一种基于行为活动的居住空间热环境调节方法及系统

CN117628669BActive Publication Date: 2026-07-17QINGDAO UNIV OF TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
QINGDAO UNIV OF TECH
Filing Date
2023-11-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing thermal comfort assessment methods and regulation systems cannot accurately take into account the individual differences and behavioral activities of the elderly, resulting in thermal environment regulation that does not meet the real-time needs of the elderly, and also suffers from privacy leaks and low accuracy.

Method used

By acquiring behavioral activity data, physiological and psychological indicator data of the elderly, and combining them with environmental data, a trained comfort prediction model is used to regulate the thermal environment. A sample set is established for model training to achieve real-time prediction and regulation of thermal comfort for the elderly.

Benefits of technology

It improves the accuracy of thermal comfort prediction for the elderly, meets their real-time thermal comfort needs, reduces resource waste, and avoids issues such as privacy leaks and low accuracy.

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Abstract

本发明提出了一种基于行为活动的居住空间热环境调节方法及系统,通过获取人体行为活动数据对老年人的行为状态即清醒和睡眠进行区分,充分考虑了老年人的行为活动;而且通过模拟试验的方式获取不同居住环境数据下的老年人的生理心理以及主观舒适度,进而建立样本集,通过构建的样本集对舒适度模型进行训练,得到训练好的舒适度模型,进而对实时获取的老年人的环境数据、生理和心理数据基于训练好的舒适度模型进行预测,实现对居住空间室内热环境的调节控制。
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