| 基于BP神经网络的城市燃气管网泄漏定位 |
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| 引用本文： | 黄凤洁,田贯三,贾文磊,王明. 基于BP神经网络的城市燃气管网泄漏定位[J]. 山东建筑工程学院学报, 2011, 0(5): 436-439,475 |
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| 作者姓名： | 黄凤洁 田贯三 贾文磊 王明 |
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| 作者单位： | [1]山东建筑大学热能工程学院,山东济南250101 [2]山东建筑大学可再生能源建筑利用技术省部共建教育部重点实验室,山东济南250101 [3]山东建筑大学山东省建筑节能技术重点实验室,山东济南250101 |
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| 摘 要： | 运用BP神经网络的模式识别功能，对城市燃气管网泄漏进行定位，并应用MATLAB语言编写了泄漏定位的计算机程序。以某城市燃气管网泄漏为例，采用水力计算软件模拟泄漏工况，将泄漏数据代入程序进行泄漏定位，结果验证了BP神经网络应用于城市燃气管网泄漏定位的可行性。
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| 关 键 词： | BP神经网络 泄漏定位 模式识别 城市燃气管网 |
Research on the leak location of urban gas pipe network based on BP network |
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| Affiliation: | HUANG Feng-jie1 , TIAN Guan-san1,2,3, JIA Wen-lei1, et al. ( 1. School of Thermal Energy Engineering, Shandong Jianzhu University, Jinan 250101, China ;2. Key Laboratory of Renewable Energy Utilization Technologies in Buildings of National Education Ministry, Shandong Jianzhu University, Jinan 250101, China ;3. Shandong Key Laboratory of Building Energy-Saving Technologies, Shandong Jianzhu University, Jinan 250101, China) |
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| Abstract: | The pattern recognition of BP network is used for the leak location of urban gas pipe network and a program is designed for pipeline＇ s leak location by MATLAB. By taking the leak location of a city＇ s gas pipe network for example, the leak conditions are simulated by a hydraulic calculation software and the leakage data are put into program. The validity of BP network in the leak location of urban gas pipe network is verified by the results at last. |
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| Keywords: | BP network leak location pattern recognition urban gas pipe network |
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