Features Recognition from Piping and Instrumentation Diagrams in Image Format Using a Deep Learning Network
A piping and instrumentation diagram (P&ID) is a key drawing widely used in the energy industry. In a digital P&ID, all included objects are classified and made amenable to computerized data management. However, despite being widespread, a large number of P&IDs in the image f...
Main Authors: | Eun-seop Yu, Jae-Min Cha, Taekyong Lee, Jinil Kim, Duhwan Mun |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-11-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/12/23/4425 |
Similar Items
-
Deep Learning-Based Method to Recognize Line Objects and Flow Arrows from Image-Format Piping and Instrumentation Diagrams for Digitization
by: Yoochan Moon, et al.
Published: (2021-10-01) -
Image format pipeline and instrument diagram recognition method based on deep learning
by: Guanqun Su, et al.
Published: (2024-03-01) -
Deep Neural Network for Automatic Image Recognition of Engineering Diagrams
by: Dong-Yeol Yun, et al.
Published: (2020-06-01) -
A Digitization and Conversion Tool for Imaged Drawings to Intelligent Piping and Instrumentation Diagrams (P&ID)
by: Sung-O Kang, et al.
Published: (2019-07-01) -
DrawnNet: Offline Hand-Drawn Diagram Recognition Based on Keypoint Prediction of Aggregating Geometric Characteristics
by: Jiaqi Fang, et al.
Published: (2022-03-01)