Short answer

Prioritize the exploration and integration of automated as-built modelling techniques to improve the accuracy and efficiency of design processes involving existing built environments.

Field: Modelling
Source: Advanced Engineering Informatics (2015)
Method: Literature Review and Comparative Analysis
Evidence: Strong effect

Automating the creation of Building Information Models (BIMs) from existing structures significantly enhances the efficiency of data management and reuse in the construction industry. This modelling research insight is drawn from a 2015 study published in Advanced Engineering Informatics. Using Literature review and comparative analysis, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Prioritize the exploration and integration of automated as-built modelling techniques to improve the accuracy and efficiency of design processes involving existing built environments.

Study

ModellingHigh ImpactStrong effect

Automated As-Built BIM Generation Accelerates Construction Data Reuse

Automating the creation of Building Information Models (BIMs) from existing structures significantly enhances the efficiency of data management and reuse in the construction industry.

Advanced Engineering Informatics · 2015

Key Findings

01Automatic as-built BIM generation is a key area of interest with significant economic potential.
02Existing research spans Computer Vision, Geometry Processing, and Civil Engineering, each contributing different aspects to the process.
03Geometric modelling is a critical component for the successful creation of as-built BIMs.

Application

Design takeaway

Prioritize the exploration and integration of automated as-built modelling techniques to improve the accuracy and efficiency of design processes involving existing built environments.

How to apply

When undertaking a design project for an existing building or infrastructure, investigate and utilize tools or workflows that can automatically generate an as-built BIM from scans or other site data.

Project actions

01When researching existing designs, look for studies that discuss how to automatically create digital models of what's already built.
02Consider how the accuracy of these models impacts your design choices.

Method & Evidence

AimWhat are the current state-of-the-art methods for automatically generating as-built Building Information Models (BIMs) from existing structures, and how do they compare in terms of their geometric modelling capabilities?

MethodLiterature Review and Comparative Analysis

ProcedureThe research involved a comprehensive review of academic and industry publications from Computer Vision, Geometry Processing, and Civil Engineering fields. Relevant works were analyzed and compared based on their approaches to geometric modelling for as-built BIM generation.

ContextConstruction and Infrastructure Management

Variables

IV["Methodology for as-built modelling (e.g., Computer Vision, Geometry Processing, Civil Engineering approaches)"]

DV["Potential for automatic as-built modelling","Effectiveness of geometric modelling"]

CV["Focus on geometric modelling aspects","Interest from industrial, academic, and governmental parties"]

Strengths & Limitations

Strengths

+Provides a broad overview of the state of research.
+Compares works from multiple relevant disciplines.

Limitations

The effectiveness of automated as-built modelling can depend heavily on the quality and completeness of the input data (e.g., scan resolution, site conditions).

Reliability & validity

The reliability of the findings is based on a comprehensive literature review, while the validity is supported by the comparison of works across multiple relevant academic fields. However, the study itself does not involve primary data collection, so direct measures of reliability and validity for experimental procedures are not applicable.

Think critically

To what extent does the 'state of research' in automatic as-built modelling address the integration of non-geometric data (e.g., material properties, maintenance history) alongside geometric information?

Design Principles

"Embrace digital twin methodologies for existing assets through automated as-built modelling to enhance data-driven design and lifecycle management."

The ability to automatically generate as-built BIMs streamlines the process of capturing and utilizing information about existing assets. This is crucial for renovations, facility management, and infrastructure upgrades, reducing manual effort and potential errors.

What This Means for Your Design

Making computer models of existing buildings automatically saves a lot of time and effort for builders and designers.

How to use in your project

1.Reference this research when discussing the importance of accurate as-built data for your design project, especially if it involves existing conditions.

Add to My Project

Quick Cite

Paragraph starter

The automatic generation of as-built Building Information Models (BIMs) is a critical advancement for the construction industry, offering significant potential for economic impact by streamlining the capture and reuse of data for existing assets. Research in this area, drawing from fields like Computer Vision and Civil Engineering, highlights the importance of robust geometric modelling techniques to create accurate digital representations, which directly informs design decisions for renovations, facility management, and infrastructure projects.

Source

Advanced Engineering Informatics

State of research in automatic as-built modelling

journal · 2015

View source

Questions About This Research

What does the research say about automated as-built bim generation accelerates construction data reuse?: Prioritize the exploration and integration of automated as-built modelling techniques to improve the accuracy and efficiency of design processes involving existing built environments. Evidence: Advanced Engineering Informatics (2015).
Why does "Automated As-Built BIM Generation Accelerates Construction Data Reuse" matter for design?: The ability to automatically generate as-built BIMs streamlines the process of capturing and utilizing information about existing assets. This is crucial for renovations, facility management, and infrastructure upgrades, reducing manual effort and potential errors.
How can designers apply this research?: Prioritize the exploration and integration of automated as-built modelling techniques to improve the accuracy and efficiency of design processes involving existing built environments.
What were the main findings?: Automatic as-built BIM generation is a key area of interest with significant economic potential.. Existing research spans Computer Vision, Geometry Processing, and Civil Engineering, each contributing different aspects to the process.. Geometric modelling is a critical component for the successful creation of as-built BIMs.
What research method was used?: Literature Review and Comparative Analysis.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2015 journal from Advanced Engineering Informatics.
What should I do differently in my next project?: When undertaking a design project for an existing building or infrastructure, investigate and utilize tools or workflows that can automatically generate an as-built BIM from scans or other site data.
What are the limitations?: The review focuses primarily on geometric modelling aspects and may not cover all non-geometric data integration challenges.