Web-based platform to collect, share and manage technical data of historical systemic architectures: the Telegraphic Towers along the Madrid-Valencia path

Authors

DOI:

https://doi.org/10.4995/var.2024.20341

Keywords:

technical knowledge, systemic architecture, digital model, web geographic information system (GIS), Spanish telegraphic tower, decision support system (DSS)

Abstract

Considering the variety of architectural Cultural Heritage typologies, systemic architectures require specific attention in the recovery process. The dimensions of "extension" and "recurrence" at geographic and technological levels affect the complexity of their knowledge process; they require systematic ways for their categorisation and comprehension to guarantee correct diagnosis and suitable rehabilitation. Recent applications involving Internet of Things (IoT) for the built Cultural Heritage have demonstrated the potentialities of three-dimensional (3D) geographic information system (GIS) models and structured databases in supporting complex degrees of knowledge for technicians, as well as management for administrators. Starting from such experiences, the work presents the setting up of a web-based platform to support the knowledge and management of systemic architectures, considering the geographical distribution of fabrics, natural and anthropic boundary conditions, and technical and administrative details. The platform takes advantage of digital models, machine and deep learning procedures and relational databases, in a GIS-based environment, for the recognition and categorisation of prevalent physical and qualitative features of systemic architectures, the recognition and qualification of dominant and recurrent decays and the management of recovery activities in a semi-automatic way. Specifically, the main digital objects used for testing the applied techniques and setting up the platform are based on Red-Green-Blue (RGB) and mapped point clouds of the historical Telegraphic Towers located along the Madrid-Valencia path, resulting from the on-site investigations. Their choice is motivated by the high level of knowledge about the cases reached in the last years by the authors, allowing them to test rules within the decision support systems and innovative techniques for their decay mapping. As the experience has demonstrated, the systematisation of technical details and operative pipeline of methods and tools allow the normalisation and standardisation of the intervention selection process; this offers policymakers an innovative tool based on traditional procedures for conservation plans, coherent with a priority-based practice.

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Author Biographies

Margherita Lasorella, Polytechnic University of Bari

PhD Student at the Department of Civil, Environmental, Land, Construction and Chemistry.
She has specific experience in the field of virtual reality techniques for the recovery and use of the
built heritage, with particular reference to the topics of survey with innovative range-based and
image-based technologies.

Pasquale de-Dato, Universitat Politècnica de València

Adjunct Professor and PhD student at the Department of Architectural Composition who focuses on creating digital twins, augmented and virtual reality for the preservation, enhancement, and management of architectural heritage. He applies his research results to both teaching and professional activities.

Elena Cantatore, Polytechnic University of Bari

Researcher at the Department of Civil, Environmental, Land, Construction and Chemistry.
Her research activities deal with methodologies applied to the historic built environment for the
assessment of its vulnerabilities, its management in risk exposure procedures (both natural and manmade) and innovative processes in supporting their maintenance based on digital models and virtual
reality.

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Published

2024-01-10

How to Cite

Lasorella, M., de-Dato, P., & Cantatore, E. (2024). Web-based platform to collect, share and manage technical data of historical systemic architectures: the Telegraphic Towers along the Madrid-Valencia path. Virtual Archaeology Review, 15(30), 123–140. https://doi.org/10.4995/var.2024.20341

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