Coal quality analysis method considering uncertainty of laser-induced breakdown spectroscopy

• Main Authors: YAO SHUNCHUN, LU ZHIMIN, QIN HUAIQING
• Format: Patent
• Language: Chinese; English
• Published: 21.04.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; PHYSICS; TESTING

The invention relates to a coal quality analysis method considering uncertainty of laser-induced breakdown spectroscopy. The method comprises the following steps: averagely dividing a plurality of original spectrums of each coal sample into a plurality of groups, carrying out intra-group averaging, obtaining a plurality of average spectrums corresponding to each coal sample, establishing a quantitative coal quality analysis model by using the average spectra based on a multivariable analysis method, and analyzing coal quality indexes. According to the method, the uncertainty of LIBS data can be effectively represented; even if LIBS data of the same coal sample fluctuates within a certain range, the method can still accurately calculate the corresponding coal quality index value, so that excessive elimination of data fluctuation caused by overall averaging is avoided, the influence on quantitative analysis of coal quality is eliminated, and the accuracy of coal quality analysis is improved. 本发明涉及一种考虑激光诱导击穿光谱不确