基于蒙特卡洛算法的矿尘粒径测量研究  

Research on Dust Particle Size Measurement Based on Monte Carlo Algorithm

作　　者：赵延军 冯国旗 高承彬 

机构地区：[1]华北理工大学电气工程学院,河北唐山063000 [2]北京交通大学海滨学院,河北黄骅061100

出　　处：《煤矿安全》2016年第11期184-186,共3页Safety in Coal Mines

基　　金：国家自然科学基金资助项目(51476154)

摘　　要：在光散射颗粒粒径分布测量过程中会产生大量测量数据,且无法对所有测量数据进行精确分析,导致煤矿粉尘的测量结果产生误差。为了提高煤矿粉尘分布测量系统的稳定性和测量精度,通过蒙特卡洛算法对部分测量数据进行跟踪分析,并分配权重,建立蒙特卡洛数据软测量模型,并对测量关键参数进行推算。结果表明,蒙特卡洛算法在光散射颗粒粒径分布测量系统中,能够有效的提供稳定精确的数据分析方案,为工业应用提供有效且可靠的方法。Large amount of measured data will produce during the measurement process of light scattering particle size distribution, which could lead error results in terms of coal mine dust measurement. In order to improve the systematic stability and accuracy of coal dust distribution measurement, we try to track and analyze part of the measurement data through Monte Carlo method and distribute weight to establish Monte Carlo data soft measurement model and calculate some key parameters. The results show that the Monte Carlo algorithm can provide a stable and accurate data analysis method in the measurement system of light scattering particle size distribution, which can also provide an effective and reliable method for industrial application.

关 键 词：蒙特卡洛算法 粒径测量 粉尘治理 斯托克矢量 拒绝算法 数据建模 

分 类 号：TD714.3[矿业工程—矿井通风与安全]