Intelligent regulation and control system for injection molding process of industrial control system
By constructing modules for multi-source perception, dynamic modeling, adaptive decision-making, and knowledge evolution, the control problem of injection molding control systems in the face of multiple uncertainties has been solved, achieving intelligent control with high precision, high stability, and high adaptability, thereby improving production efficiency and quality consistency.
Patent Information
- Application Number
- CN202511501513.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-21
- Publication Date
- 2025-11-21
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing injection molding control systems struggle to achieve high-precision, high-stability, and high-adaptability coordinated control when faced with multiple uncertainties such as material batch fluctuations, mold state changes, and environmental disturbances. This results in fragmented state perception, static control strategies, and a lack of anomaly identification and proactive intervention capabilities.
The system comprises a multi-source sensing module, a dynamic modeling module, an adaptive decision-making module, an execution feedback module, and a knowledge evolution module, enabling multimodal data fusion, dynamic environment adaptive response, and closed-loop quality optimization. The multi-source sensing module collects data in real time, the dynamic modeling module constructs a hybrid digital twin model, the adaptive decision-making module generates optimization instructions, the execution feedback module performs closed-loop verification, and the knowledge evolution module performs experience learning and optimization.
It significantly improves the prediction accuracy and production stability of the injection molding process, reduces the scrap rate, shortens the production cycle, and enhances the system's self-evolution capability and flexible manufacturing capability.