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An intelligent visualization platform for biohazard incidents based on Cesium
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Science & Technology Review | 2018, 36(13) : 88 - 94
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Science & Technology Review | 2018, 36(13): 88-94
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An intelligent visualization platform for biohazard incidents based on Cesium
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ZHANG Xun1,2, WANG Dongming1, JIANG Dong2,3, FU Jingying2,3, LI Jiangtao1
Affiliations
    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
Published: 2018-07-13 doi: 10.3981/j.issn.1000-7857.2018.13.012
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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.
Cesium  /  bioterrorism  /  system design  /  functional design
张珣, 王冬鸣, 江东, 付晶莹, 李江涛. 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. 科技导报, 2018 , 36 (13) : 88 -94 . DOI: 10.3981/j.issn.1000-7857.2018.13.012
ZHANG Xun, WANG Dongming, JIANG Dong, FU Jingying, LI Jiangtao. An intelligent visualization platform for biohazard incidents based on Cesium[J]. Science & Technology Review, 2018 , 36 (13) : 88 -94 . DOI: 10.3981/j.issn.1000-7857.2018.13.012
Year 2018 volume 36 Issue 13
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doi: 10.3981/j.issn.1000-7857.2018.13.012
  • Receive Date:2018-03-28
  • Online Date:2018-07-23
  • Published:2018-07-13
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  • Received:2018-03-28
  • Revised:2018-06-04
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
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占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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