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DEVELOPMENT OF CHANNELING PREDICTION SYSTEM FOR A BLAST FURNACE

机译:高炉通道预测系统的开发

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As channeling always results from the uneven gas distribution through burden layers or abnormal gas resistance in BF, it results in abnormal pressure changes. Thus, the visualization technology mainly made of pressure distribution was developed to predict BF channeling phenomena in this study. The real-time data of BF shaft pressure was used to create 3D visual model by neural network algorithms and 3D real-time BF pressure changes was observed.
机译:由于通道总是通过BF中的负荷层或异常气体阻力来源的不均匀气体分布,因此导致异常的压力变化。因此,主要由压力分布制成的可视化技术以预测本研究中的BF信道现象。 BF轴压力的实时数据用于通过神经网络算法创建3D视觉模型,并且观察到3D实时BF压力变化。

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