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Authors: David Hästbacka 1 ; Petri Kannisto 2 and Matti Vilkko 2

Affiliations: 1 Laboratory of Pervasive Computing, Tampere University of Technology, Korkeakoulunkatu 1, FI-33720 Tampere and Finland ; 2 Laboratory of Automation and Hydraulic Engineering, Tampere University of Technology, Korkeakoulunkatu 3, FI-33720 Tampere and Finland

Keyword(s): Information Models, Data Exchange, Interoperability, Industrial Processes.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Communication, Collaboration and Information Sharing ; Enterprise Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Metadata and Structured Documents ; Symbolic Systems

Abstract: The efficiency of industrial processes depends on how well the processes can be controlled and this affects the quality, use of resources as well as the environmental impact. Advanced monitoring and control solutions for large-scale industrial processes require information from different systems. The challenge in integration is diverse messaging structures and lack of common semantics in exchange of information between related information systems as well as their human operators. This paper provides a comparison of some of the existing standards of the domain defining suitable structures. Based on these, a model for data and event message structures is developed. The approach builds on a separation of concerns keeping the messaging semantics independent of the transport layer. The requirement is to enable also asynchronous communication as adapters are often needed in distributed environments with heterogeneous systems and communication protocols. The developed structures have been f ound suitable for communicating measurements and events in industrial process settings as shown by case examples. (More)

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Paper citation in several formats:
Hästbacka, D.; Kannisto, P. and Vilkko, M. (2018). Information Models and Information Exchange in Plant-wide Monitoring and Control of Industrial Processes. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KMIS; ISBN 978-989-758-330-8; ISSN 2184-3228, SciTePress, pages 216-222. DOI: 10.5220/0006960602160222

@conference{kmis18,
author={David Hästbacka. and Petri Kannisto. and Matti Vilkko.},
title={Information Models and Information Exchange in Plant-wide Monitoring and Control of Industrial Processes},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KMIS},
year={2018},
pages={216-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006960602160222},
isbn={978-989-758-330-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KMIS
TI - Information Models and Information Exchange in Plant-wide Monitoring and Control of Industrial Processes
SN - 978-989-758-330-8
IS - 2184-3228
AU - Hästbacka, D.
AU - Kannisto, P.
AU - Vilkko, M.
PY - 2018
SP - 216
EP - 222
DO - 10.5220/0006960602160222
PB - SciTePress