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Use of Expert Systems for Ammonia Plant Diagnostice, Traning, and Safety

IP.com Disclosure Number: IPCOM000218817D
Publication Date: 2012-Jun-07

Publishing Venue

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Page 01 of 15

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 INTRODUCTIONTO EXPERT SYSTEMS AND POTENTIALAMMONIA PLANTAPPLICATIONS

by

S. Madhavan and R.A. Kirsten The M.W. Kellogg Company Houston, Texas, U.S.A.

 Presented at the 1988 Ammonia Symposium Safety in Ammonia Plants and Related Facilities

American Institute of Chemical Engineers Denver, Colorado

August 1988

h l d h

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Page 02 of 15

EXPERT SYSTEMS

TABLE OF CONTENTS


I.


II. Ill.


IV.

Abstract

Introduction

What is an Expert System?

Expert System Shells

Process Plant Applications


1. ProcessTrouble-shootingand Diagnostics


2. Process Alarm Management


3. Process Control

0 Closed Loop OpenLoop


4. Operator Training


5. Safety Studies and Risk Analysis


6. Maintenance Applications

Page

i

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3 3

4 4 5

5

6 6


V.-Methodology for Implementation ._____I_______-___-

.A

7

9

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VI, Applicatisns in Ammonia Plants


VII. Conclusions

Bibliography

Appendices

Figure 1. Structure of Expert System

Figure 2. Logic Tree for Trouble-shootinga Carbonate

C02 Removal System 11 12


Page 03 of 15

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EXPERT SYSTEMS

ABSTRACT

Expert Systems are being used increasingly as a powerful tool in capturing the knowledgeof experts and making them available to the users as a diagnostic tool. This paper introduces expert systems to the reader and deals with a conceptual approach for applying them to ammonia plants, on an off-linebasis, in plant problem diagnostics, operator training, safety studies and risk analysis. A specific example is given for an ammonia plant. The ultimate use for online process control is also visited. The methodology for developing an expert system for an ammonia plant, including all aspects such as problem definition, expert system specifications, knowledge-base acquisition, and implementation are discussed.


Page 04 of 15

. . EXPERTSYSTEMS

 INTRODUCTION TO EXPERT SYSTEMS AND POTENTIAL AMMONIA PLANT APPLICATIONS

by


S. Madhavan and R.A. Kirsten


I. INTRODUCTION

Expert Systems have gained increased popularity within the last few years both in the academic world and in the industrial circles, as an outgrowth of Artificial Intelligence (AI) and robotics. The concepts of knowledge-basedsystems and artificial intelligence have been around for a few decades. AI and expert systems are being used increasingly in the automobile, aerospace, and manufacturing industries as well as in the medical diagnostics, banking, insurance business, and the military fields. The application of the expert system methodology for the process plants has gained momentum with the availability of a number of expert system shells and AI workstations. In addition to several major operating companies, many consultants, "shell" vendors, control system vendors, and the nuclear power plant industry are actively pursuing applicationsof expert systems.

Expert systems are ideally suited for solving problems for which conventional solution methods are inadequate - for example, where no mathematical or algorithmic solution exists because data is inexact, qualitative, uncertain, or based on probabiliti...