Early Fire Alert System During an Evacuation with Mobile Sensing Technology

Hideki Mori; Masaki Ito; Kaoru Sezaki

doi:10.20965/jdr.2017.p0320

single-dr.php

« previous

JDR Vol.12 No.2 pp. 320-328

(2017)

doi: 10.20965/jdr.2017.p0320

Paper:

Views over last 60 days: 875

Early Fire Alert System During an Evacuation with Mobile Sensing Technology

Hideki Mori^, Masaki Ito^,†, and Kaoru Sezaki^*,**

^*Institute of Industrial Science, the University of Tokyo
4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan

^†Corresponding author

^**Center for Spatial Information Science, the University of Tokyo, Chiba, Japan

Received:

October 16, 2016

Accepted:

February 15, 2017

Online released:

March 16, 2017

Published:

March 20, 2017

Keywords:

participatory sensing, disaster prevention, mobile sensing.

Abstract

Natural disasters have inflicted major damage on humankind throughout history. Some of the most severe disasters in Japan and other countries have been earthquakes, which frequently trigger secondary disasters such as tsunamis, landslides, and fires. In fact, in Japan, most casualties in an earthquake are not due to the earthquake itself but to secondary disasters. Therefore, detecting the occurrence of secondary disasters and gathering the result in real-time are essential in order to minimize the number of casualties. Thus, we concentrated on creating an effective system for propagating information about fire accidents quickly using pedestrian mobile phones. (Note that we believed detecting fires was the easiest of these secondary disasters.) In addition, we establish a configuration-free system for propagating fire alerts by attaching an ad-hoc network device to fire alarms installed in homes. Thus, we can collect information on fire accidents without configuring any personal location information. We evaluate the effectiveness of our system in the event of a fire. Our results show that we can estimate the location of a fire with an error of <20 m. This is sufficiently accurate to locate a fire in order to obtain an overview of the situation.

Cite this article as:

H. Mori, M. Ito, and K. Sezaki, “Early Fire Alert System During an Evacuation with Mobile Sensing Technology,” J. Disaster Res., Vol.12 No.2, pp. 320-328, 2017.

Data files:

References

[1] S. Konomi, V. Kostakos, K. Sezaki, and R. Shibasaki, “Crowd Sensing for Disaster Response and Preparedness,” In The 77^th National Convention of IPSJ, 2015.
[2] Fire and Disaster Management Agency, Press Report (Only in Japanese).
[3] S. Koshimura, “Establishing the Advanced Disaster Reduction Management System by Fusion of Real-Time Disaster Simulation and Big Data Assimilation,” J. of Disaster Research, Vol.11, No.2, pp. 164–174, 2016.
[4] A. E. c Cetin, K. Dimitropoulos, B. Gouverneur, N. Grammalidis, O. Günay, Y. H. Habibov glu, B. U. Töreyin, and S. Verstockt, “Video fire detection – review,” Digital Signal Processing, 2013.
[5] M. M. M. Amjad, “Naive Bayes Classifier-Based Fire Detection Using Smartphone Sensors,” Master’s thesis, University of Agder, 2014.
[6] S. Bekhor, S. Cohen, Y. Doytsher, Y. Kanza, and Y. Sagiv, “A Personalized GeoSocial App for Surviving an Earthquake (Vision Paper),” In 1^st ACM SIGSPATIAL Int. Workshop on the Use of GIS in Emergency Management, 2015.
[7] D. Li, T. J. Cova, and P. E. Dennison, “An open-source software system for setting wildfire evacuation triggers,” In 1^st ACM SIGSPATIAL Int. Workshop on the Use of GIS in Emergency Management, 2015.
[8] D. Pohl, A. Bouchachia, and H. Hellwagner, “Automatic Sub-Event Detection in Emergency Management Using Social Media,” In WWW ’12 Companion, 2012.
[9] J. Ye, G. Stevenson, and S. Dobson, “Fault Detection for Binary Sensors in Smart Home Fault Detection for Binary Sensors in Smart Home Environments,” In IEEE Int. Conf. on Pervasive Computing and Communications, 2015.
[10] White Paper on Disaster Management 2011.
[11] N. A. Alrajeh, M. Bashir, and B. Shams, “Localization Techniques in Wireless Sensor Networks,” Int. J. of Distributed Sensor Networks, 2013.
[12] A. LaMarca, Y. Chawathe, S. Consolvo, J. Hightower, I. Smith, J. Scott, T. Sohn, J. Howard, J. Hughes, F. Potter, J. Tabert, P. Powledge, G. Borriello, and B. Schilit, “Place Lab: Device Positioning Using Radio Beacons in the Wild,” In Proc. of the 3^rd Int. Conf. on Pervasive Computing, 2005.
[13] K. Sezaki and S. Konomi, “RFID-based positioning systems for enhancing safety and sence of security in Japan,” In The Second Int. Workshop on Ubiqouitous Pervasive and Internet Mapping, 2006.
[14] O. Sangratanachaikul, L. Huang, S. Konomi, and K. Sezaki, “Analysis of Security and Privacy Issues in RFID-based Reference Point Systems,” In Proc. of The Int. Workshop on Privacy-Aware Location-based Mobile Services, 2007.
[15] T. Oki and T. Osaragi, “Risk Evaluation in Returning Home on Foot and Wide-area Evacuation after a Major Earthquake: A Case Study for Kita-senju, Adachi Ward, Tokyo,” pp. 1055-1056, 2014.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] S. Konomi, V. Kostakos, K. Sezaki, and R. Shibasaki, “Crowd Sensing for Disaster Response and Preparedness,” In The 77^th National Convention of IPSJ, 2015.

