Air source heat pump control method and system based on deep learning
Through the deep learning-based air source heat pump control method, combined with the solar photothermal system and the air source heat pump, dynamic switching of heating mode and dynamic heating of liquid working fluids are achieved, which solves the problems of instability in solar heating and sanitary safety hazards, and achieves stable heating and efficient energy utilization.
Patent Information
- Application Number
- CN202510322078.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-19
- Publication Date
- 2025-05-13
- Estimated Expiration
- 2045-03-19
AI Technical Summary
The solar photothermal system is affected by weather and sunshine conditions, and the heating efficiency fluctuates greatly, and it is impossible to continuously provide stable hot water when the radiation intensity is insufficient or when it is running at night. The long-term low-temperature operation of the liquid working fluid in the heat storage tank is prone to breeding bacteria such as Legionella, resulting in sanitary hazards.
The air source heat pump control method based on deep learning is adopted to judge the heating mode in real time through temperature sensors and solar radiation intensity data. Combined with the advantages of solar photothermal system and air source heat pump, dynamic switching of the heating mode is achieved, and the liquid working fluid in the heat storage tank is dynamically heated by adjusting the processing formula to ensure that it reaches the preset temperature to prevent bacterial growth.
It has achieved stable heating under various environmental conditions, improved the stability and sanitary safety of the heating system, greatly optimized the energy utilization efficiency, and met the high-standard needs of special scenarios such as hospitals.