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111 Automated analysis of DWG -files with LLM and Pandas
10 June 2025
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113 Data as a resource in decision making
10 June 2025

112 Next steps moving from closed formats to open data

When working with the design data of the future, it is unlikely that anyone really needs to understand the geometric kernels of proprietary tools or learn hundreds of incompatible formats containing the same information. However, without understanding why the move to open structured data is important, it is difficult to argue for the use of new free tools, open data, and approaches that are unlikely to be promoted by software vendors.

In this chapter we have discussed the key features of CAD (BIM) data, their limitations and opportunities, and that despite the marketing promises of vendors, engineers and designers every day face difficulties in extracting, transferring and analyzing design information. Understanding the architecture of these systems and learning about alternative approaches – based on open formats and automation through LLM – can make life much easier for even a single professional, let alone companies. To summarize this part, it is worth highlighting the main practical steps that will help you apply these approaches to your daily tasks:

  • Expand your toolkit for working with project data

Explore available plug-ins and utilities to extract data from the CAD – (BIM-) systems you use

Explore available SDKs and APIs that allow you to automate data extraction from closed formats without having to manually open specialized software

Master basic skills in working with open non-parametric geometry formats (OBJ, glTF, USD, DAE) and corresponding open source libraries

Try to think about a system for storing project metadata separate from geometry outside of CAD (BIM) solutions to simplify analysis and integration with other systems

Use LLM to automate data conversion issues between formats

  • Create your own processes for handling project information

Begin to describe tasks and modeling requirements through parameters and their values in simple and structured formats

Create a personal library of scripts or code blocks for frequently performed operations

  • Promote the use of open standards in your work

Invite colleagues and partners to share data in open formats that are not restricted by the software vendor ecosystem

Demonstrate the benefits of using structured data with specific examples

Initiate discussions about problems with closed formats and possible solutions

Even if you cannot change your company’s policy regarding CAD – (BIM-) platforms, a personal understanding of the principles of working with project data in open formats will allow you to significantly increase the efficiency of your work. By creating your own tools and methods for extracting and transforming data from different formats, you not only optimize your workflows, but also gain the flexibility to bypass the limitations of standard software solutions.

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  • ALL THE CHAPTERS IN THIS PART
  • A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACH (8)
  • CLASSIFICATION AND INTEGRATION: A COMMON LANGUAGE FOR CONSTRUCTION DATA (8)
  • DATA FLOW WITHOUT MANUAL EFFORT: WHY ETL (8)
  • DATA INFRASTRUCTURE: FROM STORAGE FORMATS TO DIGITAL REPOSITORIES (8)
  • DATA UNIFICATION AND STRUCTURING (7)
  • SYSTEMATIZATION OF REQUIREMENTS AND VALIDATION OF INFORMATION (7)
  • COST CALCULATIONS AND ESTIMATES FOR CONSTRUCTION PROJECTS (6)
  • EMERGENCE OF BIM-CONCEPTS IN THE CONSTRUCTION INDUSTRY (6)
  • MACHINE LEARNING AND PREDICTIONS (6)
  • BIG DATA AND ITS ANALYSIS (5)
  • DATA ANALYTICS AND DATA-DRIVEN DECISION-MAKING (5)
  • DATA CONVERSION INTO A STRUCTURED FORM (5)
  • DESIGN PARAMETERIZATION AND USE OF LLM FOR CAD OPERATION (5)
  • GEOMETRY IN CONSTRUCTION: FROM LINES TO CUBIC METERS (5)
  • LLM AND THEIR ROLE IN DATA PROCESSING AND BUSINESS PROCESSES (5)
  • ORCHESTRATION OF ETL AND WORKFLOWS: PRACTICAL SOLUTIONS (5)
  • SURVIVAL STRATEGIES: BUILDING COMPETITIVE ADVANTAGE (5)
  • 4D-6D and Calculation of Carbon Dioxide Emissions (4)
  • CONSTRUCTION ERP AND PMIS SYSTEMS (4)
  • COST AND SCHEDULE FORECASTING USING MACHINE LEARNING (4)
  • DATA WAREHOUSE MANAGEMENT AND CHAOS PREVENTION (4)
  • EVOLUTION OF DATA USE IN THE CONSTRUCTION INDUSTRY (4)
  • IDE WITH LLM SUPPORT AND FUTURE PROGRAMMING CHANGES (4)
  • QUANTITY TAKE-OFF AND AUTOMATIC CREATION OF ESTIMATES AND SCHEDULES (4)
  • THE DIGITAL REVOLUTION AND THE EXPLOSION OF DATA (4)
  • Uncategorized (4)
  • CLOSED PROJECT FORMATS AND INTEROPERABILITY ISSUES (3)
  • MANAGEMENT SYSTEMS IN CONSTRUCTION (3)
  • AUTOMATIC ETL CONVEYOR (PIPELINE) (2)

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061 Masterformat, OmniClass, Uniclass and CoClass the evolution of classification systems

Historically, construction element and work classifiers have evolved in three generations, each reflecting the level of available technology and the current needs of the industry in a particular time period (Fig. 4.2-8): First generation (early...

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Theoretical Chapters:

Practical Chapters:

What You'll Find on
DDC Solutions:

  • CAD/BIM to spreadsheet/database converters (Revit, AutoCAD, IFC, Microstation)
  • Ready-to-deploy n8n workflows for construction processes
  • ETL pipelines for data synchronization between systems
  • Customizable Python scripts for repetitive tasks
  • Intelligent data validation and error detection
  • Real-time dashboard connectors
  • Automated reporting systems

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Theoretical Chapters:

Practical Chapters:

What You'll Find on
DDC Solutions:

  • CAD/BIM to spreadsheet/database converters (Revit, AutoCAD, IFC, Microstation)
  • Ready-to-deploy n8n workflows for construction processes
  • ETL pipelines for data synchronization between systems
  • Customizable Python scripts for repetitive tasks
  • Intelligent data validation and error detection
  • Real-time dashboard connectors
  • Automated reporting systems
112 Next steps moving from closed formats to open data
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