Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

Study of Gas Diffusion Multivariate Regression Model

Authors
Ying Zhou, Jian-Dong Fang
Corresponding Author
Ying Zhou
Available Online November 2016.
DOI
https://doi.org/10.2991/ceis-16.2016.35How to use a DOI?
Keywords
gas leakage; regression analysis; multiple regressions
Abstract
With the rapid economic development, social demand for chemical products is increasing and the attendant problems have also emerged which the chemical gas will spill during transport. Therefore, understand the leaking gas diffusion trend has great effect on emergency rescue. Around the diffusion problem to tank leak source that may occur during road transportation, under the conditions, a diffusion model of gas leakage are established based on fluent simulation data. It means, establish a multiple regression model reference to regression analysis. The diffusion model was analyzed under the conditions of simulation data in MATLAB. The results show that the Multi-Regression Model can predict the spread of the gas leak in a certain extent. And the paper's research provides a theoretical basis for a gas leakage accident emergency rescue.
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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
DOI
https://doi.org/10.2991/ceis-16.2016.35How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ying Zhou
AU  - Jian-Dong Fang
PY  - 2016/11
DA  - 2016/11
TI  - Study of Gas Diffusion Multivariate Regression Model
BT  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
UR  - https://doi.org/10.2991/ceis-16.2016.35
DO  - https://doi.org/10.2991/ceis-16.2016.35
ID  - Zhou2016/11
ER  -