长输原油管道风险分析神经网络的应用

Application on the Neural Network Model for the Risk Analysis of Longdistance Petroleum Pipelines

在役原油管道安全程度的确定需要一种优化的方法并指导维护活动。根据秦京输油管道风险因素的实际情况,对管道各管段的风险分析和预测提出了一种基于BP算法的神经网络模型,并通过秦京输油管道的实例计算验证了该方法的实用性和可靠性。

The petroleum pipelines in use urgent need to be ascertained the degree of safety. And they need a kind of method to optimize and direct the maintenance. According to the actual risk factors of the Qinhuangdao-Beijing pipeline, the paper offers a neural network model to the risk analysis and the forecast of every segment of long-distance petroleum pipeline, based on BP algorithm. It proves the practicability and reliability of the method by calculating the Qinhuangdao-Beijing oil pipeline.