New Technology Development and Application Trends Based on Monitoring of Patent Data

As an important manifestation of science and technology, patents contain many aspects of information. The combination of multiple patents can dig out the development trend of a technology. Therefore, it is very important to understand them for mastering the trend of a technology and the decision-making and deployment of future development of the enterprise. Existing methods cannot provide enough analysis and forecast information. Therefore, a domain technology analysis model based on patent data is proposed in this paper. The visualization diagram constructed by this model can vividly display the multi-dimensional characteristics of the technology in the patent data, including the provincial and municipal distribution of technology domains in the patent, the development trend of sub-domains, the main technology composition of the patent, etc. which helps the enterprises quickly understand the status quo of technology development behind patent data. At the same time, the comprehensive analysis diagram generated can help us understand the relationship between the main team composition and technology in the technology domain, and make better decisions in future research. Finally, patents in the deep learning domain are researched in this paper.