首页> 外国专利> Abnormality determination apparatus for a blast furnace, an abnormality determination method for a blast furnace, a method for operating a blast furnace, and a manufacturing method for molten iron

Abnormality determination apparatus for a blast furnace, an abnormality determination method for a blast furnace, a method for operating a blast furnace, and a manufacturing method for molten iron

机译:高炉异常测定装置、高炉异常测定方法、高炉操作方法和铁水制造方法

摘要

(Project) To provide an abnormality determination apparatus and method capable of detecting not only abnormal state detection, but also detection of a preliminary indication of state abnormality in a blast furnace. (Solution means) The abnormality determination device 10 detects an abnormality in the blast furnace 1 using a plurality of sensors S1 to Sn provided at different positions of the blast furnace 1 , and the plurality of sensors S1 to Sn ) based on the evaluation value calculation unit 11 that calculates an evaluation value from the plurality of measurement data D1 to Dn detected by , and the evaluation value EV calculated by the evaluation value calculation unit 11, It has an abnormality detection unit 12 that detects abnormality in the blast furnace 1 using a threshold EVref1 and a preconditioning threshold EVref2 smaller than the abnormality threshold EVref1. The abnormality detection unit 12 determines that the evaluation value EV is abnormal when the evaluation value EV is larger than the abnormality threshold value EVref1, and the period in which the evaluation value EV is larger than the preliminary preparation threshold EVref2 is the set period PT ) If the abnormality continues, it is judged that there is an abnormal precedent.
机译:(项目)提供一种异常确定装置和方法,不仅能够检测异常状态检测,而且能够检测高炉中状态异常的初步指示。(解决方法)异常确定装置10使用设置在高炉1不同位置的多个传感器S1到Sn,以及多个传感器S1到Sn)检测高炉1中的异常,该多个传感器S1到Sn)基于评估值计算第十一单元,该评估值计算单元11计算从检测到的多个测量数据D1到Dn的评估值,以及由评估值计算第十一单元计算的评估值EV,其具有异常检测第十二单元,该异常检测单元使用阈值EVref1和小于异常阈值EVref1的预处理阈值EVref2来检测高炉1中的异常。异常检测第十二单元在评估值EV大于异常阈值EVref1时确定评估值EV异常,并且评估值EV大于预备阈值EVref2的周期是设置的周期PT)如果异常继续,则判断存在异常先例。

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