一种基于行为活动的居住空间热环境调节方法及系统
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
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.
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.
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.
Smart Images

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