Editorial Feature

Advances in 3D Imaging for Urban Building Monitoring

As cities grow increasingly complex and densely populated, ensuring urban building safety, efficiency, and sustainability has become critical. Traditional methods of monitoring urban structures are often time-consuming, labor-intensive, and limited in scope.

Advances in 3D Imaging for Urban Building Monitoring

Image Credit: ktsdesign/Shutterstock.com

The Emergence and Impact of 3D Imaging Technology

Recently, 3D imaging technology has emerged as a transformative solution providing detailed and accurate visualizations of buildings and their surroundings.

3D imaging techniques like LiDAR, photogrammetry, drone imaging, and 3D laser scanning capture precise data on buildings' physical attributes, from structural integrity to energy efficiency. This data is processed using specialized software to design 3D models that digitally represent buildings, structures, or terrain throughout their lifecycle.

These models provide critical insights for architects, engineers, urban planners, facility managers, and emergency responders, enhancing urban safety and functionality.1

Applications in Urban Building Monitoring

Structural Health Monitoring and Damage Detection

Structural health monitoring is perhaps the most critical application of 3D imaging in urban environments. Traditional methods of assessing building integrity, often based on visual inspections, can be subjective and miss subtle signs of structural stress or damage.

In contrast, 3D imaging technologies, particularly 3D laser scanning, provide a comprehensive and objective approach to structural monitoring. It captures millions of data points to create a detailed "point cloud" of a building's geometry, allowing engineers to detect minute changes in a structure's shape or position over time, such as foundation settlement, wall deformation, or structural fatigue.

For example, in the Yongxin Floodgate Pumping Station project in China, 3D laser scanning improved inspection efficiency by 50 % and reduced costs by 40 % compared to traditional methods. In addition, it allowed for precise measurements of structural elements, enabling early detection of potential issues and more targeted maintenance efforts.

This is particularly valuable in aging urban infrastructure, where proactive monitoring can guide timely interventions and ensure public safety.2

Maintenance and Renovation Planning

3D imaging is transforming maintenance and renovation planning by providing precise digital models that help facility managers visualize building systems, plan interventions, and optimize space utilization. These models serve as a digital twin of the physical structure, enabling virtual walkthroughs, simulating changes, and offering accurate measurements, reducing the need for frequent site visits.

Additionally, they serve as reliable bases for renovation projects, minimizing errors and enhancing urban redevelopment efficiency while maintaining a valuable digital record for future renovations and long-term facility management.3

Historical Preservation

For heritage buildings, 3D imaging offers unparalleled documentation capabilities. Laser scanning can capture intricate architectural details, aiding preservation efforts and creating digital archives of historic structures.

This proved invaluable in cases like the 2019 Notre Dame cathedral fire, where pre-existing 3D scans allowed restoration work to faithfully and precisely recreate damaged elements, even without physical references.

Beyond preservation, 3D models of historical buildings can also enhance public engagement with cultural heritage. Virtual reality experiences based on these models allow people to explore historical structures in detail, even if the physical sites are inaccessible or at risk.4,5

Energy Efficiency Monitoring

As cities strive to reduce their carbon footprint, monitoring and improving the energy efficiency of buildings has become a key priority. By combining 3D geometrical data with thermal imaging, engineers can identify areas of heat loss, such as poorly insulated walls or leaky windows. This allows for more targeted and effective energy retrofit strategies.

On a larger scale, these techniques can be applied across entire neighborhoods or cities, helping urban planners identify high-energy-consuming buildings and prioritize areas for improvement.2,6

Technological Advances in 3D Imaging

Significant advancements have been made in 3D scanning technology. Innovations in techniques and equipment, such as modern laser scanners, photogrammetry, LiDAR- and drone-based imaging systems, have resulted in faster, more accurate, and increasingly portable solutions.

Mobile scanning systems, mounted on vehicles or backpacks, allow for rapid data collection across large urban areas. These systems can capture detailed 3D data of building exteriors and surrounding infrastructure at driving or walking speeds.3

Drone-based Aerial Imaging

UAVs are becoming popular in urban building monitoring for 3D imaging due to their accessibility, rapid deployment, and high-resolution capabilities. They can capture detailed aerial and ground images, facilitating precise 3D models through Structure-from-Motion (SfM). This is particularly useful for inspecting tall buildings, roofs, and other hard-to-reach areas.

After the 2011 Tohoku earthquake and tsunami in Onagawa Town, Japan, a small UAV captured aerial and ground images of a building that had been overturned and washed away, creating detailed 3D models of its damage. These visualizations aided architects, engineers, and emergency responders in making informed decisions about the affected urban areas.7

Real-time 3D Imaging Systems

The development of real-time 3D imaging systems for continuous monitoring in construction projects is increasingly recognized for its pivotal role in ensuring project success. These systems facilitate early detection of schedule delays and enable accurate communication of progress information.

A notable advancement involves the automated registration of video sequences to as-planned building information models (BIM) using augmented monocular simultaneous localization and mapping (SLAM). This approach allows for the seamless integration of visual data with BIM in real time, automating progress assessment and enhancing on-site communication by associating quality and progress visuals within the BIM framework.

Utilizing high-resolution digital cameras and camera-equipped unmanned vehicles (UVs) further enhances data collection efficiency and frequency, offering cost-effective alternatives to traditional manual methods and improving overall project management capabilities.8

Integration with VR and AR

Combining 3D imaging data with virtual and augmented reality technologies opens up new possibilities for visualization and interaction. Virtual reality allows users to immerse themselves in 3D building models, providing an intuitive way to explore and analyze complex structures.

