高炉冶炼过程计算机炉况预测系统初探

AN APPROACH OF USING COMPUTER IN BLAST FURNACE CONDITION PREDICTING

人工智能技术的发展,为将计算机用于高炉冶炼过程控制带来了新的思想和方法.本文应用知识工程发展的最新成果进行计算机高炉炉况判断和预测的研究,是进行高炉人工智能控制的一次有意义的尝试. 炉况判断程序是采用人工智能语言PROLOG编写的.它根据现场参数的变化,分析出现炉况异常的征兆,进行炉况异常预报.在炉况判断程序设计中,所用规则是参照高炉操作工长的实践经验并模拟人的思考方式而编制的.现场采集的数据经处理后,以事实的形式和有关规则结合在一起进行炉况判断.由程序输出炉况判断结果,与此同时系统提供相应的信息,作为高炉操作的参考.

An attempt is made to introduce the concept of artificial intelligence to the process control of a blast furnace. A PROLOG program is used for predicting the process condition and providing operational guidance. The identification of the furnace condition is made on the basis of careful analysis of the gathered data, in which a series of calculations and comparisons may be involved. The results of these calculations support the furnace condition recognition according to the rules of the empirical knowledge. A set of standard values is defined by applying statistical tests to the normal condition of the process, that plays an important role in the judgement for the process condition. At the same time, the online data is compared with their former values for estimating the trend of variations. More attention is paid on some important irregular conditions of the blast furnace are paid more attention. The methodology in expressing the experienced knowledge of the blast furnace is the main problem in the establishment of the knowledge base, which should be open to the users for modification and knowledge accumulation. Some of the imitation of the thinking process of the blast furnace operators are made. The results of the calculations and data analysis are expressed in the form of facts and are linked to the rules for the judgement of the furnace condition. The furnace condition is fully identified as normal or certain trouble being present. Suggestions on the operational acts are given as well.