Combined infrared imaging and structure from motion approach for building thermal energy efficiency and damage assessment

Sabato, Alessandro; Puliti, Marco; Niezrecki, Christopher

doi:10.1117/12.2558796

Cited by 5 publications

(6 citation statements)

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“…Even without metadata in the images, they obtain first IR point clouds. Sabato et al 13 present further measurements and results with a FLIR Vue Pro, including IR point clouds and a reconstructed mesh using Pix4Dmapper. They state that RGB and IR images cannot be used within one SfM workflow due to the "impossibility to properly define common image descriptors".…”

Section: D Referencingmentioning

confidence: 99%

“…They state that RGB and IR images cannot be used within one SfM workflow due to the "impossibility to properly define common image descriptors". 13 Javadnejad et al 14 use SfM to generate RGB point clouds. By 2D or 3D co-registration, they obtain IR point clouds which have higher accuracy, point density, and reliability than SfM solely based on IR images.…”

Section: D Referencingmentioning

confidence: 99%

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Evaluation of thermography-based automated delamination and cavity detection in concrete bridges

Merkle

Reiterer

2021

Automated Visual Inspection and Machine Vision IV

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The stability, durability, and safety of concrete bridges are not only endangered by visible damages on the surface such as cracks or spalling, but also internal damages such as cavities, delamination, or material changes due to carbonation or moisture penetration. In Germany, the inspection is regulated by the norm DIN 1076. Accordingly, the inspectors with an experienced hearing still interpret the sound of a hammer on the entire underside of the bridge. Therefore, to inspect the underside of a bridge with its underlying infrastructures like traffic, water, or railroads and its usually complex and difficult to reach structures, including girders, a fast and reliable remote sensing approach is required to increase both efficiency and level of automation. This paper summarizes recent work using both passive and active thermography for bridge inspection. We compare three different sensor systems including the Parrot Anafi Thermal, the FLIR Vue Pro R, and the FLIR SC640 which could be used in a UAV, UGV, or human based inspection. To test and verify our concepts, we apply passive thermography on real concrete bridges in Freiburg (Germany) and derive 2D and 3D data using a photogrammetric approach. We analyse spatial and thermal resolution dependent on camera selection, working distance, weather conditions, and the bridges' surface properties. For damage detection, we use high-pass or lowpass filtering dependent on the ambient temperature gradient. Moreover, we discuss further damage detection methods that could be integrated into the proposed processing workflow.

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Section: D Referencingmentioning

confidence: 99%

Section: D Referencingmentioning

confidence: 99%

Evaluation of thermography-based automated delamination and cavity detection in concrete bridges

Merkle

Reiterer

2021

Automated Visual Inspection and Machine Vision IV

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“…As mentioned previously, an efficient way of developing thermal models in the combination of BIM is laser scanning that provoked a heated debate over the last decade. [101][102][103][104][105][106] Image processing has great potential for creating thermal models; however, a few issues remain with the methodology. Regardless of low-quality infrared images and the negative influence of external-beam radiation, the approach's main downside is the inability to monitor the construction projects in an automated manner.…”

Section: Investigated the Incorporationmentioning

confidence: 99%

Dynamic thermal simulation based on building information modeling: A review

Hosseini

Shirmohammadi

Kasaeian

et al. 2021

Intl J of Energy Research

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With the emergence of the fourth industrial revolution and extensive promotion of information communication tools, it is on the construction industry to reconsider the current linear design approach and adopt more integrated design approaches that encompass dynamic thermal simulation. Building information modeling (BIM), without a doubt, is a technology, which proposes an integrated practice for building design. Design team using BIM cooperatively work on each activity loop during the design procedure and present a three-dimensional (3D) design model with all data from various disciplines attached at the final stage. The inclusion of a data-rich 3D shape into the design procedure marks the dynamic thermal simulation as a simple, accessible, and, more importantly, decisive stage. This article aims to draw the role of BIM in facilitating the inclusion of dynamic thermal simulation in building design procedures. BIM in this article is introduced as an effective remedy for dealing with the linear nature of conventional building design that is the major impediment to the inclusion of dynamic thermal simulations in the design efforts. This article goes through the conventional method's deficiencies and challenges with the BIM-based method to portray each approach's advantages and disadvantages. Renowned BIM software, interoperable simulation tools, and their distinguishing characteristics are introduced in summary to give a better insight into the application of BIM for dynamic thermal simulation purposes. Additionally, a literature survey on applying the introduced tools is

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“…Based on the SFM algorithm, it can obtain centimeter-level precision 2D maps and 3D models from the ground, a light UAV, or aerial image processing. Since some scholars have verified the feasibility of using Pix4Dmapper for thermal infrared 3D reconstruction [22], this paper uses it for 3D reconstruction directly. As shown in Figure 6, the 743 images collected above are imported into Pix4Dmapper.…”

Section: D Reconstruction Based On Tir Imagesmentioning

confidence: 99%

“…It was obvious that this method was a combination of a 2D image and a 3D model, but the temperature of the building enclosure can only be read in the 2D image. In another study in 2020, the established 3D model did not have specific temperature information either [21,22]. In 2018, Chen Yingying captured the image of the building by carrying two cameras (a TIR camera and an optical camera) in the UAV simultaneously, and then combined TIR images and optical images to reconstruct the 3D building model efficiently and accurately.…”

Section: Introductionmentioning

confidence: 99%

A Thermal Performance Detection Method for Building Envelope Based on 3D Model Generated by UAV Thermal Imagery

et al. 2020

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The evaluation and renovation of existing building envelope has important practical significance for energy conservation and emission reduction in the field of architecture. With the development of digital cities, 3D models with rich temperature information can realize the comprehensive and accurate detection and evaluation of the existing building envelope. However, the 3D model reconstructed from thermal infrared images has only relative temperature distribution and no temperature value of each location, so it is impossible to quantify the extent of the defect from it. To solve this issue, this paper develops a method to establish a 3D point cloud model with temperature information at selected points. The proposed 3D model is generated based on the thermal infrared images acquired by an unmanned aerial vehicle (UAV) equipped with an infrared camera. In the generated 3D thermal infrared model, we can not only get the relative temperature distribution of the building’s full envelope structure, but also obtain the exact temperature value of any selected point. This method has been verified by field measurements and the result shows that the deviation is within 5 °C. In addition to temperature information, the generated 3D model also has spatial and depth information, which can reflect the appearance information and 3D structure of the monitoring target more realistically. Thus, by using this method, it is possible to achieve a comprehensive, accurate, and efficient on-site assessment of the building envelope in the urban area.

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Combined infrared imaging and structure from motion approach for building thermal energy efficiency and damage assessment

Cited by 5 publications

References 0 publications

Evaluation of thermography-based automated delamination and cavity detection in concrete bridges

Evaluation of thermography-based automated delamination and cavity detection in concrete bridges

Dynamic thermal simulation based on building information modeling: A review

A Thermal Performance Detection Method for Building Envelope Based on 3D Model Generated by UAV Thermal Imagery

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