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京沪高铁基础设施检测数据管理分析体系构建研究

Study on Establishment of Management and Analysis System for Infrastructure Inspection Data of Beijing-Shanghai HSR
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摘要 实现基础设施综合检测数据的自动归集传输、分布式存储、数据质量稽查和治理、智能挖掘分析和可视化数据服务,是提升京沪高铁检测分析能力的关键。通过研究检测数据资产化管理、检测数据流转过程与智能化分析等内容,构建了京沪高铁基础设施检测数据管理分析体系。体系集成综合检测数据车地快速传输、多源异构检测数据分布式存储、海量数据综合展示、基于人工智能的检测数据深度挖掘等关键技术,可为京沪高铁提供全链路、智能化、一站式检测数据管理分析服务。通过典型应用案例,验证了体系的合理性和先进性。 The realization of automatic collection and transmission,distributed storage,data quality inspection and governance,intelligent mining analysis and visualized data services for comprehensive infrastructure inspection data is the key to improving the inspection and analysis capability of Beijing-Shanghai HSR.A management and analysis system for infrastructure inspection data of Beijing-Shanghai HSR was established by studying the capitalization management,circulation process and intelligent analysis of inspection data.The system integrates key technologies such as rapid train-ground transmission of comprehensive inspection data,distributed storage of multi-source heterogeneous inspection data,comprehensive display of massive data and deep mining of inspection data based on artificial intelligence,and it can provide full-link,intelligent and one-stop inspection data management and analysis services for Beijing-Shanghai HSR.The rationality and advancement of the system were verified through typical application cases.
作者 陶凯 邵长虹 杨劲松 刘国跃 TAO Kai;SHAO Changhong;YANG Jinsong;LIU Guoyue(Infrastructure Inspection Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;Beijing-Shanghai High Speed Railway Co.,Ltd.,Beijing 100038,China;Beijing IMAP Technology Co.,Ltd.,Beijing 100081,China)
出处 《中国铁路》 北大核心 2024年第5期7-15,共9页 China Railway
基金 中国国家铁路集团有限公司科技研究开发计划项目(P2023S006)。
关键词 京沪高铁 铁路基础设施 检测监测 检测数据 人工智能 5G Beijing-Shanghai HSR railway infrastructure inspection and monitoring inspection data artificial intelligence 5G
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