Top business benefits
<3 months typical ROI
2-6 months typical setup
Increased asset utilisation and uptime
Increased mine throughput
Improved asset health and maintenance
Reduced unplanned downtime events
Mobile or fixed plant capabilities
In more detail
Unplanned plant downtime is a major issue. Unexpected failures in equipment have a disruptive impact and of course a costly consequence in reduced production.
This advanced AI-based predictive solution improves preventative maintenance, thus reducing plant failures, lost production, spare parts use, and labour costs, all whilst increasing throughput.
Throughput depends on plant machinery functioning at peak uptime, and whilst planned maintenance is an essential process in overall performance, unplanned downtime is highly disruptive and very costly. Equipment needs to run as reliably as possible to maximise throughput and final product output.
Many issues can be predicted with the right technology and datasets, combined with advanced AI models, in the fast-developing area of predictive maintenance.
This advanced AI platform, which has been used in a wide variety of applications across many industries, has delivered highly reliable predictive maintenance recommendations for large and small mills.
Small customisations are typically used to fit the customer dataset used to power the model, and the solution uses proprietary artificial neural networks with advanced explainability features and AutoML for scaling.
Customers are required to have sufficient sensors and stored data (3-5 years) for the equipment and a downtime accounting system to record and store malfunctions. The team will then work with the customer on data integration and input into the system.
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