Abstract
This paper introduces a street lamp control system based on zigbee technology and neural network algorithm. Street lamp control system consists of microcontrollers, sensors, displays, buttons, ZigBee, street lights. This paper mainly introduces the microcontroller as the core of the control street lamp, and uses various sensors and ZigBee to control the switch of the street lamp in different time, different weather and different road conditions to improve the energy saving of the street lamp. It also introduces how to use the neural network algorithm to realize the feasibility of the multi-function of the street lamp and the realization method. Neural network algorithm is used to expand the function, to achieve license plate number recognition function. For the street lamp system in the future management and development to provide guidance and more divergent new ideas.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
"The Application of ZigBee Technology and Neural Network Algorithms in Street Light Control Systems", Technical Disclosure Commons, (March 01, 2024)
https://www.tdcommons.org/dpubs_series/6731