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Hyperspectral imaging based procedures applied to bottom ash characterization

机译:基于高光谱成像的程序应用于底灰表征

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Bottom ash from Municipal Solid Waste Incinerators (MSWIs) is mainly land filled or used as material for the foundation of road in European countries. Bottom ash is usually first crushed to below 40 mm and separated magnetically to recover the steel scrap. The remaining material contains predominantly sand, sinters and pieces of stone, glass and ceramics, which could be used as building material if strict technical and environmental requirements are respected. The main problem is the presence of residual organic matter in the ash and the large surface area presented by the fine fraction that creates leaching values, for elements such as copper, that are above the accepted levels for standard building materials. Main aim of the study was to evaluate the possibility offered by hyperspectral imaging to identify organic matter inside the residues in order to develop control/selection strategies to be implemented inside the bottom ash recycling plant. Reflectance spectra of selected bottom ash samples have been acquired in the VIS-NIR field (400-1000 nm). Results showed as the organic content of the different samples influences the spectral signatures, in particular an inverse correlation between reflectance level and organic matter content was found.
机译:来自城市固体废物焚化炉(MSWI)的底灰主要被填埋或用作欧洲国家道路基础的材料。通常首先将底灰粉碎至40毫米以下,然后磁力分离以回收废钢。剩余的材料主要包含沙子,烧结矿以及石头,玻璃和陶瓷碎片,如果遵守严格的技术和环境要求,它们可以用作建筑材料。主要问题是灰烬中存在残留的有机物,细颗粒所占的表面积很大,细颗粒会产生诸如铜等元素的浸出值,这些浸出值高于标准建筑材料的可接受水平。该研究的主要目的是评估高光谱成像提供的识别残留物内部有机物的可能性,以便开发出控制/选择策略,以在底灰回收工厂内实施。选定的底灰样品的反射光谱已在VIS-NIR场(400-1000 nm)中获得。结果表明,不同样品的有机物含量会影响光谱特征,特别是反射率水平与有机物含量之间呈负相关。

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