WorkLife +: A Conceptual Design of an Al-Driven Adaptive Office Environment Regulation System

Jinhui Hong; Chudan Chen; Sihan Yu; Jingyue Ge; Yuluo Chen; Shiyi Liu

doi:10.63313/JCSFT.9034

Authors

Jinhui Hong EIT Data Science and Communication College, Zhejiang Yuexiu University, Shanxing, China Author
Chudan Chen EIT Data Science and Communication College, Zhejiang Yuexiu University, Shanxing, China Author
Sihan Yu EIT Data Science and Communication College, Zhejiang Yuexiu University, Shanxing, China Author
Jingyue Ge EIT Data Science and Communication College, Zhejiang Yuexiu University, Shanxing, China Author
Yuluo Chen EIT Data Science and Communication College, Zhejiang Yuexiu University, Shanxing, China Author
Shiyi Liu EIT Data Science and Communication College, Zhejiang Yuexiu University, Shanxing, China Author

DOI:

https://doi.org/10.63313/JCSFT.9034

Keywords:

Intelligent office environment, IoT, Artificial Intelligence, Adaptive Regulation, Healthy office

Abstract

Focusing on the high energy consumption and discomfort issues of office environments, this research conducted a preliminary survey of 115 office workers to identify major pain points of traditional office environment. Taking IoT and AI as the core, the research integrates multi-modal data and proposes a conceptual design of an intelligent environmental perception system. It aims to establish an adaptive environmental regulation system through standardized sensors and intelligent control models, balancing energy conservation and health. The research is expected to form reusable solutions and prototype systems.

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