中央空调优化控制方法及系统
By constructing a historical data database and an energy efficiency mapping table, and combining it with a load forecasting model, the operating parameters of the central air conditioning system are dynamically optimized. This solves the problem of insufficient load forecasting in existing technologies, achieves rapid and accurate optimization control, and improves system energy efficiency and stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SICHUAN INSITITUTE OF BUILDING RES
- Filing Date
- 2025-10-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing optimization control methods for central air conditioning systems lack the ability to predict future load trends when facing dynamic load changes, resulting in response lag and difficulty in achieving refined control. Furthermore, traditional methods rely on complex modeling or ergonomic search, which is inefficient and affects system energy efficiency and stability.
By constructing a pre-set database based on historical data and an energy efficiency mapping table, combined with a multi-round testing mechanism and a load forecasting model, operating parameters are dynamically optimized. The load forecasting results are used to guide the testing direction, avoid repeated testing, and achieve rapid and accurate parameter adjustment.
It significantly improves the energy efficiency and operational stability of central air conditioning systems, shortens the optimization testing cycle, reduces energy consumption, and enhances user comfort and system response speed.
Smart Images
Figure CN121230136B_ABST