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连铸-热轧界面衔接优化模型及系统开发

Optimization Model and System Development of Continuous Casting-Hot Rolling Interface Connection

【作者】 王成

【导师】 郑忠;

【作者基本信息】 重庆大学 , 工程(冶金工程)(专业学位), 2022, 硕士

【摘要】 连铸-热轧界面是钢铁生产流程的重要组成部分,对于板坯的高效衔接、降低加热过程能耗、缩短生产周期、提升产品质量有重要意义。随着连铸-热轧界面平面布局的紧凑设计,动态有序、协同连续的生产运行控制要求,对铸坯的界面运行管控要求也日趋严格。本文以连铸-热轧界面为研究对象,围绕提高热送热装率、降低加热炉能耗、提高加热炉生产效率等目标,将连铸-热轧界面衔接优化问题分解为铸坯去向决策以及加热炉调度两个子问题,对其建模以及求解方法进行研究,主要结果如下:铸坯去向决策问题是为了提高热送热装率,合理安排实物铸坯的去向(加热炉、保温坑、板坯库),使得尽可能多的能以直装和热装方式与虚拟板坯匹配的实物铸坯去往加热炉和保温坑。本文以最大化热轧单元计划的直装数、热装数为目标,建立了铸坯去向决策的整数非线性规划模型,采用整数编码记录去向计划,通过虚拟板坯与实物铸坯的匹配进行解码以确定热送热装率。设计了利用禁忌搜索的局部寻优能力提高和声搜索收敛速度的改进和声搜索算法(Improved Harmony Search,IHS),利用某钢铁企业的实际数据进行实验,结果证明铸坯去向决策模型可以使直装率提高9.49%,热装率提高3.58%。加热炉调度问题是在满足铸坯最小加热时间要求的基础上对加热炉的分配以及铸坯的装炉、出炉时间进行决策以降低加热燃耗和提高生产效率。本文根据加热炉-热轧机组区段生产运行特征,抽象出热轧机组、加热炉、铸坯等实体并分析了各自的状态更新规则,建立了加热炉调度离散事件仿真流程,设计了不同温度结构的热轧单元计划进行实验,结果得到了混装炉制度与专用炉制度的加热时间、完工时间与热轧单元计划温度结构关联关系,并且证明在热轧单元计划的热装比例较高且冷热交叉上料次数较大时,利用专用炉制进行加热炉分配,其完工时间相比混装炉制可降低10.43%,额外加热时间可降低66.32%。根据上述模型及求解方法,开发了基于B/S架构的连铸-热轧界面衔接优化模型系统。经过系统设计,确定了界面流程配置、铸坯去向决策、加热炉调度等页面,并利用Visual Studio等工具完成系统的前后端开发。通过功能测试证明该系统具有良好的人机交互界面,可以完成对输入数据进行选取和展示,对算法参数和仿真条件进行配置,对计算结果进行图表展示等。综上所述,本文针对连铸-热轧界面衔接优化问题,建立了铸坯去向决策数学模型和加热炉调度仿真模型,并以此为基础开发了连铸-热轧界面衔接优化模型系统。通过数据实验证明所提出的模型可以达到提高热送热装率、降低加热炉能耗以及提高加热炉生产效率的目的,所建立的系统可以为连铸-热轧界面衔接优化提供有效的求解工具。

【Abstract】 Continuous casting-hot rolling interface is an important part of iron and steel production process.It is of great significance for efficient connection of slabs,reducing energy consumption in reheating process,shortening production cycle and improving product quality.With the compact design of the plane layout of the continuous casting-hot rolling interface and the dynamic,orderly,coordinated and continuous production operation control requirements,the requirements for the control of the slab interface operation are becoming increasingly strict.In this paper,the continuous casting-hot rolling interface is taken as the research object,and the optimization problem of continuous casting-hot rolling interface is divided into two sub problems:slab destination decision-making problem and reheating furnace scheduling problem,the modeling and solution methods are studied.The main results are as follows:Slab destination decision-making problem is to improve the hot delivery and hot charging rate,reasonably arrange the destination of physical slabs(reheating furnace,heat preservation pit and slab yard),so that as many physical slabs that can match the virtual slabs by direct hot charging and hot charging can go to reheating furnace and heat preservation pit.In this paper,aiming at maximizing the number of direct hot charging and hot charging in the hot rolling unit plan,an integer nonlinear programming model for slab destination decision-making is established.The destination plan is recorded by integer coding,and the hot delivery and hot charging rate is determined by decoding the match between the virtual slab and the physical slab.An improved harmony search(IHS)algorithm is designed to improve the convergence speed of harmony search by using the local optimization ability of tabu search.The experiment is carried out with the actual data of an iron and steel enterprise.The results show that the slab destination decision model can increase the direct hot charging rate by 9.49% and the hot charging rate by 3.58%.Reheating furnace scheduling problem is to make decisions on the distribution of reheating furnace and the charging and discharging time of slab on the basis of meeting the minimum heating time requirements of slab,so as to reduce heating fuel consumption and improve production efficiency.According to the production and operation characteristics of the reheating furnace-hot rolling mill section,this thesis abstracts the entities such as the hot rolling mill,the heating furnace and the casting slab,analyzes their state update rules,establishes the discrete event simulation process of the heating furnace scheduling,designs the hot rolling unit plans with different temperature structures for experiments,and obtains the correlation between the heating time and completion time of mixed charging furnace mode and specific furnace mode and the temperature structure of the hot rolling unit,it is also proved that when the hot charging proportion of hot rolling unit is high and the number of cold and hot cross feeding is large,the completion time of specific furnace mode can be reduced by 10.43% and the additional heating time of specific furnace mode can be reduced by 66.32% compared with the mixed charging furnace mode.According to the above models and solution methods,an optimization model system of continuous casting-hot rolling interface connection based on B/S framework is developed.Through design of the system,web pages of interface process configuration,slab destination decision-making,reheating furnace scheduling are determined,and tools such as Visual Studio are used to complete the front-end and back-end development of the system.The functional test can prove that the system has a good human-computer interaction interface,which can realize the functions of selecting and displaying the input data,configuring the algorithm parameters and simulation conditions,and displaying the calculation results in charts.In summary,focusing on continuous casting-hot rolling interface connection optimization,this thesis establishes the mathematical model of slab destination decision-making and the simulation model of reheating furnace scheduling,and develops the corresponding model system on this basis.Data experiments show that the proposed model can improve the hot delivery and hot charging rate,reduce the energy consumption of reheating furnace and improve the production efficiency of reheating furnace,the established system can provide an effective solving tool for continuous casting-hot rolling interface connection optimization.

  • 【网络出版投稿人】 重庆大学
  • 【网络出版年期】2024年 09期
  • 【分类号】TP18;TG335.9
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