摘要

论文针对盾构隧道施工风险高且相关的知识共享、重用困难等现状，构建了本体知识库来解决上述问题。论文根据施工活动的WBS分解以及基于风险因素、前兆信息和事故三因素建立的风险前兆信息体系，构建了适用于盾构隧道施工的本体并进行了应用和验证，提出了集施工活动及风险信息表达、推理、查询于一体的方法，实现了施工知识的高效共享与重用。

The complexity and risk of tunnel construction always affect people, economy, and environment. But the management, sharing and reusing of risk knowledge of tunnel construction have always been inconvenient due to the weakness of traditional information management methods such as the relational database. However, currently, ontology has become an important method of knowledge representation, management, sharing and reusing, which enables efficient and semantic information retrieval and highly facilitates knowledge sharing and reusing, and it can be the solution for the above problems. At present, few studies focus on the use of ontology of tunnel construction, and the ontologies built by them still have some shortcomings. For example, the solutions for risk must be given by reasoning (e.g. SWRL), and the construction order and hierarchy cannot be expressed. In this paper, an ontology of shield tunnel construction is developed and then applied based on WBS and risk analysis of the shield tunnel construction, which eliminates the shortcomings mentioned above. Firstly, this paper makes WBS of shield tunnel construction. Secondly, the risk analysis of shield tunnel construction is developed after proposing the relationships between risk factors, risk precursor, and risk accidents and collecting relevant data of the above three risks. Then, the ontology of shield tunnel construction is developed by Protégé. Finally, the ontology is applied. This paper takes an actual shield tunnel subway construction project as an example, creates its related instances and uses SPARQL to query the risks and corresponding solutions in it. The results show that the risks and corresponding solutions can be correctly identified, which can provide a guidance for construction safety.

本论文同时获得IPC 2020会议的最佳论文奖（共3篇），详见会议官网。

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This research is supported by the National Key R&D Program of China (No. 2018YFD1100900), the Beijing Natural Science Foundation (No. 8194067), and the Tsinghua University-Glodon Joint Research Centre for Building Information Model (RCBIM). Dr. Jia-Rui Lin is also supported by the Young Elite Scientists Sponsorship Program by the China Association for Science and Technology (No. QNRC2016001).

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