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In-Plant Testing of a Video-Based Coal Slurry Ash Analyzer

机译:基于视频煤浆灰分析仪的植物内测试

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Automatic control of fine coal cleaning circuits has traditionally been limited by a lack of sensors for on-line ash analysis. Although several nuclear-based slurry analyzers are available, none have seen widespread acceptance. In this investigation, image analysis is used for on-line determination of ash content in fine coal slurries. The ash content of a flotation tailings stream is correlated to the mean gray level of the slurry. Calibration data obtained from in-plant testing indicate that the sensor is accurate to ±4% ash over a range from 65 - 90% ash based on a 90% prediction interval. While this result is comparable to existing nuclear-based analyzers, the video-based system is only a fraction of the cost. The sensor is currently installed at the Middle Fork preparation plant owned by Pittston Coal Company where efforts to harden the system for long-term industrial operation are currently underway.
机译:通过对在线灰分分析的缺乏传感器,传统上,微煤清洁电路的自动控制有限。尽管有几种基于核浆料分析仪可用,但没有人看来广泛的验收。在该研究中,图像分析用于在线煤浆中的灰分含量的在线测定。浮选尾矿流的灰分含量与浆料的平均灰度水平相关。从工厂测试中获得的校准数据表明传感器在基于90%的预测间隔的基于90%的预测间隔的65-90%灰分范围内精确到±4%灰分。虽然该结果与现有的基于核的分析仪相当,但基于视频的系统只是成本的一​​小部分。该传感器目前安装在Pittston煤炭公司拥有的中间叉准备厂,该厂在努力硬化系统的长期工业运营系统目前正在进行中。

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