Mining Robotics and Media Change
Chris Chesher
- Year
- 2013
- Citations
- 1
Abstract
Introduction Almost all industries in Australia today have adopted digital media in some way. However, uses in large scale activities such as mining may seem to be different from others. This article looks at mining practices with a media studies approach, and concludes that, just as many other industries, mining and media have converged. Many Australian mine sites are adopting new media for communication and control to manage communication, explore for ore bodies, simulate forces, automate drilling, keep records, and make transport and command robotic. Beyond sharing similar digital devices for communication and computation, new media in mining employ characteristic digital media operations, such as numerical operation, automation and managed variability. This article examines the implications of finding that some of the most material practices have become mediated by new media. Mining has become increasingly mediated through new media technologies similar to GPS, visualisation, game remote operation, similar to those adopted in consumer home and mobile digital media. The growing and diversified adoption of digital media championed by companies like Rio Tinto aims not only ‘improve’ mining, but to change it. Through remediating practices of digital mining, new media have become integral powerful tools in prospective, real time and analytical environments. This paper draws on two well-known case studies of mines in the Pilbara and Western NSW. These have been documented in press releases and media reports as representing changes in media and mining. First, the West Angelas mines in the Pilbara is an open cut iron ore mine introducing automation and remote operation. This mine is located in the remote Pilbara, and is notable for being operated remotely from a control centre 2000km away, near Perth Airport, WA. A growing fleet of Komatsu 930E haul trucks, which can drive autonomously, traverses the site. Fitted with radars, lasers and GPS, these enormous vehicles navigate through the open pit mine with no direct human control. Introducing these innovations to mine sites become more viable after iron ore mining became increasingly profitable in the mid-2000s. A boom in steel building in China drove unprecedented demand. This growing income coincided with a change in public rhetoric from companies like Rio Tinto. They pointed towards substantial investments in research, infrastructure, and accelerated introduction of new media technologies into mining practices. Rio Tinto trademarked the term ‘Mine of the future’ (US Federal News Service 1), and publicised their ambitious project for renewal of mining practice, including digital media. More recently, prices have been more volatile. The second case study site is a copper and gold underground mine at Northparkes in Western NSW. Northparkes uses substantial sensing and control, as well as hybrid autonomous and remote operated vehicles. The use of digital media begins with prospecting, and through to logistics of transportation. Engineers place explosives in optimal positions using computer modelling of the underground rock formations. They make heavy use of software to coordinate layer-by-layer use of explosives in this advanced ‘box cut’ mine. After explosives disrupt the rock layer a kilometre underground, another specialised vehicle collects and carries the ore to the surface. The Sandvik loader-hauler-dumper (LHD) can be driven conventionally by a driver, but it can also travel autonomously in and out of the mine without a direct operator. Once it reaches a collection point, where the broken up ore has accumulated, a user of the surface can change the media mode to telepresence. The human operator then takes control using something like a games controller and multiple screens. The remote operator controls the LHD to fill the scoop with ore. The fully-loaded LHD backs up, and returns autonomously using laser senses to follow a trail to the next drop off point. The LHD has become a
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002