Soft computation technique based fire evacuation system

K. V. Santhosh, Preeti Mohanty

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Occurrence of fire is an unpredictable activity needing very high attention. Early response for fire may lead to less damage of life and property. In this paper a work is proposed for evacuating the people to a safe point once fire accident occurs. The objective of the proposed work is to process the data acquired from smoke and temperature sensor to indicate the direction for movement of people. Computational technique is used to collect data from sensors and display safest path for people to evacuate from the building. Artificial Neural Network (ANN) is trained using particle swarm optimization to produce evacuation information. To test working of proposed technique it is subjected to several test cases, results obtained proves successful implementation of proposed work.

Original languageEnglish
Article numberIPL0315
JournalIndian Journal of Science and Technology
Volume8
Issue number24
DOIs
Publication statusPublished - 2015

Fingerprint

Fires
Temperature sensors
Smoke
Particle swarm optimization (PSO)
Accidents
Neural networks
Sensors

All Science Journal Classification (ASJC) codes

  • General

Cite this

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Soft computation technique based fire evacuation system. / Santhosh, K. V.; Mohanty, Preeti.

In: Indian Journal of Science and Technology, Vol. 8, No. 24, IPL0315, 2015.

Research output: Contribution to journalArticle

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