A heating method of a smoking set, electronic device, medium and product
By acquiring the simulated sound signal of the heated smoke appliance, extracting multi-dimensional features and combining them with a pre-trained model, the heating temperature and power are dynamically adjusted, solving the problem that the heated smoke appliance cannot accurately adapt and control, thus improving the user experience and energy efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA TOBACCO JIANGSU INDAL
- Filing Date
- 2026-06-03
- Publication Date
- 2026-07-17
AI Technical Summary
Existing heated tobacco devices cannot sense the dynamic changes in the user's smoking behavior in real time, resulting in a mismatch between the heating temperature and the smoking demand. This leads to problems such as uneven aerosol flavor, insufficient heating of the tobacco matrix, overheating, poor flavor consistency, and high energy consumption.
By acquiring the simulated sound signal of the heated smoking device, extracting its time and frequency domain features, and combining it with a pre-trained airflow velocity regression model and a suction parameter prediction model, the system can achieve precise adaptive control of the heated smoking device, dynamically adjusting the heating temperature and power to match the user's suction needs.
It achieves real-time, precise, and robust heating of the smoking device, reduces hardware costs, improves the stability of the atomized flavor and energy efficiency, and adapts to the smoking habits of different users.
Smart Images
Figure CN122397984A_ABST