基于智能集控的薄煤层综采工作面工艺优化研究

Optimization and Research on Process of Thin Coal Seam Fully Mechanized Mining Face Based on Intelligent Centralized Control

  • 摘要: 针对薄煤层开采中存在的顶板管理难度大、设备协同性差、生产效率低等问题,以森达源煤业公司10106综采工作面为研究对象,提出基于智能集控的薄煤层综采工作面工艺优化方案。该方案构建了分层分布式智能控制系统架构,实现采煤机双向记忆截割、支架自动跟机移架和三机设备智能联动。在工艺参数优化方面,采用“小进尺、快速度”的割煤方式和“紧跟快移”的支架移架策略,建立了基于支架工作阻力的顶板智能控制模型,开发了运输系统智能调度算法。根据连续3个月的生产数据统计,优化后工作面日均产量稳定提升至1890 t,人均效率达到25.7 t/工,吨煤能耗降低至35.8 kWh/t。

     

    Abstract: In view of the existing problems of large difficulty in roof management, poor equipment coordination, low production efficiency and others in thin coal seam mining, taking the 10106 fully mechanized mining face of Sendayuan Coal Industry Company as the research object, an optimization scheme for thin coal seam fully mechanized mining face process based on intelligent centralized control is proposed. This scheme constructs a hierarchical distributed intelligent control system architecture, which achieves shearer bidirectional memory cutting, bracket automatic follow-up and movement, and intelligent linkage of the three machine equipment. In the aspect of process parameter optimization, a coal cutting way of "small footage, fast speed" and a bracket moving strategy of "closely following fast movement" are adopted. A roof intelligent control model based on the working resistance of the bracket is established, and a transportation system intelligent scheduling algorithm is developed. According to the production data statistics for three consecutive months, the daily yield of the working face after optimization is steadily improved to 1890 tons, with a per capita efficiency reaching 25.7 tons/worker, and the energy consumption per ton of coal is decreased to 35.8 kilowatt hours/ton.

     

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