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

发布时间：2018-06-21 04:02

本文选题：Labview + 蒸气动力系统　；参考：《华东理工大学学报(自然科学版)》2017年03期

【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。
[Abstract]:In view of the difficulty of real-time operation optimization caused by the change of supply and demand of steam power system in chemical plant during the operation of steam power system in an uncertain time in an uncertain combination form, it is difficult to optimize the operation in real time. A multi-objective nonlinear mixed integer rolling programming model (MO-MINLPU) is established. The data acquisition and processing module of LabVIEW software is used to realize the real-time data acquisition and processing of steam power system operation data. The interval length of rolling optimization period is divided according to the time of the beginning and ending of the uncertain event. The above method is used to simulate the steam power system data of a real chemical plant, and the results of multi-objective optimization decision are graphically displayed on the LabVIEW interface in real time. The simulation results show that this method can solve the problem of the connection between theory and industry, and has good application value.
【作者单位】：华东理工大学化工过程先进控制与优化技术教育部重点实验室;
【基金】：国家自然科学基金(61174040,61573144,61673175)
【分类号】：TQ018

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