Skip to content
Extra Form
Abstract Drawings such as piping and instrument diagrams (P&ID) or ship safety plans have various equipment and components (lines, signs, and text). Every drawing has rules to express these objects with specific symbols. Generally, these drawings are very complex because they are large in size and consist of relationships between several objects. Therefore, the drawing investigators spend countless time and labor.
For the above reasons, this study uses a deep learning model that has been actively researched recently. An object detection model based on deep learning can quickly find various objects within the drawing. However, the drawing differs from the common images in size and characteristics, generally used as an input in deep learning. Therefore, we proposed a series of procedures for applying the deep learning model to the drawing. This study proposed an object detection algorithm specialized for drawings by combining the non-maximum suppression (NMS) algorithm with the sliding window algorithm. YOLOv7 was selected as an object detection model, which showed the best accuracy by comparing various deep learning models. First, we made a detection window that slides on the drawing. Then, the NMS algorithm was applied to remove duplicate objects from the overall detection results.
Training a deep learning model requires a large amount of training data, but it takes a lot of time to label drawings manually. Therefore, we proposed a data generation model for training data. Objects and background images were extracted from several drawings, and training data were generated by randomly mixing them as material and base. The optimal parameters for training data were selected by comparing the accuracy of the drawings. All models used in this study were trained only with the generated virtual training data.
Knowing how many objects are placed in each division of the ship is important in the inspecting process. Therefore, we developed an algorithm that automatically recognizes the division of the ship and organizes the types and numbers of equipment placed in each division. Furthermore, we developed an algorithm that can obtain the connection relationship between objects and detailed specification of objects by recognizing lines and texts connected to each object.
The method proposed in this study was applied to several actual plans. We confirmed the effectiveness of the proposed method by obtaining high average accuracy. By applying the proposed method, the review procedure, which took several days, can be reduced dramatically to a few minutes per drawing.
Publication Date 2023-06-22
Min-Chul Kong, Myung-Il Roh, In-Chang Yeo, Ki-Su Kim, Jeongyoul Lee, Jongoh Kim, Gapheon Lee, "A Detection Method of Objects with Text in Drawings Based on Deep Learning", Proceedings of ISOPE(International Society of Offshore and Polar Engineers) 2023, Ottawa, Canada, 2023.06.19-23

  1. No Image 27Jan
    by
    in Conference Chairman

    Session 22, 2018년도 한국CDE학회 학술발표회, 횡성, 2018.01.24-26

  2. Seong-Yeob Jeong, Kuk-Jin Kang, Hyun-Soo Kim, Jung-Joong Kim, Myung-Il Roh, "A Study of Ship Safe Voyage Planning in the Northern Sea Route", Proceedings of PACOMS 2018, Jeju, Korea, 2018.10.14-17

  3. Seong-Hoon Kim, Myung-Il Roh, Min-Jae Oh, Namkug Ku, Sehyun Myung, "Big Data Platform for PLM (Product Lifecycle Management) Systems in Shipbuilding and Offshore Industry", Proceedings of ICCAS 2017, Singapore, Singapore, 2017.09.26-28

  4. Seong-Ho Seo, Myung-Il Roh, Nam-Kug Ku, Kyu-Yeul Lee, "Dynamic Response Simulation of an Offshore Wind Turbine Suspended by a Floating Crane", Proceedings of ISGMA(International Symposium on Green Manufacturing and Applications) 2012, Jeju, Korea, pp. 1-7, 2012.08.27-29

  5. Se-Yong Jeong, Seong-Ho Seo, Myung-Il Roh, "A Method for Determining a Ship Economic Route for Fuel Saving", Proceedings of ISGMA(International Symposium on Green Manufacturing and Applications) 2012, Jeju, Korea, pp. 1-5, 2012.08.27-29

  6. Sang-Rai Cho, Jong-Min Kim, Young-Hun Kim, Joo-Sung Lee, Myung-Il Roh, "Towards More Rational Design of Ship Structures against Collisions", Proceedings of ICCGS(International Conference on Collision and Grounding of Ships) 2013, Trondheim, Norway, pp. 187-195, 2013.06.17-19

  7. Sang-Hyun Lee, Myung-Il Roh, Seung-Min Lee, Ki-Su Kim, "Optimization Method for the Arrangement of LNG FPSO Considering Stability, Safety, Operability, and Maintainability", Proceedings of IMDC 2018, Helsinki, Finland, 2018.06.10-14

  8. Nam-kug Ku, Sol Ha, Myung-Il Roh, Kyu-Yeul Lee, "Dynamic Response Analysis of Multibody System in Discrete Event Simulation", Proceedings of ICORES(International Conference on Operations Research and Enterprise Systems) 2012, Algarve, Portugal, pp. 447-453, 2012.02.04-06

  9. Nam-Kug Ku, Sol Ha, Myung-Il Roh, Kyu-Yeul Lee, "Development of a Kernel for Dynamic Analysis of Various Types of Multi-Crane in Shipyard", Proceedings of ISOPE(International Society of Offshore and Polar Engineers) 2013, Alaska, USA, pp. 693-701, 2013.06.30-07.05

  10. Nam-Kug Ku, Sol Ha, Myung-Il Roh, "Crane Modeling and Simulation in Offshore Structure Building Industry", Proceedings of ICCMS(International Conference on Computer Modeling and Simulation) 2014, Barcelona, Spain, pp. 1-7, 2014.02.20-21

Board Pagination Prev 1 ... 35 36 37 38 39 40 41 42 43 44 ... 51 Next
/ 51

Powered by Xpress Engine / Designed by Sketchbook

sketchbook5, 스케치북5

sketchbook5, 스케치북5

나눔글꼴 설치 안내


이 PC에는 나눔글꼴이 설치되어 있지 않습니다.

이 사이트를 나눔글꼴로 보기 위해서는
나눔글꼴을 설치해야 합니다.

설치 취소