EKS InTec
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Connected automation lifecycle from engineering to production optimization
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Automation Lifecycle

Move through every stage of automation with one connected approach.

Engineering → Simulation → Virtual Commissioning → Ramp-up → Monitoring & Analysis → Training →
Explore the lifecycle →
Solutions by challenge

Start with a specific application.

Explore proven use cases for testing, validation and production optimization.

Interlock CheckVerify logic and dependencies → PLC Software TestingFind issues through virtual testing → Robot ProgrammingDevelop efficient logic and motion → Collision DetectionIdentify spatial conflicts early → Cycle Time AnalysisFind bottlenecks and improve throughput → Production OptimizationTurn data into better performance →
All use cases → Talk to our team →
EKS InTec engineering and automation services
Engineering Services

Engineering

From initial planning to production-ready systems and automated engineering workflows.

Smart Engineering → Plant Engineering → Simulation & Engineering Technologies → Automated Engineering →
Explore engineering →
Digital Innovation Services

Digital Innovation.

Build reliable virtual commissioning workflows, industrial software and reusable expertise.

Virtual Commissioning Consulting, pilot projects and project execution → Industrial Software Development Custom applications built on industrial expertise → Standards & Library Development Reusable models, standards and efficient workflows → Software Training Practical RF::SUITE training for industry standards →
Explore digital innovation → Talk to our team →
RF::SUITE software platform Tools for the Digital Factory RF::SUITE One connected platform for engineering, simulation, validation and production intelligence. Explore RF::SUITE →
Software platform

One platform.
Specialized tools.

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 →
All RF::SUITE tools →
Industrial Expertise

Industries built on
connected automation.

We combine simulation, virtual commissioning and industrial software expertise across demanding production environments.

AutomotiveProduction lines and automation systems. AerospaceComplex assembly and validation workflows. RoboticsRobot cells, paths and interactions. Machine BuildingReusable models and connected tools. ChemicalProcess simulation and transparency. PharmaValidated processes and training scenarios. IntralogisticsMaterial flow and throughput optimization. EnergyResilient and data-driven operation.
All IndustriesExplore our complete industry expertise
Industrial automation system
Cross-industry Solutions

Automation expertise across key sectors

From individual machines to complex production lines: we connect engineering, simulation and operation throughout the entire lifecycle.

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Research & Innovation

Applied research for industrial innovation.

We participate in national and international research projects focused on digital engineering, automation, artificial intelligence and sustainable production systems.

Explore all initiatives Research Overview →
01 Research Project SARESA

Resilient, sustainable and adaptable industrial production systems.

→ 02 Research Project REDRIVES

Resilient drive technologies and robust industrial production processes.

→ 03 Research Project DIGIKLEB

Digital methods for connected adhesive processes and quality assurance.

→ 04 Research Project GENIUS

Intelligent engineering methods for data-driven manufacturing systems.

→
Scientific papers, articles and project results Publication List View publications →
Company

Engineering expertise
with industrial focus

Learn more about EKS InTec, our locations, career opportunities and how to get in touch with our team.

About Who we are Locations Where to find us Career Join our team References Selected projects Contact Talk to us
EKS InTec Automation, simulation and engineering expertise.

Virtual Sensing
for Industrial Automation

USE CASE

What is Virtual Sensing?

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

Impact of Interlock Check

Visible

Relevant process variables are calculated virtually and made available for operation, analysis and evaluation.

Real-time

The model runs in parallel to the real plant and continuously reflects current states in sync.

Comparable

Relevant process variables are calculated virtually and made available for operation, analysis and evaluation.

Applicable

The model runs in parallel to the real plant and continuously reflects current states in sync.

How it works

Virtual Sensing as a
continuous data loop

Live production data is continuously linked with simulation models to calculate additional process values for monitoring, analysis and optimization.

Input

Live Data

Sensor values, control signals and current machine states are captured from the real system.

Core

Simulation Model

The model runs in parallel and calculates process values that are difficult or impossible to measure directly.

Output

Virtual Insights

The result supports monitoring, bottleneck detection, optimization and predictive applications.

Applications

Where Virtual Sensing
creates value

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.

01

Collision Detection

Detect critical states and potential collisions by evaluating virtual process variables in real time.

02

Process Monitoring

Extend existing sensor data with additional virtual information to gain a more complete view of system behavior.

03

Cycle Time Analysis

Analyze process performance using calculated values that are not physically measurable in the real system.

04

Bottleneck Identification

Identify hidden constraints in production by correlating real and simulated data.

05

Predictive Analytics

Use enriched data models to detect patterns and predict future system behavior.

06

Energy Monitoring

Estimate consumption and efficiency based on simulation-driven insights where direct measurement is not available.

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