AUTOMATIC DIAGNOSTICS AND MONITORING THROUGH HISTORIC BUILDING INFORMATION MODELLING Digital technologies to manage knowledge and preservation of architectural heritage

The refurbishment is challenging as it requires efficient organization and analysis of knowledge about historic heritage. It is very critical because of ambiguities of workflows and information exchanges, dispersion of documentation and use of inadequate tools to reduce risks. Academics and professionals are more and more interested in experimenting with innovative methodologies and operative methods to deal with the uncertain context. In this perspective, the book proposes a possible framework for automatic diagnosis and monitoring of historic buildings to support decisions. This framework derives from the gaps in knowledge, methods and tools identified with a critical literature review, finding Historic Building Information Modelling a suitable Information Technology for knowledge base management, reasoning and professional remote collaboration, both with a file-based and a data-based approach. Afterwards, the Diagnosis-aided Historic Building Information Modelling for performance assessment of historical assets has been implemented in each phase: knowledge structuration, data acquisition, parametric modelling, semantic enrichment of diagnostic surveys and real-time monitoring with file-based management and web-based documentation, analysis and sharing through a cloud-based HBIM platform. The DA-HBIMM has been tested on national and international historic buildings.