���Ӣ1,2,�ԡ���2,3,������2,4

(1.ɽ���ṤҵѧԺ������Ϣ�����ѧԺ,ɽ������250100;2.�й���ҵ��ѧ(����)��������Ϣ����ѧԺ,����100083;3.����ʯ�ͻ�����ѧ��Ϣ����ѧԺ,������˳113001;4.�ӱ�ũҵ��ѧ��Ϣ��ѧ�뼼��ѧԺ,�ӱ�����071000)ժ��Ҫ:���ݷ۳������Ľ�������,����������ھ���ʵʱ�۳�����ģʽʶ���㷨��Ϊ����߲�������,�������з���,��������޲�������ģʽʶ�����㷨,�����޲��������36���޲�ģʽ����������,����Ԥ���ڵ�Ƭ����,����ʱѡ����ʵ��޲�ģʽ����������ģʽ���о����޲�,ʹ�޲����ģʽ����⳾����������,ͬʱ���ڴ��������źŽ���,����г�������ķ����Բ����źŵ���ɽ����˷���,��Է������,��������ʵ���е������˲�����,ʹ�źŵ�����ȵõ��˽ϴ����ߡ�

�ؼ���:�۳�������;��������;ģʽʶ��;ģʽ�޲�;�����˲�

��ͼ�����:TD714+.3���������ױ�ʶ��:A���������±��:1003-496X(2006) 05-0007-03 Inversion 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

0��������

ú���·۳�����Ӱ��ú���˵����彡��,������һ����Ũ�ȷ�Χ�ڻ���������ը,����ú���·۳���ʵʱ�����ú��ȫ��������Ҫ���ڡ�Ŀǰú��ʹ�õIJ⳾�ǽ϶�,���й��ʽ�⳾��������п�ʵ�ַǽӴ�ʽ����,������Χ��,���������,�����������ʹ��,��ʵ�ֿ���ʵʱ�������ŵ�,������Ϊ��һ�ֺ��з�չǰ;�IJ������������еĹ��ʽ�⳾�����ڷ۳��Թ��͸����ĺ�ɢ�����õĻ����Ϸ�չ������,�����߾�Ҫ��Բ���ij������ܾ�ȷ����,ʵ���ϼ�ʹ��ͬһ�ɾ�����,��ͬ�Ĺ���״̬���䳾��Ҳ�нϴ�仯,���ֻ�н���һ�����Զ���Ӧ�����仯�ļ�ⷽ�����ܴӸ����Ͻ����һ���⡣

1�����ʽ�������IJ���ԭ����ϵͳ�ṹ

[1][2][3]��һҳ