| 基于Hadoop和Spark的森林火灾混合大数据分析系统研究 |
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| 引用本文： | 曾志强,何小东,王颖,吴鑫.基于Hadoop和Spark的森林火灾混合大数据分析系统研究[J].世界林业研究,2018,31(2):55-59. |
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| 作者姓名： | 曾志强 何小东 王颖 吴鑫 |
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| 作者单位： | 1.中南林业科技大学计算机与信息工程学院, 长沙 410004 |
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| 基金项目： | 湖南省重点研发计划项目“自然灾害动态监测与预警可视化大数据平台集成”（2016sk2027）。 |
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| 摘 要： | 针对当前森林火灾动态监测与预警中海量、异构、多源、动态的数据在存储、计算、管理方面所面临的挑战，以及国内外在森林火灾动态监测与预警上的研究往往只考虑单一领域或技术的问题，结合新兴的大数据分析与处理技术，融合林火动态监测与预警不同技术领域的研究成果，对林火多源异构数据采用混合处理方法，基于Hadoop和Spark大数据集成平台构建了一个森林火灾混合大数据分析系统。并设计一个林火火点检测实验，通过实验验证了该系统的可行性和有效性，可为后续研究和建立森林火灾动态监测与预警可视化大数据平台提供参考。
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| 关 键 词： | 森林火灾 多源异构数据 混合大数据分析 动态监测与预警 可视化 |
| 收稿时间： | 2017/7/29 0:00:00 |
| 修稿时间： | 2017/10/23 0:00:00 |
Research on Mixed Big Data Analysis System of Forest Fire Based on Hadoop and Spark |
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| Zeng Zhiqiang,He Xiaodong,Wang Yin and Wu Xin.Research on Mixed Big Data Analysis System of Forest Fire Based on Hadoop and Spark[J].World Forestry Research,2018,31(2):55-59. |
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| Authors: | Zeng Zhiqiang He Xiaodong Wang Yin and Wu Xin |
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| Institution: | 1.Computer and the Information Engineering School, Central South University of Forestry and Technology, Changsha 410004, China2.School of Science, Central South University of Forestry and Technology, Changsha 410004, China |
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| Abstract: | Considering the challenges in the storage,computing and management of multi-source and dynamic data of massive,heterogeneous,multi-source and dynamic data used in current dynamic monitoring and early warning of forest fires and the problem that the related studies at home and abroad often put the focus on a single aspect or technical problems,the paper took the hybrid processing method for the multiple heterogeneous data of forest fire and constructed a mixed big data analysis system based on Hadoop and Spark big data integration platforms by combining with emerging big data analysis and processing technology and integrating different research results of dynamic monitoring and early warning of forest fires. A forest fire detection experiment was designed to verify the feasibility and validity of the system,so as to provide references for following research and establishment of visualized big data platform for forest fire monitoring and early warning. |
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| Keywords: | forest fire multi-source heterogeneous data mixed big data analysis dynamic monitoring and early warning visualization |
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