基于Labview的不确定环境下化工厂蒸汽动力系统多目标建模与实时操作优化

摘要

针对化工厂蒸汽动力系统运行时操作单元蒸汽供需在不确定的时间以不确定的组合形式变化而造成的难以进行实时操作优化的问题,建立了多目标非线性混合整数滚动规划模型(MO-MINLP),并提出以Labview软件为集成平台,利用其数据采集与处理模块实现对蒸汽动力系统操作运行数据的实时采集与处理;按照实时采集的描述不确定事件开始与结束的时刻划分滚动优化周期的时间间隔长度.利用上述方法对某真实化工厂的蒸汽动力系统的数据进行仿真,并实时将多目标优化决策结果以图形化的形式显示在Labview界面上.仿真结果表明,此方法很好地解决了理论与工业衔接的问题,具有良好的应用价值.%In order to overcome the shortcoming of uncertain steam supply and demand of units in the steam power system of chemical plants,this paper proposes a rolling optimization model (MO-MINLP) and develops a novelty.The data acquisition and processing module of integrated platform based on Labview is utilized to collect real-time operational data for the steam power system.The start and end time points of recording uncertain events are used to divide the time interval of every period.Simulation results from the steam power system show that the proposed Labview-based platform can perfectly deal with the integration of the theory and industrial applications and will have a wide application value in other similar systems.