Quality assessment of primary crushing using hardware-software appliance ?GRANICS?

International Conference on Innovations and Prospects of Development of Mining Machinery and Electrical Engineering 2018

矿业工程;电工学

Kruglov, V.N.^1 ; Kruglov, A.V.^1

Ural Federal University, Mira Str., 19, Yekaterinburg

620002, Russia^1

关键词: Average errors;    Bulk materials;    Full-scale testing;    Grain size composition;    Image processing algorithm;    Maximum absolute error;    Particles detection;    Quality assessment;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/194/6/062014/pdf
DOI  :  10.1088/1755-1315/194/6/062014

来源: IOP

【 摘 要 】

A system for determining the grain size composition of particles of bulk material is described using the example of measurement the geometry of prills of crushed iron ore. The hardware and algorithm peculiarities are given. The stages of the image processing algorithm for crushed particles detection and analyzing are illustrated. The results of full-scale testing of the system at the ore mining and processing enterprise are analyzed. The maximum absolute error of the designed hardware-software appliance is 4.2% and the average error is 3% for the "+150mm" class which is of most importance for the given task of primary crushing quality control.