An Approach for Modeling and Simulation of Virtual Sensors in Automatic Control Systems Using Game Engines and...

Area of Science:

• Engineering
• Computer Science
• Automation

Background:

• Industry 4.0 and Society 4.0 present increasing complexity in dynamic supervisory and control systems.
• Current simulation tools offer limited capabilities for handling vision sensors.
• Simulating complex systems with vision sensors leads to development errors and higher costs.

Purpose of the Study:

• To present a systematic six-step approach for sensor virtualization.
• To develop a simulation platform using game engines for testing the approach.
• To reduce complexity and effort in simulating dynamic systems with vision sensors.

Main Methods:

• Developed a six-step sensor virtualization methodology.
• Created a simulation platform leveraging game engines.
• Integrated the virtualization approach into the simulation platform to model vision sensors.

Main Results:

• The developed platform can simulate dynamic systems, including industrial processes with vision sensors.
• The proposed virtualization approach enables systematic modeling of sensors.
• Reduced complexity and effort in simulating systems with vision sensors were achieved.

Conclusions:

• The six-step sensor virtualization approach effectively addresses the challenges of simulating vision sensors in Industry 4.0.
• The game engine-based simulation platform provides a robust environment for testing and validating the approach.
• This work contributes to more efficient and accurate simulation of complex dynamic systems.