Big data research and application in oil pipeline inspection

DOI

10.2991/icseee-15.2016.60How to use a DOI?

Keywords

Big data, RFID, pipeline inspection, intelligence.

Abstract

Data mining is a process to find hidden useful information with potential value in huge amount of data. We present a new big data processing system with the data from Oil pipeline inspection. The data mainly get from all kinds of Radio frequency identification (RFID) chips. The system consists of data collecting subsystem, data preprocessing subsystem, data intelligent predict subsystem. The method we use is intelligent algorithm and K-means Clustering. By analyzing the evaluation result, we can give oil carriers suggestions about their oil pipeline design and security prediction.

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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TY  - CONF
AU  - Mujun Wan
PY  - 2016/04
DA  - 2016/04
TI  - Big data research and application in oil pipeline inspection
BT  - Proceedings of the 2015 4th International Conference on Sustainable Energy and Environmental Engineering
PB  - Atlantis Press
SP  - 367
EP  - 370
SN  - 2352-5401
UR  - https://doi.org/10.2991/icseee-15.2016.60
DO  - 10.2991/icseee-15.2016.60
ID  - Wan2016/04
ER  -