Application analysis of three-dimensional real scene modeling of substation site based on UAV tilt photography

Wu, Hailiang; Wang, Yamin; Xing, Lin; Duan, Jinhui; Cheng, Niancai; Su, Jizhi; Zhang, WuChen

doi:10.1109/icid54526.2021.00050

Cited by 8 publications

(3 citation statements)

References 1 publication

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“…Furthermore, the high‐voltage equipment is aligned close to each other, significantly increasing the risk of collision, especially during an accidental landing. To minimize those risks the most papers on the topic propose either to monitor substations from a high altitude or to plan routes around the substation without flying between the equipment (Komar et al, 2020; Wu et al, 2021; Yu et al, 2020). The last option is possible because substations have a relatively small area, allowing UAVs to diagnose most of the equipment even without crossing the border of the facility.…”

Section: Related Workmentioning

confidence: 99%

Automated mission planning for aerial large‐scale power plant thermal inspection

Romanov,

Gyrichidi,

Volkova

et al. 2024

Journal of Field Robotics

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Close‐range aerial inspection of large‐scale industrial facilities such as power plants is complex. It is characterized by a few areas suitable for safe landing, many obstacles, complicated radio communication, and so forth. The paper presented a new offline approach for automated mission planning in such conditions. It is based on novel concepts of ‐shaped flight profile and safe altitude map. These concepts reduce the mission planning task to a multiple traveling salesmen problem on a two‐dimensional map, which is solved using rapidly exploring random tree and genetic algorithms. A computational fluid dynamics‐based local turbulence map concept was proposed to avoid turbulence zones during inspection flights. As an advantage, this map can be generated at least 6.8× faster than the known approaches. Our new multicopter flight time prediction model provides an error of less than 10% in most cases and significantly outperforms those implemented in commercial mission planning software. All the proposed solutions were verified during a 2400‐MW power plant inspection. Our algorithms managed to plan to visit all the inspection points in six routes, approximately 15 min long each. This mission set has a comparable overall duration but better safety and even battery usage compared with the routes planned by a qualified operator. Moreover, the designed aerial inspection system provides higher quality images than manually from the ground using a thermal camera with two times higher sensitivity and equipped with more advanced optics. To our knowledge, this research is the first to report the successful implementation of autonomous unmanned aerial vehicle‐based power equipment diagnostics on a large‐scale thermal power plant.

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Section: Related Workmentioning

confidence: 99%

Automated mission planning for aerial large‐scale power plant thermal inspection

Romanov,

Gyrichidi,

Volkova

et al. 2024

Journal of Field Robotics

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“…Meanwhile, unmanned aerial vehicle (UAV) photogrammetry has been used in a growing number of diverse applications across different scientific disciplines, and as oblique photogrammetry technology continues to advance, its application prospects in digital cities and smart city development are becoming increasingly vast. (Dupont, 2022; Guan et al., 2016; Wu et al., 2021). Compared with airborne LiDAR, oblique photogrammetry technology has a low point cloud acquisition cost and has gradually emerged in intelligent building extraction.…”

Section: Introductionmentioning

confidence: 99%

Building extraction from oblique photogrammetry point clouds based on PointNet++ with attention mechanism

Hu,

Tan,

Kang

et al. 2024

The Photogrammetric Record

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Unmanned aircraft vehicles (UAVs) capture oblique point clouds in outdoor scenes that contain considerable building information. Building features extracted from images are affected by the viewing point, illumination, occlusion, noise and image conditions, which make building features difficult to extract. Currently, ground elevation changes can provide powerful aids for the extraction, and point cloud data can precisely reflect this information. Thus, oblique photogrammetry point clouds have significant research implications. Traditional building extraction methods involve the filtering and sorting of raw data to separate buildings, which cause the point clouds to lose spatial information and reduce the building extraction accuracy. Therefore, we develop an intelligent building extraction method based on deep learning that incorporates an attention mechanism module into the Samling and PointNet operations within the set abstraction layer of the PointNet++ network. To assess the efficacy of our approach, we train and extract buildings from a dataset created using UAV oblique point clouds from five regions in the city of Bengbu, China. Impressive performance metrics are achieved, including 95.7% intersection over union, 96.5% accuracy, 96.5% precision, 98.7% recall and 97.8% F1 score. And with the addition of attention mechanism, the overall training accuracy of the model is improved by about 3%. This method showcases potential for advancing the accuracy and efficiency of digital urbanization construction projects.

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“…Oblique photography 3D reconstruction utilizes multiple optical sensors to simultaneously collect data from multiple angles on the target area, and it can quickly and efficiently restore the structure of ground objects and attach real textures, thus providing real information of ground objects and effectively reducing the cost of modeling, especially in the fields of 3D model construction [5]. It has become one of the most used tools for city and mine modeling [6,7].…”

Section: Introductionmentioning

confidence: 99%

A Three-Dimensional Triangle Mesh Integration Method for Oblique Photography Model Data

Che,

Su,

et al. 2023

Buildings

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Oblique photography 3D models are increasingly used in 3D modeling and visualization, urban planning and design, smart cities, smart mines, and other fields. To ensure that 3D models can be replaced and updated, it is necessary to deal with the model holes and incomplete areas caused by the incorrect matching of feature points in the modeling process. Moreover, in 3D models of the planning and management of certain mining areas or urban areas to be developed, regions can also be delineated for replacements and updates. Due to the unsatisfactory display effect of the manually modeled models used to replace and update, the authenticity of the model texture and the detail characteristics of the model triangle meshes cannot be guaranteed during integration. Therefore, this paper proposes a 3D model triangle mesh integration method for oblique photography data which integrates the real and complete 3D models used for replacement with the incomplete part or the part of the original model that needs to be replaced. The experimental results show that this method can integrate the original terrain model and the replacement model efficiently and quickly, the integrated model has no gap, and the display effect is good, effectively achieving model repair or model update and replacement.

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Application analysis of three-dimensional real scene modeling of substation site based on UAV tilt photography

Cited by 8 publications

References 1 publication

Automated mission planning for aerial large‐scale power plant thermal inspection

Automated mission planning for aerial large‐scale power plant thermal inspection

Building extraction from oblique photogrammetry point clouds based on PointNet++ with attention mechanism

A Three-Dimensional Triangle Mesh Integration Method for Oblique Photography Model Data

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