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Optimization of loading and hauling operations in surface mining
Published in Y.J. Wang, R. Larry Grayson, Richard L. Sanford, Use of Computers in the Coal Industry, 2020
Computer simulation of surface mine materials handling systems has been going on for nearly two decades. During this period considerable progress has been made in developing software which is increasingly more compatible, both with the mine operator’s needs and with on-going developments in hardware (1,2,3,4). Recently some major projects have been undertaken in this area: for example, the Pennsylvania State University’s Open-Pit Material Handling Simulator (OPMHS) (5), the Bonner and Moore Surface Mining Simulator System (SMSS) (6) and the Queen’s University’s PITSIM-II Interactive Shovel and Truck Simulation Model (7,8). Such developments have satisfied some of the users but more importantly have provided an impetus to further enhancing the existing systems and to develop new ones (9).
A Step Change in Mining Productivity
Published in Sheila Devasahayam, Kim Dowling, Manoj K. Mahapatra, Sustainability in the Mineral and Energy Sectors, 2016
Joe Pease, Stephen Walters, Luke Keeney, Greg Shapland
IES is a mining simulator that integrates all mining and mineral processing activities starting from drill and blast, through loading, hauling, stockpiling, blending, crushing, and grinding and processing. It allows multiple ore types to be considered from the block model to product, and allows for the interaction between those steps. For example, IES allows operators to assess future ore sources for the effect that changes in blasting will have on grinding and how this will impact flotation. Therefore, it can be used to assess changes in the design, layout, and operating steps to optimize metal production and environmental footprint. It provides a model development environment that allows the user to access or input models that suit their specific equipment.
A remote VR operation system for a fully mechanised coal-mining face using real-time data and collaborative network technology
Published in Mining Technology, 2018
Jiacheng Xie, Zhaojian Yang, Xuewen Wang, Yiliang Wang
A VR coal-mining simulator allows miners to make decisions and learn from their errors (Stothard 2003; Stothard and Laurence 2014). Stothard et al. (2015) developed a mining classification method and simulated the mining process. HMD and field of vision (FOV) were used to conduct VR exercises for miners (Grabowski and Jankowski 2015). An interactive mining and engineering visualisation environment, which was based on simulation data, was used in an open magnesite pit (Kijonka and Kodym 2012; Akkoyun and Careddu 2015; Akkoyun 2017). Many types of virtual mining models that included a shearer, a scraper conveyor and hydraulic support were modelled and the entire process and techniques of fully mechanised coal-mining face was simulated (Zhang et al. 2011; Wan et al. 2013; Xie et al. 2015; Li et al. 2015).