Predictive Analytics for Condition-Based Maintenance

Many mining maintenance departments perform preventative maintenance based on elapsed time, engine hours, or easily observable indicators such as a check engine light. These intervals and limits are typically set conservatively in order to ensure that driveline lubricants are not contaminated or degraded to unacceptable levels prior to service. Oil analysis is used in some cases to fine tune this approach. 

BCG: 10 Digital Innovators in Construction

Boston Consulting Group's new report, Shaping the Future of Construction, highlights 10 innovators leading the digital revolution in the industry.  These leaders are leveraging the power of the Internet of Things as well as valuable OEM-agnostic data sets to drive operational insights and savings for customers.

Deloitte: Top 10 Mining Trends for 2017

Deloitte’s new report, Tracking the trends 2017, identifies the top 10 trends facing mining companies in the coming year.  It puts the spotlight on the next two years, noting that miners need to learn from mistakes of the past several years to figure out where to play and how to win. This will include rethinking strategy, lowering costs, using digital transformation to unlock productivity, and re-earning their social license to operate through sustainable environmental practices.

EquipmentShare Gets More Out of Construction Assets

At Blutip, we’re always on the lookout for smarter technologies and business model innovations that save money for our customers in the mining, construction, and power generation industries. Here’s one worth sharing: EquipmentShare, a Caterpillar-backed start-up in the $40 billion construction equipment rental industry.

Trends in Energy Consumption by Industry Sector

We came across a very helpful data source the other day and thought we’d share it:  the International Energy’s Agency’s new interactive tool (for information visualization purists, it’s a Sankey diagram) which depicts consumption of fuel by end industry sector.  Unlike high-level data sources, it breaks industry sectors down into such detail as mining, rail, marine, construction, and road transport.