ElectricVIS: visual analysis system for power supply data of smart city

被引：0
作者：
Qiang Lu
Wenqiang Xu
Haibo Zhang
Qingpeng Tang
Jie Li
Rui Fang
机构：
[1] Hefei University of Technology,School of Computer and Information
[2] Hefei University of Technology,Anhui Province Key Laboratory of Industry Safety and Emergency Technology
[3] Hefei Engineering Research Center of Electric Power Data Application,undefined
[4] State Grid Hefei Power Supply Company,undefined
[5] University of Shanghai for Science and Technology,undefined
来源：
The Journal of Supercomputing | 2020年 / 76卷
关键词：
Smart city; Visual analysis; Urban power supply; Graphic design;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Smart grids provide a key driver for smart city development. The smart city power supply data visualization can realize the power characteristic information of various attributes and operating states in the online monitoring data of massive power equipments in a graphical and visual presentation, which provides a powerful guarantee for timely and effective monitoring and analysis of equipment operating status. However, with the rapid development of smart cities, the complexity of urban power data and the ever-increasing amount of data hinder the power managers’ understanding and analysis of the power supply situation. Based on the smart city power supply data, a novel visual analysis system ElectricVis for urban power supply situation is proposed, which can interactively analyze large-scale urban power supply data. ElectricVis reduces the difficulty of understanding urban power supply situations by adopting novel visual graphic designs and time patterns that display power data in multiple scales. ElectricVis also provides different visual views and interaction methods for interrelated hierarchical data in urban power data, which is critical for detecting the cause of anomalous data. Finally, we evaluated our system through case studies and analysis by power experts.
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页码：793 / 813
页数：20
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