Computer System Integrated with Digital Models for Reconstruction of Underwater Structures with High Definition

Authors

Keywords:

3D Reconstruction, Fusion of Sensors, Underwater Robotics Interface

Abstract

The development of research aimed at underwater inspection of subsea equipment has been gaining importance due to the exploration of oil and gas in deep waters. Often, the lack of accurate geometric information on subsea equipment used by the oil and gas industry leads to a series of difficulties in carrying out maintenance operations on this equipment. Currently, the use of sound-based technology is used for this purpose and its limits are known. In this sense, it is necessary to explore new methods that allow generating high-resolution three-dimensional models to represent, with adequate precision, underwater structures. The general objective of this research work presents a novel computational system that provides an accurate three-dimensional representation of structures of underwater equipment. The visualized application is in the oil exploration and production sector offshore, to fill important gap technology available for robotic underwater operations. This representation is a valuable resource to facilitate the planning and execution of the monitoring and maintenance activities in these assets. The feasibility of implementing this system is confirmed by the maps obtained during the testing phase.

Downloads

Download data is not yet available.

Author Biographies

Leonardo Nardy, SENAI CIMATEC

Graduado em Engenharia Elétrica pelo Centro Universitário do Leste de Minas Gerais, especialista em Administração pela Universidade de Salvador, mestre em Gestão e Tecnologias Industriais pelo SENAI CIMATEC, doutorando em Gestão e Tecnologias Industriais pelo SENAI CIMATEC. Desde 2012 trabalha no SENAI CIMATEC, onde atualmente é gerente de desenvolvimento de negócios atuando em robótica, sistemas autônomos e automação.

Oberdan Pinheiro, Centro Universitário SENAI CIMATEC.

Doutor e Mestre em Modelagem Computacional e Tecnologia Industrial pelo SENAI CIMATEC (2011 - 2016), especialista em Sistemas Distribuídos pela Universidade Federal da Bahia, UFBA (2006) e graduado em Processamento de Dados pela Faculdade Ruy Barbosa, FRB (2004). Atualmente é Pesquisador Líder do Instituto Senai de Inovação em Automação da Produção, com ênfase em Robôs Especiais e Autônomos e Pesquisador do PPG Stricto Sensu em Gestão e Tecnologia Industrial (GETEC).

Herman Lepikson, Centro Universitário SENAI CIMATEC.

Doutor em Engenharia Mecânica pela Universidade Federal de Santa Catarina. Foi professor associado da Universidade Federal da Bahia até 2013, onde coordenou o Centro de Capacitação Tecnológica em Automação Industrial. É professor dos Programas de pós-graduação do Centro Universitário SENAI CIMATEC. Atualmente é Pesquisador Líder do Instituto Senai de Inovação em Logística e Manufatura Avançada.

References

L. Yu, E. Yang, P. Ren, C. Luo, G. Dobie, D. Gu and X. Yan, ”Inspection Robots in Oil and Gas Industry: a Review of Current Solutions and Future Trends”, in 2019 25th International Conference on Automation and Computing (ICAC), pp. 1-6, 2019, doi 10.23919/IConAC.2019.8895089.

M. Castill´on, A. Palomer, J. Forest and P. Ridao, ”State of the Art of Underwater Active Optical 3D Scanners”, in Sensors, vol. 19, no. 23, pp. 5161, Nov. 2019, doi: 10.3390/s19235161.

M. Shortis, ”Calibration Techniques for Accurate Measurements by Underwater Camera Systems”, in Sensors, vol. 15, no. 12, pp. 30810-30826, Nov. 2015, doi: 10.3390/s151229831.

A. Palomer, P. Ridao, J. Forest and D. Ribas, ”Underwater Laser Scanner: Ray-Based Model and Calibration,” in IEEE/ASME Transactions on Mechatronics, vol. 24, no. 5, pp. 1986-1997, Oct. 2019, doi:10.1109/TMECH.2019.2929652.

M. Wang, X. Wang, L. Sun, Y. Yang, and Y. Zhou, ”Underwater 3D deblurring-gated range-intensity correlation imaging,” in Opt. Lett., vol.45, no. 6, pp. 1455-1458, Mar. 2020, doi: 10.1364/OL.385983.

Taewon Kim, Youngsoo Choi and Yun-ho Ko, ”Development of underwater 3D shape measurement system with improved radiation tolerance” in Nuclear Engineering and Technology, 2020, ISSN 1738-5733, doi:10.1016/j.net.2020.09.026.

