Monitor and optimize the performance of a physical asset or system in real-time by simulating its behaviour in multiple ‘what-if’ scenarios, analyzing data from sensors and other sources before enacting changes in the real world.
The operational twin allows operations and maintenance teams to pursue efficiency improvements with a whole new layer of data-driven intelligence powered by machine learning, AI, and advanced modelling techniques.
Think creating an operational twin is complicated? It doesn’t have to be. Now, you can easily get started with a no-code canvas, and just select details like asset class and asset name to create the twin without getting your IT folks involved!
You can simulate multiple real-time and retrospective scenarios by combining the inputs and filters available with the suitable regression models. Add asset tags, virtual tags, or calculated values of other blocks and test run the twin on demand. Save the twin and map to other assets as you go.
See how output values behave when you vary input values, in a split view. Change input range values with a slider, toggle for binary values, and use the dropdown list for categorical values. Identify anomalies with colour coded display and get actionable recommendations for red and flagged output values.
Sometimes, you need to make changes to the twin as plans and situations change. You can select and edit existing twins from your dashboard to include the required changes, pick different parameters to recalibrate the model, or delete it and build one from scratch.
No code. Simple dashboard view. Easy navigation.
Start fast. Build fast. See changes in real-time.
Optimized for mobile. Optimized for teams on the move.
Simplify real-time analysis of data, workflows, and asset behaviour. Make smarter and faster decisions.
Proactively identify potential problems within assets. Enable more accurate scheduling. Reduce maintenance costs.
Leverage visibility and forecasting capabilities. Manage risk. Supercharge asset and energy performance.