Energy-saving street lamp system based on wireless sensor network

Abstract

The purpose of this paper is to design a smart street lamp controscheme that uses wireless sensor networks to meet the needs of smartcity construction and to create energy-saving street lamps. First, the traditional neural network algorithm is enhanced to make it simple to dynamically adjust the brightness of the lamp node with ambient light. Secondly, the wireless sensor network technology based on Zigbee communication and the LabVIEW host computer program were combined to create the intelligent street lamp system. Finally, the software and hardware tests were carried out to realize the dynamic adjustment, remote control and data transmission of street lights. The results show that the lamps controlled by neural network can flexibly adjust the light intensity according to the ambient lighting and traffic flow. This method enables intelligent adjustment and energy saving.