A study on IoT (Internet of things)-based disaster detection and prevention system

Chang Hoon Choi; You Sik Hong; Jong Sup Lee

doi:10.1166/asl.2016.7966

A study on IoT (Internet of things)-based disaster detection and prevention system

Chang Hoon Choi, You Sik Hong, Jong Sup Lee

Department of Software

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Studies on monitoring and detecting various disasters using the IoT (Internet of Things)-based environment are actively carried out. This paper conducted the simulation of a system automatically judging a variety of accidents and disasters in the IoT-based environment. In addition, this study performed research on automatic sending short written messages using SMS (short message service) to the National Disaster Information Center, when a disaster including a fire occurs, by constituting the wireless sensor environment with an Arduino sensor and realizing a smart image system in the Web platform.

Original language	English
Pages (from-to)	3446-3448
Number of pages	3
Journal	Advanced Science Letters
Volume	22
Issue number	11
DOIs	https://doi.org/10.1166/asl.2016.7966
State	Published - Nov 2016

Keywords

Fire detection
Fuzzy
Infrared ray analysis
IoT
Sensor

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10.1166/asl.2016.7966

Cite this

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abstract = "Studies on monitoring and detecting various disasters using the IoT (Internet of Things)-based environment are actively carried out. This paper conducted the simulation of a system automatically judging a variety of accidents and disasters in the IoT-based environment. In addition, this study performed research on automatic sending short written messages using SMS (short message service) to the National Disaster Information Center, when a disaster including a fire occurs, by constituting the wireless sensor environment with an Arduino sensor and realizing a smart image system in the Web platform.",

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KW - Infrared ray analysis

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KW - Sensor

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A study on IoT (Internet of things)-based disaster detection and prevention system

Abstract

Keywords

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