Abstract: In order to improve the data processing efficiency of ground penetrating radar (GPR) for railway infrastructure detection, this article proposed an intelligent management analysis system for railway GPR detection data. According to the requirement of the railway infrastructure inspection project and the characteristics of ground penetrating radar data, the system requirement analysis and design were carried out. By optimizing data management, workflow processing, interactive interpretation, statistical analysis and other steps, the article overcame the shortcomings of current software, used Hadoop big data technology to process multi-channel ground penetrating radar data quickly, and implemented parallel computation of massive ground penetrating radar files. The data collected by the high-speed railway tunnel lining inspection vehicle were tested systematically. The test results show that the system can improve the management and processing efficiency of ground penetrating radar detection data, and promote the development of ground penetrating radar detection in railway infrastructure towards informatization, intelligence and standardization.