交通基础设施建模:本体论方法

K. Tkachenko, O. Tkachenko, O. Tkachenko
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引用次数: 0

摘要

本文论述了目前交通基础设施中建筑物和构筑物设计、施工和运行过程的本体建模问题。这种建模涉及使用欧洲采用的标准和分类器,并在BIM(建筑信息建模)和EULYNX(欧洲铁路技术联盟)中进行协调。提出了交通基础设施的多层次本体模型。该模型有助于形成对学科领域本质的理解,即交通基础设施领域(交通维修企业、交通设施(桥梁、隧道、轨道)、交通仓库、车站等)。所提出的模型有助于以方便在智能系统中处理的形式表示知识,确保交通基础设施过程的智能化和数字化。提出的本体论方法保证了知识和现有本体论的多重使用,允许使用现代技术(特别是语义技术),当主题领域的对象对应于它们在多层次本体论模型中的反映时。交通基础设施建模的本体论方法使这些对象和相应过程在系统中实现自动管理成为可能,从而确保交通和交通基础设施的智能化和数字化。已开发的多层本体模型计划补充新的组件,并施加适当的限制。
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Modeling of transport infrastructure: ontological approach
The article deals with current problems of ontological modeling of processes of design, construction and operation of buildings and structures in transport infrastructure. Such modeling involves use of standards and classifiers adopted in Europe and harmonized within BIM (Building Information Modeling) and EULYNX (European railway technology alliance). Multi-level ontological model of transport infrastructure is proposed. This model contributes to formation of understanding of essence of subject area, which is the field of transport infrastructure (transport repair enterprises, transport facilities (bridges, tunnels, tracks), transport depots, stations, etc.). Proposed model contributes to presentation of knowledge in form that is convenient for their processing in intelligent systems, ensuring intellectualization and digitization of processes in transport infrastructure. Proposed ontological approach ensures multiple use of knowledge and existing ontologies, allows the use of modern technologies (in particular, semantic ones), when objects of subject area correspond to their reflections in multi-level ontological model. Ontological approach to modeling of transport infrastructure makes it possible to move to automatic management of these objects and corresponding processes in systems that ensure intellectualization and digitalization of transport and transport infrastructure. Developed multi-level ontological model is planned to be supplemented with new components, imposing appropriate restrictions.
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来源期刊
自引率
0.00%
发文量
28
审稿时长
27 weeks
期刊最新文献
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