turning asset data into dollars
Billions of data points are generated by industrial machines, at volumes that are overwhelming for spreadsheets and the human mind alone to contend with.
The value lying latent in this mass of data is untapped - or at least it has been until now.
With the use of machine learning algorithms we can now collect data from every source available and use it to model complex plant processes to identify optimisation opportunities, in ways previously unimaginable.
With actionable insights at your fingertips, you have the ability to redesign processes to optimise production for improvements across the triple bottom line.
a holistic view of your assets and operations
A multi-functional, fully automated, AI powered process optimisation solution enables:
- Rapid identification of production bottlenecks and inefficiencies
- Reduced operating cost such as software licenses, IT infrastructure & maintenance, equipment spares and manpower.
- Reduced reliance on Original Equipment Manufacturers (OEMs).
- Increased prediction accuracy, integrity and reliability.
- Optimised situational awareness through effective plant operational management.
artificial intelligence gives you the edge
Using Artificial Intelligence, Big Data and Machine Learning, VROC harnesses the power of predictive analytics to breathe new life into the field of predictive maintenance.
VROC Optimise utilises our purpose built in-house algorithms to analyse information from billions of data points in real time, allowing rapid identification of complex trends and patterns - including process degredation.
By identifying system anomalies and their root causes you can enable the redesign of processes to optimise production.
AI in Action
When there haven't been past failure, AI allows for the identification of abnormal equipment operation by visual comparison or deviation alerts.
Actual (blue) vs Predicted (yellow)