Hadoop在人员定位软件系统中的应用研究

基金项目:

国家科技支撑计划项目（2013BAK06B05）

中国煤炭科工集团有限公司面上项目(2016MS019)

详细信息

Research on application of Hadoop in personnel positioning software system

摘要: 针对现有人员定位系统难以满足大型煤矿大数据量访问需求的问题，提出将Hadoop应用于人员定位软件系统中，利用并行计算模型MapReduce和非关系型数据库HBase实现人员定位数据的并行化访问。Hadoop的应用显著提升了人员定位软件系统的数据处理性能、实时性和可扩展性。
- 人员定位 /
- Hadoop /
- 精确定位 /
- 对称双边双向算法 /
- MapReduce /
- HBase
Abstract: In order to solve the problem that existing personnel locating system can not meet large data access requirement of large-scale coal mines, Hadoop was proposed to be used in personnel positioning software system, and parallel computing model MapReduce and non-relational database HBase were used to realize parallel access of personnel positioning data. The application of Hadoop can significantly improve data processing performance, real-time performance and scalability of personnel positioning software system.
- personnel positioning /
- Hadoop /
- precise positioning /
- SDS-TWR /
- MapReduce /
- HBase