Paper
4 March 2024 An intelligent illumination system with personalized quality of services in smart home
Chenxi Lin
Author Affiliations +
Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129810V (2024) https://doi.org/10.1117/12.3014825
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China
Abstract
Nowadays, the smart home industry is experiencing rapid growth due to advancements in information technology, such as the Internet and artificial intelligence. As a result, an increasing number of smart home devices are finding their way into our homes. The key advantage of smart homes lies in their ability to control various household facilities and equipment. While the current lighting systems available on the market offer some level of convenience by allowing users to control and switch lighting scenes at home, they often require complex operation and setup. As people's expectations for a higher quality of life continue to rise, it is essential for smart home technology to become more intelligent and dependable. Therefore, this paper proposes an intelligent illumination system based on digital twin technology, which can automatically switch scenes, adjust light brightness and color, and create a comfortable environment by collecting data and performing intelligent calculations and analysis. By doing so, it not only offers users a more convenient and diverse home environment but also provides intelligent and personalized lighting control.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Chenxi Lin "An intelligent illumination system with personalized quality of services in smart home", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129810V (4 March 2024); https://doi.org/10.1117/12.3014825
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KEYWORDS
Light sources and illumination

Intelligence systems

Data modeling

Mathematical modeling

Control systems

Particle swarm optimization

Atmospheric modeling

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