Santhosh, K V and Mohanty, Preeti (2015) Soft Computation Technique based Fire Evacuation System. Indian Journal of Science and Technology, 8 (24). ISSN 0974-6846

PDF Paper 3.pdf - Published Version Restricted to Registered users only Download (1MB) | Request a copy

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.

Item Type:	Article
Uncontrolled Keywords:	Evacuation, Fire Safety, LabVIEW, Soft Computing
Subjects:	Engineering > MIT Manipal > Instrumentation and Control
Depositing User:	MIT Library
Date Deposited:	05 Nov 2015 15:14
Last Modified:	05 Nov 2015 15:14
URI:	http://eprints.manipal.edu/id/eprint/144497

Actions (login required)

View Item