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.