Integration of Smart Vision Sensor into Manipulator Control System using OPC-UA
Само за регистроване кориснике
2020
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
High product variety imposed to manufacturing companies by contemporary market requires efficient adaptation of production, which leads to the application of Reconfigurable Manufacturing Systems (RMS). These systems are based on rapid and effective reconfiguration of manufacturing equipment that can be achieved only through high-level interoperability of the multi-vendor devices. OPC-UA (Open Platform Communication - Unified Architecture) as a platform-independent standard provides semantic interoperability and secure machine to machine communication and represents a basis for RMS development. In this paper, we illustrate how OPC-UA can be employed for integration of smart devices into legacy control system using an example of electropneumatic manipulation system and smart vision sensor. The smart vision sensor consists of a camera augmented by RaspberryPi platform that utilizes an image classification method based on convolutional neural networks (CNN).
Кључне речи:
Reconfigurable Manufacturing Systems / OPC-UA / Industry 4.0 / Convolutional Neural NetworksИзвор:
28th Telecommunications forum TELFOR 2020 - Proceedings, Serbia, Belgrade, November 24-25, 2020, 2020Издавач:
- Institute of Electrical and Electronics Engineers Inc.
Финансирање / пројекти:
- MISSION4.0 - Deep Machine Learning and Swarm Intelligence-Based Optimization Algorithms for Control and Scheduling of Cyber-Physical Systems in Industry 4.0 (RS-ScienceFundRS-AI-6523109)
DOI: 10.1109/TELFOR51502.2020.9306524
WoS: 000666945500027
Scopus: 2-s2.0-85099879634
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Nedeljković, Dušan AU - Jakovljević, Živana PY - 2020 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3448 AB - High product variety imposed to manufacturing companies by contemporary market requires efficient adaptation of production, which leads to the application of Reconfigurable Manufacturing Systems (RMS). These systems are based on rapid and effective reconfiguration of manufacturing equipment that can be achieved only through high-level interoperability of the multi-vendor devices. OPC-UA (Open Platform Communication - Unified Architecture) as a platform-independent standard provides semantic interoperability and secure machine to machine communication and represents a basis for RMS development. In this paper, we illustrate how OPC-UA can be employed for integration of smart devices into legacy control system using an example of electropneumatic manipulation system and smart vision sensor. The smart vision sensor consists of a camera augmented by RaspberryPi platform that utilizes an image classification method based on convolutional neural networks (CNN). PB - Institute of Electrical and Electronics Engineers Inc. C3 - 28th Telecommunications forum TELFOR 2020 - Proceedings, Serbia, Belgrade, November 24-25, 2020 T1 - Integration of Smart Vision Sensor into Manipulator Control System using OPC-UA DO - 10.1109/TELFOR51502.2020.9306524 ER -
@conference{ author = "Nedeljković, Dušan and Jakovljević, Živana", year = "2020", abstract = "High product variety imposed to manufacturing companies by contemporary market requires efficient adaptation of production, which leads to the application of Reconfigurable Manufacturing Systems (RMS). These systems are based on rapid and effective reconfiguration of manufacturing equipment that can be achieved only through high-level interoperability of the multi-vendor devices. OPC-UA (Open Platform Communication - Unified Architecture) as a platform-independent standard provides semantic interoperability and secure machine to machine communication and represents a basis for RMS development. In this paper, we illustrate how OPC-UA can be employed for integration of smart devices into legacy control system using an example of electropneumatic manipulation system and smart vision sensor. The smart vision sensor consists of a camera augmented by RaspberryPi platform that utilizes an image classification method based on convolutional neural networks (CNN).", publisher = "Institute of Electrical and Electronics Engineers Inc.", journal = "28th Telecommunications forum TELFOR 2020 - Proceedings, Serbia, Belgrade, November 24-25, 2020", title = "Integration of Smart Vision Sensor into Manipulator Control System using OPC-UA", doi = "10.1109/TELFOR51502.2020.9306524" }
Nedeljković, D.,& Jakovljević, Ž.. (2020). Integration of Smart Vision Sensor into Manipulator Control System using OPC-UA. in 28th Telecommunications forum TELFOR 2020 - Proceedings, Serbia, Belgrade, November 24-25, 2020 Institute of Electrical and Electronics Engineers Inc... https://doi.org/10.1109/TELFOR51502.2020.9306524
Nedeljković D, Jakovljević Ž. Integration of Smart Vision Sensor into Manipulator Control System using OPC-UA. in 28th Telecommunications forum TELFOR 2020 - Proceedings, Serbia, Belgrade, November 24-25, 2020. 2020;. doi:10.1109/TELFOR51502.2020.9306524 .
Nedeljković, Dušan, Jakovljević, Živana, "Integration of Smart Vision Sensor into Manipulator Control System using OPC-UA" in 28th Telecommunications forum TELFOR 2020 - Proceedings, Serbia, Belgrade, November 24-25, 2020 (2020), https://doi.org/10.1109/TELFOR51502.2020.9306524 . .