Temperature control adjustment method and device based on human thermal comfort, equipment and storage medium

By using a dual-path infrared image recognition method, combining behavioral and image recognition paths, thermal sensing results are generated and the temperature of the HVAC system is adjusted. This solves the problems of personalized user needs and energy waste in traditional HVAC systems, and achieves efficient thermal comfort recognition and intelligent temperature control.

CN122416484APending Publication Date: 2026-07-17XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
Filing Date
2026-04-07
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The fixed temperature settings of traditional HVAC systems cannot meet users' personalized thermal comfort needs, resulting in low indoor environmental comfort satisfaction and serious energy waste. Existing non-contact thermal comfort recognition methods have problems such as privacy leakage, insufficient information coverage, and poor model robustness, making it difficult to achieve intelligent temperature control.

Method used

A dual-path recognition method based on infrared images is adopted, including a behavior recognition path and an image recognition path. Human behavior and infrared features are extracted respectively, and thermal sensing results are generated through weighted perception fusion. These results are then transmitted to the HVAC system for temperature regulation, thus addressing the comprehensive requirements of privacy protection, information integrity, and system robustness.

Benefits of technology

It improves the accuracy and robustness of thermal comfort recognition, protects user privacy, adapts to complex environmental conditions, reduces energy waste, realizes intelligent temperature regulation, and enhances user thermal comfort satisfaction and building energy efficiency.

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Abstract

本申请公开基于人体热舒适度的温控调节方法、装置、设备及存储介质,涉及图像检测领域。逐帧识别和提取红外图像序列中的人体区域图像,送入行为识别模型,通过对图像序列进行连续采样和提取人体单帧空间特征,并对空间特征进行识别与热感知映射,确定第一热感知结果和置信度;序列送入图像识别模型,通过对图像序列进行连续采样和提取人体红外特征,并对红外特征进行识别与热感知映射,确定人体第二热感知结果和置信度;将双路径的热感知结果和置信度进行加权感知融合,并将融合感知结果传输至暖通系统,以便暖通系统进行温度调节。具有提高热舒适度识别的准确性和鲁棒性,保护用户隐私,适应复杂环境条件,并减少能源浪费的优点。
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