Table 3

Demonstrated core functionalities

Design objective/RQ linkDemonstrated functionalityEvidence/outputRelevant level 3 indicator
Integrate static BIM and dynamic data (RQ1)Successful ingestion and mapping of IFC (BIM) and JSON (sensor/simulator) data into unified MongoDB collectionsScreenshot of database schema and sample documents; description of the automated parsing pipelineFoundation for all indicators
Compute and visualize KPIs in real-time (RQ2)Live dashboard display of simulated energy use, derived operational carbon and real sensor readings (temp, humidity, light)Figure 5 (revised caption to clarify data is simulated/live from scale model)1.2 (Energy), 2.1 (GWP), 3.1 (IEQ)
Enable stakeholder interaction via AI (RQ4)Operational rule-based chatbot responding to predefined queries about dashboard data and Level(s) indicatorsChatbot interface screenshot with example Q&AEnhances engagement for all indicators
Ensure secure, scalable data exchange (RQ3)Functional end-to-end data flow using REST APIs and WebSockets with <5s latency in the test environmentArchitecture diagram (Figure 2) and description of data flow confirmationTechnical enabler

or Create an Account

Close subscription notice
Close access options