Application Of Ontology Knowledgebase Modeling In Industrial System Based On Nonrelational Database

The industrial Cyber-Physical Systems provide interconnected,closed-loop,feedback mechanisms,and horizontal and vertical integrated integration methods for physical equipment and different systems in the industrial production environment.With all things connected in Internet and the closed-loop in information feedback,there has been a rapid growth of information in industry Cyber-Physical System.The data storage and processing mechanism must satisfy the large scale,good expansibility,high efficiency,etc.to meet the requirements for the data in different devices,sensors,actuators and controllers.In addition,the data collected in the industrial system need to be further processed to form a knowledge base to support the edge intelligent control.With the improvement of computing complexity,the role of distributed system is more and more important.How to effectively process a large scale of data,form logical knowledge systems and complete reasoning application in distributed system has become a new hot issue.Traditional modeling methods and data processing methods can't meet the needs of real-time processing and autonomic processing in industrial field,and there is still much room for improvement.Therefore,other methods need to be introduced.This paper designs a tool for intelligent control of nodes in the edge layer of industrial system.We use Ontology to complete modeling in embedded devices and combine ontology with non-relational database to complete data storage,reasoning and query.The database is transformed into a knowledgebase by setting logical rules,and the intelligent distributed control is completed by using the computing resources at the edge end.Besides,ontology is generated through a visual interface,bringing high realtime variability and flexibility while modifying the definition of models dynamically.The research results in this paper provide an intelligent decision-making tool for the edge layer in industrial system,optimize the algorithm of embedded semantics and realize the real-time variable structure of model definition.