Dissertation/Thesis Abstract

Smart smoke and fire detection with wireless and global system for mobile technology
by Alsaadi, Abdulrahman, M.S., California State University, Long Beach, 2016, 56; 1606705
Abstract (Summary)

Fire safety is one of the major concerns for a safe home environment. Current implementations of home or workplace environment monitoring systems consist of rudimentary smoke detectors devoid of any communication capabilities. Recent trends in the industry have shown a growth in the use of smart devices at homes and with the recent advances in areas of machine learning and data sciences, this trend is expected to evolve at a rate faster than ever before. These smart devices constantly monitor the data of their environment and make decisions by performing data analytics on those observations. Amazon Echo is one such example where an ‘always-listening’ device responds intelligently to a speaker’s command giving its users a Smart Home experience.

In this implementation, we harness the developments in aforementioned areas to make Smart Fire Alarm System. The Smart Fire Alarm constantly monitors the environment and not only alerts the facility where it is located, but it also communicates with the fire department and the guardian of the property through Global System for Mobile (GSM) Communication making the damage control procedures efficient and faster. An ARM7 processor (LPDC 2148), ZigBee IEEE 802.15.4 protocol, and GSM subsystems are used in this implementation to communicate between the base station and smoke detectors.

Indexing (document details)
Advisor: Chassiakos, Anastasios
Commitee: Ary, James, Chu, Chaw-Law
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 55/03M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Electrical engineering
Keywords: Fire safety, Smart fire detection, Smart smoke detection
Publication Number: 1606705
ISBN: 978-1-339-39772-6
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