Research and Development of AI+Multisensor Coal Quality Rapid Detection Technology and Its Application
Abstract：Coal quality is the cornerstone of coal energy application, running through the entire process of development and utilization. Traditional sampling, preparation, and analysis methods involve three steps to determine more than ten coal quality indicators, with the results from 1 g of coal sample representing the quality of an entire train (approximately 4,320 tons) of coal. The entire process requires about 10 people and 10 sets of equipment working in coordination, taking as long as 24 hours, with high detection costs, significant risks of data distortion, and delayed feedback, which seriously affects the efficiency of coal washing, storage, transportation, and sales. Online non-destructive coal quality detection can improve the timeliness and representativeness of detection.
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Publication Date：2025-02-27
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 13-17 )