基于双能X射线透射的区域分块废有色金属识别算法  

Zone Division Scrap Non-ferrous Metal Recognition Algorithm Based on Dual Energy X-ray Transmission

作　　者：黄河 叶文华[1] 熊田忠[1] 胡品龙 黄艰生 HUANG He;YE Wenhua;XIONG Tianzhong;HU Pinlong;HUANG Jiansheng(College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;Jiangsu Huahong Technology Stock Co.,Ltd., Jiangyin 214423, China)

机构地区：[1]南京航空航天大学机电学院,江苏南京210016 [2]江苏华宏科技股份有限公司,江苏江阴214423

出　　处：《机械制造与自动化》2019年第4期26-29,共4页Machine Building & Automation

基　　金：江苏省重点研发计划项目(BE2016758);江苏省科技成果转化专项资金项目(BA2014067)

摘　　要：在基于双能X射线透射技术的废有色金属分选中,可识别的物料厚度范围较小,无法满足废有色金属分选的需求。为解决该问题,对现有识别算法进行了分析,针对现有算法的不足,提出了一种基于低能透射信号值和双能R值双参数联合的区域分块废金属识别算法,提高了识别算法的适用厚度范围,并通过实验对算法的识别率进行了验证。The range of identifiable material thickness is small in the sorting process of waste non-ferrous metals based on dual- energy X-ray transmission technology, so it can not meet the demand. For this, this paper analyzes the existing recognition algorithms and proposes a zone division scrap metal recognition algorithm based on R and low energy transmission signal. The new algorithm can be used to increase the applicable thickness range and its accuracy is verified by experiments.

关 键 词：双能X射线 物质识别 废金属分选 区域分块 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]