The Methodologies of Automatically Analyzing the Similarity of Processes Based on Features Abstracted From NC Codes

摘要

It is difficult to draw the similarity correlation degree of the process features from NC codes since the NC codes do not represent the process features directly. This research works at the methodologies of automatically analyzing the similarity of process based on features abstracted from NC codes to improve the group efficiency. Employing the NC codes' advantages of the clear and stable structure, good readability, taking the similarity principles as the theoretical foundation, this research regards the NC codes as similar systems to study on the problem of automation for similarity correlation comparison of process features. A detailed and concrete case study demonstrates the specific steps of the process features modeling and similarity comparison of the NC codes. The calculation and comparison shows the effectiveness of the method, which provides the foundation for group automation.