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Collision Detection
Detect critical states and potential collisions by evaluating virtual process variables in real time.
Virtual Sensing enables the determination of process variables that are difficult, expensive, or not directly measurable in real plants. By linking a simulation model with live data, a reliable foundation is created for transparency, monitoring, and optimization during operation.
Make non-directly measurable states visible
Extend live data with virtual measurements
Create a foundation for analysis and optimization
Relevant process variables are calculated virtually and made available for operation, analysis and evaluation.
The model runs in parallel to the real plant and continuously reflects current states in sync.
Relevant process variables are calculated virtually and made available for operation, analysis and evaluation.
The model runs in parallel to the real plant and continuously reflects current states in sync.
How it works
Live production data is continuously linked with simulation models to calculate additional process values for monitoring, analysis and optimization.
Input
Sensor values, control signals and current machine states are captured from the real system.
Core
The model runs in parallel and calculates process values that are difficult or impossible to measure directly.
Output
The result supports monitoring, bottleneck detection, optimization and predictive applications.
Continuous validation loop
Applications
Virtual Sensing is applied in industrial environments where direct measurement reaches its limits. By combining simulation models with real production data, it enables deeper insights, improved monitoring and new optimization strategies.
Detect critical states and potential collisions by evaluating virtual process variables in real time.
Extend existing sensor data with additional virtual information to gain a more complete view of system behavior.
Analyze process performance using calculated values that are not physically measurable in the real system.
Identify hidden constraints in production by correlating real and simulated data.
Use enriched data models to detect patterns and predict future system behavior.
Estimate consumption and efficiency based on simulation-driven insights where direct measurement is not available.
EKS supports industrial automation from simulation and virtual commissioning to ramp-up, monitoring and optimization.
Engineering
Digital foundations for automation.
Simulation
Validate behavior virtually.
Virtual Commissioning
Test logic before operation.
Ramp-up
Stabilize production faster.
Monitoring
Make states transparent.
Optimization
Improve with simulation and data.
Modular tools for simulation, virtual commissioning, production analysis and digital factory workflows.
RF::YAMS
Factory simulation
RF::RobSim
Robot simulation
RF::ViPer
Periphery simulation
RF::EdDi
Virtual training
RF::SCOUT
Production analysis
RF::CEREB
Factory intelligence