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

机译:基于视频的煤泥灰分析仪的厂内测试

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摘要

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:传统上,由于缺乏用于在线灰分分析的传感器,精细煤粉清洁回路的自动控制受到限制。尽管有几种基于核的泥浆分析仪可供使用,但没有一个被广泛接受。在这项研究中,图像分析用于在线确定粉煤浆中的灰分含量。浮选尾矿流的灰分含量与浆液的平均灰度相关。从工厂内测试中获得的校准数据表明,基于90%的预测间隔,传感器在65-90%的灰分范围内精确到±4%的灰分。虽然这个结果可以与现有的基于核的分析仪相提并论,但基于视频的系统仅占成本的一小部分。该传感器当前安装在Pittston Coal Company拥有的Middle Fork准备工厂中,目前正在努力加强该系统以使其能够长期工业运行。

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