A Methodology for Translating Piping and Instrumentation Diagrams (P&ID) Into Labeled Petri Nets for Automatic PLC Code Generation

This work proposes a novel methodology for translating industrial control systems, described in the standard ISA 5.1 (Piping and Instrumentation Diagrams P&ID) and the associated process and operation narratives, into Petri net models. In a first stage, the P&ID information and the process a...

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Bibliographic Details
Published in:IEEE access 2024, Vol.12, p.147235-147248
Main Authors: Guevara-Lozano, Daniel, Rozo-Ibanez, Durvvin, Vazquez, Carlos Renato, Ramirez-Trevino, Antonio
Format: Article
Language:English
Subjects:
Analytical models
Automatic control
Automation
Codes
Control design
Control equipment
Control systems design
Controllers
Industrial electronics
Instruments
Narratives
Petri nets
Piping
Process control
process modeling
Programmable logic controllers
Regulation
Solid modeling
Specifications
Symbols
Translating
Citations: Items that this one cites
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Summary:This work proposes a novel methodology for translating industrial control systems, described in the standard ISA 5.1 (Piping and Instrumentation Diagrams P&ID) and the associated process and operation narratives, into Petri net models. In a first stage, the P&ID information and the process and operation narratives are translated into standard tables. Since narratives are given in natural language, they are a potential source of errors, for this reason a semi-automatic error removal mechanism is included. Next, the tables' information is translated into plant and specification models, described by Labeled Petri nets (LPNs). Based on these LPNs, a LPN controller can be synthesized to drive the plant behavior according to the specification, by applying the regulation control approach introduced in the literature, resulting in PLC code for the automation of the process. The proposed approach saves time in the controller design, its commissioning, and debugging, in comparison with traditional trial-and-error approach.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2024.3475410