Optimization of blasting parameters and prediction of vibration effects in open pit mines based on deep neural networks

Bai, Ru; Zhang, Pengfei; Zhang, Zhiqiang; Sun, Xue; Fei, Honglu; Bao, Shijie; Hu, Gang; Li, Wenyan

doi:10.1016/j.aej.2023.02.043

Cited by 12 publications

(4 citation statements)

References 22 publications

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“…We have only included studies (including technical articles and excluding review-type articles) focused on both areas. Table 7 summarizes the methodologies and results of the applications [115][116][117][118][119][120][121][122][123][124][125][126][127].…”

Section: Recent Cps and Iot Applicationsmentioning

confidence: 99%

“…To ensure an up-to-date discussion, only works published in 2023 were included in Table 7. In general, existing works have tackled CPS and IoT applications using classification [115,[118][119][120][121][122][123][124]127], regression [125], and deep learning [118][119][120][121][122]126] approaches. More investigations can be conducted using clustering, transfer learning, and data generation algorithms.…”

Section: Recent Cps and Iot Applicationsmentioning

confidence: 99%

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A Survey of Internet of Things and Cyber-Physical Systems: Standards, Algorithms, Applications, Security, Challenges, and Future Directions

Chui¹,

Gupta

Liu³

et al. 2023

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The smart city vision has driven the rapid development and advancement of interconnected technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this paper, various aspects of IoT and CPS in recent years (from 2013 to May 2023) are surveyed. It first begins with industry standards which ensure cost-effective solutions and interoperability. With ever-growing big data, tremendous undiscovered knowledge can be mined to be transformed into useful applications. Machine learning algorithms are taking the lead to achieve various target applications with formulations such as classification, clustering, regression, prediction, and anomaly detection. Notably, attention has shifted from traditional machine learning algorithms to advanced algorithms, including deep learning, transfer learning, and data generation algorithms, to provide more accurate models. In recent years, there has been an increasing need for advanced security techniques and defense strategies to detect and prevent the IoT and CPS from being attacked. Research challenges and future directions are summarized. We hope that more researchers can conduct more studies on the IoT and on CPS.

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Section: Recent Cps and Iot Applicationsmentioning

confidence: 99%

Section: Recent Cps and Iot Applicationsmentioning

confidence: 99%

A Survey of Internet of Things and Cyber-Physical Systems: Standards, Algorithms, Applications, Security, Challenges, and Future Directions

Chui¹,

Gupta

Liu³

et al. 2023

Information

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show abstract

“…Substituting Equation (20) in Equation ( 3), the impact pressure acting on the wall of the axially and radially uncoupled charge is obtained from Equation (18). Equivalent uncoupling coefficient is obtained by combining Equations ( 16) and (20) as…”

Section: Calculation Of Wall Pressure and Uncoupling Factor For Light...mentioning

confidence: 99%

“…Kumar et al [17] studied minimizing vibration while drilling and obtaining the optimal operating condition to enhance drill performance. Based on the deep neural network research, analysis of the relationship between blasting parameters and rock fragmentation was established by Bai et al [18], and sensitivity analysis was performed on blasting parameters. Monjezi et al [19] provided a powerful technique to optimize the blast parameters in open pit blasting operations based on the genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Study of Large Uncoupling Coefficient Loading for Surface Blasting

Wang,

Zong

et al. 2023

Applied Sciences

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Smooth surface blasting control technology is aimed at blasting the rock body until it is left with a smooth surface and to protect it from damage; the current air spaced axial uncoupled charge and air spaced radial uncoupled continuous charge are effective charging structures for smooth surface blasting. Reserved air spacing can effectively reduce the blast wave and the peak pressure of the explosive gas, improving the quasi-static pressure of the explosive gas under the action of rock surface blasting with fracture seam quality. In order to ensure the effect of surface blasting, small-diameter light surface holes are more often used; with the development of drilling machinery, the use of large-diameter light blast holes with an oversized uncoupled coefficient of loading structure effectively improves the efficiency of the construction and at the same time achieves better blasting results. However, according to the bursting assumption of obtaining the theory of light surface blasting in the application of large uncoupling coefficient loading, light surface blasting has certain limitations. In this regard, the bursting theory explores the air spacing uncoupling charge in line with the multi-faceted exponential expansion of the critical uncoupling coefficient and is in accordance with the following: the requirements of light surface blasting and the field loading structure; the derivation of the quasi-static pressure on the wall of the gunhole under the action of large uncoupling, uncoupling coefficient, and the parameters of the spacing between the gunholes; the establishment of the axial uncoupling coefficient and the radial uncoupling coefficient-equivalent relationship between the uncoupling coefficient and the theoretical relationship between the selection of the spacing between the holes; the uncoupling coefficient and the selection of the theoretical relationship between the spacing between the holes. This study reveals the mechanism by which different parameters of surface blasting can achieve good results in engineering practices. A slope in Guizhou is an example of sample calculations and the application of two different charging structures applied to field loading, which have achieved good surface blasting results.

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Research on cumulative damage effects and safety criterion of surrounding rock in bench blasting of a large cross-section tunnel

Ji,

Yao,

Zhou

et al. 2024

Alexandria Engineering Journal

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Optimization of blasting parameters and prediction of vibration effects in open pit mines based on deep neural networks

Cited by 12 publications

References 22 publications

A Survey of Internet of Things and Cyber-Physical Systems: Standards, Algorithms, Applications, Security, Challenges, and Future Directions

A Survey of Internet of Things and Cyber-Physical Systems: Standards, Algorithms, Applications, Security, Challenges, and Future Directions

Theoretical Study of Large Uncoupling Coefficient Loading for Surface Blasting

Research on cumulative damage effects and safety criterion of surrounding rock in bench blasting of a large cross-section tunnel

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