摘要
针对基于模型定义的数据信息"多、杂、乱",信息获取不准确、不清晰等难题,通过对数据进行类型划分、对数据元素进行解析及有效分类管理,开发了可视化的三维标注"筛选器",对保存视图、图层、标注类型等内容进行筛选显示,实现多维度、细颗粒度的数据识别与控制,进而提高基于模型定义的数据可视化效果。
Aiming at the data model in ＂more, mixed and disorderly , 200072, China） such as difficult information accessing and unclear, it describes the data classification, presents effective classification management and parsing the data el- ements, provides a ＂ filter＂ for visualization of the three - dimensional annotation. This realizes the display in saved view, layer, annotation types, and the recognition and control of the multidimensional, fine granularity da- ta. The result shows that methods of data visualization based on model definition improves the visualization effect.
作者
程五四
张红旗
陈兴玉
曾祥宇
CHENG Wusi ZHANG Hongqi CHEN Xingyu ZENG Xiangyu(NO. 38 Research Institute of CETC, Anhui Hefei, 230088, China Hefei Research Center of Advanced Design Engineering Technology for Radar Mechanical and Electrical Equipment, Anhui Hefei, 230088, China National Industrial Design Center of NO. 38 Research Institute of CETC, Anhui Hefei, 230088, China PISX （Shanghai） Co. , Ltd. , Shanghai)
出处
《机械设计与制造工程》
2017年第5期96-99,共4页
Machine Design and Manufacturing Engineering
基金
国防基础科研计划资助(A1120131044
JCKY2016210C007)
国防技术基础计划资助(JSBZ2016210B004
JSBZ2014210B007
JSBZ2015210A005
JSZL2014210B001)
