Conference Paper

A Multiagent Model for Intelligent Distributed Control Systems.

DOI: 10.1007/11552413_28 Conference: Knowledge-Based Intelligent Information and Engineering Systems, 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part I
Source: DBLP

ABSTRACT One approach for automating industrial processes is a Distributed Control System (DCS) based on a hierarchical architecture.
In this hierarchy, each level is characterized by a group of different tasks to be carried out within the control system and
by using and generating different information. In this article, a reference model for the development of Intelligent Distributed
Control Systems based on Agents (IDCSA) inspired by this hierarchical architecture is presented. The agents of this model
are classified in two categories: control agents and service management environment agents. To define these agents we have
used an extension of the MAS-Common KADS methodology for Multi-Agent Systems (MAS).

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    ABSTRACT: En este artículo se presenta una metodología que comprende las fases de conceptualización, análisis, diseño, codificación y pruebas de sistemas de ingeniería basados en agentes, fundamentada en la metodología MultiAgent Systems for INtegrated Automation (MASINA), desarrollada para especificar sistemas multiagentes en ambientes de automatización industrial. La metodología propuesta usa el Lenguaje de Modelado Unificado (UML), ampliamente usado para modelar sistemas de software, y la Técnica de Desarrollo de Sistemas de Objetos (TDSO), la cual es una herramienta para la especificación formal de modelos orientados a objetos. Siguiendo los lineamientos metodológicos para la especificación de sistemas de ingeniería, MASINA se inicia con la fase de conceptualización que permite identificar aquellos componentes del sistema que serán considerados agentes y proponer la arquitectura del sistema multiagentes correspondiente. Estos agentes y sus interrelaciones son especificados e implementados en las fases restantes de la metodología propuesta, usando diagramas UML en la fase de análisis y diseño, y plantillas de TDSO en la fase de diseño.
    Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial, ISSN 1137-3601, Nº. 38, 2008, pags. 39-60. 01/2008;
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    ABSTRACT: Concerning industrial automation, the management of abnormal situations becomes more important everyday. The ability to detect, isolate, and handle abnormal situations in industrial installations, could save huge amounts of money which is normally invested in reparations and/or wasted because of unjustified stoppage of processing plants. In this work, a system for the management of abnormal situations in an artificially gas-lifted well based on agents Abnormal Situations Management System (ASMS) is developed, which is part of the architecture of the industrial automation based on multi-agents systems (SADIA) proposed in Bravo, Aguilar, and Rivas (2004). This agent is based on the intelligent distributed control system based on agents (IDCSBA) reference model proposed in Aguilar, Cerrada, Mousalli, Rivas, and Hidrobo (2005). The MASINA methodology (Aguilar, Hidrobo, and Cerrada 2007) is used in matters of analysis, design, and implementation.
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