重介质旋流器智能化系统的开发与工业性试验

    Development of the intelligent DMC system and its industrial test

    • 摘要: 澳大利亚近70%的原料煤采用重介质旋流器洗选,以生产能够满足销售要求的煤炭产品,故实现和维持重介质旋流器的最佳运行对产品产率和企业盈利最大化至关重要。为此,开发出一种重介质旋流器智能化系统。该系统可在线监测各物料流的介质密度和产品产率,采用改进的悬浮分配模型,结合测得的介质密度,可在线预测产品分配曲线;依据在线监测的产品产率和分配曲线,可在线预测入料的可选性曲线。工业性试验表明:该智能化系统各子系统均可作为独立的测量手段,且测量结果足够准确。在己知原料煤的瞬间灰分曲线时,结合在线产品分配曲线和原料煤可选性曲线,就可以在线预测产品灰分和增量灰分;在给定产品灰分的条件下,预测的产品灰分或增量灰分与所要求一致时的分选密度就是最佳分选密度。

       

      Abstract: Nearly 70 percent of Australian's raw coal is treated with dense medium cyclone (DMC) to produce up-to-standard saleable coal product. Therefore for maximizing product yield and profitability, achieving and maintaining an optimum DMC operating condition is of vital importance. Such being the case, an intelligent DMC system is specifically developed. With the use of the system, it is made possible to make on-line monitoring of medium densities of various process streams and yield of products, prediction of partition curves of DMC products based on the medium density values measured using an improved suspension-distribution model, and prediction of washability curves of feed coal based on measured product yield and partition curves. As evidenced by industrial-scale test, the DMC system and its sub-systems can all serves as an independent measuring means, and the measured values are quite high in accuracy; given the instantaneous feed coal ash curve, the product ash and incremental ash can be on-line predicted according to measured product partition curve and feed coal washability curve, and at a given product ash, the separation density of DMC at which the predicted product ash and incremental ash are consistent with the required values is then the optimum separating density as expected.

       

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