
Published by:
Dalibor Vuchikj
11 Aug 2022
My vision is to support companies and organizations in the development and implementation of mechanical engineering and operational projects. As a Mechanical Engineer by education, combined with a deep passion for new technologies. Specialize in offering cutting-edge digital methods and technologies, including 3D scanning, intelligent 3D modeling, documentation, 3D data processing and optimization, analysis, simulations, VR integration, and more.
Using Digital Twin Technology to Identify and Analyze Potential Industrial Defects
Digital Twin technology can help engineering teams document, monitor, and analyze changes in industrial facilities over time. By combining 3D laser scanning with CAD, BIM, and as-built 3D models, teams can create an accurate digital representation of existing equipment, structures, and systems.
This data can be used to compare conditions at different stages, identify geometric changes, measure deformation, and provide reliable information for further engineering analysis.
Monitoring Changes Over Time
3D laser scanning can be repeated at planned intervals to capture the condition of the same structure, machine, or industrial system over time.
For reliable comparison, scan positions, reference points, and relevant site conditions should be carefully considered. The resulting point clouds can then be registered and compared to identify measurable changes between different scanning periods.
Monitoring selected areas over time can help engineering teams identify deformation trends, displacement, alignment changes, or other geometric differences that may require further investigation.
Comparing Digital Twin Data
A Digital Twin can combine existing-condition data with engineering information from CAD, BIM, PDMS, or other project models.
Point cloud data from different scanning periods can be compared with previous scans, as-built models, or available design information. This allows engineers to measure differences and understand how the physical condition of an asset has changed.
For large industrial facilities, simplified CAD or BIM models can also make complex scan data easier to manage and use within existing engineering workflows.
Supporting Engineering Analysis and Simulation
When deformation or other geometric changes are identified, the measured data can provide useful input for further engineering analysis.
Coordinates, dimensions, displacement values, and existing geometry can be prepared for use with appropriate structural or mechanical analysis software. Engineers can then evaluate loads, stress, structural behavior, or other physical conditions using the required engineering methods.
The Digital Twin and 3D scan provide accurate information about existing geometry, while specialized engineering analysis is used to evaluate the causes and possible effects of the identified changes.
Identifying Possible Causes of Changes
Comparing accurate 3D data over time can also help engineering teams investigate where changes are occurring and how they relate to surrounding equipment, supports, structures, or installations.
Observed deformation or displacement may be connected to different factors such as operating conditions, installation issues, equipment movement, temperature changes, vibration, loads, or interaction with other systems.
3D data alone does not determine the cause, but it provides measurable information that can support a more detailed engineering investigation.
Supporting Inspection and Maintenance
Digital Twins and repeated 3D laser scanning can provide valuable information for inspection and maintenance planning.
Instead of relying only on individual measurements or visual inspections, engineering teams can work with detailed 3D records of an asset at different points in time. This makes it easier to compare conditions, document changes, and focus further inspections on areas where measurable differences have been identified.
The collected data can also become part of the technical history of the equipment or facility and support future maintenance, modification, and engineering work.
From 3D Laser Scanning to Digital Twin
A practical Digital Twin workflow can begin with 3D laser scanning of the existing industrial facility. The captured point cloud is processed and registered to create an accurate representation of current conditions.
Depending on the project requirements, this data can then be converted into CAD, PDMS, BIM, or as-built 3D models and combined with available engineering information.
When the same process is repeated over time, engineering teams can compare different conditions and identify measurable changes in the physical asset.
At IN3D Technology, we use 3D laser scanning, point cloud processing, as-built modeling, and Digital Twin technology to provide accurate 3D data for industrial projects. This information can support deformation monitoring, condition assessment, maintenance planning, design comparisons, and further engineering analysis.