The operation and maintenance (O&M) management of the vast existing building stock is chronically hindered by the lack of centralized and accessible information about its assets. With this in mind, this article proposes a robust and replicable protocol to solve this problem.
This research adopts the design science research approach, whose artifact is a five-phase methodological protocol, grounded in a systematic literature review following the PRISMA guidelines. The protocol's feasibility is demonstrated through an ongoing pilot application at the University of Brasília.
It is argued that the application of this protocol creates the descriptive digital twin, the foundational information layer for future applications of operational digital twins, IoT and artificial intelligence. The protocol directly addresses the critical challenges of interoperability and data fragmentation.
The originality lies in the formalization of a systematic and validated workflow that bridges the gap between the capture of physical reality and the creation of a semantically rich asset inventory for O&M.
