改进康达效应的综掘面除尘系统参数智能调控
Intelligent Parameter Control of the Improved Coanda Effect Dust Removal System for the Excavation Face
-
摘要: 煤炭工业作为我国的支柱产业,为国民经济的发展做出了突出贡献。然而,煤矿开采过程中产生的粉尘污染问题严重影响了井下工作人员的健康和生产安全。为了解决这一问题,基于康达效应对传统的长压短抽式通风除尘系统进行了改进,并通过卷积神经网络对改进后的系统进行智能参数优化。通过有限元建模仿真与对改进康达效应通风除尘系统进行参数优化与验证,结果表明,改进后的除尘系统在压抽比2:3时达到最好的除尘效果,且相较于相同风压比下的长压短抽式通风除尘系统,改进后的系统在司机处及下风侧处平面下的平均粉尘浓度分别降低了5.56%和55.41%。通过搭建等比例缩小的改进康达效应通风除尘系统实验平台收集除尘调控参数,进一步利用神经网络模型对不同除尘调控参数下的粉尘浓度进行预测从而实现参数智能优化,实现了不同初始粉尘浓度最佳除尘效果调控参数的预测与验证。得出改进康达效应的综掘面同分除尘系统在初始粉尘浓度为900 mg·m-3下使用第6组调控方案时除尘效率最高、司机处和下风侧处的粉尘浓度分别下降了80.35%和87.42%。结果表明改进康达效应的综掘面通风除尘系统通过卷积神经网络智能参数调控后具有较高的除尘效率。Abstract: The coal industry, as a pillar industry of China, has made outstanding contributions to the development of the national economy. However, the dust pollution generated during coal mining seriously affects the health and safety of underground workers. To address this issue, the traditional long-pressure short-extraction ventilation and dust removal system was improved based on the Coanda effect. The improved system was then subjected to intelligent parameter optimization using a convolutional neural network (CNN). Finite element modeling simulation and parameter optimization verification of the improved Coanda effect ventilation and dust removal system showed that the best dust removal effect was achieved at a pressure-extraction ratio of 2:3. Compared to the traditional long-pressure short-extraction ventilation system with the same pressure ratio, the improved system reduced the average dust concentration at the driver's position and the downwind side by 5.56% and 55.41%, respectively. An experimental platform with a scaled-down version of the improved Coanda effect ventilation and dust removal system was built to collect dust control parameters. Further, a neural network model was used to predict dust concentrations under different dust control parameters to achieve intelligent parameter optimization. The best dust removal effect control parameters for different initial dust concentrations were predicted and validated. It was found that the improved Coanda effect dust removal system achieved the highest dust removal efficiency when the initial dust concentration was 900 mg/m3 using the sixth control scheme, reducing the dust concentration at the driver's position and the downwind side by 80.35% and 87.42%, respectively. The results indicate that the improved Coanda effect dust removal system for the excavation face, after intelligent parameter control by the CNN, has high dust removal efficiency.
点击查看大图
计量
- 文章访问数: 14
- HTML全文浏览量: 2
- 被引次数: 0