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基于高可用云计算的中国智慧林业大数据系统探究 被引量:23

Research on Big Data System of China's Intelligent Forestry Based on High Availability Cloud Computing
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摘要 国内外对于林业智慧化建设还处于摸索阶段,我国林业信息化经过多年的建设积累已初见成效。国家林业局于2013年提出了智慧林业发展指导意见,以推进信息技术与林业深度融合。林业各业务系统数据类型多样,具有多维度、多尺度、多时序、多元性等特点,对于林业大数据系统的分析探究暂处于概念阶段。文中介绍了高可用林业云计算平台和中国智慧林业,提出了基于高可用云计算的中国智慧林业大数据系统架构并概述了其特点,展望了中国林业大数据发展趋势,以期为林业工作者提供可靠的智能化科学决策服务系统,为林业宏观决策提供科学参考及林业信息服务提供支持,并为实现我国智慧林业蓝图打下坚实基础。 The study of intelligent forestry is still on the infant stage both at home and abroad. China has achieved the preliminary success in forestry informatization after years efforts. The State Forestry Administration put forward the guiding opinion on intelligent forestry in 2013, with the aim to promote deep integration of information technology and forestry. The various data types of forestry are multi - dimensional, multi - scaled, multi - time, diversity and other characteristics, and the analysis of forestry data system inquiry is temporarily in the conceptual stage. This paper introduced the high availability forestry cloud computing platform and China intelligent forestry, proposed the architecture of China' s big data system of intelligent forestry based on the high availability cloud computing and discussed its characteristics, and finally prospected the development trend of forestry big data in China. This study is expected to provide intelligent and reliable science decision service system for forestry workers, and provide scientific basis for macro forestry decision and provide supports to forestry information services, which would lay a solid foundation for realizing the intelligent forestry blueprint in China.
出处 《世界林业研究》 CSCD 北大核心 2017年第6期63-68,共6页 World Forestry Research
基金 黑龙江省自然科学基金支撑项目(C201347)
关键词 智慧林业 高可用云计算 大数据系统 中国 intelligent forestry, high availability cloud computing, big data system, China
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  • 1张劲松,齐怀琴,苗凤娟.3G视频在森林防火系统中的应用[J].福建林业科技,2013,40(3):74-77. 被引量:4
  • 2周立江,先开炳.德国林业体系及森林经营技术与管理[J].四川林业科技,2005,26(2):38-42. 被引量:20
  • 3李冰.日本林业的可持续经营与发展[J].国土绿化,2006(6):44-45. 被引量:8
  • 4云计算[EB/OL].http://en.wikipedia.org/wiki/Cloud_computing.
  • 5Leiss, William.自然的控制[M].重庆:重庆出版社,1993.
  • 6虚拟化云计算小组.虚拟化与云计算[M].北京:电子工业出版社.2009:16.
  • 7Hypergraph [ EB/OL ]. [ 2011 - 05 - 09 3. http://en. wikipedia. org/ wiki/Hypergraph.
  • 8Wei Fan, Kun Zhang, Hong Cheng, et al. Direct mining of discriminative and essential frequent patterns via model -based search tree[ C]. Conference on Knowledge Discovery and Data Mining 2008, Las Vegas, Nevada, USA, August,2008 : 24 - 27.
  • 9Harrison P G,Patel M. Performance modeling of communication networks and computer architectures[M]. USA: FAddison - Wesley, 1993.
  • 10Liugen Xue, Lixing Zhu.非参数和半参数模型中的经验似然[M].北京:科学出版社,2010:4.

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