供水管网故障预测的机器学习方法OACSTPCD
Machine Learning Methods to Predict Failures in Water Distribution Network
近年来我国各地供水管网运行安全问题频发,造成了巨大的经济损失与严重的社会影响.因此,准确地预测管道故障,精准地维护管道,经济高效地保障供水管网的运行安全具有十分重要的意义.然而,目前关于前沿算法在管道故障预测方面的应用有待探索,并且关于系统性比较机器学习算法的研究尚不多见.为此,首先明确了供水管网故障预测问题,介绍了逻辑回归、随机森林、人工神经网络和一维卷积神经网络四种机器学习算法的基本原理.以我国南方某市工业园区供水管网为例,检验比较了四种模型…查看全部>>
In recent years,failures have occurred frequently to water distribution networks throughout China,resulting in huge economic losses and serious social impacts.However,the application of state-of-art algorithms to predict pipe failures is still to be explored and there is little research on systematic comparison of machine learning algorithms.Therefore,it is of great importance to accurately predict pipeline failures and ensure the operational safety of water…查看全部>>
刘威;谢志印
同济大学建筑工程系,上海 200092同济大学建筑工程系,上海 200092
供水管网故障预测机器学习管道特征影响
water pipesfailure predictionmachine learningimpact of pipe feature
《结构工程师》 2024 (4)
39-47,9
"十四五"国家重点研发计划(2022YFC3801000)上海市2022年度"科技创新行动计划"社会发展科技攻关项目(22dz1201201)
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