,并利用遗传神经网络算法进行优化,从而有效地提高了照明效率,降低了能耗。

Aiming at some problems existing in highway tunnel illumination control system and the phenomenon of energy-wasting,a wireless control network was built to realize the real-time tunnel illumination control and remote monitoring based on the Internet of thing.By analyzing the system structure and control process,the genetic algorithm-neural network was optimized,and finally lighting efficiency and energy consumption were improved as well.