Air purifier adaptive adjustment method based on artificial intelligence environment perception
By deploying a miniature differential pressure sensor array in an air purifier, an airflow disturbance fingerprint vector and a pollution release model are constructed, solving the problem of air purifier response lag in dynamic environments. This enables highly sensitive detection and prediction of pollutants, improving purification efficiency and energy consumption adaptability.
Patent Information
- Application Number
- CN202610594168.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing air purifiers lack the ability to detect and predict sudden releases of pollutants and airflow disturbances in dynamic environments, resulting in a delayed response of purification strategies and an inability to achieve real-time, adaptive control, which affects purification performance and energy consumption adaptability.
By deploying miniature differential pressure sensor arrays at the air inlet, air outlet, and key airflow paths of an air purifier, airflow disturbance signals are collected, a three-dimensional airflow disturbance fingerprint vector is constructed, and combined with unsupervised clustering and a pollution release dynamics model, a pre-purification strategy is generated to predict and respond in advance to future pollutant concentrations.
It significantly improves the air purifier's sensitivity and response speed to sudden pollution events, enables adaptive purification strategy adjustment, improves purification efficiency and user experience consistency, and reduces energy consumption.
Smart Images
Figure CN122408203A_ABST