Knowledge Graph For Digital Twin
summary
AiSpanner builds a digital twin that links 3D models, Gantt tasks and resources in a Neo4j graph so planners run simulations, show cranes and waypoints, detect obstacles, and visualize overlapping operations as volumetric conflicts. The system stores document chunks and embeddings for a RAG knowledge base, keeps property version history nodes for auditing, runs critical path and risk scoring with Graph Data Science, and exposes live UI workflows and simulation demos that update the graph in real time. AiSpanner Neo4j RAG
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chapters (12)
- 0:00Introduction
- 1:07Project and digital twin overview
- 4:21Neo4j for project data
- 5:57Implementation details
- 7:56Data model and graph design
- 8:46Advanced data management
- 13:53Critical path analysis
- 15:05Enterprise knowledge base
- 15:57Document and simulation demo
- 18:19Space management and SIMOPS
- 21:01Technical workflows and UI
- 25:12Analysis and conclusion
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