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Optimum Identification Method of Sorting Green Household Waste

机译:绿色生活垃圾分类的最佳识别方法

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This project is related to design of sorting facility for reducing, reusing, recycling green waste material, and in particular to invent an automatic system to distinguish household waste in order to separate them from the main waste stream. The project focuses on thorough analysis of the properties of green household waste. The method of identification is using capacitive sensor where the characteristic data taken on three different sensor drive frequency. Three types of material have been chosen as a medium of this research, to be separated using the selected method. Based on capacitance characteristics and its ability to penetrate green object, optimum identification method is expected to be recognized in this project. The output capacitance sensor is in analogue value. The results demonstrate that the information from the sensor is enough to recognize the materials that have been selected.
机译:该项目涉及用于减少,再利用,回收绿色废料的分类设备的设计,尤其是发明一种自动系统来区分家庭废料,以便将其与主要废料分开。该项目致力于彻底分析绿色家庭垃圾的性质。识别方法是使用电容式传感器,其中特性数据取自三个不同的传感器驱动频率。选择了三种类型的材料作为本研究的媒介,可以使用选择的方法进行分离。基于电容的特性及其穿透绿色物体的能力,有望在本项目中识别出最佳识别方法。输出电容传感器为模拟值。结果表明,来自传感器的信息足以识别已选择的材料。

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