中国安全科学学报 ›› 2023, Vol. 33 ›› Issue (8): 30-38.doi: 10.16265/j.cnki.issn1003-3033.2023.08.1447

• 安全社会科学与安全管理 • 上一篇    下一篇

高海拔铁路工程施工人员不安全行为评估

莫俊文(), 王锐锐, 滕仓国   

  1. 兰州交通大学 土木工程学院,甘肃 兰州 730070
  • 收稿日期:2023-03-14 修回日期:2023-06-08 出版日期:2023-10-08
  • 作者简介:

    莫俊文 (1977—),男,甘肃陇西人,博士,教授,主要从事铁路工程施工安全与职业健康管理、建设法规与工程合同管理等方面的研究。E-mail:

  • 基金资助:
    国家自然科学基金资助(72261026)

Assessment of unsafe behavior of construction personnel in high-altitude railway projects

MO Junwen(), WANG Ruirui, TENG Cangguo   

  1. School of Civil Engineering, Lanzhou Jiaotong University, Lanzhou Gansu 730070, China
  • Received:2023-03-14 Revised:2023-06-08 Published:2023-10-08

摘要:

为提高高海拔铁路工程施工人员不安全行为评估的稳定性和精确性,从安全生理、安全心理、安全管理、安全环境、安全能力5个方面,编制高海拔铁路施工人员不安全行为心理测量量表,并针对西成铁路甘青隧道项目施工人员进行实测;利用粗糙集理论对量表测量结果进行属性约简、数据挖掘和重要度计算;构建施工人员不安全行为水平评估体系,利用软件Matlab正向云发生器绘制不安全行为水平综合评价云图,直观表达评估结果。结果表明:利用该评估体系获得的不安全行为评估结果与现场实际一致,该评估体系能够实时监控高海拔地区施工人员的不安全行为,有利于提高施工人员的安全行为水平。

关键词: 高海拔铁路工程, 施工人员, 不安全行为, 粗糙集理论, 云模型, 熵权法(EWM)

Abstract:

In order to improve the stability and accuracy of the assessment of unsafe behavior of high-altitude railway construction personnel, a psychological measurement scale of unsafe behavior of high-altitude railway construction personnel was compiled from five aspects: safety physiology, safety psychology, safety management, safety environment and safety ability. It was measured for the construction personnel of the Ganqing Tunnel Project of Xicheng Railway. The rough set theory was used to reduce attributes, data mining and calculate the importance of the results. The evaluation system of unsafe behavior level of construction personnel was constructed, and the software Matlab forward cloud generator was used to draw a comprehensive evaluation cloud map of unsafe behavior level to visually express the evaluation results. The results show that the unsafe behavior assessment results obtained by the evaluation system are consistent with the actual situation on site, and the evaluation system can monitor the unsafe behavior of construction personnel at high-altitude areas in real time, which is beneficial to improving the safety behavior level of construction personnel.

Key words: high-altitude railway project, construction personnel, unsafe behavior, rough set theory, cloud model, entropy weight method(EWM)