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

International archives of the photogrammetry, remote sensing and spatial information sciences., 2021-06, Vol.XLIII-B4-2021, p.47-53 [Peer Reviewed Journal]

2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2194-9034 ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLIII-B4-2021-47-2021

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  • Title:
    FROM ARCHITECTURAL SURVEY TO CONTINUOUS MONITORING: GRAPH-BASED DATA MANAGEMENT FOR CULTURAL HERITAGE CONSERVATION WITH DIGITAL TWINS
  • Author: Falcone, M. ; Origlia, A. ; Campi, M. ; Di Martino, S.
  • Subjects: Agents (artificial intelligence) ; Artificial intelligence ; Cathedrals ; Cultural heritage ; Cultural resources ; Data collection ; Data management ; Degradation ; Digital twins ; Historic sites ; Monitoring ; Surveying
  • Is Part Of: International archives of the photogrammetry, remote sensing and spatial information sciences., 2021-06, Vol.XLIII-B4-2021, p.47-53
  • Description: 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.
  • Publisher: Gottingen: Copernicus GmbH
  • Language: English
  • Identifier: ISSN: 2194-9034
    ISSN: 1682-1750
    EISSN: 2194-9034
    DOI: 10.5194/isprs-archives-XLIII-B4-2021-47-2021
  • Source: Coronavirus Research Database
    ProQuest Central
    DOAJ Directory of Open Access Journals
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