射流表面清洁与活化在线监测和反馈控制方法及智能控制系统
By using online monitoring and feedback control methods, multidimensional data is collected in real time and pre-trained neural networks are loaded for adaptive adjustment, which solves the problem of insufficient self-optimization capability in jet surface treatment methods and realizes stable and efficient treatment of jet surface cleaning and activation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANDONG UNIV
- Filing Date
- 2026-04-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing jet surface treatment methods lack continuous learning and self-optimization capabilities, and system parameters cannot be adaptively adjusted, resulting in a narrow process window, large fluctuations in yield, and difficulty in achieving stable and consistent high-quality standards.
An online monitoring and feedback control method for jet surface cleaning and activation is adopted. By collecting multi-dimensional data in real time, a working condition feature encoding vector is constructed, a pre-trained neural network is loaded for online backpropagation training, an adaptive quality threshold is generated, and multi-parameter collaborative regulation is achieved. Combined with global compliance optimization, the model is ensured to operate robustly under dynamic working conditions.
It achieves fully automated, highly reliable, and sustainable online assurance of the quality of jet surface cleaning and activation, improves the system's adaptability and stability, and ensures the reliability and consistency of high-end manufacturing processes.
Smart Images
Figure CN122085704B_ABST