Wanjiang Han, Xiaoxiang Wang, Shuwen Chen, Feifei Gong
{"title":"Research on Integrated Management of Multi-Source Heterogeneous Disaster Data","authors":"Wanjiang Han, Xiaoxiang Wang, Shuwen Chen, Feifei Gong","doi":"10.12783/DTMSE/AMEME2020/35528","DOIUrl":null,"url":null,"abstract":"An earthquake is a natural disaster with great destructive power and serious harm to humans. The collection of earthquake disaster information is a very complicated task, and it is even more difficult to mine valuable information from the massive, scattered and real-time changing disaster data. In response to the problems of slow and fragmented postearthquake disaster acquisition, large errors in disaster assessment, and inadequate decision support, this paper describes the design of open data interfaces to collect disaster data information from different sources and different structures in the shortest time, then implement integrated encoding to achieve dynamic management of disaster data throughout the life cycle. The experiment shows that the effect is good. This result provides a decision-making basis for rapid and effective emergency rescue of relevant departments.","PeriodicalId":11124,"journal":{"name":"DEStech Transactions on Materials Science and Engineering","volume":"38 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Materials Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/DTMSE/AMEME2020/35528","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An earthquake is a natural disaster with great destructive power and serious harm to humans. The collection of earthquake disaster information is a very complicated task, and it is even more difficult to mine valuable information from the massive, scattered and real-time changing disaster data. In response to the problems of slow and fragmented postearthquake disaster acquisition, large errors in disaster assessment, and inadequate decision support, this paper describes the design of open data interfaces to collect disaster data information from different sources and different structures in the shortest time, then implement integrated encoding to achieve dynamic management of disaster data throughout the life cycle. The experiment shows that the effect is good. This result provides a decision-making basis for rapid and effective emergency rescue of relevant departments.