γ射线反散射灰分仪测量精度优化方法研究

Research on Method to Optimize Accuracy of γ-ray Backscatter Ash Analyzer

γ射线反散射灰分仪的测量精度受煤炭灰分成分的变化影响很大,现有的方法主要是在测量偏差较大的情况下重新对灰分仪进行标定,其灰分值测量范围窄,精度较低,操作过程繁琐.本文从γ射线反散射灰分仪的工作原理出发,分析了灰分中主要矿物成分的变化对灰分测量精度的影响,建立了基于双低能γ射线测量的校正模型,提高了测量精度,实现了灰分仪的软件自动处理.检验结果表明,采用本文研究的校正模型,γ射线反散射灰分仪克服了现有的缺陷,灰分值测量误差满足EJ/T1078-1998所规定的γ辐射煤炭灰分探测仪的测量精度指标.

Measurement accuracy of γ-ray backscatter ash analyzer is greatly affected by the changes in the composition of the coal ash. In current ash analyzer, calibration is underway anew when measurement error is comparatively large, with a narrow measurement range, low accuracy and complicated operation. In this paper, the impact of changes in the composition of the ash on the accuracy of ash analyzer was analyzed from the working principle of γ-ray backscatter ash analyzer. A calibration model based on the dual low energy γ ray measurement was established,which can improve the measurement accuracy and can be achieved automatically on software. The calibration model was then used on a γ-ray backscatter ash analyzer, and the test results show that the existing deficiencies are overcome with an measurement error of less than 1%,meeting the required measurement accuracy of EJ/T1078-1998 γ- ray coal ash analyzer.