Optical Measurement of Displacements Using Supbixel Image Registration

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F21%3A00348376" target="_blank" >RIV/68407700:21110/21:00348376 - isvavai.cz</a>

Výsledek na webu

<a href="https://dspace.cvut.cz/handle/10467/92679" target="_blank" >https://dspace.cvut.cz/handle/10467/92679</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Optical Measurement of Displacements Using Supbixel Image Registration

Popis výsledku v původním jazyce

Development of Internet-of-things (IoT) technologies opened the way for remote assessment of structural health. Such an assessment can be accomplished by monitoring relative displacements of structural elements since the imminent failure of civil engineering structures usually manifests through a loss of stiffness and hence excessive displacements under static loading or change in vibration frequencies due to dynamic excitation. With these facts in mind, an open-source tool for real-time measurement of relative displacements based on image registration was developed. The use of upsampled matrix-multiplication discrete Fourier transform and measurement limited to predefined points of interest by virtual extensometers allowed high sampling frequencies with subpixel accuracy. The accuracy of the system with respect to a physical length-scale was assessed, and the software was successfully verified through experimental testing in a laboratory. Besides the proof-of-concept laboratory testing using delicate equipment, the developed software was accommodated in portable hardware to fully benefit from the lightweight algorithms. Existence of such a measurement system enabled remote monitoring of displacements and deformations outdoors. Two types of hardware solutions were tested: (i) intended for real-time measurement with a collection of data at high sampling rates and (ii) reliability-focused hardware for off-grid long-term measurements. Both solutions were tested outdoors; the first for measurement of bridge deflections due to traffic loading and the latter for monitoring of a rock massif stability. Besides real-time measurements, the algorithms were also employed for measurements in an off-line mode. Here, the computationally efficient algorithms allowed processing of larger sequences of images recorded, e.g., using high-speed cameras.

Název v anglickém jazyce

Optical Measurement of Displacements Using Supbixel Image Registration

Popis výsledku anglicky

Development of Internet-of-things (IoT) technologies opened the way for remote assessment of structural health. Such an assessment can be accomplished by monitoring relative displacements of structural elements since the imminent failure of civil engineering structures usually manifests through a loss of stiffness and hence excessive displacements under static loading or change in vibration frequencies due to dynamic excitation. With these facts in mind, an open-source tool for real-time measurement of relative displacements based on image registration was developed. The use of upsampled matrix-multiplication discrete Fourier transform and measurement limited to predefined points of interest by virtual extensometers allowed high sampling frequencies with subpixel accuracy. The accuracy of the system with respect to a physical length-scale was assessed, and the software was successfully verified through experimental testing in a laboratory. Besides the proof-of-concept laboratory testing using delicate equipment, the developed software was accommodated in portable hardware to fully benefit from the lightweight algorithms. Existence of such a measurement system enabled remote monitoring of displacements and deformations outdoors. Two types of hardware solutions were tested: (i) intended for real-time measurement with a collection of data at high sampling rates and (ii) reliability-focused hardware for off-grid long-term measurements. Both solutions were tested outdoors; the first for measurement of bridge deflections due to traffic loading and the latter for monitoring of a rock massif stability. Besides real-time measurements, the algorithms were also employed for measurements in an off-line mode. Here, the computationally efficient algorithms allowed processing of larger sequences of images recorded, e.g., using high-speed cameras.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20102 - Construction engineering, Municipal and structural engineering

Projekt

<a href="/cs/project/GA19-20666S" target="_blank" >GA19-20666S: Smrštěním vyvozené deformace a mikrotrhliny v konstrukčním betonu - monitoring, modelování a identifikace</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů