| 光学粉尘检测中的模式分类反演法 |
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| 引用本文： | 马凤英,赵永林,孙凤池,蔺增金.光学粉尘检测中的模式分类反演法[J].山东科技大学学报(自然科学版),2000,19(3):86-88. |
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| 作者姓名： | 马凤英 赵永林 孙凤池 蔺增金 |
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| 作者单位： | 1. 山东轻工业学院机电工程系济南 250100
2. 山东科技大学电气工程系济南 250031 |
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| 摘 要： | 分析了基于Ｆｒｏｕｎｈｏｆｅｒ衍射的煤矿井下粉尘粒度分布检测的模式识别算法，针对决定反演精度的模式数量与传感器实时性之间的突出矛盾，提出了模式分类方案，使模式识别的速度提高原来的若干倍，从而为实时反演算法的单片机运行提供了有力保障。
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| 关 键 词： | 粉尘传感器 光学检测 煤矿 粉尘检测 模式分类 |
| 文章编号： | 1000-2308(2000)03-0086-03 |
| 修稿时间： | 1999年11月24 |
Inversion ethod of Pattern Classifiction Used Optical Dust Detection |
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| MA Feng ying ,ZHAO Yong lin ,SUN Feng chi ,LIN Zeng jin.Inversion ethod of Pattern Classifiction Used Optical Dust Detection[J].Journal of Shandong Univ of Sci and Technol: Nat Sci,2000,19(3):86-88. |
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| Authors: | MA Feng ying ZHAO Yong lin SUN Feng chi LIN Zeng jin |
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| Institution: | MA Feng ying 1,ZHAO Yong lin 2,SUN Feng chi 2,LIN Zeng jin 2 |
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| Abstract: | This paper analyses the pattern recognition algorithm for detection of coal mine dust size distribution based on Frounhofer diffraction and presents the dust pattern classification scheme in view of the prominent conflict between the pattern number which determines the inversion precision and the real-time feature of sensors it can make the inversion speed several times faster than before and provides solid foundtion for executing inversion algorithm on single-chip computer. |
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| Keywords: | dust sensor Frounhofer diffraction pattern recognition dust pattern classification |
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