In view of the low efficiency and intelligence of street lamps in the city street and the high proportion of manual monitoring, we designed an intelligent street lamp system. The street lamp system consists of hardware part and software part. The hardware part takes STM32F103ZET6 single chip microcomputer as the microcontroller of the main control system, the signal acquisition of the light sensor through I2C bus, and uses PWM dimming technology to adjust the brightness of LED lamp. The software part mainly uses the fuzzy control algorithm to achieve the intelligent control of street lamps includes the designed lighting fuzzy controller and vehicle speed fuzzy controller. The algorithm is simulated and analyzed by using MATLAB, and the algorithm is combined with the hardware system for experimental test. The simulation analysis and test show that the system can simulate of manual control process and method intelligently, which provides a reference for the current use of street lamp lighting in conventional sections.

Jinsong Wang, Pengju Yan. Intelligent Street Light Control System Based on Fuzzy Control Algorithm. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 7: 27-32. https://doi.org/10.25236/AJCIS.2022.050705.

[1] Chen, F. (2021). Research of Street Lighting and Energy-Saving Control System Based on Multi-Agent Technology. 

[2] Song, Y., 2021. Research on Intelligent Control of LED Street Light Based on Fuzzy Technology [J]. Fluid measurement and control. 

[3] Pan, Y. (2022). Design and Implementation of Intelligent Street Lamp Controller.

[4] Liao, G. (2021). Design of Intelligent Street Light Brightness Adjustment System Based on PID Control Algorithm.

[5] Chen, c.(2022). Research on Intelligent Control System of Solar Led Street Lamp.