Artificial intelligence driven predictive comfort optimization system for heating ventilation and air conditioning control, has control module that interfaces with heating, ventilation and air conditioning systems for automated temperature, humidity and airflow regulation
	TRIPATHI S K; FAISAL A
	2025-03-31
专利权人	KIET GROUP INST (KIET-Non-standard)
申请日期	2025-03-31
专利号	IN202511031508-A
成果简介	NOVELTY - The system has biometric sensors to monitor user physiological parameters such as heart rate and skin temperature. Environmental sensors track room temperature, humidity, and airflow. A data fusion engine integrates biometric and environmental data. A machine learning model is provided for predictive climate adjustments based on historical patterns. A control module interfaces with heating, ventilation, and air-conditioning (HVAC) systems for automated temperature and humidity regulation. Predictive algorithms anticipate physiological changes and preemptively adjust climate conditions. User-specific climate zones are generated to ensure individualized comfort settings. An energy optimization engine minimizes HVAC energy consumption while maintaining user comfort. USE - Artificial intelligence (AI) driven predictive comfort optimization system for HVAC control. Uses include but are not limited to smart homes, commercial offices, healthcare facilities and hospitality settings. ADVANTAGE - The system uses a machine learning-based optimization engine that predicts future physiological states and preemptively adjusts HVAC settings to maintain comfort. The system allows a user to set comfort preferences, view real-time climate adjustments, and provide feedback. The system allows the user to control the temperature, humidity, airflow, and carbon di-oxide concentration to ensure an optimal climate balance. The system uses a data fusion engine that aggregates biometric and environmental data, for creating user-specific comfort profiles. The system uses reinforcement learning models for fine-tune HVAC operations for energy efficiency, while reducing unnecessary cooling or heating.
IPC 分类号	A61B-005/00 ; A61B-005/024 ; A61B-005/318 ; F24F-110/10 ; G06N-020/00
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13277
专题	中国科学院新疆生态与地理研究所
作者单位	KIET GROUP INST (KIET-Non-standard)
推荐引用方式 GB/T 7714	TRIPATHI S K,FAISAL A. Artificial intelligence driven predictive comfort optimization system for heating ventilation and air conditioning control, has control module that interfaces with heating, ventilation and air conditioning systems for automated temperature, humidity and airflow regulation. IN202511031508-A[P]. 2025.

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