MA Feng-ying~. Inversion algorithm of pattern amendment applied in photoelectric dust sensor[J]. 2006, (6): 69-71+74. DOI: 10.13873/j.1000-97872006.06.023.
光电式粉尘传感器的模式修补反演算法
摘要
煤矿井下粉尘的实时测量是安全生产的一个重要环节
根据粉尘衍射光的角谱特征
已提出可适用于井下实时粉尘检测的模式识别算法。为了提高测量精度
对误差进行分析
提出了加入修补函数的模式识别反演算法
利用修补函数求出36个修补模式的特征向量
将其预存于单片机中
测量时
选择合适的修补模式对最贴近的模式进行局域修补
使修补后的模式与待测尘样贴近度更高。仿真实验表明:改进的算法使测量精度和测量速度得到改善。
Abstract
Real time detection of coal mine dust is importance to safety in production.The dust pattern recognition algorithm is presented based on diffraction angular distribution.To improve the dust detecting precision
the error analysis is made
and dust amendment function has be brought up.The eigenvectors of thirty six amendment patterns are worked out and stored in singlechip computer.During measurment
choosing suitable amendment pattern ameliorate the optimum pattern in local scope.Pattern eigenvectors mended is better close to the real time dust signals.The simulation experiment shows the detection precision and speed have be improved.