2016, 8(2): 100-108. doi: 10.16670/j.cnki.cnll-5823/tu.2016.02.16
基于本体的隧道盾构过程中地表沉降的风险因素推理与应对
| 1. | 上海大学悉尼工商学院，上海 201800 |
| 2. | 上海大学上海城建集团建筑产业化研究中心，上海 200072 |
Ontology-based Analysis on the Early Warning of the Surface Subsidence in the Process of Tunnel Shield Project
| 1. | SILC Business School, Shanghai University, Shanghai 201800, China |
| 2. | Research Center for Building Industrialization, Shanghai University and Shanghai Urban Construction (Group) Corporation), Shanghai 201800. China |
引用本文:
杜娟, 何仁志, 戴灵钧. 基于本体的隧道盾构过程中地表沉降的风险因素推理与应对[J]. 土木建筑工程信息技术,
2016, 8(2): 100-108.
doi: 10.16670/j.cnki.cnll-5823/tu.2016.02.16
Citation:
Du Juan, He Renzhil, Dai Lingjunl. Ontology-based Analysis on the Early Warning of the Surface Subsidence in the Process of Tunnel Shield Project[J]. Journal of Information Technologyin Civil Engineering and Architecture,
2016, 8(2): 100-108.
doi: 10.16670/j.cnki.cnll-5823/tu.2016.02.16
摘要:建筑信息模型(BIM)为传统建筑业的信息化变革带来大量技术革新，可优化建筑过程并提升建筑效率与效益。在行业应用中，围绕建筑全生命周期不同阶段的异构软件间存在诸多异构信息系统与数据交互问题，本文通过分析目前建筑行业信息交互现状，提出基于本体的异构数据交互模式，并阐述IFC数据模型、异构数据库和本体模型间的映射方法及基于事件的本体推理模式。本文针对隧道盾构施工中的地表沉降，通过Protégé酌软件构建地下隧道施工本体，并利用Jena推理机分析地表沉降的关联风险因素，并通过异构数据互用与交互实现地表沉降应对方案的提供与更新。
Abstract: Building information model (BIM) brings the fundamental technological innovation to traditional architecture industry, which can optimize the construction process and improve the efficiency and effectiveness of the building process. Based on the information exchange of heterogeneous information systems and data throughout the different stages of the whole life cycle of the practical building project, the article analyzes the existing situation of building information interoperability, proposes the ontology—based heterogeneous exchange model, explores the method of mapping the IFC data and relationship database with ontology model, and puts forward the ontology—based reasoning model. The article takes the suIface subsidence in the tunnel shield construction as an example, creates the ontology model of underground tunnel through the Protégé software, and proposes the early warning analysis of groud subsidence reasons through Jena inference engine.
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