Tools and Ecosystems for Open Control Systems Data at ESS

Per Runeson; Emma Söderberg

Tools and Ecosystems for Open Control Systems Data at ESS

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Sammanfattning

We see a potential for ESS to benefit from sharing alarm data for machine learning applications, by establishing data ecosystem. To achieve these goal, ESS must make a strategic decision to pursue data sharing, establish a technical platform to share a digital twin, continue advancing the data ecosystem, and work towards a standardized reference model.

Originalspråk	engelska
Förlag	Lunds Universitet/Lunds Tekniska Högskola
Uppdragsgivare	Swedish Government Agency for Innovation Systems (Vinnova)
Antal sidor	4
Status	Published - 2021 jan. 25

Publikationsserier

Namn	Technical report
Förlag	Lund University, department of computer science
Nr.	106
ISSN (tryckt)	1404-1200

Ämnesklassifikation (UKÄ)

Systemvetenskap, informationssystem och informatik

Tillgång till dokument

ESS_tools_and_ecosystems_finalPublicerad version, 1,82 MBLicens: CC BY

ESS Data Lab
Runeson, P. (PI)
Swedish Government Agency for Innovation Systems (Vinnova)
2020/02/01 → 2021/01/31
Projekt: Forskning

Citera det här

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AU - Runeson, Per

AU - Söderberg, Emma

PY - 2021/1/25

Y1 - 2021/1/25

N2 - We see a potential for ESS to benefit from sharing alarm data for machine learning applications, by establishing data ecosystem. To achieve these goal, ESS must make a strategic decision to pursue data sharing, establish a technical platform to share a digital twin, continue advancing the data ecosystem, and work towards a standardized reference model.

AB - We see a potential for ESS to benefit from sharing alarm data for machine learning applications, by establishing data ecosystem. To achieve these goal, ESS must make a strategic decision to pursue data sharing, establish a technical platform to share a digital twin, continue advancing the data ecosystem, and work towards a standardized reference model.

Tools and Ecosystems for Open Control Systems Data at ESS

Sammanfattning

Publikationsserier

Ämnesklassifikation (UKÄ)

Tillgång till dokument

Fingeravtryck

Projekt

ESS Data Lab

Citera det här