Merino, Jorge; Xie, Xiang; Moretti, Nicola; Chang, Janet Yoon; Parlikad, Ajith; (2023) Data Integration for Digital Twins in the built environment based on federated data models. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction 10.1680/jsmic.23.00002. (In press).

Preview

Text merino-et-al-2023-data-integration-for-digital-twins-in-the-built-environment-based-on-federated-data-models.pdf - Accepted Version Download (2MB) | Preview

Abstract

Improving efficiency of operations is a major challenge in Facility Management given the limitations of outsourcing individual building functions to third-party companies. The status of each building function is isolated in siloes which are controlled by these third-party companies. Companies provide access to aggregated information in the form of reports through web portals, emails, or bureaucratic processes. Digital Twins represent an emerging approach to return awareness and control to facility managers by automating all levels of information access (from granular data to defined KPIs and reports) and actuation. This paper proposes a low-latency data integration method that supports actuation and decision making in Facility Management, including construction, operations and maintenance data, and Internet of Things. The method uses federated data models and semantic web ontologies, and it is implemented within a data lake architecture with connections to siloed data to keep the delegation of responsibilities of data owners. A case study in the Alan Reece building (Cambridge, United Kingdom) demonstrates the approach by enabling Fault-Detection-and-Diagnosis of the Heating Ventilation and Air Conditioning system for facility management.

Download activity - last month

Export as CSVJSONXML

Download activity - last 12 months

Export as JSONXMLCSV

Downloads by country - last 12 months

Export as XMLJSONCSV

Archive Staff Only

View Item