水電工程施工安全隱患評價方法及應用研究
[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.
【學位授予單位】:西華大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TV513
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