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)

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.

Name thesis:degree_name

Ingeniero Civil

Level thesis:degree_level

Título Profesional

Discipline thesis:degree_discipline

Ingeniería Civil

Grantor dc:publisher

Universidad de Lima

Year dc:date.issued

2024

Authors dc:creator

• Espinoza Brugman, Carlos Antonio
• Neri Caipo, Frank Kevin

Advisor dc:contributor.advisor

• Del Savio, Alexandre Almeida

• Drones
• Drone aircraft
• Ruins
• Global positioning system
• Building information modeling
• Ruinas
• Sistema de Posicionamiento Global
• Modelado de información de construcción

Statement dc:rights

• info:eu-repo/semantics/openAccess

Licence dc:rights.uri

• https://creativecommons.org/licenses/by-nc-sa/4.0/

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/20.500.12724/22221

OAI identifier oai:identifier

oai:repositorio.ulima.edu.pe:20.500.12724/22221