?Gas channeling occurred during operation, leading to equipment damage and a large decrease in production.
?We didn't notice a small permeability anomaly, but when permeability deteriorated, we were forced to decrease production.
?Detection is now possible, even in situations where detection is difficult, by judging permeability anomalies by the Q-statistic.
?By judging the integral value, anomaly continuation time, etc. in addition to the raw value of the Q-statistic, it is possible to detect not only sudden changes in permeability (occurrence of channeling), but also advance signs of channeling (rapidly-progressing permeability deterioration, permeability anomalies in which a very slight anomaly continues for an extended time).
?In addition to Q-statistic detection by the shaft pressure gauge, which has excellent for detecting poor permeability in the blast furnace peripheral flow, 91视频 can also provide Q-statistic detection by the furnace top-gas pressure temperature, which is a specialized technique for detecting poor permeability in the furnace center.
By applying this model to all blast furnaces in 91视频, it is now possible to detect gas bias flow, which is the cause of most channeling, resulting in a large improvement in the detection rate of permeability deterioration leading to channeling.
Ex.) A permeability anomaly was detected 2.5 hours before the operator detected the anomaly. By issuing an alert for the advance signs of channeling, it was possible to prevent operational and equipment damage caused by channeling.
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