JAUE2022-123: Development of Disaster Management System (DMS) for Public Facilities of TAEGU based on IoT

Abstract

Due to the frequent occurrence of large-scale disasters such as recent earth quakes, the problem of the safety of old Public Facilities has emerged. The need to secure safety management technology through constant monitoring is increasing in an attempt to supplement old Public Facilities with weak disaster response capabilities. Traditional research is approaching the development of an existing sensor-based risk precursor information monitoring system. However, unlike this, in this study, we will focus on the development of a data analysis platform as part of the development of a continuous monitoring system that can be prepared for earth quakes, collapses, and fires, based on constantly measured data. For this reason, we have developed a safety diagnosis algorithm based on the optimal sensor attachment point and sensor data reflecting the weak characteristics of old public facilities. Using this, we have established system for maintenance and safety inspection messages and behavior manuals of public facilities.