Automatic search for thermal energy leaks in the form of thin gaps during the audit of buildings based on mobile systems

Evgenii Semenishchev; Viacheslav Voronin; Aleksandr Zelensky; Marina Zhdanova; Irina Tolstova

doi:10.1117/12.2559057

27 May 2020 Automatic search for thermal energy leaks in the form of thin gaps during the audit of buildings based on mobile systems

Evgenii Semenishchev, Viacheslav Voronin, Aleksandr Zelensky, Marina Zhdanova, Irina Tolstova

Author Affiliations +

Proceedings Volume 11399, Mobile Multimedia/Image Processing, Security, and Applications 2020; 113990U (2020) https://doi.org/10.1117/12.2559057
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

The structural analysis buildings include integrated data processing. During the analysis, volumes of big data are formed that describe the current state of buildings. Such data are obtained using both sensor systems and human participation. On the basis of sensor systems, the functions of analysis of structural movements, changes in geometry, and microclimate monitoring are implemented. Human-generated data uses fuzzy concepts, such as the beginning of destruction processes, the destruction of protective films, the search for anomalies, etc. The greatest interest in the energy audit of buildings is the analysis of heat losses. Automation of this function allows you to reduce the cost of the process, make it permanent (or increase the frequency) and eliminate the human factor. The paper proposes an approach that allows the primary analysis of thermal images obtained with low-resolution devices. The primary analysis procedure includes procedures for smoothing images, changing color spaces, zooming, and highlighting local stationary areas. The final stage is the procedure for searching for small cracks in structures, the thickness of the leakage area is set by the operator or can change evenly. The decision-making operation is carried out by the user, the proposed approach allows to minimize the analysis procedure and increase productivity. The set of test images obtained by the FLIR C2 camera shows the effectiveness of detecting cracks in the walls of buildings built from various materials.

Citation Download Citation

Evgenii Semenishchev, Viacheslav Voronin, Aleksandr Zelensky, Marina Zhdanova, and Irina Tolstova "Automatic search for thermal energy leaks in the form of thin gaps during the audit of buildings based on mobile systems", Proc. SPIE 11399, Mobile Multimedia/Image Processing, Security, and Applications 2020, 113990U (27 May 2020); https://doi.org/10.1117/12.2559057

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KEYWORDS

Buildings

Thermography

Image fusion

Sensors

Data fusion

Infrared imaging

Mathematical modeling

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