[2] [2] Fire and Disaster Management Agency, Press Report (Only in Japanese).

[3] [3] S. Koshimura, “Establishing the Advanced Disaster Reduction Management System by Fusion of Real-Time Disaster Simulation and Big Data Assimilation,” J. of Disaster Research, Vol.11, No.2, pp. 164–174, 2016.

[4] [4] A. E. c Cetin, K. Dimitropoulos, B. Gouverneur, N. Grammalidis, O. Günay, Y. H. Habibov glu, B. U. Töreyin, and S. Verstockt, “Video fire detection – review,” Digital Signal Processing, 2013.

[5] [5] M. M. M. Amjad, “Naive Bayes Classifier-Based Fire Detection Using Smartphone Sensors,” Master’s thesis, University of Agder, 2014.

[6] [6] S. Bekhor, S. Cohen, Y. Doytsher, Y. Kanza, and Y. Sagiv, “A Personalized GeoSocial App for Surviving an Earthquake (Vision Paper),” In 1^st ACM SIGSPATIAL Int. Workshop on the Use of GIS in Emergency Management, 2015.

[7] [7] D. Li, T. J. Cova, and P. E. Dennison, “An open-source software system for setting wildfire evacuation triggers,” In 1^st ACM SIGSPATIAL Int. Workshop on the Use of GIS in Emergency Management, 2015.

[8] [8] D. Pohl, A. Bouchachia, and H. Hellwagner, “Automatic Sub-Event Detection in Emergency Management Using Social Media,” In WWW ’12 Companion, 2012.

[9] [9] J. Ye, G. Stevenson, and S. Dobson, “Fault Detection for Binary Sensors in Smart Home Fault Detection for Binary Sensors in Smart Home Environments,” In IEEE Int. Conf. on Pervasive Computing and Communications, 2015.

[10] [10] White Paper on Disaster Management 2011.

[11] [11] N. A. Alrajeh, M. Bashir, and B. Shams, “Localization Techniques in Wireless Sensor Networks,” Int. J. of Distributed Sensor Networks, 2013.

[12] [12] A. LaMarca, Y. Chawathe, S. Consolvo, J. Hightower, I. Smith, J. Scott, T. Sohn, J. Howard, J. Hughes, F. Potter, J. Tabert, P. Powledge, G. Borriello, and B. Schilit, “Place Lab: Device Positioning Using Radio Beacons in the Wild,” In Proc. of the 3^rd Int. Conf. on Pervasive Computing, 2005.

[13] [13] K. Sezaki and S. Konomi, “RFID-based positioning systems for enhancing safety and sence of security in Japan,” In The Second Int. Workshop on Ubiqouitous Pervasive and Internet Mapping, 2006.

[14] [14] O. Sangratanachaikul, L. Huang, S. Konomi, and K. Sezaki, “Analysis of Security and Privacy Issues in RFID-based Reference Point Systems,” In Proc. of The Int. Workshop on Privacy-Aware Location-based Mobile Services, 2007.

[15] [15] T. Oki and T. Osaragi, “Risk Evaluation in Returning Home on Foot and Wide-area Evacuation after a Major Earthquake: A Case Study for Kita-senju, Adachi Ward, Tokyo,” pp. 1055-1056, 2014.

Early Fire Alert System During an Evacuation with Mobile Sensing Technology

Hideki Mori*, Masaki Ito*,†, and Kaoru Sezaki*,**

Hideki Mori^, Masaki Ito^,†, and Kaoru Sezaki^*,**