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Volume 39 Issue 6
Jun.  2014
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Article Contents

LI Deren, YAO Yuan, SHAO Zhenfeng. Big Data in Smart City[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 631-640. doi: 10.13203/j.whugis20140135
Citation: LI Deren, YAO Yuan, SHAO Zhenfeng. Big Data in Smart City[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 631-640. doi: 10.13203/j.whugis20140135

Big Data in Smart City

doi: 10.13203/j.whugis20140135
Funds:  The National Key Basic Research Program,No. 2010CB731801;the National Natural Science Foundation of China,No. 61172174;the Open Fund of the Key Laboratory of Digital Oceanic Science and Technology,No. KLDO201307;the National Key Scientific Instrument and Equipment Development,No. 2012YQ16018505;the Key Technologies Research and Development Program of China,No. 2013BAH42F03
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  • Author Bio:

    LI Deren,professor,PhD supervisor,Academician of Chinese Academy of Sciences,Academician of Chinese Academy ofEngineering,Academician of Euro-Asia International Academy of Sciences.He is concentrated on the research and education in spatial in-formation science and technology represented by RS,GPS and GIS,and promote the construction of digital city,digital China,smart cityand smart China.

  • Corresponding author: YAO Yuan
  • Received Date: 2014-01-25
  • Rev Recd Date: 2014-06-05
  • Publish Date: 2014-06-05
  • Objective In this paper,we introduce the concept of the smart city,summarize its developmentprocess,analyze the construction motivation and objective of the smart city in China and elaborate thesupporting technologies for the smart city.Then we propose a smart city infrastructure which is basedon digital city,the Internet of Things(IOT)and cloud computing technologies.Smart city will a-chieve comprehensive awareness and management of people and things to provide various intelligentservices.Smart city with mass sensors will continuously collect vast amounts of data.Big data insmart city also bring many problems and challenges.To deal with those big data-related issues,wepropose a strategy mainly base on the cloud computing and data mining.After that,we presente aframework for cloud platform and propose the suggestion of establish smart city operation center.Inthe end,we look forward to a bright future for the smart city.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Big Data in Smart City

doi: 10.13203/j.whugis20140135
Funds:  The National Key Basic Research Program,No. 2010CB731801;the National Natural Science Foundation of China,No. 61172174;the Open Fund of the Key Laboratory of Digital Oceanic Science and Technology,No. KLDO201307;the National Key Scientific Instrument and Equipment Development,No. 2012YQ16018505;the Key Technologies Research and Development Program of China,No. 2013BAH42F03
  • Author Bio:

  • Corresponding author: YAO Yuan

Abstract: Objective In this paper,we introduce the concept of the smart city,summarize its developmentprocess,analyze the construction motivation and objective of the smart city in China and elaborate thesupporting technologies for the smart city.Then we propose a smart city infrastructure which is basedon digital city,the Internet of Things(IOT)and cloud computing technologies.Smart city will a-chieve comprehensive awareness and management of people and things to provide various intelligentservices.Smart city with mass sensors will continuously collect vast amounts of data.Big data insmart city also bring many problems and challenges.To deal with those big data-related issues,wepropose a strategy mainly base on the cloud computing and data mining.After that,we presente aframework for cloud platform and propose the suggestion of establish smart city operation center.Inthe end,we look forward to a bright future for the smart city.

LI Deren, YAO Yuan, SHAO Zhenfeng. Big Data in Smart City[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 631-640. doi: 10.13203/j.whugis20140135
Citation: LI Deren, YAO Yuan, SHAO Zhenfeng. Big Data in Smart City[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 631-640. doi: 10.13203/j.whugis20140135

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