文献类型：期刊文献

中文题名：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

英文题名：Labview-Based Uncertain Multi-objective Modeling and Real-Time Operational Optimization for Steam Power Systems of Chemical Plants

作者：石蓬军[1];曹萃文[1];顾幸生[1]

机构：[1]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,上海200237

年份：2017

卷号：43

期号：3

起止页码：375

中文期刊名：华东理工大学学报（自然科学版）

外文期刊名：Journal of East China University of Science and Technology

收录：北大核心:【北大核心2014】；CSCD:【CSCD_E2017_2018】；

基金：国家自然科学基金(61174040;61573144;61673175)

语种：中文

中文关键词：Labview;蒸气动力系统;不确定环境;实时操作优化;多目标MINLP

外文关键词：Labview; steam power sy s tem; uncertaint environment; real-time operational optimization; multi-objective MINLP

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.