Leading the Digital Transformation in Mining
In a challenging market, the digital transformation of mining companies has become a business imperative. Successful mining companies set the vision to drive visibility across the value chain and equip the next generation workforce.
Our loT-enabled solutions help Metal & Mining Companies to achieve Operational Excellence across the entire value chain.
Supply Chain
Optimisation

Supply Chain digitization enables pro-active planning, scheduling and execution, as well as more thoughtful responses to customer demands and supply chain disruptions.
APC - Advanced Process
Control

Maximise profitability by maintaining optimal operating conditions 100% of the time.



APM - Asset Performance Management

Drive uptime with actionable insights from models and machine learning. Master tools that can predict potential equipment failures. Digitise your procedures and maintenance activities.
- Condition Monitoring
- Predictive Analytics
- Anomaly Pattern Detection
Reduce Downtime of Mining Equipment
Prescriptive Maintenance Analytics
During extraction and processing, prescriptive maintenance analytics can ensure the necessary haul trucks, shovels, crushers and conveyors are available. Using advanced pattern recognition and machine learning, these tools identify normal, abnormal and failure signature agents signatures for different machines and components. When an issue appears, the system issues an alert describing the exact problem, root cause and time to failure, which guides operations and maintenance leaders directly to the fix.
Aspen Mtell is a prescriptive maintenance solution that uses agents to recognise asset failures earlier and with greater accuracy. Learn what an agent is, what they do, how they are created, and how they work—to safeguard equipment, people, and the environment.
Digital Twin
Make better decisions with reliability, availability and maintainability analytics of your mine, mill or refinery, built on a virtual model of the equipment and process using real-time data. Uniquely designed to take process flows into account, the solution identifies the impacts of failures, upgrades and repairs on overall performance and revenues. This can help create greater mine-to-mill alignment, Ensure that decisions made during extraction don’t negatively impact processing or recovery.
Multivariate Process Analytics
New analytics tools can find correlations, trends and other valuable information hidden within big data that was inaccessible through previous data analysis methods. Powerful data mining and machine learning algorithms, predictive and behavior analytics tools, and big data manipulation software to analyse accident data.