1. 铁路隧道钻爆法施工智能管理的安全质量进度 知识图谱构建方法.
- Author
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朱 庆, 王所智, 丁雨淋, 曾浩炜, 张利国, 郭永欣, 李函侃, 王万齐, 宋树宝, 郝 蕊, and 程智博
- Subjects
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RAILROAD design & construction , *CONSTRUCTION management , *TUNNEL design & construction , *KNOWLEDGE graphs , *TUNNELS , *DIGITAL twins - Abstract
Objectives: The complex and dangerous mountainous environment, uncertain geographical and geological conditions are the key factors affecting the safety, quality and schedule of railway tunnel construction. Methods: Orient to intelligent and precise construction management, this paper proposes a top-down and bottom-up combination of railway tunnel drill safety-quality-schedule knowledge graph construction method, clarifies the conceptual connotation and semantic relationship for the five key elements of man-machine-material-method-environment(4M1E) related to safety-quality-schedule during the construction of railway tunnels, and designs a two-way collaborative construction method of mode layer from top to bottom and data layer from bottom to top, then introduces key technologies such as data acquisition and knowledge extraction. Results: Taking the construction event of the Kangding No. 2 railway tunnel exit work area as an example, we construct a case knowledge graph. The results show that the knowledge graph constructed by the method in this paper finely depicts the key element attributes that affect safety‐quality‐schedule, the semantic relationship between the elements, and the mutual feedback relationship, etc. Conclusions: Our proposed method provides key support for the overall systemic intelligent management of safety-quality-schedule in the whole process of railway tunnel drilling and blasting construction, and also lays the foundation for the digital twin of railway tunnel engineering. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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