Research And Implementation Of Interactive Data Visualization Large Screen Platform

With the development of the application of knowledge graph in various social industries and the improvement of users’ requirements for human-computer interaction experience,the interactive data visualization large-screen platform focuses on solving the problem of knowledge data visualization from two different interaction perspectives:exploratory interactive analysis of knowledge data and human-computer interaction experience,and uses front-end component technology to provide nonprofessionals with an obstacle free way to build a large data visualization screen with professional standards in multiple scenes and fields.The platform realizes the visual display and exploratory interactive analysis of knowledge data,and provides flexible human-computer interaction means to improve the users’ interactive experience from multiple aspects.Although researchers have done a lot of research on the application of data visualization and achieved certain results,facing the demand of the integration of knowledge graph visualization and traditional data visualization large screen platform,most data visualization large screen platforms still have the following problems and challenges:1)Lacking of support for knowledge data visualization and exploration interaction:the data source and visualization component library of the current data visualization platform cannot support the visual display of knowledge data such as knowledge graph,and lack of knowledge data exploration interaction function as well;2)Low efficiency of secondary development of visual components:in order to meet the needs of knowledge visualization,there is a lack of unified and effective development method for the secondary development of traditional chart components,and more repetitive code work reduces the development efficiency;3)Single human-computer interaction mode:at present,the large screen generally only provides the mouse as the human-computer interaction method.In view of the above problems and challenges,this paper focuses on the research and analysis of the secondary development technology of knowledge visualization of components,the dynamic interaction ability of data visualization large screen,and the human-computer interaction methods of data visualization large screen,and the completion of the interactive data visualization large screen platform.The main research contents are as follows:1)Proposed and implemented a knowledge visualization development method oriented to the large screen of data visualization by realizing the component of knowledge visualization,solving the problem of low development efficiency caused by the lack of a unified development method for the secondary development of traditional chart components.2)Design and implement the method of knowledge visualization component interaction management,covering the weakness of platform data exploratory interaction ability,meet the query requirements of knowledge visualization,and design a new data communication scheme for the communication of sibling component,which simplifies the data flow path.3)Design and implement large-screen interaction methods based on gesture and voice technology,which solves the problem of single humancomputer interaction means of the current data large screen visualization platform,and improves the interactivity of the platform.4)Design and implement an interactive data visualization large screen platform,providing a visual component library with complete functions and rich chart types,supporting a variety of data sources,further realizing knowledge visualization,meeting the visualization requirements of dynamic characteristics,and providing gesture and voice interaction means to comprehensively improve the interactivity of the platform from two aspects:data display and user use.Finally,this platform was applied to the national key R&D project"Scientific and technological consulting data resource system research and resource construction".The platform provides data delivery technical support for the visualization part of the data panorama dynamic delivery of the project,which verified the effectiveness and practical application value of the method and platform proposed in this paper.