The identification of coal and gangue and the prediction of the degree of coal metamorphism based on the EDXRD principle and the PSO-SVM model
Lei He 1
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School of Mechanical Engineering, Anhui University of Science and Technology, China
Yanqiu Zhao   

School of Mechanical Engineering, Anhui University of Science and Technology, China
Submission date: 2022-03-30
Final revision date: 2022-05-06
Acceptance date: 2022-05-23
Publication date: 2022-06-28
Gospodarka Surowcami Mineralnymi – Mineral Resources Management 2022;38(2):113–129
In order to improve the utilization rate of coal resources, it is necessary to classify coal and gangue, but the classification of coal is particularly important. Nevertheless, the current coal and gangue sorting technology mainly focus on the identification of coal and gangue, and no in-depth research has been carried out on the identification of coal species. Accordingly, in order to preliminary screen coal types, this paper proposed a method to predict the coal metamorphic degree while identifying coal and gangue based on Energy Dispersive X-Ray Diffraction (EDXRD) principle with 1/3 coking coal, gas coal, and gangue from Huainan mine, China as the research object. Differences in the phase composition of 1/3 coking coal, gas coal, and gangue were analyzed by combining the EDXRD patterns with the Angle Dispersive X-Ray Diffraction (ADXRD) patterns. The calculation method for characterizing the metamorphism degree of coal by EDXRD patterns was investigated, and then a PSO-SVM model for the classification of coal and gangue and the prediction of coal metamorphism degree was developed. Based on the results, it is shown that by embedding the calculation method of coal metamorphism degree into the coal and gangue identification model, the PSO-SVM model can identify coal and gangue and also output the metamorphism degree of coal, which in turn achieves the purpose of preliminary screening of coal types. As such, the method provides a new way of thinking and theoretical reference for coal and gangue identification.
The authors declare that they have no conflict of interest. This work was supported by the National Natural Science Foundation of China under Grant (No. 51904007), in part by Collaborative Innovation Project of Colleges and Universities of Anhui Province (No. GXXT-2020-054, GXXT-2021-076), in part by the Anhui Natural Science Foundation Project under Grant (No. 1908085QE227), in part by Graduate Innovation Fund of Anhui University of Science and Technology under Grant (No. 2021CX1008). The authors are very grateful for this generous support.
Identyfikacja węgla i skały płonnej oraz prognozowanie stopnia metamorfizmu węgla w oparciu o zasadę EDXRD i model PSO-SVM
identyfikacja węgla i skały płonnej, dyfrakcja rentgenowska, dyspersja energii, stopień metamorfizmu, PSO-SVM
W celu poprawy stopnia wykorzystania zasobów węgla konieczna jest klasyfikacja węgla i skały płonnej, ale to klasyfikacja węgla jest szczególnie ważna. Niemniej jednak obecna technologia separacji węgla i skały płonnej koncentruje się głównie na identyfikacji węgla i skały płonnej, ale nie przeprowadzono dogłębnych badań dotyczących identyfikacji gatunków węgla. W związku z tym, w celu wstępnego przesiewu rodzajów węgla, w niniejszym artykule zaproponowano metodę przewidywania stopnia metamorfizmu węgla przy identyfikacji węgla i skały płonnej w oparciu o zasadę dyfrakcji rentgenowskiej z dyspersją energii (EDXRD) z 1/3 węglem koksującym, węglem gazowym i skałą płonną z kopalni Huainan w Chinach jako obiektem badawczym. Różnice w składzie fazowym 1/3 węgla koksowego, węgla gazowego i skały płonnej analizowano przez połączenie wzorców EDXRD z wzorcami dyfrakcji rentgenowskiej z dyspersją kątową (ADXRD). Zbadano metodę obliczeniową charakteryzującą stopień metamorfizmu węgla za pomocą wzorców EDXRD, a następnie opracowano model PSO-SVM do klasyfikacji węgla i skały płonnej oraz przewidywania stopnia metamorfizmu węgla. Na podstawie uzyskanych wyników wykazano, że poprzez wbudowanie metody obliczania stopnia metamorfizmu węgla w model identyfikacji węgla i skały płonnej, model PSO-SVM może identyfikować węgiel i skałę płonną, a także wyprowadzać stopień metamorfizmu węgla, co z kolei spełnia cel wstępnego przesiewania rodzajów węgla. Jako taka, metoda ta zapewnia nowy sposób myślenia i teoretyczne odniesienie do identyfikacji węgla i skał płonnych.
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