刘帅,盛金保,王昭升,等. 基于模糊神经网络的水电施工安全隐患评价[J]. 水利水运工程学报,2020(1):105-111. doi: 10.12170/20181031004
引用本文: 刘帅,盛金保,王昭升,等. 基于模糊神经网络的水电施工安全隐患评价[J]. 水利水运工程学报,2020(1):105-111. doi: 10.12170/20181031004
(LIU Shuai, SHENG Jinbao, WANG Zhaosheng, et al. Evaluation method for hidden safety dangers of hydropower construction based on fuzzy neural network[J]. Hydro-Science and Engineering, 2020(1): 105-111. (in Chinese)). doi: 10.12170/20181031004
Citation: (LIU Shuai, SHENG Jinbao, WANG Zhaosheng, et al. Evaluation method for hidden safety dangers of hydropower construction based on fuzzy neural network[J]. Hydro-Science and Engineering, 2020(1): 105-111. (in Chinese)). doi: 10.12170/20181031004

基于模糊神经网络的水电施工安全隐患评价

Evaluation method for hidden safety dangers of hydropower construction based on fuzzy neural network

  • 摘要: 水电工程施工过程中存在的安全隐患多且动态变化,是造成水电工程事故多发的主要原因。为评价水电工程施工的安全隐患程度,基于模糊综合评价和BP神经网络建立了水电工程施工安全隐患评价模型,构建了一个具有多层次和多指标特性的水电工程施工安全隐患诊断指标体系,提出了重大、较大、一般、较小以及轻微的5个等级划分。结合实例,对某水电工程施工进行评价,确定其安全隐患等级,并对评价结果进行分析。结果表明:该水电站施工安全隐患等级为3级,符合其实际隐患排查情况。评价提出的模糊神经网络模型可操作性强,能有效分析水电工程施工安全隐患,对于水电工程施工过程的安全隐患排查具有一定参考意义。

     

    Abstract: There are many hidden safety dangers and dynamic changes in the construction process of hydropower projects, which is the main reason for the frequent accidents during the construction of hydropower projects. In order to evaluate the degree of the potential safety dangers in the period of construction, an evaluation model for the hidden safety dangers of the hydropower construction is established based on fuzzy comprehensive evaluation and BP neural network. A multi-level with multi-index system for the diagnosis of the hidden dangers during the construction is developed, and five levels, namely major, large, general, small and slight levels, are proposed. Using the example, the hydropower construction is evaluated, the safety hazard level is determined, and the evaluation results are analyzed. The evaluation results of the potential safety dangers show that the hidden safety danger level of the example station is the third level, which conforms to the actual situation of hidden danger investigation. The fuzzy neural network model proposed in this paper has strong operability and can effectively analyze the potential hidden safety dangers during the construction. It has a certain reference value for the investigation of the potential hidden safety dangers in the construction process of hydropower projects.

     

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