Speaker
Description
Long-term structural health monitoring (SHM) depends on sensor readings whose metrological validity may change over time. The installed sensors pose a metrological challenge when periodic laboratory calibration is impractical or impossible. This paper proposes a lakehouse-supported conceptual architecture for a metrologically grounded sensor-network digital twin whose twinned object is the installed SHM measurement system rather than the structural asset. Traceability, measurement uncertainty, metrological evidence, measurement confidence, sensor health, provenance, and data quality are represented as operational states of the measurement system. The architecture separates an observational plane for high-rate sensor streams from a metrological-evidential plane for event-driven evidence and time-valid metrological state. The output is a qualified measurement result. The proposed framework provides a traceable basis for future implementation and validation of Metrological Digital Twin concepts in civil engineering SHM.