The Invention Relates To The Design Of A Product Feature Drawing System Based On WebGL

Xiangzhen Li*, Yuanqing Xia, Hongcheng Yin, Yang Zhang, Shuai Liu, Xiaodan Xie

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Due to the rapid advancement of the information process, the amount of product feature data has increased exponentially, and the amount of existing product feature data has reached TB level. Faced with the demand for storage and display of large quantities of product feature data, this technology adopts B/S architecture for development and is based on WebGIS. Multi-view visual analysis is used to visualize multiple data objects of product characteristics at the same time, and the integration of multiple technologies and nested multi-view and multi-scale parallel collaborative analysis are realized through interaction, providing a more three-dimensional and more perspectives of all-round product feature situation cognition and forming a map of product characteristics. Support users from the whole to the details, details to the whole cycle of exploration, so as to mine the product feature data internal connections and potential patterns, to assist users to understand and make decisions.

Original languageEnglish
Title of host publicationICBDT 2023 - 2023 6th International Conference on Big Data Technologies
PublisherAssociation for Computing Machinery
Pages301-305
Number of pages5
ISBN (Electronic)9798400707667
DOIs
Publication statusPublished - 22 Sept 2023
Event6th International Conference on Big Data Technologies, ICBDT 2023 - Qingdao, China
Duration: 22 Sept 202324 Sept 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference6th International Conference on Big Data Technologies, ICBDT 2023
Country/TerritoryChina
CityQingdao
Period22/09/2324/09/23

Keywords

  • Product characteristics
  • Situation awareness
  • WebGIS

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