Research on application of Hadoop in personnel positioning software system

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.

Keywords

• personnel positioning
• hadoop
• precise positioning
• sds-twr
• mapreduce
• hbase