Publication
Virtualization and monitoring of a modular and self-organized multi-agent conveyor system
| Summary: | The digital transformation that is taking place worldwide in the context of Industry 4.0 stimulates the emergence of new concepts and technologies and is reshaping the manufacturing world. As a result, the Digital Twin concept is gaining more and more momentum. In this sense, the creation of a virtual copy of the physical system provides a connection between the real and virtual systems to collect, analyze and simulate data in the virtual model to improve the performance of the real system. This work presents the development of virtualization of a modular and self-organized transport system, based on the use of Cyber-Physical Systems (CPS) and Multi-Agent Systems (MAS), to ensure the monitoring of its operation and allow the early detection of failures through real-time analysis of data collected from the physical system. For this purpose, Internet of Things (IoT) tools and technologies were used, such as Node-RED and the Message Queuing Telemetry Transport (MQTT) communication protocol, and the storage of collected data and cyber-security issues related to the use of IoT technologies during the data collection, suggesting the implementation of solutions to avoid possible threats, such as user authentication and data encryption. Among the results obtained, the control panel displays system data in real-time, in addition to providing statistical information, and supports dynamic monitoring of the transport system’s condition operation, generating alerts through the implementation of control rules. |
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| Main Authors: | Melo, Victória |
| Subject: | Digital twin Cyber-physical systems Multi-agent systems Virtualization Early failure detection |
| Year: | 2020 |
| Country: | Portugal |
| Document type: | master thesis |
| Access type: | open access |
| Associated institution: | Instituto Politécnico de Bragança |
| Language: | English |
| Origin: | Biblioteca Digital do IPB |
| Summary: | The digital transformation that is taking place worldwide in the context of Industry 4.0 stimulates the emergence of new concepts and technologies and is reshaping the manufacturing world. As a result, the Digital Twin concept is gaining more and more momentum. In this sense, the creation of a virtual copy of the physical system provides a connection between the real and virtual systems to collect, analyze and simulate data in the virtual model to improve the performance of the real system. This work presents the development of virtualization of a modular and self-organized transport system, based on the use of Cyber-Physical Systems (CPS) and Multi-Agent Systems (MAS), to ensure the monitoring of its operation and allow the early detection of failures through real-time analysis of data collected from the physical system. For this purpose, Internet of Things (IoT) tools and technologies were used, such as Node-RED and the Message Queuing Telemetry Transport (MQTT) communication protocol, and the storage of collected data and cyber-security issues related to the use of IoT technologies during the data collection, suggesting the implementation of solutions to avoid possible threats, such as user authentication and data encryption. Among the results obtained, the control panel displays system data in real-time, in addition to providing statistical information, and supports dynamic monitoring of the transport system’s condition operation, generating alerts through the implementation of control rules. |
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