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Q&A

3D scanning in the maritime sector

3D scanning is increasingly being applied within the maritime sector, but in practice it also raises a number of questions. When is it the right choice? What tangible value does it deliver within a project? And how is the data actually used in engineering and execution?

 

In this Q&A, we address the most common questions based on practical experience from maritime projects. From applications and technology to costs and implementation, helping you better assess where 3D scanning adds value within your specific situation.

Application and value

Why 3D scanning?

3D scanning is a measurement method in which lasers or sensors capture millions of data points to create an accurate digital representation (point cloud) of an existing environment. In the maritime sector, this is used to accurately capture complex spaces such as engine rooms, piping systems, and structural components, providing a reliable foundation for engineering and modifications.

3D scanning is applied in refits, retrofit projects, clash detection, dimensional control for prefabricated components, and verification of existing installations. It is also used for reverse engineering of components and as input for digital models and digital twins.

Unlike manual measurements, 3D scanning delivers a complete and consistent dataset of the existing situation. This eliminates assumptions, reduces measurement errors, and enables design decisions to be validated directly against real-world geometry.

3D scanning is particularly valuable in complex, poorly documented, or hard-to-access environments. Typical use cases include retrofit projects, existing vessels, or installations where discrepancies between design and reality are significant.

The greatest value lies in existing assets, where the actual situation often deviates from available drawings. In newbuild projects, 3D scanning is mainly used for verification, quality control, and as-built documentation.

By working with a single, shared, and up-to-date dataset, design decisions are better substantiated and clashes become visible at an early stage. This reduces rework, prevents surprises during installation, and shortens project lead times.

Technology and process

How does 3D scanning work?

A point cloud is suitable for visual inspection, measurements, and clash detection. For engineering, analysis, and manufacturing, further processing into mesh or parametric CAD models is often required, depending on the application and required level of accuracy.

Handheld SLAM scanners offer speed and flexibility in complex environments but with lower accuracy. Static laser scanners provide higher precision and detail but require more setup positions and time on-site. The choice depends on the required accuracy and project objectives.

A typical workflow includes on-site data acquisition, registration of scans into a unified coordinate system, cleaning of noise and measurement errors, and delivery in the required format (e.g., point cloud, mesh, or CAD). Post-processing often represents the largest share of the total effort.

Depending on size and complexity, lead times typically range from several days to approximately one week, including registration and delivery. Office-based processing time is generally significantly longer than the actual scanning.

Costs and implementation

What does this mean for your organization?

Costs are not primarily driven by the scanning itself, but by data processing and interpretation. Registration, data cleaning, and modeling account for a significant portion of total project costs.

Investment in 3D scanning results in reduced rework, shorter lead times, and improved design quality. Especially in complex projects, these benefits significantly outweigh the initial costs.

Scan data is typically managed according to project-specific agreements, often stored on client-side infrastructure. Access and distribution are aligned with the client’s requirements, with options for secure online viewers if needed.

3D data provides a reliable foundation for digital asset representations. It supports applications such as digital twins, lifecycle management, and remote monitoring, provided the data is structured and stored for reuse.

A logical first step is to execute a pilot scan within a specific project. This makes the added value immediately tangible and helps determine how to integrate 3D scanning into existing workflows.

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