Abstract
In order to solve the problem that the traditional street lamps cannot be controlled dynamically according to the specific conditions of the road at night, an intelligent street lamp control system based on speed and sensor detection information is designed to adjust the number of street lamps in front of the vehicle which are turned on in advance, including the illumination level of street lamps. The system combines Radio frequency identification technology to read the tag information of the vehicle through the reader installed on the street lamp and calculate the driving speed and the number of lamps to be turned on. The sensors are installed on the street lamp node to collect the environmental illumination and the vehicle driving information in real time. According to the fuzzy control strategy, the information is analyzed and calculated and the illumination level of the street lamp is adjusted accordingly. MATLAB simulation results show that the system can adjust the illumination level of the lamp quickly according to the result of the sensors, thus reducing the energy consumption of the system.
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