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Review Article

Future trends in intelligent lighting control systems: Integrated technologies, multi-system linkage and AI integration

Jiaxin Chen1Jingjing An2Da Yan3Xin Zhou1( )
School of Architecture, Southeast University, Nanjing, Jiangsu Province 210096, China
School of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100084, China
School of Architecture, Tsinghua University, Beijing 100084, China
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Abstract

Lighting energy consumption accounts for a considerable proportion of the total electricity consumption of a building; therefore, the lighting system of a building has great potential for energy saving. With the development of technology, intelligent lighting control systems are widely used in buildings and have good energy-saving effects. Previous reviews of intelligent lighting control systems have analyzed the research progress, advantages, and limitations of a single technology in depth, but have not yet summarized the combination of various technologies and the scope of application. Therefore, this study starts from the components of intelligent lighting control system and focuses on the data acquisition module and control module. Researches on these two modules are analyzed from the aspects of multi-technology combination, combination with artificial intelligence and multi-system considerations, and the application scope and limitations of the related technologies are summarized to provide references for future engineering practice. Finally, based on the development overview of current research, this study explores research directions that can be further expanded in intelligent lighting control systems to handle future development trends.

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Building Simulation
Pages 1909-1932

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Cite this article:
Chen J, An J, Yan D, et al. Future trends in intelligent lighting control systems: Integrated technologies, multi-system linkage and AI integration. Building Simulation, 2024, 17(11): 1909-1932. https://doi.org/10.1007/s12273-024-1209-3

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Received: 22 August 2024
Revised: 17 October 2024
Accepted: 24 October 2024
Published: 18 November 2024
© Tsinghua University Press 2024