z-logo
open-access-imgOpen Access
A novel visual pipework inspection system
Author(s) -
Rahul Summan,
William E. Jackson,
Gordon Dobie,
Charles MacLeod,
Carmelo Mineo,
Graeme West,
Douglas Offin,
Gary Bolton,
Stephen Marshall,
Alexandre Lille
Publication year - 2018
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5031647
Subject(s) - visual inspection , pipeline transport , visualization , ground truth , computer vision , computer science , sample (material) , photogrammetry , artificial intelligence , laser , geology , remote sensing , engineering , optics , mechanical engineering , physics , thermodynamics
The interior visual inspection of pipelines in the nuclear industry is a safety critical activity conducted during outages to ensure the continued safe and reliable operation of plant. Typically, the video output by a manually deployed probe is viewed by an operator looking to identify and localise surface defects such as corrosion, erosion and pitting. However, it is very challenging to estimate the nature and extent of defects by viewing a large structure through a relatively small field of view. This work describes a new visual inspection system employing photogrammetry using a fisheye camera and a structured light system to map the internal geometry of pipelines by generating a photorealistic, geometrically accurate surface model. The error of the system output was evaluated through comparison to a ground truth laser scan (ATOS GOM Triple Scan) of a nuclear grade split pipe sample (stainless steel 304L, 80mm internal diameter) containing defects representative of the application – the error was found to be submillimetre across the sample.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom