基于提质增效的王坡选煤厂粗煤泥系统工艺优化研究

    Research on process optimization of coarse coal slime system in Wangpo Coal Preparation Plant based on quality and efficiency improvement

    • 摘要: 为解决粗煤泥系统“螺旋分选机+弧形筛”工艺存在的煤质正常时粗精煤“背灰”、煤质异常时优质资源浪费及脱泥效率低等问题,王坡选煤厂对粗煤泥系统进行工艺优化改造,采用“干扰床分选机+三质体电磁筛+煤泥离心机”的新型工艺组合。通过生产试验与数据分析,验证了改造方案的可行性与优越性:煤质正常(入料灰分 ≤ 35%)时,粗精煤经分选脱水后灰分降至10.84%,满足精煤掺配要求,无需降低末煤分选密度,规避了末精煤产率损失的风险;煤质异常(入料灰分 > 35%)时,粗精煤灰分优化至13.39%,仅需小幅降低末精煤灰分0.6个百分点即可平衡“背灰”现象,避免优质资源混入末原煤。改造后三质体电磁筛脱泥效率提升至92%以上,显著优于原弧形筛。经核算,按年处理300万t原煤规模,改造后每年可提升企业经济效益1 262.55万元,为同类煤质波动较大的矿井型选煤厂粗煤泥系统优化提供了实用技术参考。

       

      Abstract: To address issues in the original coarse slime system′s “spiral separator + sieve bend” process—such as coarse clean coal “carrying excessive ash” under normal coal quality, waste of high-quality resources during coal quality fluctuations, and low desliming efficiency—Wangpo Coal Preparation Plant optimized the process by implementing a new combination of “TBS + tri-mass electromagnetic vibrating screen + slime centrifuge.” Through production tests and data analysis, the feasibility and superiority of the optimization scheme were verified. Under normal coal quality (feed ash ≤ 35%), the ash content of coarse clean coal dropped to 10.84% after separation and dehydration, meeting the blending requirements for clean coal without reducing the separation density of slack coal, thus avoiding yield loss of final clean coal. During abnormal coal quality periods (feed ash > 35%), the ash content of coarse clean coal was optimized to 13.39%; a minor reduction of only 0.6 percentage points in final clean coal ash was sufficient to balance the “excessive ash” phenomenon, preventing high-quality resources from being mixed into raw slack coal. Post-renovation, the desliming efficiency of the tri-mass electromagnetic screen increased to over 92%, significantly outperforming the original sieve bend. Calculations show that for an annual processing capacity of 3 million tons of raw coal, the optimization can increase the enterprise′s economic benefits by 12.6255 million yuan per year. This study provides a practical technical reference for optimizing coarse slime systems in mine-type coal preparation plants with high coal quality fluctuations.

       

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