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Data Exchange Solution for Seismic Precursory Observation Data

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Advances in Computer Science and Information Engineering

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 169))

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Abstract

China seismic precursory network consists of more than 800 precursory monitoring stations and over 30 Oracle database nodes, and it is responsible for collecting, transferring and monitoring the seismic precursory data. There are several approaches to exchange data among database nodes, but they are mostly adapt to two Oracle database nodes and difficult to manage for the usage of database link (DBlink) technology. In this paper, we introduced a novel data exchange solution for seismic precursory observation data using user-defined update operation logs. While an update operation (insert, delete or update) triggers, the relative information of it will be recorded into the update log table. We detail the update log table schemer, exchange task structure and three phase of an exchange task: export, transfer and import phases. This solution is an effective, manageable, flexible solution for exchange of seismic precursory observation data.

This work is supported by the Teacher Research Fund of China Earthquake Administration (No. 20110110) and Youth Science Fund for Disaster Prevention and Reduction (No. 200905).

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Correspondence to WeiFeng Shan .

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Shan, W., Li, J., Liu, Q., Zhang, B. (2012). Data Exchange Solution for Seismic Precursory Observation Data. In: Jin, D., Lin, S. (eds) Advances in Computer Science and Information Engineering. Advances in Intelligent and Soft Computing, vol 169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30223-7_32

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  • DOI: https://doi.org/10.1007/978-3-642-30223-7_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30222-0

  • Online ISBN: 978-3-642-30223-7

  • eBook Packages: EngineeringEngineering (R0)

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