Multi-Sensor HR Mass Data Models toward Multi-Temporal-Layered Digital Twins: Maintenance, Design and XR Informed Tour of the Multi-Stratified Appian Way (PAAA).

3D landscape Appian Way Digital Twin Mobile Mapping System archaeological preservation cultural routes eXtended reality infrastructure archaeology multi-stratified spherical cameras

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
18 Oct 2023
Historique:
received: 06 06 2023
revised: 24 07 2023
accepted: 04 08 2023
medline: 28 10 2023
pubmed: 28 10 2023
entrez: 28 10 2023
Statut: epublish

Résumé

The article provides an overview of the digitisation project conducted by the Parco Archeologico dell'Appia Antica (PAAA) in Rome, focusing on an 11.7 km section of the Appian Way. This effort is part of the "Appia Regina Viarum" project, supporting the UNESCO heritage site candidacy of the Appian Way. Advanced sensor technologies, including the Mobile Mapping System (MMS), 360° Cameras, Terrestrial Laser Scanner (TLS), digital cameras, and drones, are employed to collect extensive data sets. The primary goal is to create highly accurate three-dimensional (3D) models for knowledge enhancement, conservation, and communication purposes. Innovative tools are introduced to manage High Resolution 3D textured models, improving maintenance, management, and design processes over traditional CAD methods. The project aims to develop multi-temporal Digital Twins integrated with historical documentation, such as Piranesi's imaginary views and architect Canina's monument reconstructions. These informative models function as nodes within the DT, serving the PAAA's geographic hub by means of an eXtended Reality (XR) platform: the paper proposes bridging the physical object and virtual models, contributing to supporting the operators in the maintenance planning as well as information dissemination and public awareness, offering an immersive experience beyond conventional reality.

Identifiants

pubmed: 37896649
pii: s23208556
doi: 10.3390/s23208556
pmc: PMC10610567
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2022 Jun 02;22(11):
pubmed: 35684883
Sensors (Basel). 2023 Mar 08;23(6):
pubmed: 36991661
Sci Rep. 2023 Apr 12;13(1):5981
pubmed: 37045883

Auteurs

Raffaella Brumana (R)

Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, dABClab GIcarus, Via Ponzio 31, 20133 Milan, Italy.

Simone Quilici (S)

Parco Archeologico dell'Appia Antica, MiC-Ministero della Cultura, Piazza delle Finanze 1, 00185 Roma, Italy.

Luigi Oliva (L)

Parco Archeologico dell'Appia Antica, MiC-Ministero della Cultura, Piazza delle Finanze 1, 00185 Roma, Italy.

Mattia Previtali (M)

Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, dABClab GIcarus, Via Ponzio 31, 20133 Milan, Italy.

Marzia Gabriele (M)

Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, dABClab GIcarus, Via Ponzio 31, 20133 Milan, Italy.

Chiara Stanga (C)

Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, dABClab GIcarus, Via Ponzio 31, 20133 Milan, Italy.

Classifications MeSH