Research on a Method of Ladle Scheduling Based on Rule Learning*

Wei Liu, Xinfu Pang, Zongfu Hou, Shenping Yu, Haibo Li
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Abstract

In steel-making and continuous casting production processes, the starting time delay happens frequently, which may lead to casting break or processing conflict so that the static scheduling plan becomes unrealizable. The ladle rescheduling of steel-making and continuous casting production aims at continuously casting many charges with the same cast and avoiding conflicts of adjacent charges on the same machine. It decides the selected processing machines, the starting time and the completion time for not started charges at the steel-making stage and the refining stage. The completion time also should be decided for being processed charges. Then, based on the production equipment scheduling plan of the heat, the requirements of the processing equipment (converter, refining furnace and continuous casting machine) of the heat are met. Under the conditions of the start and end time of the equipment, a ladle carrying molten steel is selected, and determine the route of transporting the ladle. Since ladle scheduling must meet multiple conflicting goals and conflicting constraints, it is difficult to adopt existing optimal scheduling methods. This paper proposes a method of ladle scheduling in the production process of steelmaking-refining-continuous casting. First, scheduling optimization model of the steel-making and continuous casting production is built, which aims at minimizing the waiting time of all charges. The scheduling strategy of steel-making and continuous casting production is proposed by interval processing time of charges and scheduling expert experience. Then, the first-order rule learning is used to select the optimization target to establish the ladle optimal scheduling model. the ladle matching rules are extracted by the rule reasoning of the minimum general generalization; the ladle optimization scheduling method consisting of the optimal selection of the ladle and the preparation of the optimal path of the ladle is proposed. Ladle selection is based on the production process and adopts rule-based reasoning to select decarburized ladle, or select decarburized ladle after selecting dephosphorized ladle. Ladle path preparation, a multi-priority heuristic method is designed to decide the path of the ladle from the converter to the refining furnace to the continuous casting machine. Finally, based on a large-scale steel company in Shanghai, China, the method was actually verified, and the results showed that the production efficiency of steelmaking-refining-continuous casting was improved.
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基于规则学习的钢包调度方法研究*
在炼钢和连铸生产过程中,经常发生启动时间延迟,导致铸件断裂或加工冲突,使静态调度计划无法实现。炼钢连铸生产的钢包调度,是为了用同一铸锭连续铸造多种炉料,避免相邻炉料在同一台机器上的冲突。确定了炼钢阶段和精炼阶段加工设备的选择、启动时间和未启动炉料的完成时间。完成时间也应决定为被处理的费用。然后,根据生产设备排热计划,满足加工设备(转炉、精炼炉、连铸机)对排热的要求。在设备开始和结束时间的条件下,选择一个携带钢水的钢包,并确定钢包的运输路线。由于钢包调度必须满足多个相互冲突的目标和约束,现有的最优调度方法难以采用。提出了一种炼钢-精炼-连铸生产过程中钢包调度的方法。首先,建立了炼钢连铸生产调度优化模型,以使所有物料的等待时间最小为目标。根据炉料间隔加工时间和调度专家经验,提出了炼钢连铸生产调度策略。然后,利用一阶规则学习选择优化目标,建立钢包最优调度模型。采用最小一般泛化的规则推理方法提取钢包匹配规则;提出了钢包优化调度方法,包括钢包的优化选择和钢包最优路径的编制。钢包的选择是基于生产工艺,采用基于规则的推理选择脱碳钢包,或者在选择脱磷钢包后选择脱碳钢包。设计了一种多优先级启发式方法确定钢包从转炉到精炼炉再到连铸机的路径。最后,以上海某大型钢铁企业为例,对该方法进行了实际验证,结果表明,该方法提高了炼钢-精炼-连铸的生产效率。
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