Article(id=1242136955849355796, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242136935880270337, articleNumber=null, orderNo=15, doi=10.3981/j.issn.1000-7857.2018.13.012, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1522166400000, receivedDateStr=2018-03-28, revisedDate=1528041600000, revisedDateStr=2018-06-04, acceptedDate=null, acceptedDateStr=null, onlineDate=1532312426650, onlineDateStr=2018-07-23, pubDate=1531411200000, pubDateStr=2018-07-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1532312426650, onlineIssueDateStr=2018-07-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078128058, creator=sys-migrate, updateTime=1774078128058, updator=sys-migrate, issue=Issue{id=1242136935880270337, tenantId=1146029695717560320, journalId=1146031591421210625, year='2018', volume='36', issue='13', pageStart='1', pageEnd='96', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078123299, creator=sys-migrate, updateTime=1774078123299, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=88, endPage=94, ext={EN=ArticleExt(id=1242136961905930798, articleId=1242136955849355796, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=An intelligent visualization platform for biohazard incidents based on Cesium, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=The purpose of this research is to meet the urgent needs of emergent biological hazard event simulation prediction research due to the new worldwide situation of complex biological hazard. With the help of the Cesium framework, an open source software tool for 3D geographic information technology from WebGL, this paper defines the overall framework of emergent biological hazard event platform. On this basis, a database of emergent biological hazard events is established, and for modules, namely analogue simulation function module, hazard assessment function module, auxiliary decision function module, and intervention measures function module are developed for three application scenarioes of bioterrorism, biological invasion, and infectious diseases. So a 3D earth biological platform for emergent biological hazard events has been implemented, which aims to provide a visual analysis platform for emergent biological hazard event research decision-making with data support and software platform guarantee., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=ZvTEKEe7QV7wLyk2ZPR0kg==, pdfFileSize=3389341, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. Beijing Key Laboratory of Food Safety Big Data Technology, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;
2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China, fund=null, authors=ZHANG Xun^1,2, WANG Dongming¹, JIANG Dong^2,3, FU Jingying^2,3, LI Jiangtao¹, authorsList=ZHANG Xun, WANG Dongming, JIANG Dong, FU Jingying, LI Jiangtao), CN=ArticleExt(id=1242136959334818398, articleId=1242136955849355796, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于Cesium框架的突发生物危害事件可视化智能决策支持平台, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=面对全球范围内复杂多变的突发生物危害事件的新形势，为了满足突发生物危害事件模拟预测研究的迫切需求，本文基于开源的三维地理信息Cesium框架和WebGL技术，明确了突发生物危害事件决策平台的总体构架方案。在此基础上，建立了面向突发生物危害事件要素数据库，以生物恐怖袭击、生物入侵和突发传染病3种应用场景，实现了从仿真模拟、到危害评估、再到辅助决策与干预措施的功能模块，建立了一套三维地球场景的突发生物危害事件可视化智能决策支持平台。, correspAuthors=null, authorNote=张珣,副教授,研究方向为GIS软件技术,电子信箱:zhangxun@lreis.ac.cn, correspAuthorsNote=江东(通信作者),研究员,研究方向为资源环境遥感监测,电子信箱:jiangd@igsnrr.ac.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=CcHLpuWGHTrEUiTSYG4Nkw==, pdfFileSize=3389341, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 北京工商大学计算机与信息工程学院;食品安全大数据技术北京市重点实验室, 北京 100048;
2. 中国科学院地理科学与资源研究所, 北京 100101;
3. 中国科学院大学资源与环境学院, 北京 100049, fund=国家重点研发计划项目（2016YFC1201300）, authors=张珣^1,2, 王冬鸣¹, 江东^2,3, 付晶莹^2,3, 李江涛¹, authorsList=张珣, 王冬鸣, 江东, 付晶莹, 李江涛)}, authors=[Author(id=1277214741672095965, tenantId=1146029695717560320, journalId=null, articleId=1242136955849355796, orderNo=null, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=null, email=null, emailSecond=null, emailThird=null, correspondingAuthor=null, authorType=null, ext={EN=AuthorExt(id=null, tenantId=null, journalId=1146031591421210625, articleId=1242136955849355796, authorId=1277214741672095965, language=EN, stringName=ZHANG Xun, WANG Dongming, JIANG Dong, FU Jingying, LI Jiangtao, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=null, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=null, tenantId=null, 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