The last years have shown the great importance of monitoring techniques applied to corrosion control in process industries. These techniques depend strongly on systems for data acquisition, data treatment/analysis and automatic control. This monitoring task can be improved by the application of modem computer based solutions as intelligent systems.

This paper presents the foundation of Distributed Artificial Intelligence and Multi-Agent Systems applied to corrosion control as well as presents the researches and developments of a community of expert systems (agents) for corrosion control in a crude unit environment of a petroleum refinery. The main difference between this approach and the control based on only one expert system is that in a multi-agent system several expert systems are developed each one to take care of a small part of the process. It allows the user to develop a better control of these process parts. The use of multi-agent systems also allow some independence of proprietary communication protocols.

Subject
Sulfur, Organizations, Sensors, Materials, Structures, Tools, Furnaces, Personnel, Corrosion data, Towers, Crude units, Corrosion protection, Corrosion monitoring
Keywords:
Corrosion Control, Monitoring, Distributed Artificial Intelligence, Multi-Agent Systems
© 1996 Association for Materials Protection and Performance (AMPP). All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise) without the prior written permission of AMPP. Positions and opinions advanced in this work are those of the author(s) and not necessarily those of AMPP. Responsibility for the content of the work lies solely with the author(s).
1996
Association for Materials Protection and Performance (AMPP)
You do not currently have access to this content.