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Analysis of containerized cargo in the ship container terminal

机译:船舶集装箱码头的集装箱货物分析

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The container scanning system based on the elemental analysis of suspect cargo by use of fast 14MeV neutrons with detection of associated alpha particle has been recently developed under the EU-FP6 "EURITRACK" project. The system is currently set-up in port of Rijeka, Croatia, to be tested and upgraded under the EU-JLS ERITR@PC project.rnHere we present results of analysis performed on 152 screened containers selected by the Croatian Custom and detail descriptive statistical analysis of their shipping manifests. Statistics such as distribution functions of container types, type of packages, type of cargos and average cargo densities were obtained in order to establish the properties of standard cargo traffic.rnThe analyses by using multivariate statistical approach that included principal component analysis (PCA) and between group analysis (BGA) have shown that cargo matrices can be classified as metallic (Fe, Al, Cu, Zn, Ni...), ceramic-glass (Si, O) and organic (C, O, N). In this paper the organic matrices have been analysed in more detail since they are identified as most difficult because of their potential interference with main elements contained in threat materials such as explosives or drugs. Density as a discriminating factor has been included for better recognition of different types of goods.
机译:在EU-FP6“ EURITRACK”项目下,最近开发了基于使用快速14MeV中子对可疑货物进行元素分析并检测相关α粒子的集装箱扫描系统。该系统目前在克罗地亚里耶卡港建立,将在EU-JLS ERITR @ PC项目下进行测试和升级。rn在此,我们介绍了对由克罗地亚海关选择的152个经过筛选的集装箱进行的分析结果以及详细的描述性统计分析他们的运输清单。为了确定标准货物运输的属性,获得了诸如集装箱类型,包装类型,货物类型和平均货物密度的分布函数之类的统计信息。rn使用多元统计方法进行的分析包括主成分分析(PCA)和组分析(BGA)显示,货物矩阵可分为金属(Fe,Al,Cu,Zn,Ni ...),陶瓷玻璃(Si,O)和有机(C,O,N)。在本文中,对有机基质进行了更详细的分析,因为它们被确定为最困难的,因为它们可能干扰包括在炸药或毒品等威胁材料中的主要元素。为了更好地识别不同类型的商品,已将密度作为区分因素。

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