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多风机联合高效运转按需调风策略及实验研究

A strategy and experimental study for on-demand control airflow with multiple main fans operating jointly and efficiently

  • 摘要: 针对煤矿多风机联合运转时存在的通风效率低、能耗高及供需不匹配等问题,分析了多风机相互扰动的影响特性,提出了矿井复杂通风网络风量协同调控策略。通过构建复杂通风管网实验平台,以风机F1所属区域的分支e8和风机F2所属区域的分支e13为调控对象,风量分别降低0.05、0.10 m3/s,利用复杂通风管网实验平台进行风机与通风调节设施的协同调控实验。实验结果与计算值的最大相对误差仅为5.25%,调节准确度超过85%,验证了风量智能化按需协同调控策略在复杂管网实验平台的可行性。

     

    Abstract: To address the challenges of low ventilation efficiency, high energy consumption, and mismatched supply and demand arising from the joint operation of multiple main fans in coal mines,we analyzed the mutual disturbance effects among the fans. A coordinated airflow regulation strategy tailored to complex mine ventilation networks was proposed. The analysis indicated that the airflow in branche8,associated with fan F1,and branche13,associated with fan F2,should be reduced by 0. 05 m3/ s and 0. 10 m3/ s,respectively. Experiments were conducted using a complex ventilation network experimental platform to coordinate the regulation of fans and ventilation adjustment facilities. The results demonstrated a maximum relative error of only 5. 25% between experimental and calculated values, with regulation accuracy exceeding 85%. These findings validate the feasibility of the intelligent,demand-based coordinated airflow regulation strategy within complex network environments.

     

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