陈 辉. 双识别智能干选机在龙泉选煤厂的应用[J]. 选煤技术,2024,52(5):1−6.
    引用本文: 陈 辉. 双识别智能干选机在龙泉选煤厂的应用[J]. 选煤技术,2024,52(5):1−6.
    CHEN Hui. Application of the intelligent dry separator operating with dual-energy X-ray plus image recognition technology at Longquan Coal Preparation Plant[J]. Coal Preparation Technology,2024,52(5):1−6.
    Citation: CHEN Hui. Application of the intelligent dry separator operating with dual-energy X-ray plus image recognition technology at Longquan Coal Preparation Plant[J]. Coal Preparation Technology,2024,52(5):1−6.

    双识别智能干选机在龙泉选煤厂的应用

    Application of the intelligent dry separator operating with dual-energy X-ray plus image recognition technology at Longquan Coal Preparation Plant

    • 摘要: 为解决龙泉选煤厂原动筛跳汰排矸时矸石带煤率高、设备故障率高等问题,通过对选前预排矸设备的调研以及相应的煤质分析,最终选择采用“双能X射线+图像识别技术”的双识别智能干选机对原动筛跳汰排矸环节进行技改。结果表明:200~50 mm粒级块原煤产率高、矸石含量高,经双识别智能干选机分选后,产品中平均矸石带煤率 < 2%、矸石排出率 > 90%;相较原动筛跳汰机,智能干选机的矸石带煤率降低了9个百分点,可增加年利润约1 948.79万元,效果良好。该改造实践可为其他具有类似原煤准备问题的选煤厂技改提供一定参考。

       

      Abstract: The movable-bed jig used by Longquan Plant for removal of gangue from raw coal is seen to have the problems of high loss of coal in reject product and high fault rate of equipment. To deal with this situation, work is made on technical transformation of the gangue preremoval process. Based on the results of technical survey of related equipment and raw coal analysis, the plant opts to use an intelligent dry separator operating with dual-energy X-ray plus image recognition technology to replace the movable-bed jig. Field application of the separator shows that when used for treating the 200~50 mm lump coal, the gangue in the coal can be effectively removed with a removal rate of > 90% and a loss of coal in gangue of < 2%, down 9 percentage points from the figure in the case of using the movable-bed jig; and the separator works remarkably well, creating an extra revenue of about 19.4879 million yuan per year for the plant. The technical transformation work can serve as a reference for other plants facing similar problems in raw coal pretreatment process.

       

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