Monocular vision measurement technology applied in dynamic compaction ramming settlement monitoring

Gao, Qiaoyu; Jin, Yifei; Liu, Quan; Yan, Ping; Zhang, Hongyang; Li, Feiyu; Wang, Hao

doi:10.1016/j.measurement.2023.112941

Cited by 7 publications

(2 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper, binocular vision positioning technology is proposed to automatically locate the anchor drilling holes. Vision positioning methods can be categorized into monocular [7,8], binocular [9,10], and multiple camera approaches [11][12][13] based on the number of vision sensors employed. Binocular vision positioning utilizes a pair of visual sensors to capture a single scene from distinct angles.…”

Section: Introductionmentioning

confidence: 99%

Locating Anchor Drilling Holes Based on Binocular Vision in Coal Mine Roadways

Lei,

Zhang,

Dong

et al. 2023

Mathematics

View full text Add to dashboard Cite

The implementation of roof bolt support within a coal mine roadway has the capacity to bolster the stability of the encompassing rock strata and thereby mitigate the potential for accidents. To enhance the automation of support operations, this paper introduces a binocular vision positioning method for drilling holes, which relies on the adaptive adjustment of parameters. Through the establishment of a predictive model, the correlation between the radius of the target circular hole in the image and the shooting distance is ascertained. Based on the structural model of the anchor drilling robot and the related sensing data, the shooting distance range is defined. Exploiting the geometric constraints inherent to adjacent anchor holes, the precise identification of anchor holes is detected by a Hough transformer with an adaptive parameter-adjusted method. On this basis, the matching of the anchor hole contour is realized by using linear slope and geometric constraints, and the spatial coordinates of the anchor hole center in the camera coordinate system are determined based on the binocular vision positioning principle. The outcomes of the experiments reveal that the method attains a positioning accuracy of 95.2%, with an absolute error of around 1.52 mm. When compared with manual operation, this technique distinctly enhances drilling accuracy and augments support efficiency.

show abstract

Section: Introductionmentioning

confidence: 99%

Locating Anchor Drilling Holes Based on Binocular Vision in Coal Mine Roadways

Lei,

Zhang,

Dong

et al. 2023

Mathematics

View full text Add to dashboard Cite

show abstract

“…As a systematic engineering, the following parameters need to be considered in the design of dynamic compaction: the size of the hammer, the energy level of dynamic compaction, the spacing and arrangement of compaction points, the number of strikes, the standard of hammer retraction, the crater depth, the effective reinforcement depth, and the influence range of dynamic compaction. Since dynamic compaction involves complicated transient dynamic response issues, studies on dynamic compaction are mainly conducted by numerical simulations [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20], model tests [21][22][23], and field tests [24][25][26][27][28][29][30][31][32]. Numerical simulation methods adopted by scholars principally include the finite element method (FEM) [4][5][6][7][8][9][10][11], finite difference method (FDM) [12][13][14], discrete element method (DEM) [15,16], and coupling calculation of various numerical simulation methods [17]…”

Section: Introductionmentioning

confidence: 99%

Study on the Reinforcement Mechanism of High-Energy-Level Dynamic Compaction Based on FDM–DEM Coupling

et al. 2023

View full text Add to dashboard Cite

The high-energy-level dynamic compaction method is widely used in various foundation treatment projects, but its reinforcement mechanism still lags behind the practice. In view of this, a three-dimensional fluid–solid coupling dynamic analysis model was established on the basis of the FDM–DEM coupling method. The variation trends of crater depth, soil void ratio, vertical additional dynamic stress, and pore water pressure during the process of dynamic compaction were analyzed. The results indicate that the curvature of the crater depth fitting curve gradually decreases with the increase in strike times, tending to a stable value. The initial particle structure is altered by the huge dynamic stress induced by dynamic compaction. As strike times increase, the soil void ratio decreases gradually. The vertical additional dynamic stress is the fundamental reason resulting in foundation compaction. Precipitation preloading before dynamic compaction can improve the reinforcement effect of dynamic compaction, making up for the deficiency that the vertical additional dynamic stress attenuates rapidly along the depth direction. The simulated CPT results illustrate that the modulus of foundation soil can be increased by 3–5 times after dynamic compaction. The research results can provide important reference for similar projects.

show abstract