Clement Colin

3D visualisation industry

BL-Viz4D: A Digital Twin viewer for Maintenance

BL-VIZ4D is a research project led by Berger-Levrault, dedicated to the visualization, synchronization, and interaction with digital twins applied to maintenance. Stemming from thesis work conducted in partnership with the LIRIS laboratory (Laboratory of Image Informatics and Information Systems), BL-VIZ4D explores the scientific and technological foundations of a multi-scale 3D viewer capable of aggregating heterogeneous […]

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3D vizualisation

Exploiting knowledge of BIM data : A MEP network topology detection method using geometry and spatial knowledge graph technologies

The integration of BIM data into CMMS for asset management and maintenance is becoming increasingly widespread and accessible. Among the standardized data models used in the built asset industry, IFC (Information For Construction) remains the most widely adopted open format within the BIM domain. It facilitates the creation of digital twins of buildings, combining semantic

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Clément Colin Ph.D. thesis defense : “Multi-scale geospatial data management and visualisation applied for CMMS”

Tuesday 18th of June at 10h a.m. Paris time, Clément Colin, Ph.D. Candidate has defended his thesis named “Multi-scale geospatial data management and visualisation applied for CMMS”. His thesis defense took place at the conference room of the Faculty “IUT Lumière Lyon 2” in Villeurbanne, France. Take a look at the summary below : Summary

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3D Big data in modern city. Abstract social information sorting visualization. Human connections or urban financial structure analysis. Complex geospatial data. Visual information complexity.

Equipment 3D visualization in a CMMS application-1st part

Computer-aided maintenance systems aim at assisting administration and maintenance agents in their missions of assets maintenance (building, network, air conditioning, faucets, etc). Assets may have different representations in different geospatial data sources (2D or 3D) that can help to have a better understanding of them by providing new information. Though, using those data often leads

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