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Baosteel developed a digital automatic analysis technique for maceral specification in 2002.This analysis system combines digital image processing,graphics,databases,expert systems,artificial intelligence and other advanced technologies.After 6 years of application in coke production,the system proved itself successful in coal quality testing and coal blending guidance on maceral.However,during this long process,some inadequacies were found that impacted the precision and accuracy of the analysis.So,in 2008 Baosteel began to work on improving the coal maceral analysis system. The improvements included the following:further upgrading and enhancing the analysis performance of microscopic images;extending the gray levels to increase the reflectance measurement accuracy 64 times;changing the focus method and effectively eliminating the interference of halo.In addition,an improved image recognition method was adopted to make the extraction of vitrinite more accurate and a new model of coal constituent algorithm was added which can accurately determine the composition of maceral(exinite,vitrinite,inertinite).Since these improvements were completed, the system has achieved higher automation,speed and accuracy,collected more information and performed more accurate maceral analysis for coke production.Meanwhile,the improved system has provided a reliable analytical basis for the further study on the relationship between coke quality and coal blending.
Baosteel developed a digital automatic analysis technique for maceral specification in 2002. This analysis system combines digital image processing, graphics, databases, expert systems, artificial intelligence and other advanced technologies. After 6 years of application in coke production, the system demonstrated itself successful in coal quality testing and coal blending guidance on maceral. However during this long process, some inadequacies were found that impacted the precision and accuracy of the analysis. So, in 2008 Baosteel began to work on improving the coal maceral analysis system. the following: further upgrading and enhancing the analysis performance of microscopic images; extending the gray levels to increase the reflectance measurement accuracy 64 times; changing the focus method and effectively eliminating the interference of halo.In addition, an improved image recognition method was adopted to make the extraction of vitrinite more accurate and a new model of coal constituent algorithm was added which can accurately determine the composition of maceral (exinite, vitrinite, inertinite) .inceince these improvements were completed, the system has achieved higher automation, speed and accuracy, collected more information and performed more accurate maceral analysis for coke production. Meanwhile, the improved system has provided a reliable analytical basis for the further study on the relationship between coke quality and coal blending.