Advanced teaching and process monitoring environment for the factory of the future

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa

Standard

Advanced teaching and process monitoring environment for the factory of the future. / Kortela, Jukka; Nasiri, Babak; Lahnalammi, Antton; Jämsä-Jounela, Sirkka-Liisa.

Advanced teaching and process monitoring environment for the factory of the future. 2017. (Automaatiopäivät22 Proceedings).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa

Harvard

Kortela, J, Nasiri, B, Lahnalammi, A & Jämsä-Jounela, S-L 2017, Advanced teaching and process monitoring environment for the factory of the future. julkaisussa Advanced teaching and process monitoring environment for the factory of the future. Automaatiopäivät22 Proceedings, Automaatiopäivät, Vaasa, Suomi, 23/03/2017.

APA

Kortela, J., Nasiri, B., Lahnalammi, A., & Jämsä-Jounela, S-L. (2017). Advanced teaching and process monitoring environment for the factory of the future. teoksessa Advanced teaching and process monitoring environment for the factory of the future (Automaatiopäivät22 Proceedings).

Vancouver

Kortela J, Nasiri B, Lahnalammi A, Jämsä-Jounela S-L. Advanced teaching and process monitoring environment for the factory of the future. julkaisussa Advanced teaching and process monitoring environment for the factory of the future. 2017. (Automaatiopäivät22 Proceedings).

Author

Kortela, Jukka ; Nasiri, Babak ; Lahnalammi, Antton ; Jämsä-Jounela, Sirkka-Liisa. / Advanced teaching and process monitoring environment for the factory of the future. Advanced teaching and process monitoring environment for the factory of the future. 2017. (Automaatiopäivät22 Proceedings).

Bibtex - Lataa

@inproceedings{a4c6cdf127d9447091e6f14e9f6997d2,
title = "Advanced teaching and process monitoring environment for the factory of the future",
abstract = "ABB Industrial IT Extended Automation System 800xA has been set up for centralized data collection, analysis, real-time monitoring, and advanced control. The ABB system is further expanded by cloud based advanced controland monitoring system. The state-of-the-art ABB setup includes OPC UA, providing a single entry point into a system. Each piece of equipment is automated using a dedicated PLC-station and different fieldbuses, diversifyingthe teaching and research benefits. The cloud based system will include an OPC UA client which allows access to ABB OPC Server using OPC UA Specifications. OPC UA scales very well in several directions. It allows OPC UA applications to run on embedded devices with very limited hardware resources, as well as on very powerful machines like mainframes. The final set up will run on the high velocity web framework Play that has been especially designed for Java and Scala. Play 2 provides native Akka support (toolkit and runtime) for Play applications enabling writing highly-distributed systems in the cloud. In addition, it follows model–view–controller (MVC) software design pattern, separating the software application into three interconnected parts:models, views, and controllers. The model manages the data, logic, and rules of the application. The monitoring and optimization algorithms are implemented in the model component. In addition, OPC UA client library will beutilized for reading and writing the data from the industrial processes. The proposed advanced teaching and process monitoring system is evaluated with test-algorithms implemented in the Spark cloud and the results are presented,analyzed, and discussed.",
keywords = "IoT, cloud computing, OPC UA, advanced control",
author = "Jukka Kortela and Babak Nasiri and Antton Lahnalammi and Sirkka-Liisa J{\"a}ms{\"a}-Jounela",
year = "2017",
month = "3",
day = "23",
language = "English",
series = "Automaatiop{\"a}iv{\"a}t22 Proceedings",
publisher = "Suomen Automaatioseura",
booktitle = "Advanced teaching and process monitoring environment for the factory of the future",

}

RIS - Lataa

TY - GEN

T1 - Advanced teaching and process monitoring environment for the factory of the future

AU - Kortela, Jukka

AU - Nasiri, Babak

AU - Lahnalammi, Antton

AU - Jämsä-Jounela, Sirkka-Liisa

PY - 2017/3/23

Y1 - 2017/3/23

N2 - ABB Industrial IT Extended Automation System 800xA has been set up for centralized data collection, analysis, real-time monitoring, and advanced control. The ABB system is further expanded by cloud based advanced controland monitoring system. The state-of-the-art ABB setup includes OPC UA, providing a single entry point into a system. Each piece of equipment is automated using a dedicated PLC-station and different fieldbuses, diversifyingthe teaching and research benefits. The cloud based system will include an OPC UA client which allows access to ABB OPC Server using OPC UA Specifications. OPC UA scales very well in several directions. It allows OPC UA applications to run on embedded devices with very limited hardware resources, as well as on very powerful machines like mainframes. The final set up will run on the high velocity web framework Play that has been especially designed for Java and Scala. Play 2 provides native Akka support (toolkit and runtime) for Play applications enabling writing highly-distributed systems in the cloud. In addition, it follows model–view–controller (MVC) software design pattern, separating the software application into three interconnected parts:models, views, and controllers. The model manages the data, logic, and rules of the application. The monitoring and optimization algorithms are implemented in the model component. In addition, OPC UA client library will beutilized for reading and writing the data from the industrial processes. The proposed advanced teaching and process monitoring system is evaluated with test-algorithms implemented in the Spark cloud and the results are presented,analyzed, and discussed.

AB - ABB Industrial IT Extended Automation System 800xA has been set up for centralized data collection, analysis, real-time monitoring, and advanced control. The ABB system is further expanded by cloud based advanced controland monitoring system. The state-of-the-art ABB setup includes OPC UA, providing a single entry point into a system. Each piece of equipment is automated using a dedicated PLC-station and different fieldbuses, diversifyingthe teaching and research benefits. The cloud based system will include an OPC UA client which allows access to ABB OPC Server using OPC UA Specifications. OPC UA scales very well in several directions. It allows OPC UA applications to run on embedded devices with very limited hardware resources, as well as on very powerful machines like mainframes. The final set up will run on the high velocity web framework Play that has been especially designed for Java and Scala. Play 2 provides native Akka support (toolkit and runtime) for Play applications enabling writing highly-distributed systems in the cloud. In addition, it follows model–view–controller (MVC) software design pattern, separating the software application into three interconnected parts:models, views, and controllers. The model manages the data, logic, and rules of the application. The monitoring and optimization algorithms are implemented in the model component. In addition, OPC UA client library will beutilized for reading and writing the data from the industrial processes. The proposed advanced teaching and process monitoring system is evaluated with test-algorithms implemented in the Spark cloud and the results are presented,analyzed, and discussed.

KW - IoT

KW - cloud computing

KW - OPC UA

KW - advanced control

M3 - Conference contribution

T3 - Automaatiopäivät22 Proceedings

BT - Advanced teaching and process monitoring environment for the factory of the future

ER -

ID: 17036039