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Transforming industrial automation: voice recognition control via containerized PLC device
Lukáš Beňo1, Erik Kučera2, Peter Drahoš2
1Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Bratislava, Slovakia. lukas.beno@stuba.sk.
Scientific Reports
|November 26, 2024
Summary
This study integrates voice recognition and containerization for industrial Programmable Logic Controllers (PLCs). This innovation enhances human-machine interfaces, enabling secure, portable, and modular operations for Industry 4.0 and 5.0.
Area of Science:
- Industrial Automation
- Human-Machine Interfaces
- Software Engineering
Background:
- Voice assistants are evolving beyond smart homes into industrial automation.
- Containerization technologies like Docker offer enhanced portability and security for software deployment.
- Traditional industrial systems often lack advanced human-machine interface capabilities.
Purpose of the Study:
- To introduce a novel approach for enhancing human-machine interfaces (HMIs) on industrial Programmable Logic Controllers (PLCs).
- To leverage voice recognition and containerization for improved industrial automation.
- To align industrial applications with Industry 4.0 and 5.0 paradigms.
Main Methods:
- Integration of voice assistants with industrial PLCs.
- Development of a containerized Internet of Things (IoT) architecture.
- Implementation and validation on microcontrollers and industrial PLCs in a lab setting.
Main Results:
- Demonstrated efficient deployment on edge devices.
- Achieved modular, portable, and secure operations for industrial PLCs.
- Validated the proposed framework in a controlled laboratory environment and virtual model.
Conclusions:
- The integration of voice recognition and containerization offers a significant advancement for industrial HMIs.
- The proposed containerized IoT architecture supports the secure and efficient operation of PLCs.
- This approach is well-suited for the evolving demands of Industry 4.0 and 5.0.
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