Journal of the Korean Institute of Gas (한국가스학회지)

The Korean Institute of GAS (한국가스학회)
권호 표지
DOI QR코드

DOI QR Code

Real-Time Location Identification of Indoor Rescuees at Accident Sites and Location-Based Rescue Response

사고 현장 실시간 실내 인명 위치확인 및 구조대응 연구

  • Ko, Youngjoo (Dept. of Disaster and Safety, Myongji University) ;
  • Shin, Yongbeom (Dept. of Chemical Engineering, Myongji University) ;
  • Yoo, Sangwoo (Dept. of Disaster and Safety, Myongji University) ;
  • Shin, Dongil (Dept. of Disaster and Safety, Myongji University)
  • 고영주 (명지대학교 재난안전학과) ;
  • 신용범 (명지대학교 화학공학과) ;
  • 유상우 (명지대학교 재난안전학과) ;
  • 신동일 (명지대학교 화학공학과/재난안전학과)
  • Received : 2021.05.06
  • Accepted : 2021.06.25
  • Published : 2021.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this study, the on-site location identification and response system was proposed by accurately checking the location information of rescue requesters in the buildings using the smartphone Wi-Fi AP. The location server was requested to measure the strength of the Wi-Fi AP at least 25 times at 8 different building location points. And the accuracy of the position and the error range were checked by analyzing the coordinate values of the received positions. In addition, the response time was measured by changing the conditions of location information in three groups to compare the response time for saving lives with and without location information. The minimum and maximum error values for the eight cases were found to be at least 4.137 m and up to 14.037 m, respectively, with an average error of 9.525 m. Compared to the base transceiver station (BTS) based position error value of 263m, the range could be reduced by up to 93%. When the location information was given, it took 10 minutes and 50 seconds to save lives; however, when there was no location information at all, rescue process took more than 45 minutes. From this research effort, it was analyzed that the acquisition of the location information of rescuees in the building using the smartphone Wi-Fi AP approach is effective in reducing the life-saving time for on-site responses.

본 연구는 스마트폰 Wi-Fi AP를 이용한 건축물내 구조대상자 위치정보 수집을 통해서 사고 현장대응에 활용할 수 있는 방안을 제안하고 그 효용성에 대해 분석하였다. 8개 건축물 지점에서 평균 30회 이상 Wi-Fi AP 네이밍 위치 확인 및 전파세기를 측정하도록 위치 측위 서버에 요청하고, 수신된 측위 결과 좌표값을 분석하는 방식으로 위치정보의 정확도와 오차범위를 확인하였다. 기존 기지국 기반 위치 오차값 263m에 대비해 최대 93% 이상 범위를 축소할 수 있었고, 8개 지점의 최소·최대 오차값은 4.137m ~ 14.037m, 평균오차는 9.525m로 확인되었다. 위치정보 유무에 따라 인명구조에 소요되는 시간을 3가지 상황에 대해 비교한 결과, 화재진압 및 인명구조에 소요되는 측정시간 결과는 위치정보가 정확하게 소방대원에게 제공되었을 경우 구조활동에 소요되는 시간이 10분 50초로 나타났으나, 위치정보가 전혀 없는 경우 45분 이상 소요되었다. 스마트폰 Wi-Fi AP을 이용하여 건축물 내 구조대상자 위치정보를 정확하게 구조대원에게 제공함을 통해, 사고 현장에서 탐색에 소요되는 시간을 단축시킴으로써, 인명구조 및 골든타임 확보에 제안 시스템이 효과적인 것으로 분석되었다.

Keywords

Acknowledgement

본 연구는 산업통상자원부 지식서비스산업기술개발사업-서비스핵심기술개발(20009265, 산업현장 화학물질 접촉 증상과 실시간 센서정보 융합 감지시스템(SEARCH) 지식서비스 개발)의 연구비지원과 스마트디지털엔지니어링전문인력양성사업(P0008475-G02P04570001903)의 연구비지원에 의해 수행되었습니다. 이에 감사드립니다.

References

  1. Baek, M, Y., "The Location information accuracy raise solution of the emergency rescue purpose", Graduate School of Information Security, Korea University, (2014)
  2. Kim, K, H., "A Study on the Improvement of Location Information System for Efficient Emergency Structure", Graduate School of Industry, Kyonggi University, (2013)
  3. Park, J. C. and Kwak, Y. G., "Comparison of the Operation of the Location Tracking System for Emergency Reporting: Focusing on 112 and 119 Reporting", Journal of Public Security Administration of Korea, 14(4), 23-44, (2018)
  4. Tiberi, U., "Introducing Control Theory in Industry: The case of V-model embedded software developers", IFAC-PapersOnLine, 53(2), 17320-17325, (2020) https://doi.org/10.1016/j.ifacol.2020.12.1817
  5. Ponce, P., Mendez, E. and Molina, A., "Teaching fuzzy controllers through a V-model based methodology", Computers & Electrical Engineering, 94, 107267, (2021) https://doi.org/10.1016/j.compeleceng.2021.107267
  6. Yiu, S., Dashti, M., Claussen, H. and Perez-Cruz, F., "Locating user equipments and access points using RSSI fingerprints: A Gaussian process approach", 2016 IEEE International Conference on Communications, 1-6, (2016)
  7. Yoo, J., "Change Detection of RSSI Fingerprint Pattern for Indoor Positioning System", IEEE Sensors Journal, 20(5), 2608-2615, (2020) https://doi.org/10.1109/jsen.2019.2951712
  8. Yu, X., Wang, H. and Wu, J. "A method of fingerprint indoor localization based on received signal strength difference by using compressive sensing", EURASIP Journal on Wireless Communications and Networking, 2020(72), (2020)