Abstract
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.
Original language | English |
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Title of host publication | 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019 |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 1295-1300 |
ISBN (Electronic) | 978-1-7281-0521-5 |
DOIs | |
Publication status | Published - 2019 |
MoE publication type | A4 Article in a conference publication |
Event | 6th International Conference on Control, Decision and Information Technologies - Paris, France Duration: 23 Apr 2019 → 26 Apr 2019 |
Conference
Conference | 6th International Conference on Control, Decision and Information Technologies |
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Abbreviated title | CoDIT'19 |
Country/Territory | France |
City | Paris |
Period | 23/04/19 → 26/04/19 |
Funding
Research leading to these results has received funding from the EU ECSEL Joint Undertaking under grant agreement n◦ 737459 (project Productive4.0) and from the partners’ national programmes/funding authorities (Business Finland).