By Topic

Distributed supervisory system with cooperative multi-agent FEP

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Kosakaya, J. ; Hitachi Eng. Co., Ltd., Ibaraki, Japan ; Kobayashi, A. ; Yamaoka, K.

A large-scale distributed supervisory system that services a large area should ideally be capable of performing automatically optimal control based on various types of data provided by the controlled equipment. However, conventional systems have generally been configured so that pre-ordained transmission and reception processes are the input to the FEP (front end processor) unit according to various criteria of the data provided by the controlled equipment (e.g., the type and significance of the data, its priority, and its designated destination), while the host computer sends back a response to the controlled equipment based on the data transferred from the FEP according to preset optimal control algorithm. But to achieve fundamental improvements of system speed and reduce the load on the host computer, one must adopt the configuration in which the FEP can make automatic judgments regarding the criteria of data provided by a diverse variety of controlled equipment, instead of having to devise system-wide algorithms based on predetermined criteria in the data provided by the controlled equipment. To configure an FEP for this sort of system, we propose a method where a plurality of programs that identify the conditions of a specific type of data are prepared separately and integrated by means of a multi-agent architecture.

Published in:

Distributed Computing Systems Workshops, 2002. Proceedings. 22nd International Conference on

Date of Conference: