Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection
Research output: Journal contributions › Journal articles › Research › peer-review
Standard
In: Mathematics, Vol. 12, No. 13, 1940, 07.2024.
Research output: Journal contributions › Journal articles › Research › peer-review
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection
AU - Sepulveda-Valdez, Cesar
AU - Sergiyenko, Oleg
AU - Tyrsa, Vera
AU - Mercorelli, Paolo
AU - Rodríguez-Quiñonez, Julio C.
AU - Flores-Fuentes, Wendy
AU - Zhirabok, Alexey
AU - Alaniz-Plata, Ruben
AU - Núñez-López, José A.
AU - Andrade-Collazo, Humberto
AU - Miranda-Vega, Jesús E.
AU - Murrieta-Rico, Fabian N.
N1 - Publisher Copyright: © 2024 by the authors.
PY - 2024/7
Y1 - 2024/7
N2 - This paper introduces an autonomous robot designed for in-pipe structural health monitoring of oil/gas pipelines. This system employs a 3D Optical Laser Scanning Technical Vision System (TVS) to continuously scan the internal surface of the pipeline. This paper elaborates on the mathematical methodology of 3D laser surface scanning based on dynamic triangulation. This paper presents the mathematical framework governing the combined kinematics of the Mobile Robot (MR) and TVS. It discusses the custom design of the MR, adjusting it to use of robustized mathematics, and incorporating a laser scanner produced using a 3D printer. Both experimental and theoretical approaches are utilized to illustrate the formation of point clouds during surface scanning. This paper details the application of the simple and robust mathematical algorithm RANSAC for the preliminary processing of the measured point clouds. Furthermore, it contributes two distinct and simplified criteria for detecting defects in pipelines, specifically tailored for computer processing. In conclusion, this paper assesses the effectiveness of the proposed mathematical and physical method through experimental tests conducted under varying light conditions.
AB - This paper introduces an autonomous robot designed for in-pipe structural health monitoring of oil/gas pipelines. This system employs a 3D Optical Laser Scanning Technical Vision System (TVS) to continuously scan the internal surface of the pipeline. This paper elaborates on the mathematical methodology of 3D laser surface scanning based on dynamic triangulation. This paper presents the mathematical framework governing the combined kinematics of the Mobile Robot (MR) and TVS. It discusses the custom design of the MR, adjusting it to use of robustized mathematics, and incorporating a laser scanner produced using a 3D printer. Both experimental and theoretical approaches are utilized to illustrate the formation of point clouds during surface scanning. This paper details the application of the simple and robust mathematical algorithm RANSAC for the preliminary processing of the measured point clouds. Furthermore, it contributes two distinct and simplified criteria for detecting defects in pipelines, specifically tailored for computer processing. In conclusion, this paper assesses the effectiveness of the proposed mathematical and physical method through experimental tests conducted under varying light conditions.
KW - dynamic triangulation
KW - optical laser scanner
KW - pipeline structural health monitoring
KW - RANSAC
KW - TVS
KW - Mathematics
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85198478706&partnerID=8YFLogxK
U2 - 10.3390/math12131940
DO - 10.3390/math12131940
M3 - Journal articles
AN - SCOPUS:85198478706
VL - 12
JO - Mathematics
JF - Mathematics
SN - 2227-7390
IS - 13
M1 - 1940
ER -