کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6672398 | 1427590 | 2018 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Isolating the impact of rock properties and operational settings on minerals processing performance: A data-driven approach
ترجمه فارسی عنوان
جداسازی اثر خواص سنگ و تنظیمات عملیاتی بر عملکرد پردازش مواد معدنی: رویکرد مبتنی بر داده ها
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کلمات کلیدی
داده کاوی، معدن فرایند، تجزیه و تحلیل سریال، سیستم های پشتیبانی تصمیم، فراگیری ماشین،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
مهندسی شیمی (عمومی)
چکیده انگلیسی
Mining operations record a large amount of data from multiple sources (such as block model and online processing data) which is neither effectively nor systematically used to understand and improve operational performance. This paper proposes a generic semi-automatable data analytics method, the Integrated Analysis Method (IAM), that addresses the disconnection between disparate datasets. IAM enables evidence-based understanding of rock and machine parameters, laying the foundation for a potentially more sophisticated way to model and predict mining processes to deliver financial value. IAM systematically combines and analyses both rock characteristics and operational data to isolate the impact of the variability in rock characteristics and operational settings on key performances. Insights extracted from IAM allow one to narrow down key operating conditions, specific to a particular plant, that are correlated to, for example, significant differences in daily throughput while processing batches of ore with similar metallurgical characteristics. Such insights can be used for multiple purposes, for instance, to learn optimal processing recipes for a given set of rock properties. We applied IAM to a combined data set recorded at a Chilean ore deposit and evaluated our findings with domain experts.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Minerals Engineering - Volume 122, 15 June 2018, Pages 53-66
Journal: Minerals Engineering - Volume 122, 15 June 2018, Pages 53-66
نویسندگان
Suriadi Suriadi, Sander J.J. Leemans, Cristián Carrasco, Luke Keeney, Patrick Walters, Kevin Burrage, Arthur H.M. ter Hofstede, Moe T. Wynn,