Intelligent manufacturing system based on AI parameter modification

The traditional manufacturing system cannot effectively coordinate and balance control over multiple functional segments in the design process. This not only results in certain errors in the connection between functional segments, but also leads to lower precision in welding and assembly of mechanical components, thereby affecting the production yield of specific manufactured objects. Based on the above problems, an intelligent manufacturing system based on AI parameter correction is proposed. By establishing a hardware configuration for AI data collection and redesigning the hardware framework, real-time data collection for different functional segments can be achieved. The key point is to implement parameter correction during the handover process between functional segments through AI analysis and calculation of the data, ensuring the manufacturing system's yield rate. This method is applied to shipbuilding, and the effectiveness and superiority of the proposed design system are demonstrated through a comparison of yield rates with traditional manufacturing systems.