Determination of surface moisture and particle size distribution of coal using online image processing

作者:
Choudhary P. , Maloo T. , Parida H. , Khatri P. , Deo B. , Chattopadhyay P.
作者单位:
IIT Bhubaneswar, School of Mechanical Sciences, Odisha, India , IIT Bhubaneswar, School of Minerals, Metallurgical and Materials Engineering, Odisha, India , Tata Steel Long Products Limited, Joda, Odisha, India
摘要:
Production of sponge iron requires iron ore, coal, and dolomite. The quality of sponge iron is affected by particle size variation and moisture content of the feed materials. In the present work, image processing was used to detect both particle size and moisture variation of the feed materials on an online basis. Noise and signal irregularities in images were removed by image analysis through MATLAB. Continuous (online, every 30 minutes) images were taken over a coal bed which was moving on a conveyor belt. It was a challenge to determine the particle size distribution and surface moisture of coal online. The distribution of reflectivity of coal in the image varied according to the moisture content and particle size. It affected the intensity information of the image which was then used to predict the surface moisture content of the coal. The method is now being used successfully in a processing plant.
语种:
EN,SR
来源期刊:
Journal of Mining and Metallurgy. Section A: Mining
出版商:
University of Belgrade, Technical Faculty Bor
年,卷(期):
2020;56(1):37-46