Visualization is an established methodology in scientific computing. It has been used in many fields because of its strong capability in large data management and information display. However, its applications in powe...Visualization is an established methodology in scientific computing. It has been used in many fields because of its strong capability in large data management and information display. However, its applications in power systems, especially in Smart Grid are still in infancy stage. Besides, while there were a lot of researches working on visualizing data in transmission power system, the study on displaying distribution power system data was limited. Therefore, in this paper, author proposed some techniques to visualize the Smart Grid data at distribution. They are classified in three categories, which are low dimensional techniques, multivariate high dimensional techniques and Geographical Information System (GIS) techniques.展开更多
Digital Earth is an important field of information technology and a research frontier of geosciences in the 21st century.So far,the Grid computing technique is one of the best solutions for Digital Earth infrastructur...Digital Earth is an important field of information technology and a research frontier of geosciences in the 21st century.So far,the Grid computing technique is one of the best solutions for Digital Earth infrastructure.Digital Earth can only be realised through the interaction of people,heterogeneous computing resources,information systems,and instruments,all of which are geographically and organisationally dispersed.Earth observation(EO)includes information acquisition,processing and applications.Information acquisition provides a vast amount of spatial data for building the fabric resource infrastructure.Information processing means that spatial information processing middleware is used with large amounts of secure Grid computing resources for real-time processing of all kinds of spatial data.We are currently working on the development of coremiddleware for EO data processing and applications for the Digital Earth Prototype System,which is available in the Institute of Remote Sensing Applications(IRSA),Chinese Academy of Sciences(CAS)The further results will be available soon.展开更多
文摘Visualization is an established methodology in scientific computing. It has been used in many fields because of its strong capability in large data management and information display. However, its applications in power systems, especially in Smart Grid are still in infancy stage. Besides, while there were a lot of researches working on visualizing data in transmission power system, the study on displaying distribution power system data was limited. Therefore, in this paper, author proposed some techniques to visualize the Smart Grid data at distribution. They are classified in three categories, which are low dimensional techniques, multivariate high dimensional techniques and Geographical Information System (GIS) techniques.
基金‘Multi-scale Aerosol Optical Thickness Quantitative Retrieval from Remotely Sensing Data at Urban Area’(40671142)‘Aerosol fast monitoring modelling using MODIS data and middlewares development’(40471091)+1 种基金NSFC,China,‘Digital Earth(KZCX2-312)’funded by CAS,China‘Dynamic Monitoring of Beijing Olympic Environment Using Remote Sensing’(2002BA904B07-2)funded by the MOST,China.
文摘Digital Earth is an important field of information technology and a research frontier of geosciences in the 21st century.So far,the Grid computing technique is one of the best solutions for Digital Earth infrastructure.Digital Earth can only be realised through the interaction of people,heterogeneous computing resources,information systems,and instruments,all of which are geographically and organisationally dispersed.Earth observation(EO)includes information acquisition,processing and applications.Information acquisition provides a vast amount of spatial data for building the fabric resource infrastructure.Information processing means that spatial information processing middleware is used with large amounts of secure Grid computing resources for real-time processing of all kinds of spatial data.We are currently working on the development of coremiddleware for EO data processing and applications for the Digital Earth Prototype System,which is available in the Institute of Remote Sensing Applications(IRSA),Chinese Academy of Sciences(CAS)The further results will be available soon.