Augmented reality, on the other hand, can overlay 3D model data onto the real world. This has applications in construction, where workers can visualize planned additions or modifications in context. It is also useful in facility management, allowing maintenance staff to "see" hidden building systems like plumbing or electrical wiring.3

Innovative Rotating SAR Mode

3D synthetic aperture radar (SAR) imaging of urban buildings is a hot topic in remote sensing research. SAR provides high-resolution, all-weather capability, making it essential for monitoring building health. However, conventional 2D SAR images suffer from geometric distortions in buildings, complicating their interpretation.

A study published in Remote Sensing introduced a novel approach using rotating synthetic aperture radar (RSAR), which captures 3D building information by acquiring images from two different angles in a single rotation around a straight track.

This approach leverages geometric distortion differences to reconstruct accurate 3D structures, simplifying data acquisition without requiring multiple revisits and minimizing anisotropic interference effects.

While currently focused on generating 3D point clouds of dihedral corner structures at different heights, this technology has potential applications in monitoring critical infrastructure like bridges and tunnels and in cultural heritage preservation.9

Challenges and Considerations

While 3D imaging technologies offer powerful capabilities, they also present significant technical challenges. The sheer volume of data generated by these systems can be overwhelming.

A single high-resolution 3D scan of a building can produce gigabytes of data, necessitating substantial computing resources and specialized software for processing, storing, and analysis. Moreover, the detailed nature of 3D scans raises privacy concerns, emphasizing the need for robust data security measures.

Despite the increasing affordability and accessibility of 3D imaging technologies, widespread implementation encounters cost barriers, particularly for smaller municipalities and building owners, due to substantial initial investments in equipment and software.

Additionally, training personnel to operate 3D scanning equipment and interpret resulting data involves a significant learning curve, complicating integration into many organizations' existing workflows and systems.

Overcoming these hurdles is essential for the widespread adoption and effective use of 3D imaging in urban building monitoring.3,10

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References and Further Reading

  1. Pollock, A. (2023). The use of drones and 3D visualisation for urban planning, construction and operations. [Online]. Royal Institution of Chartered Surveyors. Available at: https://www.rics.org/news-insights/use-of-drones-3d-visualisation-for-urban-planning-construction-operations
  2. Liu, J., Xu, D., Hyyppä, J., Liang, Y. (2021). A survey of applications with combined BIM and 3D laser scanning in the life cycle of buildings. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. doi.org/10.1109/JSTARS.2021.3068796
  3. Xue, J., Hou, X., Zeng, Y. (2021). Review of image-based 3D reconstruction of building for automated construction progress monitoring. Applied Sciences. doi.org/10.3390/app11177840
  4. Markiewicz, J., Tobiasz, A., Kot, P., Muradov, M., Shaw, A., Al-Shamma’a, A. (2019). Review of surveying devices for structural health monitoring of cultural heritage buildings. 12th International Conference on Developments in eSystems Engineering (DeSE). https://doi.org/10.1109/DeSE.2019.00113
  5. Danklmaier, M. (2024). Preservation of Historical Buildings: The huge Potential of 3D Models. [Online] Miviso. Available at: https://www.miviso.com/post/preservation-of-historical-buildings-the-potential-of-3d-models
  6. Zheng, H., Gao, G., Zhong, X., Zhao, L. (2022). Monitoring and diagnostics of buildings' heat loss based on 3D IR model of multiple buildings. Energy and Buildings. doi.org/10.1016/j.enbuild.2022.111889
  7. Yamazaki, F., Matsuda, T., Denda, S., Liu, W. (2015). Construction of 3D models of buildings damaged by earthquakes using UAV aerial images. In Proceedings of the Tenth Pacific Conference on Earthquake Engineering Building an Earthquake-Resilient Pacific. https://aees.org.au/wp-content/uploads/2015/12/Paper_204.pdf
  8. Asadi, K., Ramshankar, H., Noghabaei, M., Han, K. (2019). Real-time image localization and registration with BIM using perspective alignment for indoor monitoring of construction. Journal of Computing in civil Engineering. doi.org/10.1061/(ASCE)CP.1943-5487.0000847
  9. Lin, Y., Wang, Y., Wang, Y., Shen, W., Bai, Z. (2024). Innovative Rotating SAR Mode for 3D Imaging of Buildings. Remote Sensing. doi.org/10.3390/rs16122251
  10. Wei, Y., Kasireddy, V., Akinci, B. (2018). 3D imaging in construction and infrastructure management: Technological assessment and future research directions. Advanced Computing Strategies for Engineering. doi.org/10.1007/978-3-319-91635-4_3  

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Owais Ali

Written by

Owais Ali

NEBOSH certified Mechanical Engineer with 3 years of experience as a technical writer and editor. Owais is interested in occupational health and safety, computer hardware, industrial and mobile robotics. During his academic career, Owais worked on several research projects regarding mobile robots, notably the Autonomous Fire Fighting Mobile Robot. The designed mobile robot could navigate, detect and extinguish fire autonomously. Arduino Uno was used as the microcontroller to control the flame sensors' input and output of the flame extinguisher. Apart from his professional life, Owais is an avid book reader and a huge computer technology enthusiast and likes to keep himself updated regarding developments in the computer industry.

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