277438 Fire Incident Anomaly Detection and Monitoring System Based On Mining of National Fire Data

Monday, October 29, 2012
Hall B (Convention Center )
Dongil Peter Shin, Dept. of Chemical Engineering, Myongji University, Yongin, Kyunggido, South Korea and Kidon Joo, Dept. of Chemical Engineering, Myongji University, Yongin, South Korea

A real-time anomaly detection and monitoring system of fire incidents has been developed and is on test based on data mining of national fire data. U.S., Korea and most developed countries keep their records of fire incidents and provide basic statistics on the occurrence of fires. However, these massive and valuable data have not been used to proactively manage and reduce the number of fire occurrences or the loss from fire.

Like U.S. National Fire Incident Reporting System (NFIRS), The National Fire Data System (NFDS) of Korea has two objectives: to help national and local governments develop fire reporting and analysis capability for their own use, and to obtain data that can be used to more accurately assess and subsequently combat the fire problem at a national level. To meet these objectives, the NEMA has developed a standard NFDS package that includes incident and casualty forms, a coding structure for data processing purposes, manuals, computer software and procedures, documentation and a training course for utilizing the system.


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