• Title/Summary/Keyword: Early Disaster Alerting

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A Study on Real-Time Detection of Physical Abnormalities of Forestry Worker and Establishment of Disaster Early Warning IOT (임업인의 신체 이상 징후 실시간 감지 및 재해 조기경보 사물인터넷 구축에 관한 연구)

  • Park, In-Kyu;Ham, Woon-Chul
    • Journal of Convergence for Information Technology
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    • v.11 no.5
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    • pp.1-8
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    • 2021
  • In this paper, we propose the construction of an IOT that monitors foresters' physical abnormalities in real time, performs emergency measures, and provides alarms for natural disasters or heatstroke such as a nearby forest fire or landslide. Nodes provided to foresters include 6-axis sensors, temperature sensors, GPS, and LoRa, and transmit the measured data to the network server through the gateway using LoRa communication. The network server uses 6-axis sensor data to determine whether or not a forester has any signs of abnormal body, and performs emergency measures by tracking GPS location. After analyzing the temperature data, it provides an alarm when there is a possibility of heat stroke or when a forest fire or landslide occurs in the vicinity. In this paper, it was confirmed that the real-time detection of physical abnormalities of foresters and the establishment of disaster early warning IOT is possible by analyzing the data obtained by constructing a node and a gateway and constructing a network server.

Study of the Improvement of False Fire Alarms in Analog Photoelectric Type Smoke Detectors (아날로그 광전식 연기감지기 비화재보 개선에 대한 연구)

  • Seo, Byung Keun;Nam, Sang Gu
    • Fire Science and Engineering
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    • v.30 no.5
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    • pp.108-115
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    • 2016
  • Fire detectors play an important role in alerting the related people to the initial stages of fire to protect assets and life. Therefore, the performance in detecting fires in the early stages without the risk of false alarms is important. Owing to a recent revision of the national fire safety standards to install smoke detectors in living rooms used for sleeping, staying, hospitalizing in apartment house/efficiency apartment/lodging facility/medical facility/facility for elderly and young, the application of smoke detectors is increasing. On the other hand, there is lack of research in preventing false alarms. This study improved algorithms to prevent false alarms in analog photoelectric smoke detector's due to sudden dust and better classify pollution and fire signals through a self-compensatory function. Through this study, alternatives are suggested to reduce the number of false alarms of Analog Photoelectric smoke detectors, and prevent financial losses due to false alarms.