Abstract
Unmanned Aerial Vehicles (UAVs) are becoming more and more popular for use in a various sectors of the economy. The paper presents the results of experiments using a UAV, equipped with a high resolution digital camera, for a visual assessment of technical condition of a building with connection to a big project implemented in Barcelona that required visual data about buildings and their changes with time. Authors try to find out possibilities for the usefulness of digital images obtained from the UAV deck in concrete examples and figure out if they may be complementary to traditional ways used so far in a project called Building Research Analysis and Information Network, which is a platform for analysis to allow strategic decision-making for the maintenance and the sustainability of building stock.
Highlights
BRAIN (Building Research Analysis and Information Network) has been introduced by Serrat et al (2017) [1] as a platform for the predictive analysis of the urban canyon
The paper presents the results of experiments using a Unmanned Aerial Vehicles (UAVs), equipped with a high resolution digital camera, for a visual assessment of technical condition of a building with connection to a big project implemented in Barcelona that required visual data about buildings and their changes with time
Authors try to find out possibilities for the usefulness of digital images obtained from the UAV deck in concrete examples and figure out if they may be complementary to traditional ways used so far in a project called Building Research Analysis and Information Network, which is a platform for analysis to allow strategic decision-making for the maintenance and the sustainability of building stock
Summary
BRAIN (Building Research Analysis and Information Network) has been introduced by Serrat et al (2017) [1] as a platform for the predictive analysis of the urban canyon. BRAIN proposes, in a collaborative network of urban laboratories, a follow-up across time of the technical condition of the facades in a building stock. Supported by a GIS platform and a survival analysis-based methodology, BRAIN aims to infer on the time to the occurrence of potential failures or lesions in the existing facades. After modelling the time-to-event with the statistically significant variables, the predictive system allows strategic decision-making for the maintenance and the sustainability of the building stock. One o the most relevant issues in the methodology is the data collection procedure. The data collection must be as exhaustive and accurate as possible, in order to minimize the variability among inspectors. A massive and periodic inspection should be efficient in terms of data quality versus time and cost resources
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
