Detection of hidden mining-induced ground fissures via unmanned aerial vehicle infrared system and ground-penetrating radar

Zhao, Yixin; Ling, Chunwei; Zhang, Kangning; Gao, Yirui; Sun, Bo; Wang, Xiaoliang

doi:10.1016/j.ijrmms.2022.105254

Cited by 11 publications

(5 citation statements)

References 36 publications

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“…As the coal field resources in the middle and east of China is depleting, the coal production proportion of northwestern coal mines grows significantly, among which Shendong coalfield is the most prominent. The underground coal mining in Shendong coalfield typifies high-intensity (annual production over 30 million tons for a single coal mine), relatively shallow burial depth (150–450 m), large mining height (up to 8.8 m) and multiple coal seam mining 1 – 3 , which commensurably lead to remarkably different overlying strata movement and structural characteristics from previous studies 4 – 6 .…”

Section: Introductionmentioning

confidence: 86%

On strata damage and stress disturbance induced by coal mining based on physical similarity simulation experiments

Yang,

Li,

Wang

et al. 2023

Sci Rep

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Extensive studies have been conducted on the movement of overlying strata when a single coal seam is mined. However, structural characteristics and associated stress field variation of the overlying strata over multiple coal seam mining remain unclear. Here we performed physical modelling experiments analogous to No. 42108 working face of Buertai coal mine, Shendong coalfield, where No. 22 coal seam (2.9 m thickness) was mined first, preceding No. 42 upper coal seam (6.1 m thickness) with an inter-coal-seam distance of 72.8 m. We employed DIC (digital image correlation) measurement and systematically-laid pressure cells to visualize the overlying strata movement and monitor stress field variations over multiple coal seam mining. We found that the stress of the inter-coal-seam strata increased significantly in the late mining stage of No. 22 coal seam due to the strata collapse, and culminated after compaction of the caved blocks. The inter-coal-seam strata stress gradually decreased over mining of No. 42 upper coal seam and arrived at zero after the inter-coal-seam strata collapsed. The mining of No. 42 upper coal seam aggravated the roof settlement of No. 22 coal seam; and the floor stress was noticeably lower than that of No. 22 coal seam due to the pressure-relief caused by the former mining activity. Our physical modelling findings advanced our understanding on structural characteristics and stress evolutions of overlying strata over multiple coal seam mining and offered guidance for prediction and mitigation of strata movement associated disasters in underground coal mining with geomechanical and mining conditions similar to those of Buertai coal mine.

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Section: Introductionmentioning

confidence: 86%

On strata damage and stress disturbance induced by coal mining based on physical similarity simulation experiments

Yang,

Li,

Wang

et al. 2023

Sci Rep

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“…The probe has a tracking wheel, which stores the linear coordinates of each B-scan taken. The ground-penetrating radar is an overall versatile tool to document the underground cavities, which finds usage in archaeology [48], geology mapping [49], urban planning [50], diagnostics in the civil engineering [51], or scanning subsurface of different planets [52]. In civil engineering, the most common usage is to localize and characterize re-bars for the purpose of core bore specimens or probes on the bridge bodies [53].…”

Section: Ground-penetrating Radarmentioning

confidence: 99%

Non-Destructive Characterization of Cured-in-Place Pipe Defects

Dvořák,

Jakubka,

Topolář

et al. 2023

Materials

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Sewage and water networks are crucial infrastructures of modern urban society. The uninterrupted functionality of these networks is paramount, necessitating regular maintenance and rehabilitation. In densely populated urban areas, trenchless methods, particularly those employing cured-in-place pipe technology, have emerged as the most cost-efficient approach for network rehabilitation. Common diagnostic methods for assessing pipe conditions, whether original or retrofitted with-cured-in-place pipes, typically include camera examination or laser scans, and are limited in material characterization. This study introduces three innovative methods for characterizing critical aspects of pipe conditions. The impact-echo method, ground-penetrating radar, and impedance spectroscopy address the challenges posed by polymer liners and offer enhanced accuracy in defect detection. These methods enable the characterization of delamination, identification of caverns behind cured-in-place pipes, and evaluation of overall pipe health. A machine learning algorithm using deep learning on images acquired from impact-echo signals using continuous wavelet transformation is presented to characterize defects. The aim is to compare traditional machine learning and deep learning methods to characterize selected pipe defects. The measurement conducted with ground-penetrating radar is depicted, employing a heuristic algorithm to estimate caverns behind the tested polymer composites. This study also presents results obtained through impedance spectroscopy, employed to characterize the delamination of polymer liners caused by uneven curing. A comparative analysis of these methods is conducted, assessing the accuracy by comparing the known positions of defects with their predicted characteristics based on laboratory measurements.

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“…Although the above literature review demonstrates that the existing GPR data fusion methods have achieved some progress in improving GPR detection resolution and depth, the following limitations still exist [21][22][23][24]:…”

Section: Introductionmentioning

confidence: 99%

Multi-Frequency GPR Data Fusion through a Joint Sliding Window and Wavelet Transform-Weighting Method for Top-Coal Structure Detection

Guan,

Liu

2024

Applied Sciences

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Top-coal structure detection is an important basis for realizing effective mining in fully mechanized cave faces. However, the top-coal structure is very complex and often contains multi-layer gangues, which seriously influence the level of effective mining. For these reasons, this paper proposes a novel multi-frequency ground-penetrating radar (GPR) data-fusing method through a joint sliding window and wavelet transform weighting method to accurately detect the top-coal structure. It possesses the advantages of both high resolution and great detection depth, and it can also integrate multi-frequency GPR data into one composite profile to interpret the internal structure information of top coal in detail. The detection procedure is implemented following several steps: First of all, the multi-frequency GPR data are preprocessed and aligned through a band-pass filter and a zero offset elimination method to establish their spatial correspondences. Secondly, the proposed method is used to determine the time-varying weight values of each frequency GPR signal according to the wavelet energy proportion within the sliding window; also, the edge detection algorithm is introduced to improve the fusion efficiency of the wavelet transform so as to realize the effective fusion of the multi-frequency GPR data. Thirdly, a reflection intensity model of multi-frequency GPR signals traveling in the top-coal is established by using the stratified identification method, and then, the detailed top-coal structure can be inversely interpreted. Finally, the quantitative evaluation criteria, information entropy (IE), space–frequency (SF) and Laplacian gradient (LG), are used to evaluate the multi-frequency GPR data fusion’s effectiveness in laboratory and field environments. The experimental results show that, compared with the genetic, time-varying and wavelet transform fusion method, the fusion performance of the presented method possesses higher values in the IE, SF and LG evaluation criteria, and it also has both the merits of high resolution and great detection depth.

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Detection of hidden mining-induced ground fissures via unmanned aerial vehicle infrared system and ground-penetrating radar

Cited by 11 publications

References 36 publications

On strata damage and stress disturbance induced by coal mining based on physical similarity simulation experiments

On strata damage and stress disturbance induced by coal mining based on physical similarity simulation experiments

Non-Destructive Characterization of Cured-in-Place Pipe Defects

Multi-Frequency GPR Data Fusion through a Joint Sliding Window and Wavelet Transform-Weighting Method for Top-Coal Structure Detection

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