China wakes up to the need for clean energy - but is it in time? Once again, greenhouse gases ("GHGs") are in focus in the IEA's report. Projections for 2040 CO2emissions are down 1.7% from prior year, but still not nearly enough to avoid the worst effects of climate change.
When you're buying a mining haul truck, dozer, or loader worth millions of dollars, you want to be sure you're purchasing the right truck for your operation. That's why independent, head-to-head field trials of different manufacturers' trucks, in actual field conditions, can be so valuable.
Lots of technologies promise to save money on your mine site. How many companies prove it, at their cost, before they deploy across your site? Blutip does. Here's how we conduct our field performance benchmarking trials:
Bring the power of the industrial internet of things ("IIOT") to your contract mining operation with Blutip's cloud-based SmartRView data portal and analytics system. Our lightweight, low cost platform requires no complex infrastructure or integration, so it is ideal for contract miners.
SmartRControl reduces lowers exhaust gas temperatures (EGTs) and reduces particulate emissions by up to 70%. When deployed by our large customers such as Newmont, SmartRControl is also proven to reduce greenhouse gases ("GHGs") by 2%. In this post, we provide the data and explain the science behind our technology.
Blutip’s SmartRFuel platform can save your mine up to 8% in fuel costs annually. But how do we protect your investment in your high-value diesel engines?
A new September 2017 report from PricewaterhouseCoopers details how South African mines have returned to modest profitability due to a combination of price recovery coupled with technology-enabled cost reductions. However, uncertainty looms and capital expenditures are muted.
Driver behavior directly impacts both fuel burn and maintenance costs. Blutip's cloud-based SmartRView IoT system will notify you of alarm conditions on your dozers, haul trucks, and other vehicles, enabling real-time intervention and driver coaching.
Every year, mining companies are pitched on the benefits of new technologies boasting improved fuel efficiency, lowered maintenance costs and other operation benefits. But how do you know which technologies will work in your particular mine scenario? A side-by-side trial using SmartRView's fuel usage sensors and cloud-based analytics portal gives you the data to decide.
Mining operators often find themselves with more equipment than circumstances require. Blutip's SmartRView engine data maps and idle time analysis can help you identify inefficient trucks which should be retired or repaired.
Many mining maintenance departments perform preventative maintenance based on elapsed time, engine hours, or easily observable indicators such as a check engine light.
Driver behavior has a significant impact on the efficiency of mining haul truck operations.
The global construction industry generates revenues of almost $10 trillion globally and accounts for 6% of world GDP.
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.
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.
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.