Development of an Indoor Intelligent Lighting System Based on Occupants’ Positioning

Author:

Luo Heng1,Zhang Tingfei1,Zou Youmin2,Liu Chenxu2,Hu Xinyu2,Lv Yang2

Affiliation:

1. Jiangsu Province Key Laboratory of Intelligent Building Energy Efficiency, Suzhou University of Science and Technology, 1#, Ke Rui Road, Suzhou New District, Suzhou, P. R. China

2. School of Electronic and Information Engineering, Suzhou University of Science and Technology, 1#, Ke Rui Road, Suzhou New District, Suzhou, P. R. China

Abstract

China accounts for more than 22% of the total energy consumption worldwide. Building energy consumption, among which consumption in public buildings was about 40% took the second place. With the problems of high energy waste, error rate and complexity of the control systems available, an indoor intelligent lighting system based on occupants’ location is proposed in this paper to improve the energy efficiency of the current lighting systems indoors. The transmission model of electromagnetic wave in free space is optimized in both aspects of reference signal strength and attenuation coefficient radiation in complex environment dynamically based on which occupants’ positions are obtained. The smart lighting system will turn on or off corresponding lights adaptively to provide a more energy efficient platform. Experimental results show that the proposed system is able to improve the energy efficiency of indoor lighting by at least 15%, with a lower error rate below 2% compared with the existing lighting systems based on voice control.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design and Research of Indoor Lighting Control System Based on the STM32;International Journal of Advanced Network, Monitoring and Controls;2022-01-01

2. Design and Research of Indoor Lighting Control System Based on the STM32;International Journal of Advanced Network, Monitoring and Controls;2022-01-01

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