| With the advent of information age and data age,the development of technology is overwhelming.In this case,how to make full use of the existing technology to improve the traditional method of product innovation is particularly important.In terms of innovation,patent data is a typical representative.How to apply patent data to the stage of product innovation is the focus of this paper.Firstly,the patent data text is acquired,data segmentation,text cleaning and the construction of the stop word database,and the core keywords are obtained by removing the stop words.Secondly,the text modeling and the text vector model VSM construction,and the vector model for dimension-reduction processing,in order to improve the efficiency of data processing,through Gephi,Vos Viewer and other visual graphics software on the core keywords of the keyword network and EGO co-emergence network construction,to get visual graphics materials.Finally,according to the demand analysis of the product innovation assistance system,the task description framework and the functional demand framework of the product innovation assistance system are summarized.The paper also puts forward the product innovation assistant method based on the keyword thinking divergence,the product innovation assistant method based on the recombination method and the transplanting method,and the system framework,system design,system realization method and system visualization design principle of the product innovation assistant system.Through keyword mining of patent data,this paper proposes a process and method for converting patent data into a keyword network.The various networks and graphics finally produced in this method are displayed to the designer through the product innovation assistance system,which ultimately serves the purpose of efficiently assisting the designer in product innovation. |
