中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (9): 134-139.doi: 10.16265/j.cnki.issn1003-3033.2017.09.023

• 安全工程技术科学 • 上一篇    下一篇

数据驱动的施工安全评价模型研究与应用

白晓平 副教授, 蒲涛   

  1. 西安建筑科技大学 管理学院,陕西 西安 710055
  • 收稿日期:2017-06-03 修回日期:2017-08-18 出版日期:2017-09-20
  • 作者简介:白晓平 (1970—),男,陕西武功人,硕士,副教授,主要从事项目决策分析、系统工程与计算机应用、工业工程与管理等方面的研究。E-mail:xxppbai@126.com。
  • 基金资助:
    陕西省自然科学基金资助(2016JM5088);陕西省教育厅专项基金资助(15JK1414)。

Research on data-driven model for evaluation of construction safety and its application

BAI Xiaoping, PU Tao   

  1. School of Management, Xi'an University of Architecture & Technology, Xi'an Shaanxi 710055, China
  • Received:2017-06-03 Revised:2017-08-18 Published:2017-09-20

摘要: 鉴于施工安全评价过程往往存在不可忽视的主观随意性,为科学合理地评价施工安全状况,首先通过文献梳理、现场调研和专家访谈,建立施工安全评价指标体系;然后用遗传算法(GA)和因子分析法,优化评价指标,并构建基于数据驱动的施工安全评价模型;再结合贝叶斯网络(BN),详细给出模型的定量评价程序;最后将模型应用于某施工项目的安全评价实例中。研究表明:用基于调研数据建立的评价模型,能够计算得出施工项目处于不同安全等级的概率,并根据分析结果找出施工安全管理的薄弱环节。

关键词: 施工安全, 评价模型, 遗传算法(GA), 因子分析, 贝叶斯网络(BN)

Abstract: In view of a significant element of subjectivity in the construction safety evaluation process, in order to scientifically and rationally evaluate the safety performance of construction the authors established an index system of construction safety based on the method of literature review, field investigation and expert interview. Then, they used the GA and the factor analysis method to optimize the evaluation indexes and establish a data-driven construction safety evaluation model. Furthermore, they proposed a BN-based quantitative evaluation process of this model. Finally, the model was applied to the safety evaluation of a construction project. The results showed that the data-driven construction safety evaluation model can be used to obtain the probabilities of the project at different safety levels and identify the weak links of the construction safety management so that to improve the level of the construction safety management.

Key words: construction safety, evaluation model, genetic algorithm(GA), factor analysis, Bayesian network(BN)

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