Automatic P&ID Generation for Machine Systems Using EPLAN Software
Abdolmaleki, Fereidoon (2025)
Abdolmaleki, Fereidoon
2025
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202504298286
https://urn.fi/URN:NBN:fi:amk-202504298286
Tiivistelmä
This thesis explores the automation of Piping and Instrumentation Diagram (P&ID) generation using EPLAN software, addressing the significant time and resource investment traditionally required for engineering documentation. The research focuses on developing a systematic methodology for creating and implementing automated P&ID generation processes, particularly emphasizing flotation cell systems within Metso's product portfolio.
The study presents a structured approach to P&ID automation through the implementation of macro technology and preplanning functionality in EPLAN. The methodology includes developing modular macro components, establishing standardized project structures, and integrating Process Control Technology (PCT) loops following ISA 5.1 standards. The research demonstrates how complex P&ID documentation can be decomposed into reusable partial macros that can be recombined to generate multiple equipment variants.
The thesis also details the implementation of pre-planning data management through structured Excel integration, enabling the systematic importation of engineering specifications and the automated generation of P&ID documentation. This approach significantly reduces manual documentation effort while maintaining consistency and accuracy across project deliverables.
The results demonstrate successful implementation within Metso's Flotation product group, specifically for TankCell projects, with the potential for expansion to other product lines. This automation methodology offers substantial benefits in terms of reduced engineering hours, improved documentation accuracy, and enhanced standardization of engineering deliverables.
The study presents a structured approach to P&ID automation through the implementation of macro technology and preplanning functionality in EPLAN. The methodology includes developing modular macro components, establishing standardized project structures, and integrating Process Control Technology (PCT) loops following ISA 5.1 standards. The research demonstrates how complex P&ID documentation can be decomposed into reusable partial macros that can be recombined to generate multiple equipment variants.
The thesis also details the implementation of pre-planning data management through structured Excel integration, enabling the systematic importation of engineering specifications and the automated generation of P&ID documentation. This approach significantly reduces manual documentation effort while maintaining consistency and accuracy across project deliverables.
The results demonstrate successful implementation within Metso's Flotation product group, specifically for TankCell projects, with the potential for expansion to other product lines. This automation methodology offers substantial benefits in terms of reduced engineering hours, improved documentation accuracy, and enhanced standardization of engineering deliverables.