摘要

隧道作为基础设施的典型代表，是城市正常运行不可缺少的载体，其安全高效的运行直接影响着城市的效率。然而，支撑隧道运维的各类数据来源多样、结构差异大，对隧道结构健康评估等任务提出了严峻挑战。针对这些挑战，本文提出了一种基于本体的多源异构运维数据集成框架，支持隧道结构健康评估，从而提高隧道维护决策效率。该框架由数据层、本体层、映射层和应用层四层组成，可实现多源异构隧道运维数据的统一建模、集成和综合应用。并将该框架应用于塘朗山隧道的实际工程中。与现有方法相比，该框架在数据融合精度、数据完整性和运营效率方面均有所提升。

As a typical representative of infrastructure, tunnels are indispensable carriers for the normal operation of cities, with their safe and efficient operation directly influencing urban efficiency. However, the various data supporting tunnel operation and maintenance (O&M) exhibit significant diverse sources and structural differences, which pose substantial challenges to tasks such as tunnel structural health assessment. To address these challenges, this paper proposes an ontology-based multi-source heterogeneous O&M data integration framework to support the assessment of tunnel structural health, thereby improving decision-making efficiency in tunnel maintenance. The framework consists of four layers: data layer, ontology layer, mapping layer, and application layer, enabling the unified modeling, integration, and comprehensive application of multi-source heterogeneous tunnel O&M data. Additionally, the proposed framework is applied to a practical engineering project, the Tanglang Mountain Tunnel. Compared with existing methods, the framework demonstrates improvements in data fusion accuracy, data completeness, and operational efficiency.

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This project is funded by the National Key Research and DevelopmentProgram of China under Grant 2022YFC3801100.

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