CAJ | 학술논문

在综合分析了碎矿复杂特性的基础上,合理运用图像分析与模式识别技术实现了传送带矿石的在线体积建模及粒径分布计算,研发了基于图像的原矿碎石粒度检测与分析系统。系统于2010于应用于山东黄金集团焦家金矿,通过采样分析并与破碎车间细碎入料产品的6个粒级做筛分对比,累积率误差小于5%,证明该系统能够真实反映矿石的实际粒度分布,为提升现场工艺参数提供参考,具有较强的实用价值。
재종합분석료쇄광복잡특성적기출상,합리운용도상분석여모식식별기술실현료전송대광석적재선체적건모급립경분포계산,연발료기우도상적원광쇄석립도검측여분석계통。계통우2010우응용우산동황금집단초가금광,통과채양분석병여파쇄차간세쇄입료산품적6개립급주사분대비,루적솔오차소우5%,증명해계통능구진실반영광석적실제립도분포,위제승현장공예삼수제공삼고,구유교강적실용개치。
Based on a comprehensive analysis of the complex nature of the crushed ores, and using the technology of both image analysis and pattern recognition, online volume modeling and size distribution calculations are accomplished, the image-based volume modeling and particle size analysis system is developed. The system is used in Jiaojia Gold Ore of Shandong Gold Group Co. , Ltd. in 2010. Sam- piing screening results by contrast with 6 groups finely feed products in crushing plant show that the er- ror rate is less than 5%. It is feasible that the image system can truly reflect the actual size distribu- tion, which may replace the traditional manual sample screening. Our work can provide reference ad- vice to enhance the engineer parameters with a well practical value.