首页> 外文会议>International Conference on Computational Intelligence and Security(CIS 2006) pt.1; 20061103-06; Guangzhou(CN) >A Monitoring System of Chinese Pill Material's Density and Moisture Content Based on Focusing Fuzzy Clustering Algorithm
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A Monitoring System of Chinese Pill Material's Density and Moisture Content Based on Focusing Fuzzy Clustering Algorithm

机译:基于聚焦模糊聚类算法的中国药材密度和水分含量监测系统

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摘要

In order to raise Chinese pills' productive efficiency, a microwave resonator (MR)with a center hole is improved for measuring density and moisture content of Chinese pill material. When pill material passes through the center hole, its density and moisture will cause resonant frequency excursion (RFE) and microwave attenuation (MA). Under the same moisture, density is only related to MA. If RFE and MA are detected, we can calculate density and moisture content of pill material. Based on experimental data, a focusing fuzzy clustering algorithm is presented for modeling response characteristic of the resonator, then a microwave measurement device is designed, and a monitoring system for density and moisture content of Chinese pill material is developed by using this device. Testing results on a Chinese pill production line showed that the system had high measuring accuracy.
机译:为了提高中药的生产效率,改进了带有中心孔的微波谐振器(MR),用于测量中药材料的密度和水分含量。当药丸材料通过中心孔时,其密度和水分会引起共振频率偏移(RFE)和微波衰减(MA)。在相同湿度下,密度仅与MA有关。如果检测到RFE和MA,我们可以计算药丸材料的密度和水分含量。基于实验数据,提出了一种聚焦模糊聚类算法,对谐振器的响应特性进行建模,然后设计了微波测量装置,并利用该装置开发了中药物料密度和水分含量监测系统。在中国药丸生产线上的测试结果表明,该系统具有很高的测量精度。

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