A novel static deformation measurement and visualization method for wind turbine blades using home-made LiDAR and processing program

Luo, Wei; Li, Jiahui; Ma, Xiaofeng; Wei, Wei

doi:10.1016/j.optlaseng.2020.106206

Cited by 11 publications

(6 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compared to other systems like [16]- [18], [22] this system considers indoor surroundings and both reflective and non-reflective objects. Also, there are systems based on photogrammetric technologies that may be also useful for obtaining maps based on stereo imaging.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The characteristics of this sensor are shown in Table 1. This is a compact powerful and lightweight ranging and proximity sensor with low power consumption [18]. The Garmin support is used for calibrating LIDAR-Lite v3 sensor [19].…”

Section: A Electronic Components Of the Proposed Systemmentioning

confidence: 99%

“…The goal of this work is to develop a new LIDAR system that is affordable for indoor 3D mapping based on Arduino platform and Garmin LIDAR Lite V3 [15], which is an optical distance measurement sensor. This sensor has been selected for system prototypes dedicated to robot operating, bicycles, and wind turbine blades [16]- [18].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

System for 3D mapping using affordable LIDAR

Krsmanović¹,

Barjaktarović²,

Gavrovska³

2022

Telfor J

View full text Add to dashboard Cite

In this paper a new system for 3D (three-dimensional) mapping using affordable LIDAR (light detection and ranging) is presented. The implementation of LIDAR technology-based approach enables obtaining a point cloud as a representation of indoor surrounding. In recent years with the help of LIDAR this kind of sensing has found numerous applications across various industries. Here, a cloud of points is generated during room scanning using Arduino platform based rotating system. The obtained results are promising, and the proposed solution can find its practical application in different fields. Moreover, it can provide many possibilities for future experiments with surrounding mappings, image matching, autonomous driving, obstacle observation, collision avoidance, material type detection such as transparent ones.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Section: A Electronic Components Of the Proposed Systemmentioning

confidence: 99%

See 1 more Smart Citation

System for 3D mapping using affordable LIDAR

Krsmanović¹,

Barjaktarović²,

Gavrovska³

2022

Telfor J

View full text Add to dashboard Cite

show abstract

“…Being both flexible and lightweight, it is not constrained by steep angles or shadows. Its outstanding performance stretches to the fields of unmanned driving [16] and forest monitoring [17], and it has applications in modeling and mapping, such as bridge deformation monitoring [18][19][20], tunnel safety monitoring [21], and wind turbine monitoring [22][23][24]. High-resolution lidar is often chosen for monitoring bridge deformation [18][19][20], that is, the three-dimensional laser scanner is capable of acquiring point cloud data of high-density objects, though the cost of it is high.…”

Section: Introductionmentioning

confidence: 99%

Lidar-Based Spatial Large Deflection Measurement System for Wind Turbine Blades

Hu,

Zhu,

Zhou

et al. 2024

Optics

View full text Add to dashboard Cite

With the advancement of China’s wind power industry, research into full-scale structural testing of wind turbine blades, including static testing and fatigue testing, has shown increasing significance. Static testing measures the deflection at fixed points, using pull-wire sensors in industrial practice. However, the demerits of this method involve single dimension, excessive deviation, costly experiment, and complex installment. Given the advantages that lidar provides, correspondingly, high data density, precision, and convenience, we proposed a simple and efficient spatial large deflection measurement system for wind turbine blades with multi lidars. For point clouds collected from lidar scanners, registration based on point primitives and geometric primitives, dynamic radius DBSCAN clustering, spatial line clustering, and line integrals are applied to calculate the 3D coordinates of measured points on the blade. Experimentally validated, the proposed method demonstrates its effectiveness in serving as a viable alternative to the traditional pull-wire sensor measurement approach. In the minimum oscillation direction test, the measurement error is controlled within 3% compared to the theoretical value. Simultaneously, in the maximum swing direction test, the 3D coordinates of the measured point remain consistent with the changing trend observed under small deformation. These results confirm the feasibility of the system and its potentials to be generalized.

show abstract

“…Soga et al [33] conducted a study on applying a smart monitoring technique that enables permanent and global monitoring of geotechnical structures. Laser scanning monitoring is being conducted on infrastructures [16,[23][24][25]. Studies in which laser scanning is used as a monitoring technique at excavation sites have been conducted [13,35,36].…”

Section: Introductionmentioning

confidence: 99%

Displacement mapping of point clouds: application of retaining structures composed of sheet piles

Zhao

Seo

Chen

2021

J Civil Struct Health Monit

View full text Add to dashboard Cite

The measurement of displacement is an important factor to evaluate the stability of a retaining structure. In this paper, a large-scale retaining structure with a width of 70 m and a height of 6 m was monitored using 3-D laser scanning. Displacement mapping was proposed to globally monitor the entire retaining structure. The point cloud obtained immediately after the excavation was converted into the mesh, and the point clouds obtained on the second and seventh days after excavation were compared to the mesh using the Cloud to Mesh (C2M) comparison method. Since the C2M displacement can be underestimated in the inclined section of the sheet pile, after filtering using the azimuth and element angles automatically, only the flat sections of the sheet pile can be segmented from original point clouds collectively and consistently. The displacement mapping results identify not only the local behavior of the sheet pile, such as the bending point and the maximum displacement position, but also the global behavior, such as the expansion of the maximum displacement in the retaining structure. The results of the displacement mapping were confirmed through site investigation as well. In the displacement mapping result, the maximum displacement was found around rows 2 and 3 of the 37th sheet pile, and the analyzed result of the load cell installed on the anchor indicated that the anchor constructed in the 37th sheet pile shows the plastic behavior. It was established that other sheet piles are affected by the damage to the local anchor through the H-beam and the maximum displacement in the displacement mapping is expanded horizontally in a positive parabola shape. Therefore, it was confirmed that displacement mapping using laser scanning can complement existing monitoring techniques and can contribute to evaluating the behavior of a large-scale retaining structure during excavation.

show abstract

A novel static deformation measurement and visualization method for wind turbine blades using home-made LiDAR and processing program

Cited by 11 publications

References 14 publications

System for 3D mapping using affordable LIDAR

System for 3D mapping using affordable LIDAR

Lidar-Based Spatial Large Deflection Measurement System for Wind Turbine Blades

Displacement mapping of point clouds: application of retaining structures composed of sheet piles

Contact Info

Product

Resources

About