基于BP神经网络的苯储罐泄漏事故风险评价模型研究

为了在事故发生之前对苯储罐进行风险评价,提出1种基于BP神经网络的泄漏事故风险评价方法,利用该方法构建了苯储罐的风险评价模型,并对模型进行了训练及验证。研究结果表明:BP神经网络成功完成了建模任务,且模型训练结果较好,可利用基于BP神经网络所构建的苯泄漏事故风险评价模型对苯储罐发生泄漏事故的风险进行评价。

Research on risk assessment model for leakage accident of benzene tank based on BP neural network

In order to carry out the risk assessment of benzene tank before the occurrence of accident, a new method of risk assessment for the leakage accident based on BP neural network was proposed. A risk assessment model of benzene tank was constructed by using this method, and the model was trained and validated. The results showed that BP neural network successfully completed the task of modeling, and the training result of model was good. Therefore, the risk of leakage accident of the benzene tank can be assessed by using the risk assessment model of benzene leakage accident constructed by BP neural network.