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运营公路隧道土建结构病害知识图谱及可视化研究

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为了降低运营期公路隧道养护过程中不同检测人员的主观性对检测结果的影响,基于既有隧道定检数据,采用大数据分析方法总结了隧道常见病害类型,建立了标准化病害库,并结合现场经验及病害处治方法,建立了完善的隧道土建结构病害知识图谱,实现了可视化表达.结果表明:建立的运营公路隧道土建结构病害知识图谱,实现了隧道工程部位-病害类型-病害成因-处治措施的链接过程,提高了隧道定期检测准确性及工作效率,为隧道养护决策提供有力的技术支撑.
Study on Disease Knowledge Atlas and Visualization of Civil Structure of Highway Tunnel During Operation
In order to solve the problems of insufficient professional knowledge and incomplete cognitive dimensions of inspection personnel during the maintenance process of highway tunnels during the operation period,based on a large amount of existing tunnel inspection data,big data analysis method was adopted to study the inherent relationship between tunnel diseases and geological conditions,construction quality,climate conditions and other factors.A comprehensive knowledge graph of tunnel civil engineering structure diseases was established and visualized expression was achieved.The established knowledge graph of civil engineering structural diseases in operating highway tunnels realizes the linking process of tunnel engineering parts,disease types,disease causes,and treatment decisions,which can improve the accuracy and efficiency of regular tunnel inspections and provide strong technical support for tunnel maintenance decisions.

highway tunnelcivil structurediseasemaintenance decisionsknowledge graph

郑克西、陈杭桥、张港

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广西新发展交通集团有限公司,南宁 530029

招商局重庆公路工程检测中心有限公司,重庆 400067

公路隧道 土建结构 病害 养护决策 知识图谱

2024

公路交通技术
重庆交通科研设计院

公路交通技术

影响因子:0.552
ISSN:1009-6477
年,卷(期):2024.40(6)