Reducing human effort in engineering drawing validation.
Rica, Elena; Moreno-García, Carlos Francisco; Álvarez, Susana; Serratosa, Francesc
Doctor Carlos Moreno-Garcia firstname.lastname@example.org
Oil & Gas facilities are extremely huge and have complex industrial structures that are documented using thousands of printed sheets. During the last years, it has been a tendency to migrate these paper sheets towards a digital environment, with the final end of regenerating the original computer-aided design (CAD) projects which are useful to visualise and analyse these facilities through diverse computer applications. Usually, this was done manually by re-sketching each page using CAD applications. Nevertheless, some applications have appeared which generate the CAD document automatically given the paper sheets. In this last case, the final document is always verified by an engineer due to the need of being a zero-error process. Since the need of an engineer is absolutely accepted, we present a new method to reduce the required engineer working time. This is done by highlighting the digitised components in the CAD document that the automatic method could have incorrectly identified. Thus, the engineer is required only to look at these components. The experimental section shows our method achieves a reduction of approximately 40% of the human effort keeping a zero-error process.
|Journal Article Type||Article|
|Publication Date||May 31, 2020|
|Journal||Computers in Industry|
|Peer Reviewed||Peer Reviewed|
|Institution Citation||RICA, E., MORENO-GARCÍA, C.F., ÁLVAREZ, S. and SERRATOS, F. 2020. Reducing human effort in engineering drawing validation. Computers in industry [online], 117, article ID 103198. Available from: https://doi.org/10.1016/j.compind.2020.103198|
|Keywords||Piping and Instrumentation Diagram (P&ID); Automatic validation; Digitisation; Contextualisation; Human validation|
This file is under embargo until Feb 7, 2022 due to copyright reasons.
Contact email@example.com to request a copy for personal use.
You might also like
Symbols in engineering drawings (SiED): an imbalanced dataset benchmarked by convolutional neural networks.
A comparison of feature extractors for panorama stitching in an autonomous car architecture.
Digitisation of assets from the oil and gas industry: challenges and opportunities.
Generalised median of graph correspondences.
Correspondence edit distance to obtain a set of weighted means of graph correspondences.