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公路长隧道的照明节能控制系统的设计与研究

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提出了一个整合了模糊神经网络与可编程逻辑控制器(PLC)技术的隧道照明节能控制系统。根据隧道口外实时光照度、车流和速度信息来调节照明系统,形成一个具有 3 个输入参数和单一输出的控制模型,通过模糊逻辑与BP神经网络的结合进行实时动态优化。利用PLC在控制技术上的优点,确保达到节能的控制效果。仿真实验验证了这一算法在隧道照明节能方面的效益,并通过具体案例分析表明改造后的公路隧道照明节能控制系统回报率高,显著减少了电力消耗,具有良好的经济效益,对当前隧道照明控制研究起到一定的借鉴意义。
Design and Study of Lighting Energy Saving Control System for Long Highway Tunnels
In the paper,a control system that integrates fuzzy neural network and programmable logic controller(PLC)technology is proposed.According to the real-time illumination,traffic flow and speed information outside the tunnel entrance,the lighting system is adjusted to form a control model with 3 input parameters and a single output.The real-time dynamic optimization is carried out by combining fuzzy logic and BP neural network.The advantage of PLC in control technology is used to ensure the control effect of energy saving.Simulation experiments verify the efficiency of this algorithm in tunnel lighting energy saving,and the specific case analysis shows that the transformed highway tunnel lighting energy saving control system has a high return rate,significantly reduces power consumption,and has good economic benefits,which plays a certain reference significance for current tunnel lighting control research.

tunnel engineeringtunnel lightingemission reductionfuzzy neural networkPLC controlenergy conservation and emission reduction

倪娜、唐靖、曾戈茹

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四川师范大学工学院 成都市 610101

隧道工程 隧道照明 智能照明 模糊神经网络 PLC控制 节能减排

2024

公路
中国交通建设集团有限公司

公路

CSTPCD北大核心
影响因子:0.54
ISSN:0451-0712
年,卷(期):2024.69(12)