Research and Application on Visualization of Discrete Spatial Grid Resource Data

Abstract:

In order to optimize the big data management of smart grid construction, analyze and process the extreme weather grid measuring point data of grid operation data which is abundant and discrete with mathematics. Considering of the continuous changing characteristics of weather in effective field of surface, buffer and expand the influential range of grid measuring point, then merge the same data, embellish the data with B-spline curve, store the spatial coordinates in enterprise-class grid resource centre, publish in map with unified service, and show the visual graphical distribution of extreme weather through OGC protocol, realize the visualization of grid resource.

• Periodical: Advanced Materials Research (Volumes 1070-1072)
• Pages: 1302-1306
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1070-1072.1302
• Online since: December 2014
• Authors: Ji Yuan Li, Yi Jun Zhong, Hao Zhou*
• Keywords: Big Data, Discrete Data, Grid Resource, OGC (Open Geospatial Consortium), Smart Grid (SG), Visualization

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