원문정보
ㅑㅡImplementation of a Disaster Symptom Management(DSM) Solution based on loT Convergence for the High Tall and Complex Building relate with Geo-Space
초록
영어
Disasters in recent times have distinct characteristics such as uncertainty, interactivity and complexity. These characteristics make disaster predictability decrease so that making us harder to manage with disasters. Therefore, the necessity of innovating disaster management system is highly required because the scale of damage is constantly increasing. Additionally, facilities which can have a massive life damage such as multiple-use facilities need a management solution using ICT and supply. In this paper, it makes possible to predict disasters such as collapse by monitoring and detecting it through consisting a multi-sensor network based on IOT and with analysing of data sensing from instruments. It also provides a solution to deal with a disaster by SOP and an information of spatial so that people in the area can evacuate fast and directly. Additionally, by analysis of a social data generating people in disaster sector, we can get the situation of disaster in real-time effectively and it can be minimize the damage of property and human life.
목차
I. 서론
II. 국내외 동향
1. 국내 동향
2. 국외 동향
III. 스마트 재난징후관리 서비스
IV. DSM 시스템
1. 다중 복합 센서 모듈
2. 소셜네트워크 데이터 분석 모듈
3. 실내공간정보 제공 모듈
V. 결론
참고문헌