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Better sorting for better raw material and better recycling

机译:更好的分拣以获得更好的原材料和更好的回收利用

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摘要

Paper is the most recycled product in Europe, and Europe is the global champion in paper recycling with an average rate close to 69 % in 2011. The next commitment of the paper industry is to achieve a target rate of 70 % by 2015, and experts have estimated that the maximum recycling rate could even be 75 %. To achieve these goals, collection has to be increased, and the capabilities, opportunities and qualities of sorting must be improved. This is even more complicated than collection systems in Europe vary greatly from one country to another. A solution, to address this issue, is the development of new and improved measurement technologies for automatic recovered paper sorting. The challenge is to perform a better sorting, in order to ensure a better raw material quality, and, finally, a better recycling. CTP works on this subject for some time, through various projects, including a partnership with a French manufacturer of sorting machines, which is a world leader in this field. A sorting machine is conventionally composed of two parts: a "detection" part (by optical sensors) and an ?action / ejections part (by compressed air, for example). CTP has worked on optical sensors part, identifying and investigating innovative methods and approaches in order to determine the most efficient ones for the development of new sensors based systems for raw material characterisation. This paper presents the main methods retained (near UV fluorescence, visible image analysis, and especially Near Infra-Red spectroscopy) with their interests and possible applications for the sorting of recovered paper.
机译:纸张是欧洲回收利用最多的产品,欧洲是全球纸张回收利用的冠军,2011年的平均回收率接近69%。造纸行业的下一个承诺是到2015年实现70%的目标比率据估计最大回收率甚至可以达到75%。为了实现这些目标,必须增加收集量,并且必须提高分类的能力,机会和质量。这甚至比欧洲的收集系统在一个国家与另一个国家之间差异很大而更为复杂。解决此问题的一种解决方案是开发用于自动回收纸张分选的新的和改进的测量技术。挑战是进行更好的分选,以确保更好的原材料质量,并最终实现更好的回收利用。 CTP通过各种项目在这个问题上工作了一段时间,包括与法国分拣机制造商建立了合作伙伴关系,后者是该领域的世界领先者。分拣机通常由两部分组成:“检测”部分(通过光学传感器)和作用/排出部分(例如,通过压缩空气)。 CTP致力于光学传感器部分,确定和研究创新的方法和途径,以便确定最有效的方法和方法,以开发用于原材料表征的基于新传感器的系统。本文介绍了保留的主要方法(近紫外荧光,可见图像分析,尤其是近红外光谱),以及它们的兴趣及其在回收纸分类中的可能应用。

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