Huazhong University of Science and Technology

Zhe Xiong

Hao Tang

Yi Wang

Song Hu

Jun Xu

Jun Xiang

Sheng Su

Mengxia Qing

Wei Liu

Jing Zhou

Long Jiang

Jiawei Liu

The present invention relates to a method for detecting moisture and volatile matter content in raw coal using the value of baseline drift, comprising the following steps: selecting a plurality of types of standard coal having different coal ranks and different ash contents, performing a Raman spectroscopy test and a proximate analysis on each type of standard coal, calculating the value of baseline drift in the Raman spectrum, and setting up the mapping relationship between the value of baseline drift in the Raman spectrum and the characteristic parameters of the moisture and the volatile matter content. The same method and reference are used to perform a Raman spectroscopy test on raw coal to be tested, so as to calculate the value of baseline drift in a Raman spectrum of the raw coal to be tested, and obtain the moisture and volatile matter content of the raw coal to be tested.

Method for detecting moisture and volatile matter content of raw coal by using value of baseline drift

A method for detecting coal quality, including: selecting a plurality of standard coals, acquiring Raman spectral characteristic parameters of each standard coal and characteristic parameters of coal quality components of each standard coal, calculating a mapping relationship between the Raman spectral characteristic parameters and the characteristic parameters of the coal quality components of each standard coal, to establish a relational database of the Raman spectral characteristic parameters and the characteristic parameters of the coal quality components; providing coal to be analyzed, conducting Raman spectroscopy on the coal to yield Raman spectrum of the coal, and performing curve-fitting calculation on the Raman spectrum of the coal to obtain Raman spectral characteristic parameters of the coal; and comparing the Raman spectral characteristic parameters of the coal with the Raman spectral characteristic parameters of the relational database.

Method for detecting coal quality using Raman spectroscopy

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Hubei, China

Zhe Xiong