马凤英1,2,翟　波2,3,王福增2,4

(1.山东轻工业学院电子信息与控制学院,山东济南250100;2.中国矿业大学(北京)机电与信息工程学院,北京100083;3.辽宁石油化工大学信息工程学院,辽宁抚顺113001;4.河北农业大学信息科学与技术学院,河北保定071000)摘　要:根据粉尘衍射光的角谱特征,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更加贴近,同时由于传感器的信号较弱,运用谐波分析的方法对测量信号的组成进行了分析,针对分析结果,采用了切实可行的数字滤波方案,使信号的信噪比得到了较大的提高。

关键词:粉尘传感器;衍射光角谱;模式识别;模式修补;数字滤波

中图分类号:TD714+.3　　　文献标识码:A　　　文章编号:1003-496X(2006)05-0007-03Inversion Algorithm of Pattern Amendment and Digital Filter Applied in Photoelectric Dust SensorMA Feng-ying1,2,ZHAI Bo2,3,WANG Fu-zeng2,4(1.College of Electronic Information and Control Engineering, Shandong Institute of Light Industry, Jinan250100,China;2.School of Mechanical Electronic&Information Engineering, China University of Mining&Technology Beijing.Beijing,100083,China;3. School ofInformation&Engineering, Liaoning University ofPetroleum and Chemical Technology,Fushun113001,China;4.Information Science and TechnologyAgriculture University ofHebei Colleage, Baoding017000,China)Abstract:Mine dust has a great effect on miners health.And above all it can cause the dust explosion.So it is radical for mine to detectthe real time dust.The dust pattern recognition algorithm was presented according to its diffraction angular distribution. To improvethe dust detect precision,the error analysis was made and dust amendment function had been brought up . The eigenvectors of thirtysix amendment patterns were worked out and stored in single-chip computer. Suitable amendment pattern improved the optimumpattern in local scope.The variance between the pattern eigenvectors mended and the real time dust signals becomes less.As to theweak signals of the detector,the author used harmonic analysis to analyze the composition of the detected signal.According to the ana-lyzed result,the author adopted digital complex filtration scheme to increase the Signal-to-Noise.Finally the simulation indicates thedetection precision and speed have been improved.Key words:dust sensor;angular distribution;pattern recognition;pattern amendment;digital filter

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