Coal Age

APR 2017

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26 April 2017 haulage & loading 2017 preview continued can now meet or exceed the capability of modern AC haul trucks. An all-new, open and flexible industry standard control package makes troubleshooting and diagnostics simple and streamlined. Advanced traction control with a virtual limited slip rear differential greatly improves truck tracking in slippery haul road conditions. Hooman Askari-Nasab will present: Mine Haulage Simula- tion: A Tool Towards Managing Uncertainty. An extraction simu- lation operational planning tool with Excel input/output inter- face and automated reporting has been developed, validated and used as part of the short-range planning of a large-scale oil sands open pit operation in Canada. The simulation tool takes the mine production schedule as an input and imitates the truck-shovel haulage-systems and its interaction with the extraction plant in- cluding crushers and downstream assets. The simulation tool ac- curately reported the major system's KPIs at 95% level of statistical confidence within 3% accuracy of the historical dispatch data for the project. Major KPIs reported by the automated output report- ing system are: ore and waste production, queue time, spot time, load time, dipper tonnage, haul time, dump time, truck speeds, backup time, loading cycle time, head grade, time and number of trucks in queue, and truck-and-shovel operational KPIs. The sim- ulation tool gives the planner capability to assess the impact of changing operational scenarios such as stockpiling, different sizes of mixed-fleet trucks, and introduction of new haul-roads into the mine plan. Normalized results of the project will be presented. In Can 'Big Data' Answer the Big Question: How Do My Haul Roads Perform?, Roger Thompson, Professor of Mining Engineer- ing, Curtin University, Western Australian School of Mines, will put a modern twist on haul roads. Much has been made recent- ly about the potential of Big Data to transform mining and how to capture, evaluate and share this information with those deci- sion makers that value the data. While the amount of data avail- able from mining operations and equipment is increasing, only a fraction of its full value is currently being extracted and used. For most operations, fleet management systems now record truck fleet load, haul, dump and travel times while on-board systems record engine operating and drive information — and more com- monly these days, metrics of the truck response to the road. In truck haulage, cycle times can vary as a result of many fac- tors, not the least of which is the road condition itself. While we may see, over time, an increase in cycles times, it's often harder to explain the source of that increase — especially if and when it is related to road deterioration as opposed to simply the geometrics of the haul itself. One critical measure of truck performance and associated cy- cle time is based on the effect of road rolling resistance — especially the impact of increased rolling resistance on cycle times and unit costs. But can a measure of this effect be extracted directly from ex- isting Big Data and used to inform road management strategies? This presentation examines the extent to which on-board data can be used to replicate the speed-rimpull-gradeability char- Technical Program Outline-Haulage & Loading 2017 Session I: Improving Operations (May 8, 8:30-11:00) Optimizing Slope Angles with Controlled Blasting, Slope Monitoring and Good Communication By Keith Taylor, Senior, Geotechnical Engineer, Freeport-McMoRan Is Bigger Still Better? Considerations for Increasing the Size of Haulage Equipment By M. Dotto, T.G. Joseph, M. Curley The Critical Link Between Loader Productivity, Operator Performance and Mining Costs By Andrew Jessett, CEO, MineWare Imrpoving Truck-and-Shovel Utilization with a Surge Feeder By David Pitchford, President, MMD Mineral Sizing (America) Session II: Haulage Strategies (May 8, 1:00-3:00) Bringing New Life to DC Haul Trucks with an AC Retrofit Package By Ben Balbach, Heavy Industry and Power Systems Manager, Flanders Mine Haulage Simulation: A Tool Towards Managing Uncertainty By Hooman Askari-Nasab, Mohammad Tabesh, and Shiv Upadhyay Can 'Big Data' Answer the Big Question: How Do My Haul Roads Perform? By Roger Thompson, Professor of Mining Engineering, Curtin University, Western Australia School of Mines Electromobility Solutions for Modern Haul Trucks By Daniel Robertson, Business Manager for Mobile Mining Equipment, North America, Siemens Session III: Fleet Management (May 9, 8:30-11:00) Innovative Information Mining: Fleet Optimization By Lia Walker, Quality Leader II, Freeport-McMoRan How Big is Too Big? By Craig Griffiths, Manager Customer Solutions, Volvo Construction Equipment Turning Erdenet's Data into Dollars By Job Del Rosario, Business Solutions Manager, Micromine Americas Adopting a People, Process and Technology Strategy to Drive Sustainable Workforce Optimization By Adam Norris, Regional Manager - North America, Immersive Technologies Session IV: Safety & Training (May 9, 1:00-2:30) Coordinated Operator Training By Graham Upton, Director of Business Development, Doron Precision Systems Improving Ingress/Egress Systems on Mobile Equipment By William L Porter & Jonisha P Pollard; National Institute for Occupational Safety and Health (NIOSH), Pittsburgh Mining Research Division Human Fatigue & Impairment – Predicting, Detecting & Mitigating By Josh Savit, Senior Manager, Predictive Safety Session V: Loading Techniques (May 10, 8:00-10:00 a.m.) Hydraulic Excavator vs. Rope Shovel Performance By Rodion Andreev, Tim Joseph, John Sammut, and Mark Curley The Use of Lighting Technology on Mobile Equipment By Tom Feldhusen, Senior Sales Manager, Phoenix Lighting Shovel-Based Fragmentation Analysis of ROM to Improve Blast Planning By Tom BoBo, Director of Technical Sales & Marketing, Split Engineering Shovel Control Advancements By John Burant, Vice President Global Business Development, Flanders

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