摘要
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。
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.
作者
郑克西
陈杭桥
张港
ZHENG Kexi;CHEN Hangqiao;ZHANG Gang(Guangxi Xinfazhan Communications Group Co.,Ltd.,Nanning 530029,China;China Merchants Chongqing Highway Engineering Testing Center Co.,Ltd.,Chongqing 400067,China)
出处
《公路交通技术》
2024年第6期140-147,156,共9页
Technology of Highway and Transport
关键词
公路隧道
土建结构
病害
养护决策
知识图谱
highway tunnel
civil structure
disease
maintenance decisions
knowledge graph
