| 基于Hadoop云平台的矿井指纹定位算法研究 |
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| 引用本文： | 高广飞,姚军. 基于Hadoop云平台的矿井指纹定位算法研究[J]. 金属矿山, 2013, 42(12): 90-93 |
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| 作者姓名： | 高广飞 姚军 |
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| 作者单位： | 西安科技大学通信与信息工程学院 |
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| 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。
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| 关 键 词： | 云计算平台 离线数据 指纹匹配定位 Hadoop 分布式 |
Study of Underground Mines Fingerprint-based Localization Algorithms based on Hadoop Cloud Computing Platform |
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| Gao Guangfei,Yao Jun. Study of Underground Mines Fingerprint-based Localization Algorithms based on Hadoop Cloud Computing Platform[J]. Metal Mine, 2013, 42(12): 90-93 |
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| Authors: | Gao Guangfei Yao Jun |
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| Affiliation: | Communication and Information Engineering College，Xi'an University of Science and Technology |
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| 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. |
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| Keywords: | Cloud computing platform Off-line data Fingerprint-based localization Hadoop Distributed |
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