Paper
27 January 2021 Improvement of maintenance visibility analysis method based on the cone of human visual field
Mingyu Li, Minhao Mu, Zhou Fang, Chunhua He, Pengxing Yi
Author Affiliations +
Proceedings Volume 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020); 1172029 (2021) https://doi.org/10.1117/12.2589418
Event: Twelfth International Conference on Graphics and Image Processing, 2020, Xi'an, China
Abstract
The article presented an improved visibility evaluation model to make up two shortcomings of the visual cone maintenance visibility analysis method based on the real visual field, which could not quantitatively evaluate visibility and visual field occlusion. Firstly, combining sight distance and volume, we determined the position of objects in-plane field of vision. Then the line of sight model from human eyes to each part of the object was established to determine the occlusion of each part of the object. Finally, the evaluation results were quantified. The redevelop of DELMIA software realized the improved maintenance visibility analysis function module. In the maintenance visibility verification of the welding workstation, the improved method can effectively evaluate the visibility and quantify the evaluation results and quantitatively evaluate the occlusion of objects. The improved method greatly improved the comprehensiveness and rationality of visibility analysis in complex equipment maintenance.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mingyu Li, Minhao Mu, Zhou Fang, Chunhua He, and Pengxing Yi "Improvement of maintenance visibility analysis method based on the cone of human visual field", Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 1172029 (27 January 2021); https://doi.org/10.1117/12.2589418
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