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Automating operating procedure synthesis for batch processes: Part I. Knowledge representation and planning framework

Viswanathan, Shankar ; Johnsson, Charlotta LU ; Srinivasan, Rajagopalan ; Venkatasubramanian, Venkat and Årzén, Karl-Erik LU orcid (1998) In Computers and Chemical Engineering 22(11). p.1673-1685
Abstract
Automating the synthesis of operating procedures for batch processes is very valuable as plant personnel often spend considerable amount of time and effort in preparing and verifying them for correctness and completeness. Towards this goal, a framework for automating operating procedure synthesis for batch processes is proposed in this paper. We propose an approach based on Grafcet, a discrete event modeling concept, to represent procedural knowledge combined with an object-oriented representation of the declarative knowledge. Grafcet is also used to model the information; called inferred knowledge, that is incrementally generated during operating procedure synthesis. The details of the basic components and the advanced features of Grafcet... (More)
Automating the synthesis of operating procedures for batch processes is very valuable as plant personnel often spend considerable amount of time and effort in preparing and verifying them for correctness and completeness. Towards this goal, a framework for automating operating procedure synthesis for batch processes is proposed in this paper. We propose an approach based on Grafcet, a discrete event modeling concept, to represent procedural knowledge combined with an object-oriented representation of the declarative knowledge. Grafcet is also used to model the information; called inferred knowledge, that is incrementally generated during operating procedure synthesis. The details of the basic components and the advanced features of Grafcet that make it a suitable technique for modeling the procedural and inferred knowledge are presented. A hierarchical planning strategy is proposed that uses the declarative and procedural knowledge to generate the inferred knowledge incrementally, which leads to the synthesis of the operating procedures. The implementa- tion of this framework and its application to an industrial case study are presented in Part II. (Less)
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; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Computers and Chemical Engineering
volume
22
issue
11
pages
1673 - 1685
publisher
Elsevier
external identifiers
  • scopus:0032532835
DOI
10.1016/S0098-1354(98)00228-2
language
English
LU publication?
yes
id
94034744-2456-4cb2-830c-056da0e6076a (old id 7762599)
date added to LUP
2016-04-04 11:36:47
date last changed
2022-02-06 07:36:37
@article{94034744-2456-4cb2-830c-056da0e6076a,
  abstract     = {{Automating the synthesis of operating procedures for batch processes is very valuable as plant personnel often spend considerable amount of time and effort in preparing and verifying them for correctness and completeness. Towards this goal, a framework for automating operating procedure synthesis for batch processes is proposed in this paper. We propose an approach based on Grafcet, a discrete event modeling concept, to represent procedural knowledge combined with an object-oriented representation of the declarative knowledge. Grafcet is also used to model the information; called inferred knowledge, that is incrementally generated during operating procedure synthesis. The details of the basic components and the advanced features of Grafcet that make it a suitable technique for modeling the procedural and inferred knowledge are presented. A hierarchical planning strategy is proposed that uses the declarative and procedural knowledge to generate the inferred knowledge incrementally, which leads to the synthesis of the operating procedures. The implementa- tion of this framework and its application to an industrial case study are presented in Part II.}},
  author       = {{Viswanathan, Shankar and Johnsson, Charlotta and Srinivasan, Rajagopalan and Venkatasubramanian, Venkat and Årzén, Karl-Erik}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{1673--1685}},
  publisher    = {{Elsevier}},
  series       = {{Computers and Chemical Engineering}},
  title        = {{Automating operating procedure synthesis for batch processes: Part I. Knowledge representation and planning framework}},
  url          = {{http://dx.doi.org/10.1016/S0098-1354(98)00228-2}},
  doi          = {{10.1016/S0098-1354(98)00228-2}},
  volume       = {{22}},
  year         = {{1998}},
}