| 长输原油管道风险分析神经网络的应用 |
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| 引用本文： | 刘金兰,王亮.长输原油管道风险分析神经网络的应用[J].油气储运,2005,24(5):1-5. |
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| 作者姓名： | 刘金兰 王亮 |
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| 作者单位： | 天津大学管理学院 |
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| 摘 要： | 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.
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| 关 键 词： | 原油管道 安全 风险分析 神经网络 模型 应用 |
| 修稿时间： | 2004年7月21日 |
Application on the Neural Network Model for the Risk Analysis of Longdistance Petroleum Pipelines |
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| Liu Jinlan,WANG Liang.Application on the Neural Network Model for the Risk Analysis of Longdistance Petroleum Pipelines[J].Oil & Gas Storage and Transportation,2005,24(5):1-5. |
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| Authors: | Liu Jinlan WANG Liang |
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| Institution: | LIU Jinlan and WANG Liang |
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| Abstract: | 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. |
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| Keywords: | oil pipeline safety risk analysis neural network model pipeline station application |
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