Application of the PGNAA multi-element online detection technique in coal preparation plant
Online detection of mineral elements contained in coal provides a crucial data support for realizing control of ash of products with feedback ash data.Following an introduction to and comparison of the XRF,LIBS and PGNAA techniques for online detection of mineral constituents contained in coal,the paper goes to elaborate on the working principle,make-up and structural design of the PGNAA online muti-element detection technique and particularly the effects obtained in field application of this technique in mine and central coal pre-paration plants,as well as the comparison of the actually measured and analysis data.Practice shows that under varying operating conditions and quality requirements of products,compared with the analytical data,the stand-ard deviation of the ash values actually measured with the PGNAA technique can be controlled within 0.15％,with a correlation coefficient being over 0.91;and for the detection of total sulfur and Fe2O3,the standard devi-ations and correlation coefficients are 0.032％and 0.995,0.025％and 0.950,respectively.It can be seen that the actually measured ash,total sulfur and Fe2O3 data are in good agreement with the analytical data.With the ongo-ing development of intelligent coal preparation plants,an ever stricter requirement is placed online coal analysis units.Looking ahead,the high-accuracy and high-adaptability PGNAA technology will play an ever bigger role in raw coal homogenization,separation control,accurate coal blending and rapid determination of quality of de-livered commercial coal.
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