Research on a fuzzy algorithm for intelligent power-saving control of urban street lamps

Abstract

Urbanisation has increased the demand for energy-efficient and environmentally friendly street lighting systems. However, traditional urban lighting uses time interval control and cannot be intelligently controlled according to the environment. Therefore, an intelligent urban street lighting control system based on advanced fuzzy control technology was developed. The system uses a fuzzy control algorithm based on ZigBee technology to study the street lighting system. The fuzzy control system determines input and output variables and obtains demand instructions for intelligent control of street lights through fuzzy operation. The number of node visits and node degree were optimised to complete the construction of the street lamp intelligent control system. Experimental simulations showed that the proposed scheme could reasonably control the brightness of the street lighting according to ambient light. At 5.00 p.m., the proposed scheme adjusts the street lighting to 80 W. The system is illuminated at the rated power, and the current power consumption is 100 W. A test was carried out under a street lighting system, and the proposed scheme dynamically adjusted the lighting brightness reasonably considering various factors such as light intensity, noise intensity and vehicle speed. The proposed street lamp fuzzy control algorithm has good control performance and significantly reduces the system energy consumption. The research has important reference value for energy saving and intelligent control of urban lighting.