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煤矿粉尘严重影响井下工人的身体健康,对粉尘浓度分布的研究,是防止粉尘危害的基础.根据掘进工作面不同地点实测的呼吸性粉尘和全尘浓度值,基于最小二乘的思想建立数学模型,并结合Matlab软件,运用线性、多项式、指数、反比例函数四种曲线拟合的方法对掘进工作面不同地点的两种粉尘浓度分布分别进行拟合,得到粉尘浓度和掘进面距离之间的函数关系.通过计算各种拟合曲线的均方误差,找到最佳的拟合方案,为井下的防尘工作提供可靠的依据,达到更好的防尘效果.
Coal mine dust seriously affects the health of downhole workers and the study on the distribution of dust concentration is the foundation to prevent dust hazard.A mathematical model is established based on the idea of least squares based on the measured values of respirable dust and dust concentration at different sites of driving face, , And combined with Matlab software, using the four curve fitting methods of linear, polynomial, exponential and inverse proportion function to fit the two kinds of dust concentration distribution in different working face of tunneling, respectively, and get the relationship between the dust concentration and the distance of driving face The relationship between functions can be obtained by calculating the mean square error of various fitting curves so as to find the best fitting scheme and provide a reliable basis for the dustproof work in the underground to achieve better dustproof effect.