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Apichon Witayangkurn. ASDR : automatic system to diagnose and recognize electrical drawings. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
ASDR : automatic system to diagnose and recognize electrical drawings
Name: Chatbordin Klinsrisuk
Organization :
Thammasat University. Sirindhorn International Institute of Technology
Email :
m6422040904@g.siit.tu.ac.th
Name: Apichon Witayangkurn
Organization :
Thammasat University. Sirindhorn International Institute of Technology
Email :
apichon@siit.tu.ac.th
keyword:
Pattern recognition systems
LCSH:
Engineering drawings
-- Data processing
LCSH:
Computer vision
LCSH:
Artificial intelligence
Abstract:
This paper presents an automated system to
diagnose and recognize Metering and Relaying diagrams in
electrical drawings. These diagrams play a crucial role in
defining protection schemes for new substations, so ensuring
their accuracy is essential to avoid delays and additional costs in
the construction process. The study focuses on three primary
stages: data preparation, model training, and application
development. Advanced machine learning models such as
YOLOv5, RTM-Det, and Faster-RCNN are explored. To
enhance flexibility, the study utilizes the MMYolo toolbox and
the MMDetection toolbox and showcases adequate dataset
preparation with Albumentations, emphasizing the importance
of transfer learning for efficient resource utilization. The
resulting Automatic System to Diagnose and Recognize
Electrical Drawing (ASDR) empowers experts to scrutinize
drawings, identifying missing components and potential missing
areas. The ASDR web application, developed using Next.js,
Flask, and Postgresql, provides a user-friendly and scalable
solution.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-05-22
Issued:
2025-05-22
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Thailand Section (IEEE Computer Society Thailand Chapter) and Prince of Songkla University. College of Computing. The 21st International Joint Conference on Computer Science and Software Engineering (JCSSE 2024)) (pp.118-125). Phuket : Prince of Songkla University
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.027258 วินาที
Chatbordin Klinsrisuk
| Title | Contributor | Type |
|---|---|---|
| ASDR : automatic system to diagnose and recognize electrical drawings
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chatbordin Klinsrisuk;Apichon Witayangkurn | บทความ/Article |
Apichon Witayangkurn
| Title | Contributor | Type |
|---|---|---|
| A framework for automatic root cause analysis of network failure on MPLS network
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Tikumporn Wankvar;Apichon Witayangkurn | บทความ/Article | |
| A scalable and secure outsourced IoT electronic health records with efficient user revocation using fog-assisted cloud model
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Gupta, Rohan Prasad;Chalee Vorakulpipat;Somchart Fugkeaw;Apichon Witayangkurn | บทความ/Article | |
| ASDR : automatic system to diagnose and recognize electrical drawings
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chatbordin Klinsrisuk;Apichon Witayangkurn | บทความ/Article |