Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)

Investigation of a Linear Optical Fiber Sensing and Monitoring System

Authors
Jian Chen, Wei Li Bai
Corresponding Author
Jian Chen
Available Online July 2017.
DOI
10.2991/icadme-16.2016.88How to use a DOI?
Keywords
distributed fiber, Raman-scattering, Qt, fire detection, MySQL database
Abstract

In this paper, monitoring software based on principle and structure of distributed optical fiber fire detection used to observe the temperature of the cable laying and realize the real-time alarm is designed. It was written in Qt Programming language with cooperation of optimization design of the signal acquisition hardware system. This system can monitor and display the spatial temperature distribution of the fiber optic fiber accurately, and has the characteristics of friendly interface, strong real-time performance, etc..

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 Advanced Design and Manufacturing Engineering (ICADME 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
10.2991/icadme-16.2016.88
ISSN
2352-5401
DOI
10.2991/icadme-16.2016.88How 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  - Jian Chen
AU  - Wei Li Bai
PY  - 2017/07
DA  - 2017/07
TI  - Investigation of a Linear Optical Fiber Sensing and Monitoring System
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 518
EP  - 521
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.88
DO  - 10.2991/icadme-16.2016.88
ID  - Chen2017/07
ER  -