Analysis Of The Correlation Of Industrial Robots Based On Word Embeddings

With the rapid development of science and technology,emerging technology fields are constantly emerging,knowledge of technology also become increasingly complex,and different technical fields have begun to infiltrate each other,and the network structure between technology domains has become more and more complex.A systematic study of the scientific and technological achievements represented by thesis patents and analysis of the degree of relevance in different technical fields can reflect the degree of correlation between different technical categories,thereby analyzing the linkages between technological developments in different fields.Finally,This can predict the development trend of technology.As one of the hot technology fields,industrial robots have been widely used in more and more fields,and the relationship between the industrial robot field and other technical fields has become increasingly complex.As an important part of high-end manufacturing equipment,analysis of the relationship between industrial robots and other technical fields can make predictions about the future development trend and direction of development in the field of industrial robots,thus providing relevant strategic thinking for industrial robotics technology and industry for our country.Traditional technology-related methods,such as patent co-citation and patent IPC cooccurrence have not taken the semantics of data into account,and those methods have their own limitations at different levels.Based on this,this paper proposes a research method based on word vectors in the field of technical relevance,using the word2 vec word vector algorithm,taking the industrial robot technology as the core,and obtaining the domain relevance between the industrial robot field and its related fields.Analysis the trend of technology crossover and integration between the fields to grasp the development trend and development direction of industrial robots..Finally,expanding the experimental data,taking21 categories of technical fields divided by Derwent manual codes as the research object.Based on the 21 patents of TI patents and WOS thesis data,field correlation experiments were performed.The experimental results verify the method of this paper.It also shows that there are great differences in the degree of association between different fields,and the higher the degree of association,the closer the relationship in the development process.