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Simulation of Virtual Redundant Sensor Models for Safety-Related Applications
Peter Peniak1, Karol Rástočný1, Alžbeta Kanáliková1
1Department of Control and Information Systems, Faculty of Electrical Engineering and Information Technology, University of Žilina, 01026 Žilina, Slovakia.
Sensors (Basel, Switzerland)
|February 15, 2022
Summary
Virtual redundant sensors enhance safety systems by validating physical sensor data. This digital twin approach ensures high availability and reliable inputs for critical control applications.
Area of Science:
- Control Systems Engineering
- Sensor Technology
- Digital Twins
Background:
- Safety-critical control systems require highly reliable and available sensor inputs.
- Existing physical sensors may not meet the stringent validation and availability demands.
- There is a need for advanced solutions to ensure data integrity and system uptime.
Purpose of the Study:
- To introduce a novel virtual redundant sensor system for validating physical sensor inputs.
- To enhance the reliability and availability of data for safety-related control applications.
- To leverage digital twin technology for real-time sensor data validation and fusion.
Main Methods:
- Implementation of virtual sensors between physical sensors and control system logic.
- Utilizing digital twin concepts and a fusion function to process sensor data.
- Employing numerical models and a web-based GUI for model selection and configuration.
- Validation on an experimental workplace with emulated sensors and MQTT integration.
Main Results:
- The virtual redundant sensor system successfully validated physical sensor values.
- Fusion functions accurately calculated results based on selected numerical models.
- The system effectively handled non-standard sensor data according to defined protocols.
- A group of two virtual sensors demonstrated rapid recovery and high availability.
Conclusions:
- The proposed virtual redundant sensor solution is applicable for validating physical sensor data in safety systems.
- Digital twin and sensor fusion techniques provide a robust method for achieving high data availability.
- The system offers a promising approach for enhancing the reliability of safety-critical control applications.
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