Cooperative Multi-Agent-Based Supervisory Control and Data-Acquisition System

Juichi KOSAKAYA; Katsunori YAMAOKA

Cooperative Multi-Agent-Based Supervisory Control and Data-Acquisition System

Juichi KOSAKAYA, Katsunori YAMAOKA

Full Text Views

0

Cite this

Summary :

A method is described for improving cooperation in supervisory control and data acquisition (SCADA) systems that uses multi-agent (MA) intelligent field terminals (IFTs). The MA function of each IFT evaluates the control conditions of the overall system and the conditions of the other IFTs. To shorten the turn-around time for data transfer among IFTs, the conflicts that occur when the data processed by different IFTs is inconsistent or irregular are cooperatively and autonomously resolved by predictive agents incorporated into each IFT. Experimental results showed that this method not only provides adequate control but also reduces the load on the network and the turn-around time when the number of IFTs is less than 30.

Publication: IEICE TRANSACTIONS on Information Vol.E85-D No.7 pp.1105-1117

Publication Date: 2002/07/01

Publicized

Online ISSN

DOI

Type of Manuscript: PAPER

Category: Cooperation in Distributed Systems and Agents

Cite this

Copy

Juichi KOSAKAYA, Katsunori YAMAOKA, "Cooperative Multi-Agent-Based Supervisory Control and Data-Acquisition System" in IEICE TRANSACTIONS on Information, vol. E85-D, no. 7, pp. 1105-1117, July 2002, doi: .
Abstract: A method is described for improving cooperation in supervisory control and data acquisition (SCADA) systems that uses multi-agent (MA) intelligent field terminals (IFTs). The MA function of each IFT evaluates the control conditions of the overall system and the conditions of the other IFTs. To shorten the turn-around time for data transfer among IFTs, the conflicts that occur when the data processed by different IFTs is inconsistent or irregular are cooperatively and autonomously resolved by predictive agents incorporated into each IFT. Experimental results showed that this method not only provides adequate control but also reduces the load on the network and the turn-around time when the number of IFTs is less than 30.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_7_1105/_p

Copy

@ARTICLE{e85-d_7_1105,
author={Juichi KOSAKAYA, Katsunori YAMAOKA, },
journal={IEICE TRANSACTIONS on Information},
title={Cooperative Multi-Agent-Based Supervisory Control and Data-Acquisition System},
year={2002},
volume={E85-D},
number={7},
pages={1105-1117},
abstract={A method is described for improving cooperation in supervisory control and data acquisition (SCADA) systems that uses multi-agent (MA) intelligent field terminals (IFTs). The MA function of each IFT evaluates the control conditions of the overall system and the conditions of the other IFTs. To shorten the turn-around time for data transfer among IFTs, the conflicts that occur when the data processed by different IFTs is inconsistent or irregular are cooperatively and autonomously resolved by predictive agents incorporated into each IFT. Experimental results showed that this method not only provides adequate control but also reduces the load on the network and the turn-around time when the number of IFTs is less than 30.},
keywords={},
doi={},
ISSN={},
month={July},}

Copy

TY - JOUR
TI - Cooperative Multi-Agent-Based Supervisory Control and Data-Acquisition System
T2 - IEICE TRANSACTIONS on Information
SP - 1105
EP - 1117
AU - Juichi KOSAKAYA
AU - Katsunori YAMAOKA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2002
AB - A method is described for improving cooperation in supervisory control and data acquisition (SCADA) systems that uses multi-agent (MA) intelligent field terminals (IFTs). The MA function of each IFT evaluates the control conditions of the overall system and the conditions of the other IFTs. To shorten the turn-around time for data transfer among IFTs, the conflicts that occur when the data processed by different IFTs is inconsistent or irregular are cooperatively and autonomously resolved by predictive agents incorporated into each IFT. Experimental results showed that this method not only provides adequate control but also reduces the load on the network and the turn-around time when the number of IFTs is less than 30.
ER -