一种过滤网污染物预测方法、空调及存储介质
By using meteorological forecast data and pollutant prediction models, the problem of the inability to adjust the replacement cycle of air conditioning equipment filters has been solved, enabling customized filter maintenance, improving user experience and reducing waste.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GREE ELECTRIC APPLIANCE INC OF ZHUHAI
- Filing Date
- 2023-08-07
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the replacement cycle of air conditioning equipment filters is specified by the manufacturer and cannot be adjusted according to different users' usage habits. This results in different levels of pollutant adsorption, causing the filter to be not replaced in time, affecting the user experience, or to be replaced too early, resulting in resource waste.
By acquiring meteorological forecast data and using pollutant prediction models to predict the total amount of pollutants on the filter screen, maintenance reminders are sent based on the relationship between the predicted value and the threshold, and the maintenance time of the filter screen is customized.
It enables customized filter maintenance times based on user needs, improving user experience and reducing resource waste and economic losses.
Smart Images
Figure CN117073133B_ABST