中国铁道科学2017，Vol.38Issue(2)：11-18,8.DOI:10.3969/j.issn.1001-4632.2017.02.03
铁路路基状态检测中探地雷达数据并行处理
Research on Parallel Processing Method for Ground Penetrating Radar Data in State Detection of Railway Subgrade
摘要
Abstract
In order to improve the processing speed of large amount of ground penetrating radar (GPR)data produced by railway subgrade state detection,shorten the generation cycle of test report,parallel computing technology was introduced to design and construct the parallel processing platform for GPR data analysis.Computer cluster was used to process and analyze GPR data.Dynamic load balance algorithm based on server computing ability was proposed to schedule and distribute the GPR process task submitted by users.Experiments were carried through on the constructed parallel processing platform with the actual GPR data of railway subgrade condition detection.The accuracy,time consumption,parallel speedup and system scalability of the GPR data parallel processing platform were analyzed.Results show that the GPR data processing efficiency of 8-node cluster parallel processing platform is increased by 553％ compared with the single version software.The processing time is reduced by more than 50％ compared with the GPR data processing method based on Hadoop.关键词
铁路路基/状态检测/探地雷达/数据处理/负载均衡/并行计算技术/计算机集群处理Key words
Railway subgrade/State detection/Ground penetrating radar/Data processing/Load balance/Parallel computing technology/Computer cluster processing分类
交通工程引用本文复制引用
梁胤程,杜翠,刘杰,杨超宇,杨峰..铁路路基状态检测中探地雷达数据并行处理[J].中国铁道科学,2017,38(2):11-18,8.基金项目
国家重大科学仪器设备开发专项(2012YQ030126) （2012YQ030126）
核三废专项科研课题(环FZ1402-3) （环FZ1402-3）
中国铁道科学研究院行业服务技术创新项目(2015YJ036) （2015YJ036）
安徽省重大教学改革研究项目(2015zdjy074) （2015zdjy074）
