How Data Collection and AI Will Change The Future of Mine Safety and Profitability

Data collection mining

1.  Safety in Mines

Data collection and analysis, especially with the availability of AI algorithms, makes it easier to foresee possible risks that can arise in underground mines, and prevent them.  Predictive maintenance would be the best example of this. According to the Occupational Safety and Health Administration, companies with a 9% reactive maintenance rate had a recordable incident rate of .1%, while those with a 64% reactive maintenance had a recordable incident rate of 4.3%.

These statistics highlight how having reliable equipment is safer.  Interpreting real-time data on your equipment and how they interact in the mining environment keeps everyone safer in the mine.  These algorithms are preparing today for the future needs of safety compliance in safety and prevention.

2.   Mining Productivity and Profitability

Productivity in mines is lower than in other industries, and working underground creates a gap of knowledge transfer between supervisors of different areas of the mine in real-time.  Decisions are made while there are still variables which are unknown. Data collection and analysis however, makes it possible to have a global view of situations for better decision making. There are serious cost savings when you can make important decisions with a full and clear picture in mind.

— Download the Slide Deck to Learn How Use AI on Mining Data To Create Value In Less Than 3 Months —

Download the AI Slide Deck To Learn More

This AI Slide Deck prepared by Newtrax VP of Artificial Intelligence, Michel Dubois, shows how to create value with data collected in underground mines using Artificial Intelligence algorithms.

3. Data collection for Mining

Mines have started digitalizing their fleets and collecting data.  This is where data contextualization comes in. Through the fleet and network agnostic systems at Newtrax for example, the data collected can be connected and contextualized.  Being able to have the full context of any piece of data will bring more possibilities and using trends and algorithms trained by multiple mines can help predict events in any given mine.

Mining will be much more calculated in the next 5 – 10 years, this means knowing exactly what is going on under the surface from to make the mine safer, more profitable and understanding how all of these elements interact with each other to have the most productive operation possible.