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

Autor:	Heng Luo, Xinyu Hu, Yang Lv, Chenxu Liu, Tingfei Zhang, Youmin Zou
Rok vydání:	2021
Předmět:	Consumption (economics) Architectural engineering business.industry Computer science Intelligent lighting Building energy law.invention Bluetooth Artificial Intelligence law Computer Vision and Pattern Recognition Artificial intelligence Total energy business Software Efficient energy use
Zdroj:	International Journal of Pattern Recognition and Artificial Intelligence. 35:2159041
ISSN:	1793-6381 0218-0014
DOI:	10.1142/s0218001421590412
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2c55a0d64ddae4df5376039b74a0ec8d https://doi.org/10.1142/s0218001421590412 Zobrazit plný text záznamu