Enhancing consistency in piping and instrumentation diagrams using DistilBERT and smart PID systems
This study presents a novel approach utilizing DistilBERT, a lightweight variant of BERT, to identify inconsistencies in piping and instrumentation diagrams (P&IDs) within SmartPID systems. A structured dataset was constructed by extracting engineering design data from a SQL-based SmartPID datab...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Systems and Soft Computing |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772941925001929 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849402535719206912 |
|---|---|
| author | F.S. Gómez-Vega O. Acuña Andrea C. Camargo Jeison D. Jimenez Sara M. Galeano Isabella E. Franco Laura L. Lozano Jenifer Vásquez Edwin Puertas |
| author_facet | F.S. Gómez-Vega O. Acuña Andrea C. Camargo Jeison D. Jimenez Sara M. Galeano Isabella E. Franco Laura L. Lozano Jenifer Vásquez Edwin Puertas |
| author_sort | F.S. Gómez-Vega |
| collection | DOAJ |
| description | This study presents a novel approach utilizing DistilBERT, a lightweight variant of BERT, to identify inconsistencies in piping and instrumentation diagrams (P&IDs) within SmartPID systems. A structured dataset was constructed by extracting engineering design data from a SQL-based SmartPID database, monitoring all modifications and updates made throughout the design phase. The DistilBERT model was fine-tuned on this dataset to recognize inconsistencies in real-time, achieving an impressive F1 score of 99% and a loss of 0.04%. The model’s performance was validated by domain experts, who confirmed the detected inconsistencies as highly accurate. Our approach significantly reduces the manual effort required for P&ID review and improves design consistency, demonstrating the potential for enhanced safety and efficiency in complex industrial projects. Future work will focus on refining the model’s parameters and expanding its application across different industries. |
| format | Article |
| id | doaj-art-2aa476f3a8bc4fdd927fdbc19faccb71 |
| institution | Kabale University |
| issn | 2772-9419 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Systems and Soft Computing |
| spelling | doaj-art-2aa476f3a8bc4fdd927fdbc19faccb712025-08-20T03:37:31ZengElsevierSystems and Soft Computing2772-94192025-12-01720037310.1016/j.sasc.2025.200373Enhancing consistency in piping and instrumentation diagrams using DistilBERT and smart PID systemsF.S. Gómez-Vega0O. Acuña1Andrea C. Camargo2Jeison D. Jimenez3Sara M. Galeano4Isabella E. Franco5Laura L. Lozano6Jenifer Vásquez7Edwin Puertas8Department of Innovation, SERINGTEC S.A.S, Km. 5 Vía Mamonal - Complejo Logístico del Caribe (CLC), Local 11, Cartagena, 130013, Bolivar, ColombiaDepartment of Innovation, SERINGTEC S.A.S, Km. 5 Vía Mamonal - Complejo Logístico del Caribe (CLC), Local 11, Cartagena, 130013, Bolivar, ColombiaDepartment of Innovation, SERINGTEC S.A.S, Km. 5 Vía Mamonal - Complejo Logístico del Caribe (CLC), Local 11, Cartagena, 130013, Bolivar, ColombiaDepartment of Innovation, SERINGTEC S.A.S, Km. 5 Vía Mamonal - Complejo Logístico del Caribe (CLC), Local 11, Cartagena, 130013, Bolivar, Colombia; School of Digital Transformation, Universidad Tecnológica de Bolívar, Km 1 via a Turbaco, Turbaco, 130001, Bolivar, ColombiaDepartment of Innovation, SERINGTEC S.A.S, Km. 5 Vía Mamonal - Complejo Logístico del Caribe (CLC), Local 11, Cartagena, 130013, Bolivar, ColombiaDepartment of Innovation, SERINGTEC S.A.S, Km. 5 Vía Mamonal - Complejo Logístico del Caribe (CLC), Local 11, Cartagena, 130013, Bolivar, ColombiaDepartment of Innovation, SERINGTEC S.A.S, Km. 5 Vía Mamonal - Complejo Logístico del Caribe (CLC), Local 11, Cartagena, 130013, Bolivar, ColombiaSchool of Engineering, Architecture & Design, Universidad Tecnológica de Bolívar, Km 1 via a Turbaco, Turbaco, 130001, Bolivar, ColombiaSchool of Digital Transformation, Universidad Tecnológica de Bolívar, Km 1 via a Turbaco, Turbaco, 130001, Bolivar, Colombia; Corresponding author.This study presents a novel approach utilizing DistilBERT, a lightweight variant of BERT, to identify inconsistencies in piping and instrumentation diagrams (P&IDs) within SmartPID systems. A structured dataset was constructed by extracting engineering design data from a SQL-based SmartPID database, monitoring all modifications and updates made throughout the design phase. The DistilBERT model was fine-tuned on this dataset to recognize inconsistencies in real-time, achieving an impressive F1 score of 99% and a loss of 0.04%. The model’s performance was validated by domain experts, who confirmed the detected inconsistencies as highly accurate. Our approach significantly reduces the manual effort required for P&ID review and improves design consistency, demonstrating the potential for enhanced safety and efficiency in complex industrial projects. Future work will focus on refining the model’s parameters and expanding its application across different industries.http://www.sciencedirect.com/science/article/pii/S2772941925001929DatabasesP&IDConsistencyDistilBERTMachine learningDesign software |
| spellingShingle | F.S. Gómez-Vega O. Acuña Andrea C. Camargo Jeison D. Jimenez Sara M. Galeano Isabella E. Franco Laura L. Lozano Jenifer Vásquez Edwin Puertas Enhancing consistency in piping and instrumentation diagrams using DistilBERT and smart PID systems Systems and Soft Computing Databases P&ID Consistency DistilBERT Machine learning Design software |
| title | Enhancing consistency in piping and instrumentation diagrams using DistilBERT and smart PID systems |
| title_full | Enhancing consistency in piping and instrumentation diagrams using DistilBERT and smart PID systems |
| title_fullStr | Enhancing consistency in piping and instrumentation diagrams using DistilBERT and smart PID systems |
| title_full_unstemmed | Enhancing consistency in piping and instrumentation diagrams using DistilBERT and smart PID systems |
| title_short | Enhancing consistency in piping and instrumentation diagrams using DistilBERT and smart PID systems |
| title_sort | enhancing consistency in piping and instrumentation diagrams using distilbert and smart pid systems |
| topic | Databases P&ID Consistency DistilBERT Machine learning Design software |
| url | http://www.sciencedirect.com/science/article/pii/S2772941925001929 |
| work_keys_str_mv | AT fsgomezvega enhancingconsistencyinpipingandinstrumentationdiagramsusingdistilbertandsmartpidsystems AT oacuna enhancingconsistencyinpipingandinstrumentationdiagramsusingdistilbertandsmartpidsystems AT andreaccamargo enhancingconsistencyinpipingandinstrumentationdiagramsusingdistilbertandsmartpidsystems AT jeisondjimenez enhancingconsistencyinpipingandinstrumentationdiagramsusingdistilbertandsmartpidsystems AT saramgaleano enhancingconsistencyinpipingandinstrumentationdiagramsusingdistilbertandsmartpidsystems AT isabellaefranco enhancingconsistencyinpipingandinstrumentationdiagramsusingdistilbertandsmartpidsystems AT laurallozano enhancingconsistencyinpipingandinstrumentationdiagramsusingdistilbertandsmartpidsystems AT jenifervasquez enhancingconsistencyinpipingandinstrumentationdiagramsusingdistilbertandsmartpidsystems AT edwinpuertas enhancingconsistencyinpipingandinstrumentationdiagramsusingdistilbertandsmartpidsystems |