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针对白云鄂博矿Nb元素识别的全数字化EDXRF仿真

发布时间:2018-11-11 11:21
【摘要】:铌元素是我国诸多行业的战略性元素,但目前铌元素过分依赖进口,究其主要原因是国内的铌矿品位过低,批量开采经济效益低下,同时化学分选对环境造成了严重的不可逆破坏。为了从源头提高铌矿的品位,设计了一种全新的X射线荧光信号处理方法,从而更加适用于快速地识别矿石中的铌元素含量,单块配制样品在0.05~0.5 s的时间内即可检测出铌元素的含量。并且解决了传统荧光仪利用模拟系统进行信号处理,而过分依赖电阻与电容导致的稳定性,可重复性差、吞吐量低、弹道亏损严重、基线偏移较大等问题。提出一种运用全数字化方式进行信号处理的思路,将荧光探测器发出的信号首先进行数字化,保证信号的完整性,通过对数字信号进行滤波、微分与量化等处理,可以得到准确的谱线信号。通过对成分及含量已知的样品进行测试,证明结果准确,各项指标得到优化。
[Abstract]:Niobium is a strategic element in many industries in China, but at present, niobium is too dependent on imports, which is mainly due to the low grade of niobium ore in China and the low economic benefit of batch mining. At the same time, chemical sorting has caused serious irreversible damage to the environment. In order to improve the grade of niobium ore from the source, a new method of X-ray fluorescence signal processing is designed, which is more suitable for quickly identifying the content of niobium in ore. The content of niobium can be detected in the time of 0. 05 ~ 0. 5 s. The problems such as poor repeatability, low throughput, serious trajectory deficit and large baseline deviation caused by over-reliance on resistance and capacitance are solved. In this paper, a new method of signal processing is presented, in which the signal sent by the fluorescence detector is digitized first to ensure the integrity of the signal, and the digital signal is processed by filtering, differentiating and quantizing, etc. Accurate line signals can be obtained. By testing the samples with known components and contents, it is proved that the results are accurate and the indexes are optimized.
【作者单位】: 内蒙古科技大学信息工程学院;内蒙古白云鄂博矿多金属资源综合利用重点实验室;
【基金】:内蒙古地区特别重大自然科学技术基金(41402060901)
【分类号】:O434.19;TD865


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