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清华大学学报(自然科学版)  2022, Vol. 62 Issue (2): 208-214    DOI: 10.16511/j.cnki.qhdxxb.2021.22.045
  专题:建设管理 本期目录 | 过刊浏览 | 高级检索 |
张东成1, 强茂山1, 江汉臣2, 黄钰洁1
1. 清华大学 水沙科学与水利水电工程国家重点实验室, 项目管理与建设技术研究所, 北京 100084;
2. 清华大学 公共管理学院, 北京 100084
Mining safety hazard management collaboration features from large construction projects
ZHANG Dongcheng1, QIANG Maoshan1, JIANG Hanchen2, HUANG Yujie1
1. Institute of Project Management and Construction Technology, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China;
2. School of Public Policy and Management, Tsinghua University, Beijing 100084, China
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摘要 大型工程建设的安全隐患管理对保障施工安全具有重要意义。该文基于某大型工程信息系统3年多记录的安全隐患管理协作数据,采用文本挖掘技术,包括自动分词、词性标注和词频-逆向文件频率(TF-IDF)算法等,提出一套隐患特征提取和分类方法,可用于隐患特征的动态分析,以实时掌握工程现场的安全隐患管理状态。基于该特征挖掘方法,分别进行了隐患特征与隐患类型、单位角色的交互分析,并进一步探索隐患特征对整改效率的影响。该研究为工程现场的安全隐患管理提供了方法的支撑,有助于抓住隐患管理重点,提升管理效率。
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关键词 大型工程建设安全隐患管理协作特征挖掘    
Abstract:Safety hazard management of large construction projects is essential to ensuring construction safety. This study used text mining of safety hazard management information for more than three years collected from a large construction project's information system with automatic word segmentation, part-of-speech tagging and term frequency (TF)-inverse document frequency (IDF) analyses to extract and classify hazard features. This methodology analyzes the safety hazard features to identify the safety hazard conditions on site in real time. The hazard features are further analyzed by different hazard types and different roles of the organizations. This study also investigates the impact of the hazard features on the management efficiency. This paper provides an effective on site safety hazard management method which can help managers focus on the key needs and improve construction efficiency.
Key wordslarge construction projects    safety hazards    management collaboration    feature mining
收稿日期: 2021-07-22      出版日期: 2022-01-22
通讯作者: 强茂山,教授,      E-mail:
作者简介: 张东成(1995-),男,博士研究生
张东成, 强茂山, 江汉臣, 黄钰洁. 大型工程安全隐患管理协作特征挖掘[J]. 清华大学学报(自然科学版), 2022, 62(2): 208-214.
ZHANG Dongcheng, QIANG Maoshan, JIANG Hanchen, HUANG Yujie. Mining safety hazard management collaboration features from large construction projects. Journal of Tsinghua University(Science and Technology), 2022, 62(2): 208-214.
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[1] 林鹏, 魏鹏程, 樊启祥, 陈闻起. 基于CNN模型的施工现场典型安全隐患数据学习[J]. 清华大学学报(自然科学版), 2019, 59(8): 628-634.
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