基于eM-Plant的加热炉群调度的仿真与优化  

Research on reheating furnaces scheduling simulation and optimization based on eM-Plant

作　　者：单多[1] 徐安军[1] 汪红兵[2] 贺东风[1] 田乃媛[1] 

机构地区：[1]北京科技大学高效钢铁冶金国家重点实验室,北京100083 [2]北京科技大学

出　　处：《冶金自动化》2013年第2期9-14,共6页Metallurgical Industry Automation

基　　金：中央高校基本科研业务费资助项目(FRF-TP-12-086A)

摘　　要：分析连铸-热轧区段中加热炉群调度问题特点后,在建立最小化板坯炉内停留时间的加热炉群调度数学模型的基础上,采用面向对象的仿真软件eM-Plant建立了问题的仿真模型,将连铸机、板坯库、加热炉、热轧机等实体类对象按照实际的运行逻辑有机地结合起来,通过信息类对象实现生产过程中的数据存储,通过控制类对象实现板坯入炉、出炉以及其他运行控制。基于eM-Plant内置遗传算法优化模块对建立的模型进行优化求解,并采用某钢厂实际生产数据进行仿真运行,结果表明该仿真和优化方法是有效可行的。The features of reheating el of reheating furnaces scheduling furnaces scheduling problem are analyzed. The mathematical mod- to minimize retention time of slabs in furnaces is constructed. The simulation model of reheating furnaces based on eM-Plant is established, according to logical order set- ting caster,slab yard, reheating furnaces and hot roiling. In the model, information object is used to store production data, and controlling object is used to accomplish slab going into or going out of fur- naces. The model is solved and optimized using the algorithm based on eM-Plant＇ s internal GA mod- ule. The data used to simulate are generated by practical production of a steel plant, and the results show that the simulation optimization method is effective and feasible.

关 键 词：加热炉群 遗传算法 调度 仿真 炉内停留时间 

分 类 号：TG307[金属学及工艺—金属压力加工] TP13[自动化与计算机技术—控制理论与控制工程]