背景:煤中的脉石含量严重影响其燃烧产生的热值。在实际应用中,煤中的煤矸石需要完全分离。伪双能X射线法的分选精度不高。
目的:本研究旨在提出一种基于CdZnTe光子计数探测器的新型多维煤矸石X射线分选算法,以解决X射线对煤矸石分选的问题。
方法:此完整算法包括五个步骤:(1)首选能量箱,(2)透光率排序,(3)一维R值排序,(4)二维R值排序,和(5)三维R值排序。每一步的输出范围由来自65组煤和煤矸石的先验信息确定。另外使用110组煤和煤矸石进行实验以验证算法的准确性。
结果:与伪双能方法的60%排序精度相比,新算法的排序准确率达到99%。
结论:研究结果证明了这种新算法的优越性及其在实际应用中的可行性。这种新颖的算法可以指导基于光子计数探测器的其他两种物质X射线分选应用。
UNASSIGNED: The gangue content in coal seriously affects the calorific value produced by its combustion. In practical applications, gangue in coal needs to be completely separated. The pseudo-dual-energy X-ray method does not have high sorting accuracy.
UNASSIGNED: This study aims to propose a novel multi-dimensional coal and gangue X-ray sorting algorithm based on CdZnTe photon counting detectors to solve the problem of coal and gangue sorting by X-ray.
UNASSIGNED: This complete algorithm includes five steps: (1) Preferred energy bins, (2) transmittance sorting, (3) one-dimensional R-value sorting, (4) two-dimensional R-value sorting, and (5) three-dimensional R-value sorting. The output range of each step is determined by prior information from 65 groups of coal and gangue. An additional 110 groups of coal and gangue are employed experimentally to validate the algorithm\'s accuracy.
UNASSIGNED: Compared with the 60% sorting accuracy of the Pseudo-dual-energy method, the new algorithm reached a sorting accuracy of 99%.
UNASSIGNED: Study results demonstrate the superiority of this novel algorithm and its feasibility in practical applications. This novel algorithm can guide other two-substance X-ray sorting applications based on photon counting detectors.