基于文献信息挖掘的基坑工程风险识别方法  

Risk Identification for Foundation Pit Engineering Based on Literature Information Mining

作　　者：郭飞 王文正 郭彩霞 王熠琛 孔恒 GUO Fei;WANG Wenzheng;GUO Caixia;WANG Yichen;KONG Heng(Beijing Municipal Construction Co,Ltd,Beijing 100048,China;Key Laboratory of Urban Security and Disaster Engineering,Beijing University of Technology,Beijing 100124,China;Agiletech Engineering Consultants Co,Ltd,Beijing 100037,China;Beijing Construction Engineering Group Co,Ltd,Beijing 100055,China)

机构地区：[1]北京市政建设集团有限责任公司,北京100048 [2]北京工业大学城市与工程安全减灾教育部重点实验室,北京100124 [3]北京安捷工程咨询有限公司,北京100037 [4]北京建工集团有限责任公司,北京100055

出　　处：《土木工程与管理学报》2024年第4期99-104,共6页Journal of Civil Engineering and Management

基　　金：国家自然科学基金(52278385);北京市教育委员会科技计划一般项目(KM202210005019)。

摘　　要：基坑工程风险识别旨在明确基坑事故风险事件与风险因素的比重大小,为风险管控开展提供科学依据。直接对比重大小进行统计分析需要整理大量的事故资料,不仅工作效率低,且要保证事故资料的数量与完整性。学者们对此进行过多次统计分析,并发表于科技文献中。有效挖掘相关文献的关键信息,二次利用其成果,是科学可行的思路。为此本研究引入文献信息挖掘的概念,搜集基坑事故统计分析的相关文献并提取风险事件与风险因素的关键信息。然后利用D-S证据理论进行多元信息融合,挖掘事件与因素比重大小的综合判定结果。新方法避免了对大量事故开展重复的统计分析,提升了工作效率;并且间接扩大了基坑事故统计分析的数量,提高了资料的完整性;分析结果可以作为基坑工程风险管控的重要依据。Risk identification of foundation pit engineering aims to analyze the proportions of the risk events and risk factors in foundation pit accidents as the basis of risk management and control.The normal statistical analysis depends on gathering numerous accident data decreasing the efficiency of risk identification significantly.The scientificity of risk identification is also affected by the integrity of accident data.The previous researchers have completed several statistical analyses presented in the scientific literature.Mining the information on the risk events and risk factors of foundation pit accidents and recycling the findings from the literature are scientific solutions.This study introduced the concept of literature information mining.The corresponding information was acquired from the gathered literature.The proportions of the risk events and risk factors were ascertained via the corresponding information fusion based on D-S evidence theory.The novel risk identification method avoided the repeated statistical analysis of numerous accident data so the efficiency was promoted.Moreover,the accident data indirectly amplified increased the integrity of the data.The risk identification can propose suggestions for the risk management and control of foundation pit projects.

关 键 词：基坑工程 风险识别 文献信息挖掘 D-S证据理论 

分 类 号：TU714[建筑科学—建筑技术科学]