Digital measured building survey

A digital measured building survey refers to the digital capture of buildings, rooms or building components using modern sensor technology. Instead of measuring manually with a folding rule or laser distance meter, geometries are recorded automatically using technologies such as laser scanning, LiDAR or photogrammetry and stored as digital datasets.

The result is precise and traceable building data that can be used directly for floor plans, as-built plans, BIM models or energy analyses.

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Why is a digital measured building survey important?

Existing buildings are the basis for almost every planning process. At the same time, existing drawings are often outdated, incomplete or not available in digital form. A digital measured building survey creates a reliable data basis for planning, refurbishment and operation, providing a digital as-built record of the building.

The key benefits:

• Greater speed: faster data capture than manual measurement methods
• Higher data quality: greater completeness through the digital capture of entire rooms and buildings, for example in Scan-to-BIM processes
• Fewer transfer errors, as measurement data is available digitally from the start
• Direct further processing in CAD, BIM and CAFM systems
• Complete documentation: traceable records for planning, tendering and building operation

Especially in refurbishment projects, energy consulting or as-built modelling, a digital measured building survey provides the basis for informed decisions.

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How does a digital measured building survey work?

The process typically consists of three core steps:

1. Capturing the building: Rooms or buildings are recorded on site using suitable measurement technology. Depending on the use case, different methods may be used, such as LiDAR scanners, drone photogrammetry or measured survey apps.
2. Processing the data: The captured measurement data is automatically merged and georeferenced. This creates digital representations of the building, for example in the form of point clouds. Various outputs can be generated from the captured data, including floor plans, sections and elevations, area calculations and room books.
3. Reusing the data: The results can be integrated directly into existing planning and operational processes, for example in CAD systems, BIM workflows, CAFM systems or energy consulting software.

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What data is created?

• Point clouds
• Floor plans
• Sections
• Elevations
• BIM models
• Digital twins
• 3D models
• Area calculations

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Which technologies are used for digital measured building surveys?

• LiDAR (Light Detection and Ranging) measures distances using laser pulses and generates highly accurate 3D data.
• Terrestrial laser scanning (TLS) scans a building from fixed positions. This method is particularly suitable for complex geometries and high accuracy requirements.
• SLAM (Simultaneous Localization and Mapping) enables mobile building capture while moving through the property. This allows large buildings to be recorded much faster.
• Photogrammetry evaluates photographs to calculate 3D geometries. This method is particularly suitable for facades and outdoor areas.

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Typical use cases

Digital measured building surveys are now used in many areas of construction, real estate and the trades:

• Refurbishment and modernisation: reliable as-built data is a prerequisite for energy-efficient refurbishments and funding applications.
• BIM projects: digital building data forms the basis for Scan-to-BIM processes and digital twins.
• Energy consulting: floor plans, areas and building data can be used directly for energy certificates or refurbishment roadmaps.
• Facility management: up-to-date building data supports space management, documentation and maintenance.
• Real estate portfolios: owners, property managers and housing companies receive a digital data basis for their building stock.

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Common mistakes in digital measured building surveys

• Using outdated as-built data: old planning documents often no longer match the actual condition of the building.
• Not defining the required level of detail: not every project needs the same depth of information. Requirements should be defined before the project begins.
• Capturing only geometry: many applications also require additional information such as room usage, building components or technical systems.
• Preparing data in a format that cannot be reused: the greatest value is created when data can be integrated directly into existing processes and software solutions.

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