Review on the Influence of Complex Stratum on the Drilling Trajectory of the Drilling Robot

Kang, Mingxia; Hua, Dezheng; Guo, Xiaoqiang

doi:10.3390/app13042532

Cited by 6 publications

(3 citation statements)

References 38 publications

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“…Direct contact monitoring methods include the drilling cuttings method, borehole stress measurement method, roof dynamic method, mine pressure observation method, support load method, surrounding rock deformation measurement method, etc. (Kang et al 2023;Qin et al 2018;Tian et al 2014). It mainly monitors the deformation and stress of surrounding rock before a rockburst occurs.…”

Section: Monitoring Of Coal Bumpmentioning

confidence: 99%

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Occurrence mechanism and prevention technology of rockburst, coal bump and mine earthquake in deep mining

Du,

Bi,

Khandelwal

et al. 2024

Geomech. Geophys. Geo-energ. Geo-resour.

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Rockburst, coal bump, and mine earthquake are the most important dynamic disaster phenomena in deep mining. This paper summarizes the differences and connections between rockburst, coal bumps and mine earthquakes in terms of definition, mechanism, phenomenon, evaluation index, etc. The definition and evolution progress of the three disaster categories are summarized, as well as the monitoring, early warning, and prevention measures are also presented. Firstly, by combining theoretical research with specific technologies and engineering field cases, the main categories and failure mechanisms of rockburst, coal bumps and mine earthquakes are introduced. Then, the evaluation indexes of coal bump and mine earthquake are summarized, and a new evaluation index of rockburst is given. Finally, the characteristics of monitoring, early warning technologies and prevention methods of rockburst, coal bumps, and mine earthquakes are discussed in technology and application. At last, the future directions of rockburst, coal bump and mine earthquake are put forward.

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Section: Monitoring Of Coal Bumpmentioning

confidence: 99%

“…Fig. 21 Monitoring methods and early warning system of coal bump (Jiang et al 2017a, b;Kang et al 2023;Lu et al 2017;Qin et al 2018;Tian et al 2014;Whiteley et al 2019) Geomech. Geophys.…”

Section: Prevention and Control Of Rock Burst Coal Bump And Mine Eart...mentioning

confidence: 99%

Occurrence mechanism and prevention technology of rockburst, coal bump and mine earthquake in deep mining

Du,

Bi,

Khandelwal

et al. 2024

Geomech. Geophys. Geo-energ. Geo-resour.

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“…The coal mining industry is crucial for the national economy [1] but faces significant challenges [2], including water damage control [3]. Conventional underground drilling operations in coal mines heavily rely on manual labor, leading to high safety risks and low productivity [4].…”

Section: Introductionmentioning

confidence: 99%

Algorithm for Automatic Rod Feeding and Positioning Error Compensation for Underground Drilling Robots in Coal Mines

Lu,

Kong,

Peng

et al. 2023

Sensors

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In the pursuit of automating the entire underground drilling process in coal mines, the automatic rod feeding technology of drilling robots plays a crucial role. However, the current lack of positional accuracy in automatic rod feeding leads to frequent accidents. To address this issue, this paper presents an algorithm for compensating positioning errors in automatic rod feeding. The algorithm is based on a theoretical mathematical model and manual teaching methods. To enhance the positioning accuracy, we first calibrate the pull rope sensor to correct its measurement precision. Subsequently, we establish a theoretical mathematical model for rod feeding positions by employing spatial coordinate system transformations. We determine the target rod feeding position using a manual teaching-based approach. Furthermore, we analyze the relationship between the theoretical rod delivery position and the target rod delivery position and propose an anisotropic spatial difference compensation technique that considers both distance and direction. Finally, we validate the feasibility of our proposed algorithm through automatic rod feeding tests conducted on a coal mine underground drilling robot. The results demonstrate that our algorithm significantly improves the accuracy of rod feeding positions for coal mine underground drilling robots.

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Transfer Learning with Transformer-Based Models for Mine Water Inrush Prediction: A Multivariate Analysis Using Sparse and Imbalanced Monitoring Data

Yin,

Zhang,

et al. 2024

Mine Water Environ

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Review on the Influence of Complex Stratum on the Drilling Trajectory of the Drilling Robot

Cited by 6 publications

References 38 publications

Occurrence mechanism and prevention technology of rockburst, coal bump and mine earthquake in deep mining

Occurrence mechanism and prevention technology of rockburst, coal bump and mine earthquake in deep mining

Algorithm for Automatic Rod Feeding and Positioning Error Compensation for Underground Drilling Robots in Coal Mines

Transfer Learning with Transformer-Based Models for Mine Water Inrush Prediction: A Multivariate Analysis Using Sparse and Imbalanced Monitoring Data

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