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The Design of Water Resources and Hydropower Cloud GIS Platform Based on Big Data

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Geo-Informatics in Resource Management and Sustainable Ecosystem (GRMSE 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 399))

Abstract

The paper introduces the definition and the characteristic of big data. The paper also introduces the internal and external situation, the development tendency of big data. Based on the service-oriented architecture, GIS and cloud computation, the paper issues the water resources and hydropower cloud GIS platform. The purpose of the platform is to manage the various and massive data efficiently based on the construction of the big data fundamental framework of survey, design, construction, environment, immigrant and equipment and supplies. The information provided by the advanced analysis method such as predictive analysis, data mining, statistic analysis SQL, data visualization, etc can be acquired in the platform. After the construction of the well-rounded, decision-intelligently and universal service cloud GIS platform of water resources and hydropower based on big data, the decision support for the owner, the designer and the construction company in the process of planning, design, construction, operation, overhaul and maintenance can be provided efficiently. The paper elaborates the water resources and hydropower big data and the application. The paper discusses some key technologies such as integrating traditional data warehouse tools technology and real-time data processing technology and so on. In the end of the article, the paper discusses the prospective application of big data in water resources and hydropower projects.

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References

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© 2013 Springer-Verlag Berlin Heidelberg

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Wang, X., Sun, Z. (2013). The Design of Water Resources and Hydropower Cloud GIS Platform Based on Big Data. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2013. Communications in Computer and Information Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41908-9_32

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  • DOI: https://doi.org/10.1007/978-3-642-41908-9_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41907-2

  • Online ISBN: 978-3-642-41908-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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