Industries carry out processes that can help them compare completed projects to their original design and specifications. One of the processes they carry out is as-built data analysis.

As-built data analysis is the process of comparing a completed project to the original design and specifications generated by various professionals in the field. It ensures that the project was completed according to the plans. It also helps identify any discrepancies or deviations from the original design. This process is typically conducted before the final handover of the project.

Primary Steps of As-built Data Analysis

The as-built data analysis is often carried out in several steps. These steps are as follows.

  • Collect as-built data: It involves gathering all the needed data related to the project. Some of them include the drawings, specifications, plans, and any documentation related to changes made during the construction, installation, or repair process.
  • Conduct site inspections: Site inspections involve examining the project site physically and comparing it to the original design. It helps identify any discrepancies from the original design and resolves them as soon as possible.
  • Conduct measurements: Measurements must then be taken to compare the actual dimensions of the project to the original design. It can help in identifying any differences in the size and shape of the completed project to the original design.
  • Analyse the data: The collected data is analysed to identify any deviations from the original design. It pinpoints any changes made during the construction or installation process.
  • Report the findings: The findings of the as-built data analysis, ultimately, are reported to stakeholders, including the project owner, contractor, and any other relevant parties. It ensures that all parties have a thorough understanding of the completed project and any differences from the original design.

As-built Data Analysis and 3D Modelling

The whole process of as-built data analysis is now integrated with three-dimensional (3D) modelling. 3D modelling is the process of creating a 3D representation of an object through computer software. The object is then created through a series of points, lines, and shapes that are combined to generate a 3D mesh. Ultimately, the resulting 3D model can be viewed and manipulated in a virtual environment.

Tons of benefits are associated with the integration of 3D modelling in as-built data analysis.

First, 3D modelling can provide a highly accurate representation of a completed project. This benefit helps create precise measurements and comparisons to the original design. It can also be utilised to identify any deviations from the original design. Another benefit of 3D modelling is it can increase the efficiency of the as-built data analysis. Since it utilises advanced software, the time and effort needed for as-built data analysis are cut significantly.

3D modelling can also help in providing a visual representation of the completed project, allowing stakeholders to understand the project conveniently. It then simplifies the communication between project teams as they can all understand what is going on in the project. Ultimately, the integration of 3D modelling in as-built data analysis can improve the documentation of the process. It allows future changes or renovations to be conducted with a thorough understanding of the project’s existing conditions.

As-built data analysis is an essential step in ensuring that the completed project meets the original design and specifications. Through the integration of 3D modelling, the process can easily improve quality control, cost savings, communication, and documentation.