Dátovo-orientovaný prístup na zníženie vlhkosti v pamiatkových budovách

Tomáš Funtík; Patrik Šťastný; Ján Erdélyi; Richard Honti

doi:10.51704/cjce.2023.vol9.iss1.pp23-34

Authors

Tomáš Funtík Slovak University of Technology in Bratislava, Faculty of Civil Engineering, Radlinského 11, 81005 Bratislava, Slovak Republic
Patrik Šťastný Slovak University of Technology in Bratislava, Faculty of Civil Engineering, Radlinského 11, 81005 Bratislava, Slovak Republic
Ján Erdélyi Slovak University of Technology in Bratislava, Faculty of Civil Engineering, Radlinského 11, 81005 Bratislava, Slovak Republic
Richard Honti Slovak University of Technology in Bratislava, Faculty of Civil Engineering, Radlinského 11, 81005 Bratislava, Slovak Republic

DOI:

https://doi.org/10.51704/cjce.2023.vol9.iss1.pp23-34

Keywords:

Data collection methodology, capillary moisture, BIM, remedial measures, TLS

Abstract

Today, several measurement methods aimed at identifying the moisture level of building structures are used in practice. The measured data can be connected to the information model of the building, resulting in an organized database, which will enable not only a better and more complex evaluation, but will enable the automation of the evaluation with the use of artificial intelligence. The problem is mainly the absence of building information models, which are not available especially for historical objects. In this article, we focus on the creation of a methodology for the systematic collection of data on humidity conditions in the constructions of monumental buildings, which will be the basis for the proposal of appropriate measures for adjustment. The first step is the digitization of the building through photogrammetry or terrestrial laser scanning. The second step is the creation of a building information model. The last step is to connect the information from the measurement with the building information model. Enriching BIM with a data set of moisture records from various buildings can significantly contribute to a better understanding of the degree of wetting, identification of causes and also help to choose appropriate measures based on proposed measures in the past.

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