Comparison of data models for plant lifecycle information management

Pekka Siltanen; Antti Pärnänen

Comparison of data models for plant lifecycle information management

Pekka Siltanen
, Antti Pärnänen

BA5607 Data-driven sustainability

VTT (former employee or external)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

Several data models have been defined for enabling information interoperability during the process plant life cycle. The data models differ in details and their scopes are different, making it difficult to compare and evaluate them. While the importance of using commonly agreed standard data models has widely been accepted, the diversity of the models hinders companies from choosing between them when implementing e.g. data warehouses. In many cases this leads to implementing in-house, non-standard models. In this paper, criteria for evaluating and comparing data models are introduced. Five data models developed by international or national organizations are introduced and compared, based on the criteria.

Original language	English
Title of host publication	Proceedings of the 2006 conference on Leading the Web in Concurrent Engineering
Subtitle of host publication	Next Generation Concurrent Engineering
Editors	Parisa Ghodous, Rose Dieng-Kuntz, Geilson Loureiro
Place of Publication	Amsterdam
Publisher	IOS Press
Pages	346-353
ISBN (Electronic)	978-1-60750-194-7
ISBN (Print)	978-1-58603-651-5
Publication status	Published - 2006
MoE publication type	A4 Article in a conference publication
Event	13th ISPE International conference on concurrent engineering: research and applications - Antibes, France Duration: 18 Sept 2006 → 22 Sept 2006

Publication series

Series	Frontiers in Artificial Intelligence and Applications
Volume	143
ISSN	0922-6389

Conference

Conference	13th ISPE International conference on concurrent engineering: research and applications
Country/Territory	France
City	Antibes
Period	18/09/06 → 22/09/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Keywords

Plant modeling
interoperability
STEP
IFC
ISO 15926
AEX

Access to Document

https://dl.acm.org/doi/10.5555/1566652.1566705

Cite this

Siltanen, Pekka ; Pärnänen, Antti. / Comparison of data models for plant lifecycle information management. Proceedings of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering. editor / Parisa Ghodous ; Rose Dieng-Kuntz ; Geilson Loureiro. Amsterdam : IOS Press, 2006. pp. 346-353 (Frontiers in Artificial Intelligence and Applications, Vol. 143).

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title = "Comparison of data models for plant lifecycle information management",

abstract = "Several data models have been defined for enabling information interoperability during the process plant life cycle. The data models differ in details and their scopes are different, making it difficult to compare and evaluate them. While the importance of using commonly agreed standard data models has widely been accepted, the diversity of the models hinders companies from choosing between them when implementing e.g. data warehouses. In many cases this leads to implementing in-house, non-standard models. In this paper, criteria for evaluating and comparing data models are introduced. Five data models developed by international or national organizations are introduced and compared, based on the criteria.",

keywords = "Plant modeling, interoperability, STEP, IFC, ISO 15926, AEX",

author = "Pekka Siltanen and Antti P{\"a}rn{\"a}nen",

note = "Publisher Copyright: {\textcopyright} 2006 The authors. All rights reserved.; 13th ISPE International conference on concurrent engineering: research and applications ; Conference date: 18-09-2006 Through 22-09-2006",

year = "2006",

language = "English",

isbn = "978-1-58603-651-5",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

pages = "346--353",

editor = "Parisa Ghodous and Rose Dieng-Kuntz and Geilson Loureiro",

booktitle = "Proceedings of the 2006 conference on Leading the Web in Concurrent Engineering",

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}

Siltanen, P & Pärnänen, A 2006, Comparison of data models for plant lifecycle information management. in P Ghodous, R Dieng-Kuntz & G Loureiro (eds), Proceedings of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering. IOS Press, Amsterdam, Frontiers in Artificial Intelligence and Applications, vol. 143, pp. 346-353, 13th ISPE International conference on concurrent engineering: research and applications, Antibes, France, 18/09/06. <https://dl.acm.org/doi/10.5555/1566652.1566705>

Comparison of data models for plant lifecycle information management. / Siltanen, Pekka; Pärnänen, Antti.
Proceedings of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering. ed. / Parisa Ghodous; Rose Dieng-Kuntz; Geilson Loureiro. Amsterdam: IOS Press, 2006. p. 346-353 (Frontiers in Artificial Intelligence and Applications, Vol. 143).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Comparison of data models for plant lifecycle information management

AU - Siltanen, Pekka

AU - Pärnänen, Antti

PY - 2006

Y1 - 2006

N2 - Several data models have been defined for enabling information interoperability during the process plant life cycle. The data models differ in details and their scopes are different, making it difficult to compare and evaluate them. While the importance of using commonly agreed standard data models has widely been accepted, the diversity of the models hinders companies from choosing between them when implementing e.g. data warehouses. In many cases this leads to implementing in-house, non-standard models. In this paper, criteria for evaluating and comparing data models are introduced. Five data models developed by international or national organizations are introduced and compared, based on the criteria.

AB - Several data models have been defined for enabling information interoperability during the process plant life cycle. The data models differ in details and their scopes are different, making it difficult to compare and evaluate them. While the importance of using commonly agreed standard data models has widely been accepted, the diversity of the models hinders companies from choosing between them when implementing e.g. data warehouses. In many cases this leads to implementing in-house, non-standard models. In this paper, criteria for evaluating and comparing data models are introduced. Five data models developed by international or national organizations are introduced and compared, based on the criteria.

KW - Plant modeling

KW - interoperability

KW - STEP

KW - IFC

KW - ISO 15926

KW - AEX

UR - https://www.scopus.com/pages/publications/85139225791

M3 - Conference article in proceedings

SN - 978-1-58603-651-5

T3 - Frontiers in Artificial Intelligence and Applications

SP - 346

EP - 353

BT - Proceedings of the 2006 conference on Leading the Web in Concurrent Engineering

A2 - Ghodous, Parisa

A2 - Dieng-Kuntz, Rose

A2 - Loureiro, Geilson

PB - IOS Press

CY - Amsterdam

T2 - 13th ISPE International conference on concurrent engineering: research and applications

Y2 - 18 September 2006 through 22 September 2006

ER -

Siltanen P, Pärnänen A. Comparison of data models for plant lifecycle information management. In Ghodous P, Dieng-Kuntz R, Loureiro G, editors, Proceedings of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering. Amsterdam: IOS Press. 2006. p. 346-353. (Frontiers in Artificial Intelligence and Applications, Vol. 143).

Comparison of data models for plant lifecycle information management

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this