📌 About the Project
🌟 Inspiration
The inspiration for this project came from real-world challenges in managing complex engineering and construction data. Traditional project management tools often separate schedules, costs, and design information into isolated systems, making coordination inefficient and error-prone.
I wanted to explore how a model-centric platform could unify these dimensions into a single collaborative environment. The idea was to build a system where stakeholders could visualize, analyze, and manage project data directly on top of a 3D model.
This vision aligns with the broader concept of digital transformation in the AEC (Architecture, Engineering, Construction) industry.
⸻
📚 What I Learned
Working on this project significantly expanded my knowledge across multiple domains:
Technical Skills • 3D model processing and lightweight rendering • WebGL / Three.js visualization • BIM data formats such as IFC • Backend microservice architecture • Real-time data synchronization
System Design
I learned how to design scalable systems that manage both geometric data and business data.
For example, mapping model components to database entities required structured indexing:
Component_ID \rightarrow {Schedule,\ Cost,\ Quality,\ Status}
This relationship enabled multi-dimensional analysis on a single object.
- Collaboration Workflows
I also gained experience designing workflows for: • Issue tracking • Model versioning • Approval pipelines
⸻
🛠️ How I Built the Project
The system was built using a layered architecture:
Frontend → Visualization & Interaction
Backend → APIs & Business Logic
Data → Model + Project Databases
Tech Stack
Frontend • Three.js / WebGL for 3D visualization • React / Vue for UI • Model lightweight rendering engine
Backend • Node.js / Java / Python services • RESTful APIs • Authentication & permission control
Data Layer • BIM model storage (IFC / Revit exports) • Relational database for project data • Object storage for model files
⸻
⚙️ Core Features Implemented • Model aggregation & lightweight viewing • Clash detection integration • 4D schedule simulation • Issue tracking linked to model elements • Quantity takeoff & cost mapping
Progress simulation was calculated using schedule weighting:
Progress = \frac{\sum_{i=1}^{n} Completed_i \cdot Weight_i}{\sum_{i=1}^{n} Weight_i}
This allowed visual comparison between planned and actual progress.
⸻
🚧 Challenges I Faced
- Large Model Performance
BIM models are extremely heavy. Rendering them in browsers required: • Geometry compression • Level of Detail (LOD) • On-demand loading
⸻
- Data Binding Complexity
Linking model elements to business data was challenging because: • Different disciplines used different coding systems • Model updates broke existing mappings
I solved this by introducing a unified component coding standard.
⸻
- Multi-User Collaboration
Concurrency issues appeared when multiple users edited or annotated models simultaneously.
Solutions included: • Version control • Operation logs • Conflict resolution strategies
⸻
🧠 Key Takeaways
This project taught me that building an engineering platform is not only about technology but also about: • Workflow understanding • Industry standards • Cross-discipline collaboration
It reinforced the importance of designing systems that bridge the gap between virtual models and physical construction.
⸻
🚀 Future Improvements • Digital twin integration with IoT sensors • AI-based risk prediction • Automated progress recognition via computer vision • Cloud-native scaling for mega-projects
Built With
- antd
- react
- vite
Log in or sign up for Devpost to join the conversation.