Abstract
Recently, there stands an upsurge to construct smart city all over China. A higher demand is put forward to real-time and dynamic data. At present, city data is multi-source, inconsistent and hard to match in most region of China, which can’t meet the need of smart city construction. This paper focuses on the connotation and techniques of data resource management platform, which is oriented to data acquisition and integration. Based on systematic analysis of city data resource, we discussed the common features from four dimensions of time, space, user and theme, and proposed a multi-dimensional data model. Besides, we designed and implemented the data resource management platform. Key techniques, such as comprehensive data acquisition, data storage and dynamical update, fusion method for multi-source heterogeneous data, full-scale data encoding and spatial-temporal data warehouse, were described. The data resource management platform can provide a data support for comprehensively application and multi-dimensional decision analysis in smart city.
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Shao, J., Yang, Ln., Peng, L., Yao, Xj., Zhao, XL. (2015). Research of Data Resource Management Platform in Smart City. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_2
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DOI: https://doi.org/10.1007/978-3-662-45737-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45736-8
Online ISBN: 978-3-662-45737-5
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