In view of the high cost of calculation framework and low accuracy of classified data in the existing workshop process manufacturing system, this research is based on the configuration, motion, control, and optimization model to build a digital twin system, developed a hardware-in-the-loop (HIL) system for digital control, and proposed a classification of unstructured data using incremental learning model based on incremental learning.The experiment results show that the classification accuracy of this study is up to 94%.
Key words
digital twin system /
incremental learning /
hardware in the loop system /
digital controller /
iterative logic
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