K. Konolige, ”Projected texture stereo,” in 2010 IEEE International Conference on Robotics and Automation, Anchorage, AK, 2010, pp. 148-155, doi: 10.1109/ROBOT.2010.5509796.

P. Risholm, J. Thorstensen, J. Thielemann, K. Kaspersen, J. Tschudi, C. Yates, C. Softley, I. Abrosimov, J. Alexander, and K. Haugholt, ”Realtime super-resolved 3D in turbid water using a fast range-gated CMOS camera”, in Appl. Opt., vol. 57, no. 14, pp. 3927-3937, May. 2018, doi: 10.1364/AO.57.003927.

M. Patrizio, Q. I˜naki, H. Karl, C. Yves, V. Andre, Y. Chris, P. Giuliano, R. Giancarlo, R. Petter and T. Jens, ”Range-Gated Imaging System for Underwater Monitoring in Ocean Environment”, in Sustainability, vol. 11, no. 1, pp. 162, 2019, doi: 10.3390/su11010162.

S. Y. Chua, N. Guo, C. S. Tan and X. Wang, ”Improved Range Estimation Model for Three-Dimensional (3D) Range Gated Reconstruction”, in Sensors, vol. 17, no. 9, pp. 2031, 2017, doi:10.3390/s17092031.

M. Massot-Campos and G. Oliver-Codina, ”Optical Sensors and Methods for Underwater 3D Reconstruction”, in Sensors, vol. 15, no. 12, pp. 31525-31557, 2015, doi:10.3390/s151229864.

M. Massot-Campos, G. Oliver-Codina, H. Kemal, Y. Petillot and F. Bonin-Font. ”Structured light and stereo vision for underwater 3d reconstruction”, in OCEANS 2015 - Genova, pp. 1-6, 2015.

G. Matos, P. Buschinelli and T. Pinto, ”Underwater Laser Triangulation Sensor Model With Flat Refractive Interfaces”, in IEEE Journal of Oceanic Engineering, vol. 45, no. 3, pp. 937-945, 2020, doi:10.1109/JOE.2019.2891863.

Z. Zhang, ”A flexible new technique for camera calibration”, in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1330-1334, 2000, doi:10.11092f34.888718.

F. Lopes, H. Silva, J. M. Almeida, A. Martins and E. Silva, ”Structured light system for underwater inspection operations”, in OCEANS 2015 - Genova, pp. 1-6, 2015, doi:10.1109/OCEANS-Genova.2015.7271564.

S. T. Digumarti, G. Chaurasia, A. Taneja, R. Siegwart, A. Thomas and P. Beardsley, ”Underwater 3D capture using a low-cost commercial depth camera”, in 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, 2016, pp. 1-9, doi: 10.1109/WACV.2016.7477644.

A. Palomer, P. Ridao, D. Ribas and J. Forest, ”Underwater 3D Laser Scanners: The Deformation of the Plane”, in Springer International Publishing, pp. 73-88, 2017, doi:10.1007/978-3-319-55372-6 4.

M. Massot-Campos and G. Oliver-Codina, ”Optical sensors and methods for underwater 3D reconstruction”, in Sensors, Switzerland, vol. 15, no. 12, pp. 31525-31557, 2015, doi:10.3390/s151229864.

M. Berger, A. Tagliasacchi, L. Seversky, P. Alliez, J. Levine, J. Levine, A. Sharf, C. Silva, ”A Survey of Surface Reconstruction from Point Clouds”, in Computer Graphics Forum, vol. 36, no. 1, Mar. 2015, doi:10.1111/cgf.12802.

Tomasz Łuczy´nski, Max Pfingsthorn, Andreas Birk, ”The Pinax-model for accurate and efficient refraction correction of underwater cameras in flat-pane housings”, in Ocean Engineering, vol. 133, 2017, doi.org/10.1016/j.oceaneng.2017.01.029.

A. Muntoni and P. Cignoni, ”PyMeshLab: The open source mesh processing python library”, in Zenodo, Jan. 2021, doi: 10.5281/zenodo. 4438750.

D. Mathieu, M. Mark, S. Peter and B. H. Alan, ”Implicit Fairing of Irregular Meshes Using Diffusion and Curvature Flow”, in ACM Press/Addison-Wesley Publishing Co., 1999, pp. 317–324, doi: 10.1145/311535.311576.

Published

2021-08-09

How to Cite

Nardy, L., Pinheiro, O., & Lepikson, H. . (2021). Computer System Integrated with Digital Models for Reconstruction of Underwater Structures with High Definition. IEEE Latin America Transactions, 20(2), 283–290. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/5634