A web-based system for visualising engineering tasks on multi-LOD large-scale CAD models

Ricardo Amaral Nunes, Fernando Baltasar dos Santos Pedrosa and Daniel Castro Silva

International Journal of Planning and Scheduling, 2025, vol. 3, issue 3, 194-211

Abstract: CERN conducts daily experiments on multiple machines, requiring regular maintenance and check-ups. Planning future experiments and installations becomes challenging due to the time-consuming nature of these tasks and their potential impact on machine availability. We propose a 3D visualisation system that displays machine maintenance and installation tasks for specific dates to address co-activity issues. The system consists of two main parts: a preprocessing pipeline that converts and simplifies the machine's CAD model to glTF and a 3D visualisation tool that displays the model and provides the needed task information. By dividing the model into levels and providing granularity options, the system efficiently presents information to users. We achieved a reduction of around 80% in the number of vertices. Moreover, evaluating the tool through a controlled experiment showed positive results, such as a frequency of 30 FPS and an average frame rendering time of 40 ms. Both the loading time and the interaction latency of the models were low and not noticeable to the participants.

Keywords: 3D visualisation system; 3D model simplification; CAD conversion; task scheduling; multi-LOD 3D model visualisation. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=149887 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpsii:v:3:y:2025:i:3:p:194-211

Access Statistics for this article

More articles in International Journal of Planning and Scheduling from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().