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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

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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.

Keywords:

MQTT availability digital twin fail-safe fusion function safety safety-related application simulation software tool RabbitMQ virtual redundant sensor

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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.