Fiber Optic Sensors Materials based Spontaneous Combustion Detection in Goaf Areas

DOI

10.2991/ismems-16.2016.19How to use a DOI?

Keywords

Prediction and detection, Fiber optic sensor materials, Spontaneous combustion, Goaf areas, Coal mines

Abstract

The main objective of this paper is to provide a possible monitoring system, which includes multiple sensors such as fiber optic temperature sensor, gas sensor and differential absorptive methane optic fiber sensor. Optic fiber sensors offer a number of unique advantages for safety monitoring in explosive and hazardous environment of the underground coal mines. The application potential and future trend of optic fiber sensors for coal mine hazard detection and prevention are discussed. This paper also researches on the prediction methodologies such as spontaneous combustion tendency prediction method, factors judgment prediction, experience statistical prediction method and mathematical models based on coal layer conditions, mining methods, and goaf areas. The combination uses of fiber optic sensors and prediction models are helpful to increase the safety of coal mines

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  - Enji Sun
PY  - 2016/12
DA  - 2016/12
TI  - Fiber Optic Sensors Materials based Spontaneous Combustion Detection in Goaf Areas
BT  - Proceedings of the International Symposium on Mechanical Engineering and Material Science
PB  - Atlantis Press
SP  - 106
EP  - 112
SN  - 2352-5401
UR  - https://doi.org/10.2991/ismems-16.2016.19
DO  - 10.2991/ismems-16.2016.19
ID  - Sun2016/12
ER  -