PSO-RVM算法在地铁车站温控系统中的应用  

Application of PSO-RVM Algorithm in Metro Station Temperature Control System

作　　者：钱飞 QIAN Fei(Nari Group Corporation,210003,Nanjing,China)

机构地区：[1]南瑞集团有限公司,南京210003 [2]国电南瑞科技股份有限公司,南京210061

出　　处：《城市轨道交通研究》2020年第12期66-69,共4页Urban Mass Transit

摘　　要：鉴于地铁车站温度变化具有非线性、滞后性、时变性等特点,运用粒子群算法-关联向量机(PSO⁃RVM)算法建立地铁车站大系统温度控制模型。计算结果表明:相比于PSO⁃SVM算法,基于laplace核、r核、gauss核的PSO⁃RVM算法较适用于建立地铁车站大系统温度控制模型;此外,该算法也可进一步应用在地铁车站综合监控系统中。Given that the metro station temperature change has nonlinear,time-varying,stochastic and other characteristics,PSO-RVM algorithm is adopted to establish metro station temperature control system model.Calculation results show that,compared to PSO-SVM algorithm,PSORVM algorithms based on laplace kernel,r kernel,gauss kernel are more suitable for establishing metro temperature control system model and can be further applied in metro station integrated supervisory control system.

关 键 词：地铁车站 温度控制模型 粒子群算法 关联向量机 支持向量机 

分 类 号：U231.05[交通运输工程—道路与铁道工程]