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Patent Agency Ranking
公开(公告)号：KR102203135B1
公开(公告)日：2021-01-14
申请号：KR1020200077142
申请日：2020-06-24
Applicant: 대한민국(행정안전부 국립재난안전연구원장)
Abstract: 본발명은드론을이용한인공지능기반재난피해정보탐지방법및 시스템에관한것으로보다상세하게는드론의카메라동영상정보와드론의비행로그정보를기반으로한학습데이터셋 구축을통해인공지능모델을구축함으로써, 더욱정확하고객관적으로재난피해정보를탐지할수 있는기술에관한것이다. 본발명의일측면에따르면, 드론을이용한인공지능기반재난피해정보탐지시스템의재난피해정보탐지방법에있어서, 드론으로부터재난지역의동영상정보를전송받는단계, 전송된동영상정보를기설정된인공지능(AI) 모델을통해재난유형및 재난피해영역을판단하는단계, 판단된재난유형및 재난피해영역정보를영상지도로제작하여가시화하는단계를포함하며, 상기인공지능(AI) 모델은, 드론의비행로그정보와동영상메타정보의동기화에기초한복수의학습데이터셋을통해학습됨으로써형성되는것을특징으로한다. 본발명의다른측면에따르면, 드론을이용한인공지능기반재난피해정보탐지시스템에있어서, 본체에탑재된카메라를통해재난지역을촬영한동영상메타정보를획득하고, 본체의비행로그정보를획득하는드론장치및 상기드론장치와무선통신하여, 드론으로부터재난지역의동영상메타정보및 드론의비행로그정보를전송받으며, 기설정된인공지능(AI) 모델을통해전송된재난지역의동영상정보에따른재난유형및 재난피해영역정보를판단하여, 사용자에게가시화하여제공하는워크스테이션장치;를포함하여구성되며, 상기인공지능(AI) 모델은, 드론의비행로그정보와동영상메타정보의동기화에기초한복수의학습데이터셋을통해학습됨으로써형성되는것을특징으로한다.
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公开(公告)号：KR1020140103451A
公开(公告)日：2014-08-27
申请号：KR1020130016827
申请日：2013-02-18
Applicant: 대한민국(행정안전부 국립재난안전연구원장)
CPC classification number: Y02A10/46 , G06Q50/265 , G06F17/3087 , G06Q50/10
Abstract: The present invention relates to a disaster prevention system and method for grading and managing inundation vulnerability, which collect data related to inundation vulnerability such as climatic, hydrologic-topographic, socioeconomic, protection preventative factors, etc. by interworking with a DB of an integrated national spatial data system and spatial information DB of related organizations; analyze inundation vulnerability factors; monitor changes in a vulnerable area in real time in consideration of the inundation vulnerability factors; and provide a disaster prevention map for management of changed data and generated data, sharing of data with related organizations, and management of a web service.
Abstract translation: 本发明涉及一种用于分级和管理淹没脆弱性的防灾系统和方法，其通过与综合国家数据库的交互工作来收集与淹没脆弱性有关的数据，例如气候，水文地貌，社会经济，保护性预防因素等 相关组织的空间数据系统和空间信息数据库; 分析淹没脆弱性因素; 考虑到淹没脆弱性因素，实时监测脆弱地区的变化; 并提供用于管理变更的数据和生成的数据的防灾地图，与相关组织的数据共享以及Web服务的管理。
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