An ontology-based machine tool serving framework in industrial Internet environment

The number of machine tools in the industrial internet environment is large, and manufacturing process will generate a large amount of data. To realize the networked, service-based control and collaborative sharing of machine tools is an application trend in the industrial Internet. However, the problems including data heterogeneity, how to provide production services provide, and privacy protection need to be solved first. In this paper, we propose an ontology-based machine tool serving framework (OBMSF) to solve the above issues. First, an ontology and a data storage model are used to solve the data heterogeneity problem while protecting the data privacy in the industrial internet. Then, through semantic inference rules, a production service for the monitoring of abnormalities in the machine tool operation is provided. Finally, the privacy protection problem is solved by a privacy protection program that dynamically changes the privacy rules of the machine tools in the industrial Internet.