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Driven by the idea to use alarm data to explore machine learning across Industry 4.0 applications, the goal of this pilot study was to explore how to collect, store, manage and share data from the ESS Control System. Generally, we seek to make any control system data available for research and innovation but started with alarms as a feasible domain in which to explore machine learning. The goals were threefold, each explored in a work package:
1. How to govern a data ecosystem, and which tools are needed to support it?
2. How can alarm data be interpreted across industrial contexts, i.e., which meta data
and reference models are needed?
3. How can data sharing be practically and legally handled at ESS?
In summary, we identify a set of potential alleys for continued work to foster industrial innovation and collaboration in a control system data ecosystem with ESS as a catalyst.
FörlagLunds Universitet/Lunds Tekniska Högskola
Antal sidor2
StatusPublished - 2021 feb. 19


NamnTechnical report
FörlagLund University, department of computer science
ISSN (tryckt)1404-1200

Ämnesklassifikation (UKÄ)

  • Systemvetenskap, informationssystem och informatik


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