基于大数据的路基病害监测与治理研究  

Research on Monitoring and Treatment of Roadbed Diseases Based on Big Data

作　　者：李建兴 LI Jianxing(Xinjiang Production and Construction Corps Transportation Construction Co.,Ltd.,Urumqi,Xinjiang,830000,China)

机构地区：[1]新疆生产建设兵团交通建设有限公司,新疆乌鲁木齐830000

出　　处：《工程建设(维泽科技)》2025年第1期111-113,共3页Engineering Construction

摘　　要：随着交通基础设施的迅速发展,路基病害的监测与治理问题日益突出。路基病害的检测传统上多依赖人工巡视及有限的检测工具,往往难以迅速了解并处理路基潜在问题,因而引发维修成本上升及治理成效欠佳。基于大数据的路基病害监测与治理研究,通过整合多源数据、智能分析和预测技术,为路基病害的早期预警、精准定位及有效治理提供了新的思路和方法。文中着重研究大数据技术在路基病害检测领域的运用,整合了数据采集、储存、剖析及预测等环节,创新性地构建了一套高效且精准的路基病害检测与整治机制。路基病害的监测与治理,得益于大数据技术的应用,其效率与精度显著提升,同时维护成本亦有所降低,进而确保路基的安全与耐用性得到长期保障。创新方法助力路基病害的监测与治理,同时为构建未来智慧交通体系贡献了宝贵经验与参考。With the rapid development of transportation infrastructure,the monitoring and treatment of roadbed diseases have become increasingly prominent.Traditionally,the detection of roadbed diseases has relied heavily on manual inspections and limited detection tools,which often make it difficult to quickly understand and deal with potential problems in the roadbed,resulting in increased maintenance costs and poor treatment effectiveness.The research on roadbed disease monitoring and treatment based on big data provides new ideas and methods for early warning,accurate positioning,and effective treatment of roadbed diseases by integrating multi-source data,intelligent analysis,and prediction technology.The article focuses on the application of big data technology in the field of roadbed disease detection,integrating data collection,storage,analysis,and prediction,and innovatively constructing an efficient and accurate mechanism for roadbed disease detection and remediation.The monitoring and treatment of roadbed diseases,thanks to the application of big data technology,have significantly improved efficiency and accuracy,while reducing maintenance costs,whichensuring the long-term safety and durability of the roadbed.Innovative methods assist in the monitoring and treatment of roadbed diseases,while contributing valuable experience and reference to the construction of future smart transportation systems.

关 键 词：大数据 路基 病害 监测技术 治理策略 

分 类 号：TU712[建筑科学—建筑技术科学]