Monitoring of Production Processes and the Condition of the Production Equipment through the Internet
| Autor: | Henri Pettinen, Heikki Mesia, Marko Elo, Pasi Tuominen, Pal Varga, Jari Halme, Antti Jaatinen, Csaba Hegedus, Martin Larrañaga, Laurentiu Barna, David Hästbacka, Mikael Bjorkbom, Rupesh More, Erkki Jantunen |
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| Přispěvatelé: | Tampere University, Computing Sciences, Research group: Automation and Systems Theory |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Process (engineering)
business.industry Computer science Gateway (telecommunications) 020209 energy 020208 electrical & electronic engineering Condition monitoring Cloud computing 02 engineering and technology 113 Computer and information sciences Computer security computer.software_genre Data model 0202 electrical engineering electronic engineering information engineering Information system The Internet Orchestration (computing) business computer |
| Zdroj: | Halme, J, Jantunen, E, Hästbacka, D, Hegedűs, C, Varga, P, Björkbom, M, Mesiä, H, More, R, Jaatinen, A, Barna, L, Tuominen, P, Pettinen, H, Elo, M & Larrañaga, M 2019, Monitoring of Production Processes and the Condition of the Production Equipment through the Internet . in 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019 ., 8820688, IEEE Institute of Electrical and Electronic Engineers, pp. 1295-1300, 6th International Conference on Control, Decision and Information Technologies, Paris, France, 23/04/19 . https://doi.org/10.1109/CoDIT.2019.8820688 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT) CoDIT |
| Popis: | The decreasing prices of monitoring equipment have vastly increased the opportunities to utilize local data, and data processing for wider global web-based monitoring purposes. The possible amount of data flowing though different levels can be huge. Now the question is how to handle this opportunity in both dynamic and secure way. The paper presents a new concept to manage data for monitoring through the Internet. The concept is based on the use of Arrowhead Framework (AF) and MIMOSA data model, and selected edge, and gateway devices together with cloud computing opportunities. The concept enables the flexible and secure orchestration of run-time data sources and the utilization of computational services for various process and condition monitoring needs. acceptedVersion |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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