UAV, GNSS, total station, and data management applied to an ancient clay structure as a historic building information modeling proposal: a case study of Huaca Arco Iris (Trujillo, Perú)

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In light of current risks and environmental impacts, HBIM (historic building information modeling) offers a highly efficient and interactive method for managing historical data and represent- ing the current states of ancient clay structures. In this study, traditional geodetic techniques were emplo...

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Detalles Bibliográficos
Autores: Espinoza Brugman, Carlos Antonio, Neri Caipo, Frank Kevin
Formato: tesis de grado
Fecha de Publicación:2024
Institución:Universidad de Lima
Repositorio:ULIMA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulima.edu.pe:20.500.12724/22221
Enlace del recurso:https://hdl.handle.net/20.500.12724/22221
Nivel de acceso:acceso abierto
Materia:Drones
Drone aircraft
Ruins
Global positioning system
Building information modeling
Ruinas
Sistema de Posicionamiento Global
Modelado de información de construcción
https://purl.org/pe-repo/ocde/ford#2.01.01
Descripción
Sumario:In light of current risks and environmental impacts, HBIM (historic building information modeling) offers a highly efficient and interactive method for managing historical data and represent- ing the current states of ancient clay structures. In this study, traditional geodetic techniques were employed to digitally locate a structure without compromising its topographic information to create an accurate model. Tools such as total stations, GNSS receivers, and UAVs were utilized to generate detailed topography of the study site and its surroundings. An ontology-based data management structure was also developed to store historical data and site intervention projects, adhering to the ISO 12006-2 standard. This was achieved through automated scripts in Dynamo softwarev.2.18.1. A comparison between the point cloud (279 images) and total station data (600 points) revealed a georeferencing accuracy difference of +/−0.003 m. Consequently, the developed methods can effec- tively represent similar structures digitally. The proposed ontological structure facilitates automated storage of internal and external information.
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