Forecasting the Environment Changes with the ARMA Model for Application to an Oil Tank Fire Hazard

DOI

10.2991/cas-15.2015.1How to use a DOI?

Keywords

time series forecasting; oil tank farm; ARMA; environment change

Abstract

In oil tank farm, the fire hazard causes a great loss to both people and property. Once there is a fire, to avoid more loss, a reliable, secure and practical method for putting out a fire is needed. And under this circumstance, the accurate forecasting of the changes of the environment, such as temperature or humidity, is of great value. We employed time series analysis method to forecast the temperature and humidity changes when there was a fire accident in the oil tank farm. According to the record, we modelled a suitable ARMA model. And the results show that ARMA is an effective method to predict time varying series in the oil tank farm. Our results in this paper also provide an important way of studying the fire spreading in the oil tank farm

Copyright

© 2015, 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  - Ni Yuanzhi
AU  - Zhang Jie
AU  - Lyu Ming
AU  - Bo Yuming
PY  - 2015/08
DA  - 2015/08
TI  - Forecasting the Environment Changes with the ARMA Model for Application to an Oil Tank Fire Hazard
BT  - Proceedings of the 2015 AASRI International Conference on Circuits and Systems
PB  - Atlantis Press
SP  - 1
EP  - 5
SN  - 2352-538X
UR  - https://doi.org/10.2991/cas-15.2015.1
DO  - 10.2991/cas-15.2015.1
ID  - Yuanzhi2015/08
ER  -