Air conditioner and its control method
The air conditioner system uses a predictive model to manage indoor heat exchanger contamination by calculating a contamination index through machine learning, triggering cleaning when necessary, thereby reducing health risks and maintaining a clean environment.
Patent Information
- Application Number
- JP2025271135
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-12-31
- Filing Date
- 2025-12-22
- Publication Date
- 2026-07-13
AI Technical Summary
Conventional air conditioners face challenges in efficiently managing and predicting the contamination of indoor heat exchangers, leading to potential health risks due to the proliferation of bacteria and mold, and lack effective methods for real-time contamination measurement.
An air conditioner system equipped with a predictive model using machine learning to calculate a contamination index based on indoor heat exchanger temperature and humidity, which triggers cleaning processes when contamination exceeds predefined thresholds, and informs users through a display or remote device.
Effectively reduces contamination of indoor heat exchangers by predicting and managing contamination levels, ensuring timely cleaning and maintaining a healthier indoor environment.
Smart Images

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