空调的控制方法、装置和空调
By using neural network prediction models and optimization algorithms, combined with frequency protection points and anti-fluctuation control, the problems of inaccurate air conditioning cooling capacity prediction and frequent changes in control parameters have been solved, thereby improving the stability and comfort of air conditioning operation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GREE ELECTRIC APPLIANCE INC OF ZHUHAI
- Filing Date
- 2022-06-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing air conditioning control methods cannot accurately predict cooling capacity, resulting in unstable room temperature, and frequent changes in neural network control algorithms affect comfort.
By combining a neural network forward prediction model and a backward prediction model with a target optimization algorithm, the control parameters for the next operating cycle of the air conditioner are determined. At the frequency protection point, the cooling capacity compensation mode is executed, and at the non-protection point, anti-fluctuation control is executed to reduce frequent changes in control parameters.
It achieves precise matching of cooling capacity during air conditioning operation, reduces room temperature fluctuations, and improves system reliability and comfort.
Smart Images
Figure CN117267911B_ABST