Daniel Glober
BIM-Manager | SCHOLZE-THOST GmbH
Revit and IFC reports that used to take me almost weeks to create are now updated in just a few minutes. I was able to quickly understand what the DataDrivenConstruction did and thus extend and modify it to fit projects.The DataDrivenConstruction team showed me examples of blocks and scripts that can automatically generate PDF, XLSX, and DOCX files that mark errors/defects in the model. Additionally, we also now do automatic checks for IFC structure, file naming, etc.
Nicolas Merot
Ingénieur BIM | Caeli Ingénierie
DataDrivenConstruction products revolutionize data management in construction! Their IFC and RVT to Excel converters enable smooth data analysis and extraction, optimizing project management and documentation. A powerful, user-friendly solution for construction professionals (translated from French)
Mohamed Touati
Principal Data Scientist at Pixemantic
As a data scientist, I use data every day in every topic and field and think that data can appear in one format to make it easier to use and explore. After I tried the DDC converter, it became the only solution for me to manage and convert all BIM documents. Thanks to DataDrivenConstruction, I can now work with all IFC and Revit files automatically without having to upload files to the server.
Vinod Kumar
BIM Manager | Esttareal solutions
DataDrivenConstruction approach is truly revolutionary and has the potential to transform the construction industry. It's amazing to see how you are empowering users to work with structured data in a user-friendly way, leveraging the power of Excel and open-source tools. I'm sure that your Excel plugin and data management solutions will be a game-changer for construction projects. Keep up the fantastic work!
Abdelrahim (Mohamed) Deghidy
BIM Manager l Consolidated Contractors Company
DDC converter and Plugin is a fantastic and helpful tool for visualisation and quantification the meta data from Revit. Thanks for sharing such helpful tools!
Valerio Spini
Settore RVCS
Great experience: Until now, I used to open IFC files in Blocknote to check the parameters and their structure. Thanks to the DataDrivenConstruction converter I can check the parameters and see their structure directly in MS Excel in an orderly and SMART way, amazing!
SIMPLE DATA RETRIEVAL PROCESS
CAD (BIM) DATABASE IN XLSX
ChatGPT and AI in working with CAD data (BIM)
OPTIONS FOR USING THE CONVERTER
Streaming file processing and embedding the conversion process in the code
To extract data from CAD (BIM), the simplest tool is the DDC UI converter.
Start the conversion for CAD (BIM) projects by specifying a folder 📁 with one or several projects. There's also an option to include files from subfolders 📂.
Click the "Start" button 🔘 to begin conversion. The results, Excel files 📊 with complete CAD (BIM) file information, will be available in the specified folder.
The DDC terminal-based converter quickly extracts data from CAD (BIM) with minimal code.
To initiate the conversion in any folder, open Command Prompt or Power Shell 🖥️, and simply enter the path of the folder containing the DDC converter, followed by the path of the file to be converted 📂🔄.
# CMD or PowerShell > C:\\DDCRvtExporter.exe C:\\Example.rvt
DDC Bulk Conversion
🔄 For handling large datasets simultaneously and automated processing
Enables conversion and management of substantial data volumes or integration of 💻🔗 the conversion process into workflow and data processing logic
import os, subprocess, pandas as pd, time # Folder where Revit exporter is located path_conv = r"D:\DDC Converter Revit Community\datadrivenlibs" # The adress of the Revit file on computer file_path = r"D:\RVT_projects\2022 rstadvancedsampleproject.rvt" # Convert a Revit project to an open fotmat process = subprocess.Popen([os.path.join(path_conv, "RvtExporter.exe"), file_path], cwd = path_conv) process.wait() # waiting for process to be completed
USE CAD (BIM) DATA IN A WIDE RANGE OF APPLICATIONS
Popular tools with large communities
Kaggle cloud-based work environment
It allows users to write and execute Python code, and it supports various Python libraries, including Pandas, for reading and writing XLSX files. Kaggle is widely used for data analysis and modeling, and it's an excellent platform for collaborative projects and learning from a community of data scientists.
TRANSLATION OF CAD (BIM) DATA
INTO A STRUCTURED FORM
Converting data from closed, proprietary formats to more accessible formats greatly simplifies the process of working with that data, making it more accessible for analysis, modification, and integration with other systems.
In modern work with CAD (BIM) data, we have reached a stage where it is not necessary to request permission from CAD (BIM) vendors to access the data.
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