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ESS Control System Data Lab - Executive Summary

Runeson, Per LU ; Andersson, Per LU ; Hall, Anna ; Larsson, Jan Eric LU ; Rathsman, Karin LU and Söderberg, Emma LU (2021) In Technical report
Abstract
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... (More)
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. (Less)
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author
; ; ; ; and
organization
publishing date
type
Book/Report
publication status
published
subject
in
Technical report
issue
105
pages
2 pages
publisher
Lunds Universitet/Lunds Tekniska Högskola
ISSN
1404-1200
1404-1200
project
ESS Data Lab
language
English
LU publication?
yes
id
1dda6ef9-73e8-4fd9-921d-0bbe652ac43b
date added to LUP
2021-02-22 15:04:37
date last changed
2021-05-05 11:14:50
@techreport{1dda6ef9-73e8-4fd9-921d-0bbe652ac43b,
  abstract     = {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:<br/>1. How to govern a data ecosystem, and which tools are needed to support it?<br/>2. How can alarm data be interpreted across industrial contexts, i.e., which meta data<br/>and reference models are needed?<br/>3. How can data sharing be practically and legally handled at ESS?<br/>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.},
  author       = {Runeson, Per and Andersson, Per and Hall, Anna and Larsson, Jan Eric and Rathsman, Karin and Söderberg, Emma},
  institution  = {Lunds Universitet/Lunds Tekniska Högskola},
  issn         = {1404-1200},
  language     = {eng},
  month        = {02},
  number       = {105},
  series       = {Technical report},
  title        = {ESS Control System Data Lab - Executive Summary},
  url          = {https://lup.lub.lu.se/search/ws/files/94381963/ESS_CSDL_Executive_Summary_v2.pdf},
  year         = {2021},
}