In response to the problems of unreasonable brightness control and high energy consumption in the highway tunnel lighting control system,a energy-saving control system for highway tunnel lighting based on fuzzy neural network is proposed,and de-tailed design is carried out from both hardware and software aspects.In the system hardware design,a schematic diagram of the sys-tem hardware architecture was designed,mainly including the main controller,slave controller,and terminal controller,including ca-pacitors,PLCs,etc.,providing hardware conditions through current and voltage signal changes control;In software design,image acquisition technology is used to binary separate the obtained images,and vehicle flow detection in highway tunnels is achieved using car lights.A fuzzy neural network is established,and the input and output layer variables of the network are set to determine the fuzzy subset and fuzzy subset membership function.The brightness is adjusted by controlling the switching time of lighting fixtures,achie-ving the design of an energy-saving control system for highway tunnel lighting.The system test results indicate that under different ve-hicle speed variables,the designed lighting energy-saving control system can reduce lighting energy consumption while providing ef-fective lighting functions.
维普
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