中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (11): 91-96.doi: 10.16265/j.cnki.issn1003-3033.2017.11.016

• 安全工程技术科学 • 上一篇    下一篇

水电项目风险辨识体系及方法研究

龙爽1, 王永潭2 高级工程师, 孔繁臣2 高级工程师, 房国君2 高级工程师, 郎红军2 高级工程师, 王冬梅 高级工程师   

  1. 1 中国地质大学北京 工程技术学院,北京 100083
    2 国网新源丰满大坝重建工程建设局,吉林 吉林 132108
  • 收稿日期:2017-07-28 修回日期:2017-10-05 发布日期:2020-10-21
  • 作者简介:龙 爽 (1993—),女,黑龙江大庆人,硕士研究生,主要研究方向为风险评价、工业安全管理。E-mail:veronus_long@qq.com。

Study on risk identification system and method for hydropower project

LONG Shuang1, WANG Yongtan2, KONG Fanchen2, FANG Guojun2, LANG Hongjun2, WANG Dongmei2   

  1. 1 School of Engineering &Technology, China University of GeosciencesBeijing, Beijing 100083, China
    2 Fengman Construction Bureau, State Grid Corporation of China, Jilin Jilin 132000, China
  • Received:2017-07-28 Revised:2017-10-05 Published:2020-10-21

摘要: 为全面、系统地辨识和分析水电工程建设项目风险,避免辨识重复、交叉、遗漏等问题,基于霍尔三维结构,构建以风险辨识三维模型为基础的水电工程建设项目风险辨识体系。首先,将建设项目划分为若干个专业板块,以其为基础子系统;然后,依据“点-线-面-体”辨识模式,以作业环节为主线,针对设备设施、作业流程、人员岗位和环境氛围等4个管理对象,分别运用故障模式及影响分析法(FMEA)、工作危害分析法(JHA)、作业场所危险性分析法(LEC)和危险性预先分析法 (PHA)进行风险辨识;其次,构建动态的风险因子基础数据库;最后,以某水电站重建工程为例,进行实证分析。结果表明:运用该体系能全面辨识出水电工程建设项目中各类风险因素,指导企业的安全管理工作。

关键词: 水电工程建设, 霍尔三维结构, 风险辨识, “点-线-面-体”辨识模式, 数据库

Abstract: In order to identify and analyze the risks in hydropower project comprehensively and systematically, to avoid the problems of repetition, crossing and omission, a risk identification system was constructed based on HALL three dimensional model of risk identification. Before constructing the system, the construction project was divided into several professional sections, and then the risks were identified based on the professional sector subsystems. On the basis of point, line, surface, body, operation flow was taken as the main line. Scientific identification methods such as failure mode and effect analysis (FMEA), job hazard analysis (JHA), operation conditions risk analysis (LEC), preliminary hazard analysis (PHA) were applied to equipment facilities, operating processes, personnel positions and environmental atmosphere, four specific management objects, then, a dynamic risk factor database was formed. Finally, the reconstruction project of a hydropower station was taken as an example, to which this risk identification system was applied. The results show that the system can be used to identify risk factors in hydropower project comprehensively.

Key words: hydropower construction, HALL 3D structure, risk identification, "point-line-surface-body", identification mode, database

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