IoT Architecture and Solutions for Predictive Maintenance of Mobile Machinery

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Continuous development of advanced web and IoT technologies facilitate new solutions for scalable data management systems. Data can be transferred over the internet efficiently in standardized formats. We propose a system architecture applicable to both mobile machinery and other industries. We introduce standards and technologies for collecting and analysing data in addition to exchanging the data in cloud applications and with partner systems. Data is exchanged in a standardized MIMOSA CCOM format over efficient MQTT communication protocol for near real-time updates of operation. Eclipse Arrowhead framework is used to securely manage the edge and cloud services. VTT O&M Analytics provide predictive maintenance services for mobile machinery based on the collected data. We describe in detail a system designed for collecting and analysing data from the combination seed drill. Our architecture facilitates monitoring and predictive maintenance, thus improving crop yields and OEE.
Original languageEnglish
Title of host publicationIECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Institute of Electrical and Electronic Engineers
Number of pages6
ISBN (Electronic)978-1-6654-8025-3
ISBN (Print)978-1-6654-8026-0
DOIs
Publication statusPublished - 9 Dec 2022
MoE publication typeA4 Article in a conference publication
Event48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Belgium
Duration: 17 Oct 202220 Oct 2022

Conference

Conference48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Country/TerritoryBelgium
CityBrussels
Period17/10/2220/10/22

Keywords

  • CCOM
  • MQTT
  • arrowhead
  • Arrowhead

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