炼油过程短期生产作业计划辅助决策系统的研究

【作者】 苏华；

【导师】 伍乃骐；

【作者基本信息】 广东工业大学 ， 机械电子工程， 2005， 硕士

【摘要】 炼油石化行业是流程工业的典型代表;它在国民经济中起着至关重要的作用。国内外许多专家学者对石化行业的炼油生产进行了深入的研究,取得了许多研究成果。然而以制造执行系统(MES)为核心的运行优化层的研究相对比较薄弱。炼化企业仍然依靠传统的经验方法和线性规划进行手工排产,这严重地障碍了炼化企业的信息化进程。因此,实现炼化企业动态排产的信息化,已经成为石化企业信息化的关键之一。 本文以一典型炼油石化企业的实际情况为研究背景,深入分析和研究石化企业的炼油生产过程特点与目前炼油短期生产作业计划研究的现状,针对石化企业的炼油生产过程中约束变量多,计算量大等特点,采用了以“仿真+启发式+优化”相结合的方法尝试解决炼油短期生产作业计划与调度的难题,并结合现代DSS的概念,设计了基于规则优化的炼油过程短期生产作业计划辅助决策系统。 论文详细地对系统进行了分析,给出系统的设计方法,阐述了系统完成编制炼油短期生产作业计划的工作流程;论文着重介绍了实现系统决策支持的两个关键模型:系统状态仿真模型与作业计划决策模型,给出其实现算法以及具体的算例;最后讨论了系统的主界面主要按钮的功能,并给出了系统主要的决策模块的一些运行实例。更多还原

【Abstract】 Oil refinery industry is one of the typical representatives of process industry and plays an essential role in national economy. One of the important issues for oil refinery is comprehensive automation. Researches on this topic have been conducted for the last several decades and a lot of results have been received. However, up to now, it lacks efficient techniques and tools for executive system (MES) at the optimize layer, one of the cores of comprehensive automation. While there are efficient tools for long run scheduling using linear programming, short-term scheduling is still done manually. This greatly obstructs the advance of informalization for oil refinery enterprises. Thus, it is significant to develop an efficient software tool to help planners for short-term scheduling.With a real oil refinery plant as a case, investigation for the characteristics of oil refining production process and the status of research and application in short-term scheduling has been done in detail. It is found that there are a lot of constraints and it involves very time consuming computation in short-term scheduling. Thus, we conclude that a "heuristic + simulation +optimization" may be the realizable way to develop such a software tool to overcome the difficulty faced. Based on this idea combined with DSS concept and some optimization rules, in this paper we develop a computer aided decision support system for short-term scheduling.In this thesis, we first present the requirement analysis for the system, the methodology in designing the system, as well as the workflow in the system in detail. Then, two key models used in the system are given: 1) the model for production state simulation; and 2) the decision aided model. Examples are provided to show the application of the models. Finally, we show how the system is implemented.更多还原