Hybrid multi-agent system for knowledge management in distributed control system

Dariusz Choinski; Mieczyslaw Metzger; Witold Nocon

doi:10.1007/978-3-642-21219-2_17

Hybrid multi-agent system for knowledge management in distributed control system

Dariusz Choinski
, Mieczyslaw Metzger
, Witold Nocon

Katedra Automatyki i Robotyki (RAU/RAU3)

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

Abstrakt

DCS (Distributed Control System) software systems are one of the typical applications in industry used for monitoring, measurement and control. The paper deals with knowledge management based on Hybrid Multi-Agent System environment and the presented solutions are intended to enable dual abstraction of DCS both for ontology and control system design in a platform independent way. Hybrid Multi-Agent based software systems successfully join both reliability and efficiency in knowledge management processes which is a key aspect of robust automation software system. The proposed hybrid control system is designed for stimulation of wastewater treatment pilot process.

Język oryginału	angielski
Tytuł publikacji goszczącej	Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings
Wydawca	Springer Verlag
Strony	124-131
Liczba stron	8
Edycja	PART 1
ISBN (drukowany)	9783642212185
Identyfikatory DOI	https://doi.org/10.1007/978-3-642-21219-2_17
Status publikacji	Opublikowano - 2011

Seria publikacji

Nazwa	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Numer	PART 1
Tom	6678 LNAI
ISSN (drukowany)	0302-9743
ISSN (elektroniczny)	1611-3349

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 6 Czysta woda i higiena
Cel 9 Przemysł, innowacje i infrastruktura

Obszary tematyczne ASJC Scopus

Informatyka teoretyczna
Informatyka ogólna

Uzyskaj dostęp do dokumentu

10.1007/978-3-642-21219-2_17

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Choinski, D., Metzger, M., & Nocon, W. (2011). Hybrid multi-agent system for knowledge management in distributed control system. W Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings (PART 1 red., str. 124-131). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 6678 LNAI, Nr PART 1). Springer Verlag. https://doi.org/10.1007/978-3-642-21219-2_17

Choinski, Dariusz ; Metzger, Mieczyslaw ; Nocon, Witold. / Hybrid multi-agent system for knowledge management in distributed control system. Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings. PART 1. red. Springer Verlag, 2011. str. 124-131 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{1174fa38000b44efae100a1af5812ee9,

title = "Hybrid multi-agent system for knowledge management in distributed control system",

abstract = "DCS (Distributed Control System) software systems are one of the typical applications in industry used for monitoring, measurement and control. The paper deals with knowledge management based on Hybrid Multi-Agent System environment and the presented solutions are intended to enable dual abstraction of DCS both for ontology and control system design in a platform independent way. Hybrid Multi-Agent based software systems successfully join both reliability and efficiency in knowledge management processes which is a key aspect of robust automation software system. The proposed hybrid control system is designed for stimulation of wastewater treatment pilot process.",

keywords = "Bioprocess stimulation, Distributed Control System, Hybrid Multi-Agent System, Knowledge management, OPC, Ontology",

author = "Dariusz Choinski and Mieczyslaw Metzger and Witold Nocon",

year = "2011",

doi = "10.1007/978-3-642-21219-2\_17",

language = "English",

isbn = "9783642212185",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

number = "PART 1",

pages = "124--131",

booktitle = "Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings",

address = "Germany",

edition = "PART 1",

}

Choinski, D, Metzger, M & Nocon, W 2011, Hybrid multi-agent system for knowledge management in distributed control system. w Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings. PART 1 wyd., Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), nr PART 1, tom 6678 LNAI, Springer Verlag, str. 124-131. https://doi.org/10.1007/978-3-642-21219-2_17

Hybrid multi-agent system for knowledge management in distributed control system. / Choinski, Dariusz; Metzger, Mieczyslaw; Nocon, Witold.
Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings. PART 1. red. Springer Verlag, 2011. str. 124-131 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 6678 LNAI, Nr PART 1).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Hybrid multi-agent system for knowledge management in distributed control system

AU - Choinski, Dariusz

AU - Metzger, Mieczyslaw

AU - Nocon, Witold

PY - 2011

Y1 - 2011

N2 - DCS (Distributed Control System) software systems are one of the typical applications in industry used for monitoring, measurement and control. The paper deals with knowledge management based on Hybrid Multi-Agent System environment and the presented solutions are intended to enable dual abstraction of DCS both for ontology and control system design in a platform independent way. Hybrid Multi-Agent based software systems successfully join both reliability and efficiency in knowledge management processes which is a key aspect of robust automation software system. The proposed hybrid control system is designed for stimulation of wastewater treatment pilot process.

AB - DCS (Distributed Control System) software systems are one of the typical applications in industry used for monitoring, measurement and control. The paper deals with knowledge management based on Hybrid Multi-Agent System environment and the presented solutions are intended to enable dual abstraction of DCS both for ontology and control system design in a platform independent way. Hybrid Multi-Agent based software systems successfully join both reliability and efficiency in knowledge management processes which is a key aspect of robust automation software system. The proposed hybrid control system is designed for stimulation of wastewater treatment pilot process.

KW - Bioprocess stimulation

KW - Distributed Control System

KW - Hybrid Multi-Agent System

KW - Knowledge management

KW - OPC

KW - Ontology

UR - https://www.scopus.com/pages/publications/85038031445

U2 - 10.1007/978-3-642-21219-2_17

DO - 10.1007/978-3-642-21219-2_17

M3 - Conference contribution

AN - SCOPUS:85038031445

SN - 9783642212185

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 124

EP - 131

BT - Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings

PB - Springer Verlag

ER -

Choinski D, Metzger M, Nocon W. Hybrid multi-agent system for knowledge management in distributed control system. W Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings. PART 1 red. Springer Verlag. 2011. str. 124-131. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-21219-2_17

Hybrid multi-agent system for knowledge management in distributed control system

Abstrakt

Seria publikacji

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

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Cytowanie