基于最大熵强化学习的自适应智能环境控制系统及方法
The adaptive intelligent environmental control system based on maximum entropy reinforcement learning solves the problem of decreased user experience in existing technologies and realizes adaptive adjustment and personalized control based on real-time status.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN PULIAN TECH CO LTD
- Filing Date
- 2025-09-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing intelligent environmental control systems lack flexibility and adaptability, and cannot flexibly control the system based on the user's real-time physiological state and manual intervention methods, resulting in a decline in user experience.
An adaptive intelligent environment control system based on maximum entropy reinforcement learning is adopted. The system collects environmental and user state parameters through a state perception and acquisition module, performs comprehensive state evaluation through a state processing module, calculates the reward function through a state analysis module, performs learning optimization through a control center, and finally adjusts parameters in real time through a policy execution module.
It enables adaptive adjustments based on real-time status, improving the user experience and meeting users' personalized needs.
Smart Images
Figure CN121143014B_ABST