IT/OT Convergence and Internet of Things for Mill Products and Mining
Latest technology, like the internet of things IoT), big data analytics & machine learning, and the convergence of operations technology (OT) with business IT provides new possibilities for efficiency gains and safer operations.
In many cases, it starts with connecting the physical objects in the mine and in the mill with business processes, linking sensor readings or geolocation, to business process context – like profitability or quality. Finally, it’s all about better insights and smarter decisions.
The following blogs take the mill products & mining point-of-view. We look at manufacturing and mill-industry specific scenarios, and take a close look at examples of the digital mine.
IoT in Mining
Mining Journal’s big data guide 2015 with use cases from companies such as Rio Tinto, MMG, Essar, ThyssenKrupp on IoT, smart vehicles, pedictive maintenance, health and safety
Mining specific technological challenges for IoT, and IoT scenarios for mine safety and performance
How recent advances in digital technology (like predicitive modelling and simulations) allow mining companies to increase profit, reduce risk – taking better informed decisions about exploration, and finally buying and selling of assets.
IoT in Mill Products
Predictive quality, and why it is the future of quality management – with 2 examples from paper and steel
What you need to know about data science for your IOT project – what’s feasible, and what not (for business readers)
SAP IoT community page
If you want to dive deeper, please also check-out the SAP Internet of Things community page – with technical expert blogs, and discussions.