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SYSTEM FOR JUDGING ABNORMAL FURNACE CONDITION IN BLAST FURNACE

机译:高炉异常炉况判断系统

摘要

PROBLEM TO BE SOLVED: To solve such a broblem that the dispersion with each of operators and mis judgements often occur because the abnormality in a blast furnace is judged based on the experience of the operator by observing data displayed in the pictures with the operator based on signals from various kinds of sensors arranged in the blast furnace in the conventional method for judging the abnormality in the blast furnace. ;SOLUTION: A system for judging the abnormal furnace condition in the blast furnace is composed of a neural network part 3 which prepares featured values for recognizing sounding shape from sounding depth time sequential data and executes a pattern recognition to the sounding shape by inputting these featured values, and a fuzzy system part 5 which judges the probability of developing the slippage by inputting the prepared data based on data from the output of the neural network part 3 and each sensor in the blast furnace.;COPYRIGHT: (C)1998,JPO
机译:解决的问题:为了解决这样的问题,由于高炉的异常是根据操作员的经验根据操作员的经验来判断的,因此经常发生与操作员之间的分散和错误判断,这是通过解决方案来解决的。在判断高炉中异常的常规方法中,来自设置在高炉中的各种传感器的信号。 ;解决方案:一种用于判断高炉中异常炉况的系统,由神经网络部件3组成,该神经网络部件3会准备特征值,以根据探测深度时间顺序数据识别探测形状,并通过输入这些特征来对探测形状执行模式识别值,以及模糊系统部分5,该系统通过输入神经网络部分3的输出和高炉中每个传感器的数据,通过输入准备好的数据来判断滑移的可能性。COPYRIGHT:(C)1998,JPO

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