Open AccessA REAL TIME COAL CONTENT ORE GRADE (C2OG) SENSOR
Author(s) -
Rand Swanson
Publication year - 2002
Language(s) - English
Resource type - Reports
DOI - 10.2172/802848
Subject(s) - coal , sample (material) , sampling (signal processing) , computer science , software , work (physics) , process engineering , data collection , engineering , waste management , operating system , telecommunications , mechanical engineering , detector , statistics , chemistry , chromatography , mathematics
This fourth quarterly technical report discusses the progress made on a machine vision technique for determining coal content and ore grades. Work done this quarter has been primarily devoted to improving the apparatus and data collection system. This includes a totally new optical setup, continued development of a new imaging spectrometer, and software improvements. Additionally, interest from other mining operations has arisen and sample of titanium and talc have now been obtained for preliminary analysis. Work is ongoing with coal samples, although it appears a more diverse sampling may be required. With the improvements now being made in the system, much faster and more user-friendly data collection and analysis will result in faster and better turn-around for sample analysis