Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

Application of data fusion in the main station of power acquisition system

Authors
Haifeng Lin, Tao Liu, Guang Chen, Rui Zhao
Corresponding Author
Haifeng Lin
Available Online June 2016.
DOI
10.2991/mmebc-16.2016.189How to use a DOI?
Keywords
multi-database fusion, relational database, non-relational database, the electric power information acquisition system
Abstract

The data of the electric power information acquisition system can generate mass data by the accumulation. It is a question to store the data as the increase of sampling frequency. Facing the data properties with large scale and larger gathering density, it will be less efficient if the past technology is adopted in practical applications. In order to solve the problems of the power information mass data collection storage and transfer in real time, a new multi-database fusion technique is proposed, namely the reach, design and implementation of D3Base based on distributed relational database and NOSQL based on non-relational database. It has been applied in key station of the electric information acquisition system. We comprehensive compare the traditional Oracle database with the improvement multi-database fusion method, and illustrate the availability and the practicability of this new scheme by experiment.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-210-7
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.189How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Haifeng Lin
AU  - Tao Liu
AU  - Guang Chen
AU  - Rui Zhao
PY  - 2016/06
DA  - 2016/06
TI  - Application of data fusion in the main station of power acquisition system
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 903
EP  - 908
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.189
DO  - 10.2991/mmebc-16.2016.189
ID  - Lin2016/06
ER  -