球磨机优化控制方法、装置、计算机设备及可读存储介质
By establishing empirical and data models of the ball mill grinding process and dynamically adjusting control decisions, the complexity and nonlinearity of the ball mill grinding process were solved, achieving efficient grinding control and improved production efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING MINING & METALLURGICAL TECH GRP CO LTD
- Filing Date
- 2024-06-26
- Publication Date
- 2026-07-17
AI Technical Summary
The complex, nonlinear, time-varying, and large time-delay characteristics of the ball mill grinding process result in existing control modes being labor-intensive, having low production efficiency, and requiring highly skilled operators, making it difficult to achieve precise control.
By acquiring the grinding process parameters of the ball mill, an empirical model and a data model of the grinding process are established. By utilizing the principle of non-perfect matching of expert experience, the control decision step size and state feedback deviation are dynamically adjusted to achieve data visualization and optimized control of the grinding process.
It improves grinding efficiency, reduces manual operation, enables adaptive adjustment and stable control of production parameters, reduces labor intensity, and improves production efficiency.
Smart Images
Figure CN118403706B_ABST