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铁路基础设施检测数据处理分析中心深化研究 被引量:14

Deep Research on Railway Infrastructure Inspection Data Processing and Analysis Center
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摘要 2012年创建的"铁路基础设施检测数据处理分析中心"为我国高速铁路建设和运营维护提供了有力的数据支持。随着高速铁路运营里程逐步增加和检测监测技术快速发展,铁路基础设施检测数据多源异构,且体量爆炸式增长,原数据中心的平台架构和数据分析能力在处理海量多源异构数据与高效智能处理等方面已无法满足高速铁路运维对检测数据综合化、智能化的管理分析需求。为此,有必要利用车地无线传输、移动终端应用等方式实现周期动态检测、现场人工检查、固定在线监测和养护维修作业等多源数据的接入与集成管理;采用虚拟化平台,整合服务器资源,实现IT资源的可弹性扩展和动态部署,提高数据存储能力和数据处理效率;采用面向服务(SOA)的架构设计思想研发集成处理分析平台,为生产和科研单位提供全面的数据智能处理,设备状态评价、分析和预测服务。同时,尝试使用MongoDB、Hadoop等新平台、新技术打造更加专业化、智能化的综合型数据处理分析中心。 The Railway Infrastructure Inspection Data Processing and Analysis Center established in 2012 has been providing powerful data support for China railway construction and operation. As the route length of high speed railway increases gradually and the inspection and monitoring technologies develop rapidly, the platform structure and data analysis ability of the existing data center can no longer meet the needs of comprehensive and intelligent management and analysis of inspection data during railway operation and maintenance due to the multi-source heterogeneous data and its explosively increasing magnitude. Therefore, it is necessary to use such approaches as onboard/trackside wireless transmission and mobile terminal application to achieve multi-source data access and integration management including cyclical dynamic inspection, onsite manual check, fixed online monitoring and maintenance, etc.; the virtualization platform should be used to integrate server resources to realized resilient expansion and dynamic deployment of IT resources and improve data storage ability and processing efficiency: integrated processing and analysis platlbrm based on SOA should be developed to provide services, such as intelligent data processing, evahiation, analysis and prediction of equipment status, and etc. to manufacturers and scientific research units. Meanwhile, MongoDB, Hadoop and other new platforms and technologies should be tried to build a comprehensive data processing and analysis center featuring high-level specialization and intelligence.
作者 陶凯 代春平 张煜 赵钢 张文轩 高利民 TAO Kai;DAI Chunping;ZHANG Yu;ZHAO Gang;ZHANG Wenxuan;GAO Limin(Infrastructure Inspection Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China;Beijing IMAPTechnology Co Ltd, Beijing 100081, China)
出处 《中国铁路》 2018年第6期85-92,共8页 China Railway
基金 科技部重大科学仪器设备开发项目(2016YFF0103705) 中国铁路总公司科技研究开发计划项目(2017X003)
关键词 铁路 基础设施 检测数据 处理分析 数据中心 railway infrastructure inspection data processing and analysis data center
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