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金属矿山 ›› 2013, Vol. 42 ›› Issue (12): 90-93.

• 机电与自动化 • 上一篇    下一篇

基于Hadoop云平台的矿井指纹定位算法研究

高广飞,姚军   

  1. 西安科技大学通信与信息工程学院
  • 出版日期:2013-12-16 发布日期:2014-02-11

Study of Underground Mines Fingerprint-based Localization Algorithms based on Hadoop Cloud Computing Platform

Gao Guangfei,Yao Jun   

  1. Communication and Information Engineering College,Xi'an University of Science and Technology
  • Online:2013-12-16 Published:2014-02-11

摘要: 针对矿井指纹匹配定位算法离线数据库大的特点,为了更加高效地处理离线数据库,获得更为精确的井下人员定位服务,提出了一种基于云计算服务模式,利用Hadoop技术架构在大数据处理上的优势,将定位匹配过程分散到分布式集群的各个节点上进行并行处理,设计出矿井人员定位方案,并论证了此方案的可靠性和高效性。

关键词: 云计算平台, 离线数据, 指纹匹配定位, Hadoop, 分布式

Abstract: According to the feature of a large offline database based on mine fingerprint matching location algorithm,in order to more efficiently handle the offline database to obtain more accurate underground personnel positioning services,a cloud-based service model was proposed.With the use of the advantage of Hadoop technology architecture in the large data processing,the match positioning process was decentralized to the various nodes of a distributed cluster to parallel processing.By this method,the program of mine personnel positioning was designed and the reliability and efficiency of this program was demonstrated.

Key words: Cloud computing platform, Off-line data, Fingerprint-based localization, Hadoop, Distributed