【摘要】 为了解决长压短抽通风方式下传统抽风口集尘效果不适应掘进速度快、产尘量大的工作面集尘需求等问题，提出设计抽风筒集尘口装置及系统布局，以降低快掘面高粉尘危害和污染等隐患。利用Fluent建立集尘系统的粉尘场有限元模型，分析单集尘参数对粉尘场影响并确定参数取值范围，设计二次回归正交试验，建立司机和人行道呼吸带粉尘质量浓度双目标优化模型，采用NSGA-Ⅱ算法求解模型。以陕西某矿快掘面为研究对象，求解得到该集尘布局下最佳集尘参数方案。搭建集尘系统试验平台来测试最佳集尘参数方案，研究结果表明：试验测试值和预测值误差小于8%,优化后的司机处粉尘质量浓度和人行道呼吸带平均粉尘质量浓度分别降低79.3%,58.7%,证明优化模型准确且有效。研究结果可为实现快掘面空气净化目标提供参考。更多还原

【Abstract】 In order to solve the problem that the dust collection effect of traditional exhaust outlet under the ventilation mode of long pressing and short pumping is not suitable for the dust collection demand of the working face with fast driving speed and large dust production, the dust collection port device and system layout of the exhaust duct were proposed and designed to reduce the hazards of high dust and pollution at the fast-tunneling face.Fluent was used to establish the finite element model of dust field of the dust collection system, the influence of single dust collection parameter on the dust field was analyzed, and the value ranges of the parameters were determined.The quadratic regression orthogonal test was designed to establish a dual-objective optimization model of dust concentration of drivers and pavement respiratory zone, and the NSGA-Ⅱ algorithm was used to solve the model.Taking the fast-tunneling face of a mine in Shaanxi province as the research object, the optimal dust collecting parameter scheme under the dust collecting layout was obtained, and a dust collection system test platform was built to test the optimal dust collection parameter scheme.The research results show that the error between the test value and the predicted value is less than 8%,and the optimized dust mass concentration at the driver’s place and the average dust mass concentration at the pavement respiratory zone are reduced by 79.3% and 58.7%,respectively, which verified that the optimized model is accurate and effective.The research results can provide reference for realizing the goal of air purification in the fast-tunneling faces.更多还原