Copper extraction effect analysis method and system
The chromaticity change data of copper samples was obtained through optical sensors, and combined with the conductivity and hardness value data of the real-time monitoring system, a polynomial regression model was constructed, which solved the problem of copper extraction effect analysis in the existing technology in the absence of real-time analysis, real-time evaluation of copper purity and dynamic optimization of the refining process, and improved the refining efficiency and product quality.
Patent Information
- Application Number
- CN202510495493.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-21
- Publication Date
- 2025-05-30
AI Technical Summary
The existing copper extraction effect analysis methods rely on offline detection, and cannot achieve real-time monitoring, and it is difficult to fully reflect the dynamic changes of copper during the refining process, resulting in inefficient evaluation of refining effect.
The copper sample surface is continuously scanned through an optical sensor to obtain time series data of chromaticity changes, and combined with the conductivity and hardness value data recorded by the real-time monitoring system, a polynomial regression model is constructed to establish the correlation between copper purity and physical characteristics, and to determine the mapping relationship between chromaticity changes and copper purity through historical data calibration and mean filtering optimization.
Real-time evaluation of copper purity and dynamic optimization of the refining process are achieved, improving refining efficiency and product quality.