Fusion of UAV-based infrared and visible images for thermal leakage map generation of building facades

Motayyeb, S.; Samadzedegan, Farhad; Javan, Farzaneh Dadrass; Hosseinpour, Hamidreza

doi:10.1016/j.heliyon.2023.e14551

Cited by 7 publications

(2 citation statements)

References 44 publications

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“…Identification of minor damage, such as cracking, can be difficult due to background noise and different facade materials, requiring the development of suitable learning methods for identifying such degradations [17]. The paper [18] also presents the possibility of using UAVs to generate maps of thermal leaks in elevations that result in reduced energy efficiency of buildings.…”

Section: Laser Scanningmentioning

confidence: 99%

The Diagnostics of the Condition and Management of Large-Panel Buildings Using Point Clouds and Building Information Modelling (BIM)

Wardach,

Pawłowicz,

Kosior-Kazberuk

et al. 2023

Buildings

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Technological developments involving the implementation of modern measuring equipment and the digitalisation of civil engineering can contribute to extending the service life of buildings. Large-panel buildings constitute a large housing stock throughout Europe. This paper presents the possibility of using laser scanning to identify typical assembly defects in large-panel buildings. Based on point cloud data, numerical models were created to assess the impact of improper assembly on the elements’ performance. It was indicated that using scanning to identify and monitor the displacement of structural elements does not relieve experts of the need to perform other tests. Analyses related to the possibility of using Building Information Modeling technology to manage large-panel buildings were also conducted. A parametric model was made, from which a number of possibilities of its use at every stage of the building’s life were presented in an example. It was highlighted that parametric models of large-panel buildings, due to their repeatable geometry, can be copied for use in managing entire neighbourhoods. Limitations associated with implementing BIM technology in practice were also formulated. The analyses and research performed confirm the validity of implementing modern research methods in engineering practice and digitising the documentation of large-panel buildings.

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Section: Laser Scanningmentioning

confidence: 99%

The Diagnostics of the Condition and Management of Large-Panel Buildings Using Point Clouds and Building Information Modelling (BIM)

Wardach,

Pawłowicz,

Kosior-Kazberuk

et al. 2023

Buildings

View full text Add to dashboard Cite

show abstract

“…However, due to the variety of building materials and the surrounding environment, thermal imaging data frequently contains noise and artifacts, reducing the precision and reliability of temperature distribution [6]. Traditional signal processing approaches, while capable of reducing noise, are nonetheless challenged by complex backgrounds and uncertainty [7].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Methodology for Building Surface Inspection Using Infrared Thermography and Numerical Simulation

Bao,

Zhang

2024

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Artificial Intelligence for Predicting Reuse Patterns

Armeni,

Raghu,

De Wolf

2024

Circular Economy and Sustainability

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Artificial intelligence, and specifically the subfields of computer vision and machine learning, has become a topic with great potential for predicting reuse patterns in the built environment. With sensors that collect visual data becoming more readily available, new opportunities are created to digitalise the built environment by applying technologies from these fields. Applications include exploring the design space, monitoring construction progress, and improving building performance during operation. Using these applications to increase circularity in the built environment requires information about in-use building products and their attributes (e.g. type, material, size, geometry, condition, etc.). This information is a starting point for many downstream circular processes and a core component of circular databases, which can enable designers, constructors, and facility managers to follow a circular paradigm. Many advancements have been made in academia and industry towards extracting such information from visual and other building data, e.g. for the downstream processes of predicting material reusability or automating the maintenance of building facades. This chapter presents efforts on this front and highlights the gaps in adopting and utilising these technologies for the circular built environment, including challenges in developing comprehensive systems for their deployment and in robustly evaluating them. It also discusses business and organisational considerations with respect to adoption, utilisation, and development of the technologies in the circular context.

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Fusion of UAV-based infrared and visible images for thermal leakage map generation of building facades

Cited by 7 publications

References 44 publications

The Diagnostics of the Condition and Management of Large-Panel Buildings Using Point Clouds and Building Information Modelling (BIM)

The Diagnostics of the Condition and Management of Large-Panel Buildings Using Point Clouds and Building Information Modelling (BIM)

Enhanced Methodology for Building Surface Inspection Using Infrared Thermography and Numerical Simulation

Artificial Intelligence for Predicting Reuse Patterns

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