Application of smart grid and non-dominated sorting genetic algorithm in adaptive energy-saving control of building lighting

Introduction: In the wave of urbanization, increase public lighting equipment in buildings has brought about more prominent problems energy saving and consumption reduction. Methods: order to solve above problems, this paper designs a set intelligent solutions for digital by combining smart grid non-dominant sorting genetic algorithms. Firstly, an monitoring solution is constructed through ZigBee ad hoc network sensor technology monitor relevant environment control laboratory building. Secondly, uses DIALux software build light distributiona distribution model building, deeply studies dimming strategy system under principle making full use sunlight natural light. Results: The purpose ofself-adaptive desktop illuminance, finally using scheme achieve optimal balance lighting. Discussion: simulation experiment counts power data different weather conditions. experimental results verify that can effectively reduce output luminous flux lamps, thereby reducing consumption.