闭环专家系统在某钢厂轧机加热炉加热控制中的应用

S. Mitra, M. Gangadaran
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引用次数: 8

摘要

在过程工业中,分级控制面临的一个关键障碍是缺乏精确的数学关系,无法精确地定义过程行为。这些主要是由于影响过程行为的可变、复杂和不可测量的因素和噪声。然而,这些案例是专家系统最合适的应用领域。在过程工业中,专家系统是人工智能的成功应用领域之一,其中过程专家或一组专家的专业知识和知识被嵌入到计算机推理软件和数据库中。在实时情况下,这些系统可以做出智能决策,就像流程专家在类似情况下所做的那样。在钢铁工业中,确定炼钢厂炼钢炉(如退火炉)不同部位的精确设定工艺温度或热状态是一个令人感兴趣的问题。然而,这个决定是非常关键的,因为钢的最终机械和冶金质量在很大程度上取决于这些温度的固定和精确控制。但具有讽刺意味的是,没有明确定义的数学关系,可以预测精确的热状态,以达到在这种炉内加热的钢卷/钢板的所需质量和性能。通过对博卡罗钢铁厂冷轧厂退火炉和鲁克拉钢铁厂硅钢厂脱碳退火炉的最佳炉温进行预测和控制,开发并实施了专家系统指导的加热控制系统,成功地解决了上述有趣的问题。在这两种情况下,都使用了分层自动化的概念,其中专家系统包括二级自动化层预测最合适的热状态,以获得给定钢板组所需的产品质量。无缝对接的PLC构成一级自动化层。PLC根据专家系统的建议监控和控制工厂。这两种系统都通过提高产量、质量和节能来提高工厂效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of close loop expert system for heating control of rolling mill furnaces in a steel plant
One of the critical impediment faced in hierarchical control in an process industry is unavailability of exact mathematical co-relations, which can precisely define the process behavior. These are primarily due to variable, complex and un-measurable factors and noises influencing the process behavior. However, such cases are most appropriate application areas of Expert Systems. In process industry, Expert Systems are one of the successful application areas of Artificial Intelligence, where expertise and knowledge of a Process Expert or a group of Experts are embedded as computer inference software and database. In a real time situation, these systems can take intelligent decisions as would have been taken by process Expert on a similar situation. Determination of exact Set Process Temperatures or thermal regime on different parts of Rolling Mill Furnaces like Annealing Furnace in a Steel Industry is an intriguing problem. However, this decision is very crucial as final mechanical and metallurgical quality of steel stock significantly depends on fixing and accurate control of these temperatures. But as a irony, no well defined mathematical co-relations are available, which can predict exact thermal regime to be followed to achieve desired quality and properties of steel coils/sheets under heating inside such furnaces. The aforesaid intriguing issue has been successfully resolved by development and implementation of Expert System guided heating control system through prediction and control of optimum furnace temperatures inside Annealing Furnaces at Cold Rolling Mill of Bokaro Steel Plant and Decarburization-Annealing Furnace at Silicon Steel Mill of Rourkela Steel Plant. In both the cases, concepts of hierarchical automation has been used, wherein Expert System comprising Level-II tier of automation predicts most appropriate thermal regime to obtain desired product quality for a given set of steel sheet. A seamlessly dovetailed PLC constitutes Level-I automation layer. PLC monitors and controls the plant as per advice from Expert System. Both the systems have enhanced plants efficiency by improving production, quality and energy conservation.
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