大型工程安全隐患管理协作特征挖掘

张东成, 强茂山, 江汉臣, 黄钰洁

清华大学学报（自然科学版） ›› 2022, Vol. 62 ›› Issue (2) : 208-214.

PDF(7860 KB)
横山亮次奖  |  百年刊庆  |  中文  |  English
PDF(7860 KB)
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

大型工程安全隐患管理协作特征挖掘

  • 张东成1, 强茂山1, 江汉臣2, 黄钰洁1
作者信息 +

Mining safety hazard management collaboration features from large construction projects

  • ZHANG Dongcheng1, QIANG Maoshan1, JIANG Hanchen2, HUANG Yujie1
Author information +
文章历史 +

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。

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.

关键词

大型工程建设 / 安全隐患 / 管理协作 / 特征挖掘

Key words

large construction projects / safety hazards / management collaboration / feature mining

引用本文

EndNote

Ris (Procite)

Bibtex

导出引用
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 https://doi.org/10.16511/j.cnki.qhdxxb.2021.22.045
ZHANG Dongcheng, QIANG Maoshan, JIANG Hanchen, HUANG Yujie. Mining safety hazard management collaboration features from large construction projects[J]. Journal of Tsinghua University(Science and Technology). 2022, 62(2): 208-214 https://doi.org/10.16511/j.cnki.qhdxxb.2021.22.045

参考文献

[1] ZHOU Z P, GOH Y M, LI Q M. Overview and analysis of safety management studies in the construction industry[J]. Safety Science, 2015, 72:337-350.
[2] LEUNG M Y, CHAN Y S, YUEN K W. Impacts of stressors and stress on the injury incidents of construction workers in Hong Kong[J]. Journal of Construction Engineering and Management, 2010, 136(10):1093-1103.
[3] ZHOU Q, FANG D P, MOHAMED S. Safety climate improvement:Case study in a Chinese construction company[J]. Journal of Construction Engineering and Management, 2011, 137(1):86-95.
[4] JIANG Z M, FANG D P, ZHANG M Z. Experiment-based simulations of construction worker safety behavior[J]. Journal of Tsinghua University (Science and Technology), 2014, 54(10):1327-1332. (in Chinese)蒋中铭, 方东平, 张铭宗. 基于实验设计的建筑工人安全相关行为仿真[J]. 清华大学学报(自然科学版), 2014, 54(10):1327-1332.
[5] XU S S, WANG X Q, XU Z C. Governance of core safety risks of urban underground engineering:The formation and evolution of multi-party collaborative strategies[J]. China Civil Engineering Journal, 2017, 50(9):90-103. (in Chinese)许树生, 王雪青, 徐志超. 城市地下工程核心安全风险治理:多方协同策略的形成与演化[J]. 土木工程学报, 2017, 50(9):90-103.
[6] TEIZER J, ALLREAD B S, FULLERTON C E, et al. Autonomous pro-active real-time construction worker and equipment operator proximity safety alert system[J]. Automation in Construction, 2010, 19(5):630-640.
[7] LEE H S, LEE K P, PARK M, et al. RFID-based real-time locating system for construction safety management[J]. Journal of Computing in Civil Engineering, 2012, 26(3):366-377.
[8] CARBONARI A, GIRETTI A, NATICCHIA B. A proactive system for real-time safety management in construction sites[J]. Automation in Construction, 2011, 20(6):686-698.
[9] ZHANG M Y, CAO T Z, ZHAO X F. Applying sensor-based technology to improve construction safety management[J]. Sensors, 2017, 17(8):1841.
[10] WU W W, YANG H J, CHEW D A S, et al. Towards an autonomous real-time tracking system of near-miss accidents on construction sites[J]. Automation in Construction, 2010, 19(2):134-141.
[11] PARK C S, KIM H J. A framework for construction safety management and visualization system[J]. Automation in Construction, 2013, 33:95-103.
[12] ZHANG S J, SULANKIVI K, KIVINIEMI M, et al. BIM-based fall hazard identification and prevention in construction safety planning[J]. Safety Science, 2015, 72:31-45.
[13] LEI Z, TANG W Z, DUFFIELD C F, et al. Qualitative analysis of the occupational health and safety performance of Chinese international construction projects[J]. Sustainability, 2018, 10(12):4344.
[14] GUO S Y, LUO H B, YONG L. A big data-based workers behavior observation in China metro construction[J]. Procedia Engineering, 2015, 123:190-197.
[15] LIN P, WEI P C, FAN Q X, et al. CNN model for mining safety hazard data from a construction site[J]. Journal of Tsinghua University (Science and Technology), 2019, 59(8):628-634. (in Chinese)林鹏, 魏鹏程, 樊启祥, 等. 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.
[16] LI X D, FEI Y F, RIZZUTO T E, et al. What are the occupational hazards of construction project managers:A data mining analysis in China[J]. Safety Science, 2021, 134:105088.
[17] AMIRI M, ARDESHIR A, FAZEL ZARANDI M H, et al. Pattern extraction for high-risk accidents in the construction industry:A data-mining approach[J]. International Journal of Injury Control and Safety Promotion, 2016, 23(3):264-276.
[18] SUN J. Jieba Chinese word segmentation tool[Z]. 2012.
[19] GUAN Q, DENG S H, WANG H. Chinese stopwords for text clustering:A comparative study[J]. Data Analysis and Knowledge Discovery, 2017, 1(3):72-80. (in Chinese)官琴, 邓三鸿, 王昊. 中文文本聚类常用停用词表对比研究[J]. 数据分析与知识发现, 2017, 1(3):72-80.
[20] ABDELHAMID T S, EVERETT J G. Identifying root causes of construction accidents[J]. Journal of Construction Engineering and Management, 2000, 126(1):52-60.
[21] PERLMAN A, SACKS R, BARAK R. Hazard recognition and risk perception in construction[J]. Safety Science, 2014, 64:22-31.
[22] BAI Y, JIA R X. Elite recruitment and political stability:The impact of the abolition of China's civil service exam[J]. Econometrica, 2016, 84(2):677-733.
[23] LI H, LU M J, HSU S C, et al. Proactive behavior-based safety management for construction safety improvement[J]. Safety Science, 2015, 75:107-117.

基金

国家自然科学基金资助项目（51779124）

PDF(7860 KB)

Accesses

Citation

Detail
段落导航
相关文章
扫码关注，本刊微信公众号
地址：清华大学东门外学研大厦B座908室　
邮编：100084
电话：010-62788108/62771385/62792976/62792994　
E-mail：xuebaost@tsinghua.edu.cn
访问统计
    总访问量
    今日访问
    在线人数
　
版权所有 © 《清华大学学报（自然科学版）》编辑部

/

〈 〉