Top business benefits
AI-powered applications allow you to optimise the amount the consumables (water and reagents) used in the flotation process and reduce the amount of waste products and pollutants as a result
Predicts and prevents cavitation in cyclone feed pumps using AI analytics that monitor equipment, conduct a root-cause analysis, and provide actionable insights on how to avoid cavitation events
A plug-and-play platform with a user-friendly dashboard, this solution provides fast and clear insights, and can be easily scaled-up to enhance visibility across entire production
Increased concentrate quality
Quality control and detection, as well as anomaly detection applications, help you reach a higher and more consistent production quality
Optimises every stage of the flotation process
Using AI and machine learning technology, this solution optimises the entire flotation process, from increasing recovery to minimising waste and preventing cavitation.
Features unique data analysis technology and a self-learning system that adapts to changing conditions
Materials tracking application grants complete transparency of the feed ores journey through the supply chain
Anomaly detection applications detect and prevent cavitation events before they occur, and help you mitigate future ones
Uses data collected from virtual sensors to make actionable recommendations to operators on how to optimise flotation at every stage
Compatible with I&C systems in order for AI applications to operate manufacturing equipment automatically
In more detail
Inefficient flotation operations give rise to a number of issues, like cavitation, which can compromise equipment and result in costly periods of downtime.
This plug-and-play solution uses AI-powered technology to optimise every stage of flotation. With its cutting-edge applications and machine learning technology, it collects, examines, and displays a range of data sources on a single dashboard. This means you can easily oversee production and make informed decisions on how to optimise specific areas.
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