Research On Networked Manufacturing Resources Intelligent Fectching Technology

Networked manufacturing to enable enterprises to make full use of manufacturing resources, share resources, complement advantages each other, thereby enhancing the enterprise's production efficiency, reduce production costs, for improving the whole industry chain and manufacturing groups in the competition are of great significance. However, due to networked manufacturing resource information is in various forms, gradually deepening, lacking of semantic information, making it difficult to understand and obtain by the computer. Therefore how to access networked manufacturing resources effectively is the key of networked manufacturing technology development.In this paper, we make a study on how to fetch manufacturing resources effectively from the Internet, design and implement a networked manufacturing resource acquisition system.Firstly, this thesis studies the status quo both at home and aboard about the fetching network manufacturing related technologies. Then we propose a networked manufacturing resource acquisition system overall structure and a hierarchical system model.Secondly, we propose solution for fetching networked manufacturing resources from the Internet. We fetching the networked manufacturing resources by using spider, machine learning, modeling techniques.Finally, we propose a solution for semantic annotation of the networked manufacturing resources.We establish ontology structure for the networked manufacturing resources using ontology technology, forming a global schema for description of networked manufacturing resources. We design semi-automatic semantic annotation tools by analyzing and classify web pages of information.