How Big Data is solving three of mining’s biggest challenges
Advancements in Industrial IoT systems have made data collection in hard to reach places such as underground mines more accessible than ever before. Thousands of sensors can now automatically upload millions of data points, revealing potential insights that were previously unattainable.
The pioneering work that Newtrax is investing in to collect this data is on the forefront of the digital transformation that the mining industry is going through, helping mining companies around the world solve their three biggest challenges:
- Increasing Safety while optimizing productivity
- Reducing costs
- Reducing waste to increase sustainability
However, while invaluable, all of this data can quickly become overwhelming.
To sift through the data-noise, Business Intelligence (BI) analysts can interpret past data to understand the historical performance of a business, while Machine Learning (ML) algorithms can analyze the past data (trends or patterns) to make future predictions.
Louis-Pierre Campeau, Ph.D. candidate and expert in mining optimization joined Newtrax to help us do the latter.
“If you’re on the sidelines waiting for the right moment to enter the world of Big Data and Machine Learning, you could easily get left behind,” Campeau said. “The bigger the datasets you start building now, the better equipped your Machine Learning algorithms will be five years from now, giving early adopters an incredible competitive advantage.”
For a typical large-scale operation, the mine accounts for a third or more of total operational cost. Some mid- to late-stage mines can expect capital and operational costs to double in the next five years as they navigate geological, operational and regulatory challenges.
That’s why operators of Tier 1 assets are accelerating their investments in data collection and analysis capabilities to be better prepared for the wave of Artificial Intelligence and Machine Learning.
The Big Data collected underground through IoT systems will solve mining’s biggest challenges in the following ways:
1. Through the data collected from people working underground, Machine Learning algorithms will be able to clearly identify trends in dangerous and hazardous situations based on past behaviour and incidents. This will enable mine management and the Health & Safety departments to take preventive measures to significantly reduce the risk of accidents and fatalities underground.
2. The data collected from mobile equipment, such as tire pressure and engine performance, will enable the prediction of maintenance so precisely that time and cost associated to unplanned maintenance will be significantly reduced, or even practically eliminated. The better we can predict the previously unpredictable, the more productive the mine will be.
3. The environment, such as water, ground and gas levels, are also very powerful data points that can enable the mine to significantly reduce waste and mine with precision. By collecting, analyzing and interpreting historical data on the environment, underground mines can increase the safety of their workers and significantly reduce waste for a more sustainable mining operation.
Is it time to go Big Data?
Big Data is, well, really big. It can be overwhelming for companies to determine where to start. Newtrax is well-positioned to provide the services, the technology, and the coaching to guide mining companies on their Big Data journey. Our staff of engineers, technology experts, and data scientists are here to help you become the industry’s next data-driven underground mining operation.