水电工程施工安全隐患评价方法及应用研究

发布时间：2018-12-21 14:44

【摘要】：随着经济的高速发展,我国水电行业得到了大力的开发,在开发的同时安全事故频发,造成了巨大的财产损失与人员伤亡。由于水电工程施工复杂,涉及面广,不安全因素较多,容易导致事故发生。因此为了使得水电工程施工安全进行,做好施工安全隐患评价是一种有效的办法。企业通过安全评价可以合理分析出施工过程中的隐患现状,进而做好相应隐患的排查与整改,保证了施工安全进行。本文通过研究国内外安全评价方法的现状,根据我国相关法律法规以及水电工程施工的特点,再结合专家意见,构建了一套水电工程施工安全隐患评价指标体系。而目前,采用模糊综合评价和人工神经网络对工程安全隐患问题的研究也逐渐增多。人工神经网络具有很强的容错性以及联想能力,能够很好地反映出外界输入信息的本质特征,但是它不具有处理模糊信息的能力,不能有效的利用专家经验知识。水电工程施工的安全因素有许多的不确定性,具有很强的模糊性,这就导致了人工神经网络运用的局限。模糊综合评价法能很好地处理模糊信息并利用专家知识经验,但是其运算速度慢、精度低,因此结合两种评价方法能充分发挥两者的优势。本文以水电工程施工安全隐患为研究对象,采用模糊综合评价与BP神经网络相结合的方法,基于MATLAB神经网络工具箱建立了基于模糊综合评价和BP神经网络的模糊神经网络评价模型。利用建立好的模糊神经网络模型对实际工程进行安全隐患评价,运用模糊综合评价法对其结果进行验证,并将得到的评价结果与实际隐患排查情况对比分析,证实了方法的实际意义。本文提出的模糊神经网络模型是对水电工程施工安全隐患进行评价的一种新方法,对于水电工程施工过程的安全隐患排查具有一定的参考意义。
[Abstract]:With the rapid development of economy, the hydropower industry in our country has been vigorously developed, and the frequent safety accidents have caused huge property losses and casualties. Due to the complex construction of hydropower projects, involving a wide range of unsafe factors, easily lead to accidents. Therefore, in order to make the construction safety of hydropower project, it is an effective method to evaluate the hidden dangers of construction safety. The present situation of hidden dangers in construction process can be reasonably analyzed through safety evaluation, and the corresponding hidden dangers can be checked and rectified to ensure the safety of construction. By studying the present situation of safety evaluation methods at home and abroad, according to the relevant laws and regulations of our country and the characteristics of hydropower project construction, and combining with expert opinion, this paper constructs a set of evaluation index system of safety hidden danger in hydropower project construction. At present, fuzzy comprehensive evaluation and artificial neural network are used to study the hidden dangers of engineering safety. Artificial neural network has strong fault tolerance and association ability, which can well reflect the essential characteristics of external input information, but it does not have the ability to deal with fuzzy information, and can not effectively use expert experience knowledge. There are many uncertainties and strong fuzziness in the construction of hydropower engineering, which leads to the limitation of artificial neural network. Fuzzy comprehensive evaluation method can deal with fuzzy information well and make use of expert knowledge experience, but its operation speed is slow and its precision is low. Therefore, the two evaluation methods can give full play to their advantages. This paper takes the hidden trouble of hydropower construction as the research object, and adopts the method of combining fuzzy comprehensive evaluation with BP neural network. A fuzzy neural network evaluation model based on fuzzy comprehensive evaluation and BP neural network is established based on MATLAB neural network toolbox. The fuzzy neural network model is used to evaluate the hidden dangers of practical projects, the fuzzy comprehensive evaluation method is used to verify the results, and the results are compared with the actual hidden dangers. The practical significance of the method is proved. The fuzzy neural network model proposed in this paper is a new method to evaluate the hidden dangers of construction of hydropower projects, which has a certain reference significance for the investigation of hidden dangers in the construction process of hydropower projects.
【学位授予单位】：西华大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TV513

【参考文献】