Research On Technology Convergence Of Intellectualized Technology And NC System Based On Knowledge Graph And Graph Neural Networks

In the new century,the rapid development of the new generation of information technology provides an important opportunity for the intelligent upgrade of NC machine tools.The intellectualization of NC machine tools is mainly embodied in NC system.The study of the technology convergence of intellectualized technology and NC system through technology trajectory helps reveal the trends of the intelligent development of NC system,identify the specific sub-fields and key technologies where the convergence occurs,and provides decision support for the research and judgment of technology development trend and technology selection in the subsequent stage.The technology convergence trajectory identification of intellectualized technology and NC system requires not only the guidance of expert knowledge but also the data support of a large number of theoretical research and technical applications in related fields.Therefore,the requirements for expert knowledge and data linking are put forward.As a continuation of traditional knowledge engineering in the era of artificial intelligence and big data,the knowledge graph can combine multi-dimensional data and high-quality expert knowledge.And,the knowledge graph can deal with the problem of knowledge updating that traditional knowledge engineering faces through automatic knowledge acquisition.So the knowledge graph can provide a richer and more timely data basis for the research on the technology convergence of intellectualized technology and NC system.Graph neural networks are powerful methods for the application of the knowledge graph,which makes use of the structure information and node information of the graph simultaneously to calculate and reason.The technology convergence development of intellectualized technology and NC system reflects the cross-domain complexity of technology and the multi-dimensionality of development,which is difficult to identify through traditional manufacturing knowledge engineering combined with existing technology convergence analysis methods.Firstly,in response to the demand for expert knowledge and data linking,the knowledge graph for the technology convergence of intellectualized technology and NC system is constructed.This knowledge graph takes the papers and patents of intellectualized technology and NC system as the data layer;takes the NC machine tools technology system containing expert knowledge as the schema layer.This thesis associates the data layer with the schema layer for expert knowledge and data linking.And this thesis supplements and refine the technology system in a data-driven way to enrich the connotation of the technical system.Secondly,in view of the cross-domain complexity of technology embodied in the technology convergence of intellectualized technology and NC system,the knowledge graph data layer constructed in this thesis contains the citation network that reflects the characteristics of cross-domain communication and the text data that contains richer and broader technical connotation features.Based on the data layer,this thesis proposes an early identification method of technology convergence based on graph neural networks,which simultaneously use the citation networks and text to realize the early identification of technology convergence with complex cross-domain features.Finally,in view of the multi-dimensionality of development embodied in the technology convergence of intellectualized technology and NC system,combining the "papers + patents+ keywords" data layer and "NC machine tool technology system" schema layer of the knowledge graph,this thesis proposes a two-layer technology convergence trajectory identification method based on the knowledge graph representation learning.The technology convergence trajectories of the papers layer and the patents layer,and their cross-layer connections are identified,to reveal the correlations and differences between the two perspectives of technology convergence trajectories.And this thesis combines the NC machine tools technology system to further extract the hidden information of the development trend of intelligent application in the two-layer technology convergence trajectory.By comparing with the existing methods,the advanced performance of the proposed methods is verified.The results show that the technology convergence of intellectualized technology and NC system is mainly reflected in two aspects.On the one hand,intelligent algorithms improve the processing quality through the application of state detection,error compensation,motion control,etc.On the other hand,big data,the Internet of Things,cloud computing and other technologies are used in the data collection,transmission,calculation and other aspects to achieve energy efficiency optimization,remote monitoring and so on.The research results of this thesis can be used to support experts and scholars in researching and judging technology development trends,making technology selection decisions and so on.