双能X射线识别金属物料的R值曲线拟合算法  

R-value Curve Fitting Algorithm for Metal Materials' Identification Based on Dual Energy X-ray Technology

作　　者：毛冬辉 叶文华[1] 熊田忠[1] 王祺奥 顾瑞华[2] 

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》2017年第5期160-162,166,共4页Machine Building & Automation

摘　　要：双能X射线透射技术可以识别物料的种类,是一种能够用于回收废金属资源的新方法。虽然这项技术在安检行业中已经有了广泛的应用,但是其中常用的R值算法受物质厚度的影响较大,并且识别的物料形式也不相同,应用于回收废金属资源时有待改进。在分析R值算法的基础上,提出了一种R值曲线拟合识别算法,并通过实验验证了该方法识别铝和铜类的金属物料的有效性。Dual energy X-ray transmission separation technology can be used to identify the type of materials.It can be applied to recycling scrap metal.It is widely used in safety check.However,the thickness of the materials has great influence on the R-value algorithm which is commonly used in this technology and the forms of the materials＇ identification is different.So,it is necessary to improve the technology for scrap metal recovery.In this paper,the R-value curve fitting algorithm is put forward based on the R-value algorithm,and the experiments are made to prove the validity of the proposed method.

关 键 词：双能X射线 物质识别 废金属分选 曲线拟合 

分 类 号：TP274.5[自动化与计算机技术—检测技术与自动化装置]