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数字化自动煤岩分析技术的开发 被引量:14
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作者 胡德生 王文韬 刘其真 《钢铁》 CAS CSCD 北大核心 2005年第7期17-21,共5页
多学科合作开发了数字化自动煤岩分析技术,采用高精度和可改变曝光时间数码摄像头,扩展了灰度级,提高了反射率测定精度。利用所获高分辩率显微图像,采用图像识别技术,实现煤岩组分的自动识别分类。结合自动扫描、自动聚焦,实现了煤岩特... 多学科合作开发了数字化自动煤岩分析技术,采用高精度和可改变曝光时间数码摄像头,扩展了灰度级,提高了反射率测定精度。利用所获高分辩率显微图像,采用图像识别技术,实现煤岩组分的自动识别分类。结合自动扫描、自动聚焦,实现了煤岩特性的自动快速分析。克服了显微光度计速度慢和图像分析仪精度低的不足,继承了显微光度计精度高和图像分析仪测定速度快的优点,使得测定结果准确、可靠。 展开更多
关键词 煤岩组分 反射率 分析技术 自动化 数字化
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宝钢数字化自动煤岩分析技术 被引量:4
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作者 胡德生 王文韬 刘其真 《炼铁》 北大核心 2005年第B09期150-154,共5页
多学科合作开发的数字化自动煤岩分析技术,采用高精度和可改变曝光时间数码摄像头,扩展了灰度级, 提高了反射率测定精度。利用所获高分辩率显微图像,采用图像识别技术,实现煤岩组分的自动识别分类。结合自动扫描、自动聚焦,实现了煤岩... 多学科合作开发的数字化自动煤岩分析技术,采用高精度和可改变曝光时间数码摄像头,扩展了灰度级, 提高了反射率测定精度。利用所获高分辩率显微图像,采用图像识别技术,实现煤岩组分的自动识别分类。结合自动扫描、自动聚焦,实现了煤岩特性的自动快速分析。克服了显微光度计速度慢和图像分析仪精度低的不足,继承了显微光度计精度高和图像分析仪的测定速度快的优点,使得测定结果准确、可靠。实现了煤岩特性测定的数字化和自动化,速度快、劳动强度低,操作人员不要经过专业培训。 展开更多
关键词 煤岩组分 反射率 分析技术 自动化 数字化 自动扫描 图像分析仪 显微光度计 宝钢 图像识别技术
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Optimization of Baosteel's digital automatic analysis technique for maceral specification
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作者 SUN Weizhou HU Desheng ZOU Danping 《Baosteel Technical Research》 CAS 2013年第2期26-29,共4页
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 oth... 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. 展开更多
关键词 analysis technique for maceral specification DIGITAL IMPROVEMENT
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