Plant Equipment and Hire September 2017 | Page 7

More than half a century after inventing the concept, celebrated the production of the 75 000th articulated dump truck (ADT). The company has produced more than half of the ADTs ever made, and 50 000 Volvo haulers are still in regular use around the world. The 75 000th machine — one of the new generation A45G full suspension models — rolled off the production line in late June at the factory where the first machine — the DDR631 or ‘Gravel Charlie’ — was made, in Braås, Sweden. The first 15-tonne capacity machine built in 1966 can fit into the haul body of Volvo’s largest ADT, the 55-tonne A60H. And although Volvo articulated haulers can be found across the world, the 75 000th machine is staying relatively local, going to Norwegian customer Leonhard Nilsen & Sønner AS. Volvo Volvo Construction Equipment recently In June, Volvo’s 75 000th ADT — a new generation A45G full suspension model — rolled off the production line. Intelligent Mining Conference 2017 spotlights data and digitisation Hatch regional director: Digital Mining Australasia, Jeanne Els. A paradigm shift in the mining industry is being driven by the fourth industrial revolution (Industry 4.0) and the advent of the Internet of Things (IoT), which promotes connectivity, modularity, and reuse of sensors, data, networks, and platforms. Because of this, big data and analytics will play an increasingly important role in the industry’s future. Speaking at the Hatch Intelligent Mining Conference 2017, held at the Indaba Hotel in Johannesburg recently, Jeanne Els, Hatch regional director: Digital Mining Australasia, said that only between 1% and 5% of the data generated by the mining industry is actually used for prediction and optimisation. “There are tremendous opportunities to use data in the mining industry, and much of it is low-hanging fruit,” said Els. Not all of the correct data is being collected, and what is being collected is either not stored at all, or often not stored properly, making it difficult to extract and use for analytics. The lack of available real-time data is also making the actual decision-making process more challenging. Advances in technology offer the mining industry the opportunity to develop sophisticated models to simulate processes and systems that can then be used for prediction of outcomes and optimisation. “Once this is done in real-time, you then have the ability to close the loop and introduce automation,” Els added. “The aim is to transform mining from a people-intensive industry to an algorithm-based industry, to get to a place where we have codified processes and real-time information to make real-time decisions — that is really powerful.” The first major benefits are decreased variability and increased predictability, meaning fewer unplanned events such as unforeseen stoppages, and resulting in better health and safety outcomes, as well as improved productivity and efficiency. According to Els, this also unlocks new ways of doing business. However, the biggest challenge for the mining industry is not technology, but rather being open to collaborative ecosystems and open platforms to drive such innovation. “We have to get to a place where we encourage different companies working together on open platforms to develop new applications and new types of sensors, for example, that will ultimately unlock this kind of value for the entire industry,” said Els. SEPTEMBER 2017 5