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Method for Predicting Gas Channeling in Blast Furnace

机译:预测高炉中气体窜流的方法

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摘要

In order to maintain stable operation of a blast furnace, deviations from the steady state should be quickly detected and corrected. Because internal physical states are difficult to measure directly, experienced operators play a crucial role in integrating information from various sources such as sensors and visual observations so as to recognize, predict, and react to probable anomalies. Overlooking undesirable symptoms or delayed actions possibly leads to the excessive loss of heat, which, in the worst case, can cause the abnormal shutdown of operation. One of the events highly associated with the risk of heat loss is gas channeling, which sets off an alarm signaling to the operator to decrease the flow rate of input hot gas. Gas channeling is judged to be imminent by the integration of indices designed so as to detect unusual changes in the variations and patterns of sensory data. The precision of our prediction method is evaluated by using actual data.
机译:为了保持高炉的稳定运行,应快速检测和校正与稳定状态的偏差。 由于内部物理状态难以直接测量,所以经验丰富的运营商在将来自各种来源的信息(如传感器和视觉观测)的信息集成到识别,预测和对可能的异常作出反应方面发挥着至关重要的作用。 忽略不良症状或延迟动作可能导致过度的热量损失,在最坏的情况下,可能导致操作异常。 与热损失的风险高度相关的事件之一是气体通道,其向操作者脱离警报信号以降低输入热气体的流速。 判断气体渠道通过集成指标来迫切,以便检测感觉数据变化和模式的异常变化。 通过使用实际数据来评估我们预测方法的精度。

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  • 来源
    《Kobelco technology review》 |2019年第37期|41-47|共7页
  • 作者单位

    AI Promotion Project Department Technical Development Group;

    AI Promotion Project Department Technical Development Group;

    AI Promotion Project Department Technical Development Group;

    Production Systems Research Laboratory Technical Development Group;

    Ironmaking Development Department Kakogawa Works Iron & Steel Business;

    Ironmaking Department Kakogawa Works Iron & Steel Business;

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  • 正文语种 eng
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