Rio Tinto Plc · LSE:RIO
Rio Tinto — Internet of Things World Forum 2014
21 slides from Rio Tinto's conference presentation, October 2014
Slide 1: Internet of Things World Forum
Internet of Things World Forum Chicago John McGagh – Head of Innovation October 2014
Slide 2: About this presentation
October 2014 2 About this presentation I will address three points during our time together: 1 Our world 2 Connectivity 3 Our internet of “big” things ©2014, Rio Tinto, All Rights Reserved
Slide 3: Who are we? A journey from 1873 to 2014
October 2014 3 Who are we? A journey from 1873 to 2014 From To ©2014, Rio Tinto, All Rights Reserved
Slide 4: Mining is physical, it is connected to "places"
October 2014 4 Mining is physical, it is connected to “places” Mining is a physical activity, the ore bodies cannot be moved. This drives a locally focused self-sustaining management culture that has been very successful over time. Large mines trigger significant parallel development through towns,
Slide 5: Technology enablers reduce geographic boundaries
October 2014 5 Technology enablers reduce geographic boundaries Power & cost of computer chips Cost & capacity of data storage Cloud-based systems Interconnectivity & cloud systems Proliferation of sensors Sophisticated are interconnecting mathematics is being “everything”, the developed to interpre
Slide 6: Stepping out – our location experiences
October 2014 6 Stepping out – our location experiences 2009 – regional 2014 - global Western Australia, the world’s Integrated global multi first and largest integrated Iron commodity Processing Ore operations centre Collaboration Excellence Centre Skills leverage Productivity Value add Exploit Big
Slide 7: Snapshot – remote operations and autonomy
October 2014 7 Snapshot – remote operations and autonomy ©2014, Rio Tinto, All Rights Reserved
Slide 8: Rio Tinto and Autonomous Haulage (today*)
September 2014 8 Rio Tinto and Autonomous Haulage (today*) We own and operate the world’s largest autonomous haulage fleet operating in full production mode on three x58 mine sites Our autonomous fleets have covered ~3,900,000km hauling material in our operations (x 5 trips to moon x5 and back) We h
Slide 9: Two worlds - fixed and mobile infrastructure
October 2014 9 Two worlds - fixed and mobile infrastructure Mining – Mobile Concentration – Fixed ©2014, Rio Tinto, All Rights Reserved
Slide 10: Fixed infrastructure, connected sensors
October 2014 10 Fixed infrastructure, connected sensors Concentration Fixed infrastructure Significant capital investment Low levels of uncertainty Well instrumented Processes reacting to changes in mineral feed driven by geology Significant theoretical process models developed by academia over deca
Slide 11: Mobile infrastructure, machines are sensors
October 2014 11 Mobile infrastructure, machines are sensors Mining Mobile infrastructure Individual operating units High levels of uncertainty Machines individually instrumented Equipment used on board the machine Operating within a constantly changing geographic/geologic landscape ©2014, Rio Tinto,
Slide 12: Value, frequency and use of information
October 2014 12 Value, frequency and use of information Typical plant High Typical mine Future mines Relative information value for decisions Low s min hr d m y The information required to make the “correct” decision Information time scale has a significant time driven value component ©2014, Rio Tin
Slide 13: Mines look simple - how hard can this be?
October 2014 13 Mines look simple - how hard can this be? Grab the (sensor) data Turn into information Improve shorter-term decisions ©2014, Rio Tinto, All Rights Reserved
Slide 14: Multiples of the weight of a 737 (take off weight)
October 2014 14 Thinking model - the 737 index x107 Multiples of the weight of a 737 (take off weight) 100 20 x21 737 weighs 79 tonnes t/o x7 x2 10 x6 x2 x1 Machines commonly used in the mining industry ©2014, Rio Tinto, All Rights Reserved
Slide 15: Grasping the scale
October 2014 15 Grasping the scale ©2014, Rio Tinto, All Rights Reserved
Slide 16: Machines are our mobile sensor platform(s)
October 2014 16 Machines are our mobile sensor platform(s) example 32 Sensors Rio Tinto has ~900 HME trucks Useful data produced by trucks 120 Sensors ~4.9 Tb/day (fleet)* Significant value to leverage 40 Sensors * Note; 70% utilized fleet, x5 overhead wrap on raw sensor data ©2014, Rio Tinto, All R
Slide 17: An integrated strategy – data is the glue
October 2014 17 An integrated strategy – data is the glue • Rio Tinto Mine Automation System (MAS) − A seven year programme, partnership with University of Sydney − Embed many learnings and technologies from the defence sector • One version of the “truth” in mining − Autonomy is one component in the
Slide 18: Mine Automation System (MAS)
October 2014 18 Mine Automation System (MAS) Visualization CAT - Aquila™ Mine Automation Vulcan™ System Dispatch – (i.e. Modular®) Plants – control & historian Sensors SENSE THINK Anything, anything, anything ACT ©2014, Rio Tinto, All Rights Reserved
Slide 19: Mine Automation System (MAS)
October 2014 19 Mine Automation System (MAS) ©2014, Rio Tinto, All Rights Reserved
Slide 20: Summary
October 2014 20 Summary I addressed three points during our time together: 1 Our world is physically connected to an ore body 2 opportunities to improve Connectivity provides new 3 Fixed v/s Mobile - MAS Our internet of “big” things I hope the presentation was interesting and challenging. The world
Slide 21: Internet of Things World Forum
Internet of Things World Forum Chicago John McGagh – Head of Innovation October 2014