煤气与热力2025，Vol.45Issue(6)：9-15,7.
基于遗传算法的复杂管网泄漏故障诊断优化
Optimization of Complex Pipeline Network Leakage Fault Diagnosis Based on Genetic Algorithm
摘要
Abstract
The simulation model for hydraulic condition of pipeline networks was established.The complex pipeline network was split into single heat source branched pipeline networks,and the CUSUM algorithm was used to diagnose the leakage fault.The genetic al-gorithm was used to optimize the simulation model for the hydraulic condition of pipeline network,and the im-provement effect of the simulation model optimization on the accuracy of diagnostic results was evaluated.Splitting a complex pipeline network into single heat source branched pipeline networks can significantly improve the accuracy of diagnostic results.Compared with before optimization,the accuracy of diagnostic re-sults of the optimization model is improved.关键词
泄漏诊断/遗传算法/水力工况仿真/优化Key words
leakage diagnosis/genetic algorithm/hy-draulic condition simulation/optimization分类
土木建筑引用本文复制引用
周守军,张弛,李继超,田永生,刘祥瑞,李法昌..基于遗传算法的复杂管网泄漏故障诊断优化[J].煤气与热力,2025,45(6):9-15,7.基金项目
山东省重点研发计划"基于变点理论与红外成像技术的供热管网泄漏复合在线诊断及预警方法与系统开发"(2019GSF111037) （2019GSF111037）
山东省自然科学基金面上项目"基于深度学习的供热管网泄漏故障在线诊断研究"(ZR2020ME189) （ZR2020ME189）
