Case-based reasoning system for prediction of fuel consumption by haulage trucks in open-pit mines
نویسندگان
چکیده
The shovel-truck system is commonly used in open-pit mining operations. Truck haulage cost constitutes about 26% of costs as the trucks are mostly powered by diesel whose escalating annually. Therefore, reducing fuel consumption could lead to a significant decrease overall costs. Various methods have been proposed improve efficiency mines. Case-based reasoning (CBR) can be estimate trucks. In this work, CBR namely case-based using forward sequential selection (CBR-FSS), traditional CBR, and Naïve techniques were predict operating at Orapa Mine. results show that method mines; predicted values CBR-FSS technique gave much lower absolute residual values, higher standardised accuracy effect sizes than those other prediction on all datasets used. will enable mine planners know consumed per trip allow them take mitigation measures with high consumption.
منابع مشابه
Multi-Criteria Evaluation and Least Cost Path Analysis for Optimal Haulage Routing in Open-Pit Mines
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ژورنال
عنوان ژورنال: International Journal of Power Electronics and Drive Systems
سال: 2021
ISSN: ['2722-2578', '2722-256X']
DOI: https://doi.org/10.11591/ijece.v11i4.pp3129-3136