炼油生产调度研究现状与挑战  

State-of-arts and challenges on production scheduling of refinery

作　　者：陈远东 丁进良 CHEN Yuan-dong;DING Jin-liang(State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110004,China)

机构地区：[1]东北大学流程工业综合自动化国家重点实验室,沈阳110004

出　　处：《控制与决策》2022年第9期2177-2188,共12页Control and Decision

基　　金：国家重点研发计划项目(2018YFB1701104);国家自然科学基金项目(61988101);辽宁省兴辽计划项目(XLYC1808001);辽宁省科技项目(2020JH2/10500001,2020JH1/10100008.)。

摘　　要：调度作为计划层和执行层的纽带,是智能型工厂的主要组成部分.对此,从炼油生产装置调度的角度,对炼油调度问题进行综述与分析.首先对炼油生产调度建模问题的研究现状进行阐述,介绍目前该领域建模方面考虑的因素;其次,对炼油生产调度的各种优化方法进行总结综述;最后,结合目前的信息技术和智能制造的发展趋势,分析炼油生产调度所面临的挑战和未来的研究方向.As the link between the planning layer and the execution layer,scheduling is the main component of the"intelligent refinery".This article mainly summarizes and analyzes the refinery scheduling problem from the perspective of unit production scheduling.Firstly,the current research of the refinery production scheduling model is described,and some factors considered in the current scheduling models are introduced.Secondly,various optimization methods for refinery production scheduling are summarized.Finally,combined with the development trends of information technology and intelligent manufacturing,the challenges and future research directions of refinery production scheduling are analyzed.

关 键 词：炼油 调度 智能工厂 协同优化 可视化 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]