Developing A Fire Monitoring and Control System Based on IoT

DOI

10.2991/aiie-16.2016.40How to use a DOI?

Keywords

internet of things(IoT); fire monitoring and control; ontology; fire safety evaluation

Abstract

An novel fire extinguishing monitoring and control system is proposed in this paper. The system combines online monitoring of fire extinguishing information based on Internet of things (IoT), early fire warning and alarm system with building safety evaluation, which are designed to acquiring the real-time information of fire extinguishing working condition, improving the reliable prediction mechanism in traditional fire monitoring system. A perception terminal based on IoT is developed and the fire real-time monitoring and control system is designed in this paper. The novel system can acquire the real-time working condition information of fire extinguishing facilities, such as pipe flow, pressure, temperature and humidity of the environment, current and voltage of the electric equipment, valve switch, relay action, alarming message, it can upload the collected data to the monitoring center through the C/S(Client /Server) architecture. Based on these data, an electrical early fire warning model based on BP neural network is proposed. A fire safety evaluation model based on ontology with the usage of protege is established, which facilitate the on-line monitoring and control of building fire protection information, the prediction of electrical fire and improve building safety level evaluation.

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  - Yi Li
AU  - Jianjun Yi
AU  - Xiaoming Zhu
AU  - Zhuoran Wang
AU  - Fangwen Xu
PY  - 2016/11
DA  - 2016/11
TI  - Developing A Fire Monitoring and Control System Based on IoT
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 174
EP  - 178
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.40
DO  - 10.2991/aiie-16.2016.40
ID  - Li2016/11
ER  -