用于防止低压报警的热泵控制方法及系统
By judging low temperature conditions and water pump start-up conditions when the air source heat pump starts, and optimizing the start-up time and frequency adjustment by combining a deep learning model, the low-pressure alarm problem when the air source heat pump starts at low temperatures is solved, and the stability and safety of the heat pump are improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGDONG NEW ENERGY TECH DEV
- Filing Date
- 2026-01-04
- Publication Date
- 2026-07-17
AI Technical Summary
Existing air source heat pumps are prone to low-pressure alarms when starting at low temperatures. Current solutions are costly or risk damaging the compressor and cannot effectively solve the low-pressure alarm problem for most models.
By judging low temperature conditions when the air source heat pump starts, judging water pump start conditions in real time and starting the water pump, and judging low pressure conditions in real time after the compressor starts and repeatedly stopping and restarting, combined with deep learning model to predict start time and frequency adjustment, low-pressure alarm avoidance can be achieved at low cost.
It improves the stability and safety of heat pumps during low-temperature startup, reduces low-pressure alarms, lowers cost risks, and enhances system reliability and energy efficiency.
Smart Images
Figure CN121498288B_ABST