predictive maintenance

Spatial digital twin puts remote mine teams in the driver’s seat with live data views faster fixes and smarter decisions from pit to planning room

As mining companies increasingly operate from hundreds, sometimes thousands, of kilometres away from the pit or plant, one challenge has remained constant – how to give remote teams the same operational context, detail, and situational awareness they’d have if they were standing on site.

From two weeks to two seconds AI is revolutionising mining by boosting safety, cutting downtime and delivering smarter, faster operational decisions

Every hour of downtime costs a mine tens of thousands of dollars, and Professor Amir Gandomi told the NSW Resources Regulator’s Mechanical Engineering Safety Seminar how artificial intelligence is now cutting those losses by predicting failures and optimising operations in seconds.

Mining gains momentum as integrated digital systems cut bottlenecks, boost energy savings and turn data into real- time decisions underground

From the outside, the conversation around digital mining often gets framed in broad terms - automation, Information of Things (IoT), Artificial Intelligence (AI) but for those working underground or in control rooms, the real question is more practical: how do these tools actually solve the daily challenges? For Stewart Johnston, Account Manager - Mine Electrification and Automation at ABB Australia, the key lies in making information usable, timely, and connected across the mining value chain.

AI spots what your sensors miss and your eyes can't see turning maintenance into money and downtime into data across coal operations

In an industry where every unscheduled shutdown translates into lost revenue, wasted resources and mounting frustration, one company is making a compelling case for using artificial intelligence to turn maintenance from a cost centre into a strategic advantage.