The digitization of the AECO industry is increasing the need for digital decision -support systems (DDSS) in building management. Despite technological progress, developing such systems still demands significant resources. In particular, integrating diverse building data remains a challenge. Addressing this, the paper introduces BTwin, a toolkit designed to simplify the prototype development of DDSSs supporting decision-making in performance-based building management. This software library facilitates linking data from multiple sources into graph networks , like building information models and time series databases , providing a low -code and opensource framework for creating user-friendly web applications using connector logic.
| Authors | Massafra, A.; Predari, G.; Gulli, R. |
|---|---|
| Year | 2024 |
| Venue | EC3 2024 |
| DOI | 10.35490/ec3.2024.242 (auto-fetched · CrossRef) |
| Source Database | Backtracking |
| Bridge-to-GNN | Category B |
| GNN Architecture | Graph Construction Tool (inferred from title) |
| Graph Encoding | BIM Element Topology Graph (inferred from title) |
| AEC Task | Not yet extracted from PDF |
| Cohort | Mature Applications (2024–2026) |
| Implementation Framework | NetworkX, Topologic, Revit / Dynamo, Neo4j (heuristic — verify) |
|---|---|
| Primary Metric | Mean Average Precision (mAP) (heuristic — verify) |
| Key Finding | BTwin, a software toolkit designed for simp le and costeffective prototyping of DDSSs for building management (heuristic — verify) |
| Quality Assessment | 1/6 · rigor: Low · Code/Data: ✓ (heuristic — verify) |
| GNN architectures detected | Knowledge Graph Embedding (TransE/RotatE/DistMult) |
|---|---|
| Frameworks / libraries | NetworkX · Topologic / Topologicpy · Revit / Dynamo · IFC OpenShell / IfcOpenShell · EnergyPlus · Neo4j / Cypher · RDF / OWL / SPARQL · OpenAI / GPT API |
| Quality (heuristic, 6-flag) | 0/6 · rigor: Low Code/Data: —Benchmark: —Baseline: —CV/Split: —Ablation: —Reproducible: — |
Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026