Preliminary communication

https://doi.org/10.31803/tg-20201110124401

UAV, Digital Processing and Vectorization Techniques Applied to Building Condition Assessment and Follow-up

Carles Serrat orcid.org/0000-0002-1504-5354 ; IEMAE-EPSEB and Dept. of Mathematics, Universitat Politècnica de Catalunya-BarcelonaTECH, Dr Marañón, 44-50, 08028-Barcelona, Spain
Sebastian Banaszek orcid.org/0000-0001-6470-6270 ; Training and Research Center “DroneTechCamp” Ul. Jarocka 64/2, 10-699, Olsztyn, Poland
Anna Cellmer ; Dept. of Geoinformatics, The Faculty of Civil Engineering, Environmental Engineering and Geodesy, Koszalin University of Technology, Ul. Śniadeckich 2,75-453 budynek E pokój 212-2 E, Koszalin, Poland
Vicenç Gibert ; LABEDI-EPSEB and Dept. of Architectural Technology, Universitat Politècnica de Catalunya-BarcelonaTECH, Dr Marañón, 44-50, 08028-Barcelona, Spain
Anna Banaszek orcid.org/0000-0002-2744-2023 ; banaszek group, Ul. Jarocka 64/2, 10-699, Olsztyn, Poland

Abstract

The aim of the paper is to explain the basic principles of carrying out an inventory and follow-up of buildings and their condition assessment, by using the Full Interactive Visualization Method for Building Condition Assessment platform. It is a platform enabling the implementation of construction inventory based on the remote cooperation of many specialists in the field of, among others: building construction, architecture, civil engineering, photogrammetry, CAD, UAV. This type of cooperation is of particular importance especially in the context of the current epidemiological situation related to COVID-19. The idea of the presented platform fits into the broadly understanding of Building Information Modeling. After introducing the methodology, stages of the inventory and follow-up process carried out within the platform are illustrated and discussed on the basis of a case study. Based on the obtained results it can be concluded that the proposed methodology creates a convenient, efficient and inexpensive tool for massive inspection of building resources in large areas. The inventory is based primarily on high-quality photo and video material obtained from the deck of an unmanned aerial vehicle and the expert knowledge of the inspector conducting the inspection. By combining digital images data (photos, 3D model, orthophotos) with substantive data (facade element classification tables, wear / defect classification tables), we get a platform that allows intuitive access to viewing, classification, editing and analysis of selected data.

Keywords

BIM; building condition assessment; GIS; monitoring; UAV

Hrčak ID:

247429

URI

https://hrcak.srce.hr/247429

Publication date:

9.12.2020.

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