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金属矿山 ›› 2023, Vol. 52 ›› Issue (09): 180-186.

• 机电与自动化 • 上一篇    下一篇

基于 BIM 与知识图谱的深基坑施工安全风险识别研究

胡园园1 刘俊生1 王行风2,3
  

  1. 1. 南京市测绘勘察研究院股份有限公司,江苏 南京 210019;2. 中国矿业大学与环境测绘学院,江苏 徐州 221116;3. 自然资源部国土环境与灾害监测重点实验室,江苏 徐州 221116
  • 出版日期:2023-09-15 发布日期:2023-11-03
  • 基金资助:
    国家自然科学基金项目(编号:41971370)。

Study on Safety Risk Identification of Deep Foundation Pit Based on BIM and Knowledge Graph

HU Yuanyuan1 LIU Junsheng1 WANG Xingfeng2,3 #br#   

  1. 1. Nanjing Institute of Surveying,Mapping & Geotechnical Investigation,Co. ,Ltd. ,Nanjing 210019,China; 2. School of Environment and Spatial Informatics,China University of Mining and Technology,Xuzhou 221116,China;3. MNR Key Laboratory of Land Environment and Disaster Monitoring,Xuzhou 221116,China
  • Online:2023-09-15 Published:2023-11-03

摘要: 随着城市地下空间开发应用规模的不断扩大,与地下空间工程建设、运营相关的安全风险管控工作越 来越受到政府以及有关部门的重视,深基坑安全风险识别的高效化、智能化日益成为行业的迫切需求。 针对深基坑 安全监管的现实需求,设计了一种融合建筑信息模型(Building Information Model,BIM)与知识图谱的深基坑施工安全 风险识别框架。 该框架基于深基坑施工安全风险识别和评估需求,关联、映射、抽取与施工标准、安全规范以及事故经 验总结等相关的知识构建深基坑安全风险识别知识图谱,重点分析了基于 BIM 模型的施工对象以及关联对象的知识 发现、知识提取和知识构建,以期充分挖掘不同类型的深基坑施工风险评估实体关系,从而辅助实现基坑施工安全风 险的智能识别。 实例验证表明:该方法可以提高专业人员的工作效率,在一定程度上能够解决安全识别过程中的经 验依赖和专家依赖等问题,可以为深基坑施工安全风险的快速、高效和准确识别提供一定的支持。

关键词: 深基坑, 知识图谱, 建筑信息模型, 风险识别, 安全监管

Abstract: With the continuous expansion of the development and application scale of urban underground space,the safety risk control related to the construction and operation management of underground space projects has attracted more and more attention from the government and relevant departments. The efficient and intelligent safety risk identification of deep foundation pit has increasingly become an urgent need for professionals. According to the practical needs of deep foundation pit safety supervision,this paper constructs the overall architecture of deep foundation pit intelligent supervision based on IOT,BIM and GIS technology. A deep foundation pit safety risk identification method integrating Building Information Model ( BIM) and knowledge map is designed. This method constructs the deep foundation pit safety risk identification knowledge graph based on the deep foundation pit construction requirements,safety specifications and accident experience summary,and focuses on the knowledge discovery,knowledge extraction and knowledge construction of construction objects and related objects based on BIM model,to fully and quickly mine the entity relationships of different types of deep foundation pit construction,So as to assist in the intelligent identification of the safety risk of deep foundation pit. The example verification shows that this method can greatly improve the work efficiency of professionals,solve the problems of manual dependence and professional dependence in the process of safety identification to a certain extent,and provide some support for the rapid,efficient and accurate identification of deep foundation pit safety risks.

Key words: deep foundation pit,knowledge graph,Building Information Model (BIM),risk identification,safety supervision