The mining and rock excavation industry is under growing pressure. It has to increase the global supply of minerals to meet the needs of a rapidly rising world population. This often requires extracting from increasing greater depths. This therefore can make it difficult to communicate and act as necessary when equipment fails or needs to be serviced. Consequently, IBM and Sandvik announced a collaboration.
OptiMine Analytics transforms data into process improvements via predictive insights and actionable dashboards embedded into operation management systems. It uses the analytics capabilities from IBM Watson IoT. This information management solution allows mining companies to combine equipment and application data from disparate sources in real-time. It can then analyze patterns in the data to help improve availability, utilization and performance.
Through a series of IBM Design Thinking workshops, IBM and Sandvik work with clients to develop a framework. This consequently helps to shape offerings around data-driven productivity and predictive maintenance.
IBM and Sandvik: predictive maintenance through IoT
Using the Watson IoT technology, Sandvik and IBM have created a platform together. The platform is able to comply with the stringent reliability and security requirements of mining operations. The partners also introduced predictive maintenance technology leveraging IoT sensor data as part of this platform.
“Proactively identifying maintenance needs before something breaks is leading to huge cost and time savings,” said Patrick Murphy, president, Rock Drills & Technologies, Sandvik. “Our award-winning OptiMine Analytics with IBM Watson IoT solutions offer our customers a more complete view of their operations.”
Sandvik and IBM clients are using IoT to help reduce miner exposure to hostile work environments and increase safety.
“Our top priority is the safety of our employees and if a machine fails underground, we need immediate insight into what is happening in that tunnel,” said Luctor Roode, executive operations at Petra Diamonds. “With the solution from Sandvik and IBM, we have real-time data that allows us to immediately identify the root cause of the problem and act accordingly.”
“Leveraging data has become increasingly valuable across the mining sector. Through analytics, machine learning and AI, we are seeing new possibilities for increased operational efficiency,” said Paul Muller, chief executive officer, Barminco. “Our partnership with Sandvik’s OptiMine Analytics allows us to fast-track our efforts, leveraging Sandvik’s whole-of-fleet data and innate machine knowledge.”
OptiMine Analytics will also be used by Vedanta Zinc International’s Black Mountain Mining (BMM) operations in South Africa’s Northern Cape Province, to accelerate data-driven operations for safety, efficiency and productivity for trucks, loaders and drills.