The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B4-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 47–53, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-47-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 47–53, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-47-2021

  30 Jun 2021

30 Jun 2021

FROM ARCHITECTURAL SURVEY TO CONTINUOUS MONITORING: GRAPH-BASED DATA MANAGEMENT FOR CULTURAL HERITAGE CONSERVATION WITH DIGITAL TWINS

M. Falcone1, A. Origlia2, M. Campi1, and S. Di Martino3 M. Falcone et al.
  • 1Dept. of Architecture, University Federico II of Naples, Italy
  • 2Urban/Eco, Research Center, University Federico II of Naples, Italy
  • 3DIETI, University Federico II of Naples, Italy

Keywords: Digital Documentation, Cultural Heritage, Digital Twin, Continuous monitoring, Graph databases, Artificial Intelligence

Abstract. Continuous monitoring procedures are becoming even more crucial for assessing the potential deterioration of architectural structures, due to the many inducted advantages. A cultural heritage site, in fact, is constantly subject to degradation, due in particular to atmospheric agents. Preserving it with preventive analyses is an important goal for the scientific community. In this context, data collection methodologies, together with Artificial Intelligence, play a central role for the analysis of surface degradation. This study aims to present a proposal for the automated analysis of the state of degradation of an artefact, exploiting a novel solution including a combination of a graph database and a dynamic Digital Model. In this regard, a preliminary case study is presented, based on the Quadriportico of the Cathedral of San Matteo in Salerno, Italy.