Move through every stage of automation with one connected approach.
Explore proven use cases for testing, validation and production optimization.
From initial planning to production-ready systems and automated engineering workflows.
Build reliable virtual commissioning workflows, industrial software and reusable expertise.
Tools for the Digital Factory
RF::SUITE
One connected platform for engineering, simulation, validation and production intelligence.
Explore RF::SUITE →
Choose the tools your workflow needs and connect them within one consistent engineering environment.
RF::YAMS3D simulation and material flow
→
RF::ViPerVirtual periphery simulation
→
RF::RobSimRobot simulation
→
RF::SCOUTAnalysis and optimization
→
RF::CEREBData intelligence platform
→
RF::GUARDFixture simulation and validation
→
RF::FSBoxHardware for fieldbus simulation
→
RF::EdDiVirtual operator and PLC training
→
RF::VPM ToolProject and model preparation
→
We combine simulation, virtual commissioning and industrial software expertise across demanding production environments.
From individual machines to complex production lines: we connect engineering, simulation and operation throughout the entire lifecycle.
We participate in national and international research projects focused on digital engineering, automation, artificial intelligence and sustainable production systems.
Resilient, sustainable and adaptable industrial production systems.
→ 02 Research Project REDRIVESResilient drive technologies and robust industrial production processes.
→ 03 Research Project DIGIKLEBDigital methods for connected adhesive processes and quality assurance.
→ 04 Research Project GENIUSIntelligent engineering methods for data-driven manufacturing systems.
→Learn more about EKS InTec, our locations, career opportunities and how to get in touch with our team.
Monitoring & Analysis
EKS InTec turns signals, production records and model-based data into a traceable view of plant behavior. Teams can monitor current states, reconstruct sequences, compare operating conditions and base decisions on reliable evidence.
Monitoring & Analysis uses real and virtual operating data to make production behavior visible during operation. Deviations, bottlenecks, timing effects and process relationships become traceable on a consistent data basis.
What it means
Industrial systems generate large quantities of signals, events and time-based records. Individual values rarely explain what happened. The real value emerges when these sources are structured, placed in context and connected to the process they describe.
EKS InTec creates this context. We combine recorded or live production information with planning values, simulation data and clearly defined process descriptions. The result is a reproducible basis for assessment, validation and operational decisions.
Why transparency matters
Structured analysis creates transparency across real production processes and system states. Relationships, deviations and recurring patterns become understandable instead of remaining isolated signals.
What actually happens in production becomes traceable.
Process behavior can be assessed from consistent records.
Planned, virtual and real states can be placed side by side.
Findings become a reliable basis for operational decisions.
Two disciplines, one evidence base
Monitoring provides an ongoing view of relevant states, signals, events and performance indicators. It helps teams recognize when production behavior changes and preserves the context needed for later investigation.
Analysis turns recordings into a structured process view. Teams can isolate relevant periods, compare operating states, investigate signal relationships and document why a process behaved differently.
What becomes transparent
See which process states, equipment conditions and operating modes are active at a specific point in time.
Assess timing behavior, workload distribution and recurring variations across production sequences.
Connect messages, state changes and interruptions to the process phase in which they occurred.
Identify where process behavior differs from the expected sequence and where constraints repeatedly appear.
Inspect signals at source level and understand how individual values relate to complete process steps.
Compare defined operating states before and after a controlled change using the same assessment basis.
The data foundation
Production behavior is distributed across multiple systems. Monitoring & Analysis creates a shared time and process context without reducing complex behavior to a single dashboard value.
States, commands, acknowledgements and interlocks from automation systems.
Program states, interactions, motion-related events and equipment messages.
Time-series data, counters, measured values and operating information.
Expected sequences, planned timings and virtual operating states for comparison.
System structure, versions, documentation and defined assessment criteria.
Questions the data should answer
The purpose of analysis is not to create more charts. It is to shorten the path from an observed event to a technically defensible explanation.
Compare time periods and operating states to locate the first measurable deviation.
Connect messages, signals and sequence states instead of assessing them in isolation.
Use repeated recordings and distributions to distinguish a single event from a pattern.
Review workloads, dependencies and waiting phases across connected equipment.
Place production recordings beside planning values or virtual system behavior.
Narrow large recordings to the values and time window that explain the event.
Relate documented system changes to their measurable effects in the process.
Preserve source data, criteria and context so findings remain traceable.
RF::SUITE software
RF::SCOUT provides the detailed production-analysis environment. RF::CEREB is being developed as the connected information layer that preserves relationships between engineering, simulation, production and training knowledge.
RF::SCOUT structures recordings from real or virtual systems into readable process timelines, signal views and comparable operating sequences.
RF::CEREB is being developed to connect lifecycle information that is usually distributed across project files, simulation environments, production systems and organizational knowledge.
From data to evidence
Bring together relevant PLC, robot, sensor, planning or simulation sources.
Capture time-based signals, events and process states with the required detail.
Relate raw values to equipment, process steps and defined operating states.
Place periods, baselines, variants or virtual and real states side by side.
Preserve findings as a reproducible basis for validation and decisions.
Real process data makes the effects of controlled changes understandable. Defined baselines and consistent assessment criteria allow teams to compare operating states and document whether the expected behavior was achieved.
Record the relevant operating state before a change so later comparisons use a reliable reference.
Place before-and-after behavior side by side using the same process and timing criteria.
Investigate how a defined change influences process behavior, stability, timing and interactions.
Use documented evidence to assess the system state and reduce uncertainty during restart.
Where it creates value
Document how sequences, timings and interactions behave as a new or modified system moves from commissioning into regular operation.
Return to the relevant event window, reconstruct the sequence and narrow the search to the states that preceded the interruption.
Use the same process description to contrast virtual commissioning records, planned values and later production behavior.
Define a baseline, record the new state and document whether the expected effect is visible under comparable conditions.
Trace waiting phases, handovers and interactions across connected equipment instead of reviewing each station in isolation.
Keep recordings, assessment criteria and technical conclusions accessible for maintenance, engineering and future project teams.
Who uses the evidence
Assess operating behavior and make decisions from a consistent production view.
Compare planned sequences with virtual and real operating states.
Trace interactions, interlocks, signals and timing across complete sequences.
Reconstruct behavior and validate defined system states during ramp-up.
Investigate recurring events and connect symptoms to their process context.
Work with structured records and reproducible criteria across departments.
Frequently asked questions
Make production behavior visible
Talk to EKS InTec about your monitoring requirements, analysis workflows, RF::SCOUT or RF::CEREB.
