An automated pipeline that transforms raw 3D model metadata into structured cloud spreadsheets. This makes complex geometric data easily accessible and adaptable for various end-uses, from simple data reading to feeding live web platforms.
Problem Statement
Streamlining Complex Metadata Communication
Communication across large design teams presents a significant challenge due to the massive volume of geometric, textual, and numerical data involved.
The primary pain point lies in data translation; managing multiple file formats is highly inefficient and prone to miscommunication. The ideal scenario, and the current missing link, is a streamlined workflow that transmits this complex information into a single, highly specific format that is universally legible and easily accessible for every team involved.
Cross-Functional Stakeholders of the Project
This tool is primarily designed for the Studio’s Data Team, acting as a bridge to communicate geometric data and metadata. It enables them to seamlessly integrate raw data into their Key Performance Indicator (KPI) database.
Additionally, it serves as a vital resource for other cross-functional teams who need to evaluate and monitor the performance metrics of specific geometries throughout the design process.
Proposed Solution
Automated Cloud-Based Metadata Extraction
Automating Data Extraction via Speckle
This Speckle automation extracts architectural KPIs, including areas, use ratios, and evacuation distances, directly from 3D models. It automatically processes this data into a structured Excel or Google Sheet report, providing summary matrices by tower, level, and program for immediate validation.
Demo
Real-time Outputs
A series of tables are generated through automation to help us understand what is happening with each of the geometries imported into Speckle.
Data Validation & Version Comparison
These range from a detailed summary of each geometry to validation tables that check for errors and even changes from previous versions. Where each status highlights where there is matching data, missing data or modified
