Uncertainty in underground mining operations: a bibliometric and systematic literature review analysis DOI
José Salinas, Jairo Jhonatan Marquina Araujo, Marco Antonio Cotrina-Teatino

и другие.

World Journal of Engineering, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 8, 2024

Purpose This study aims to provide a comprehensive review of the existing literature on uncertainty in underground mining operations, using bibliometric and systematic analysis covering period from 1975 2024. Design/methodology/approach To achieve this, following questions were addressed mixed-method approach involving bibliometrics, text content analysis: How has field research operations evolved? What are most prominent topics trends operations? possible directions for future Findings As result, networks 327 journal articles Scopus database created examined, main management; rock mechanics; operational optimization; stochastic systems. Finally, inclusive investigation its patterns can serve as basis real-time direction new tool improve activities by implementing advanced technology innovative practices optimizing efficiency. is fundamental identify unknown variables that impair planning, operation, safety economic viability mines. Originality/value 100% original because there no present operations.

Язык: Английский

Research on Data-Driven Prediction of Inrush Probability in Coal Mines Under the Mechanism of Feature Reconstruction in Information Interconnectivity DOI Open Access
Shuyuan Xu,

Peng Zhi-wen,

Qiushuang Zheng

и другие.

Water, Год журнала: 2025, Номер 17(6), С. 843 - 843

Опубликована: Март 14, 2025

As coal mining extends deeper, the complexities of groundwater systems and instability geological formations exacerbate challenges accurately investigating preventing water inrush incidents in mines. To tackle issues stemming from multifaceted causes such difficulties associated with data acquisition—coupled a limited sample size leading to prediction inaccuracies—this study introduces bicubic interpolation augmentation algorithm presents data-driven CNN-ResNet-RF model designed for effective expansion. The technique adeptly extracts correlational information evidence chain related events, thereby enriching training dataset. CNN facilitates extraction preliminary features augmented input variables through convolution pooling, which are subsequently concatenated raw derived ResNet. enriched reconstructed then inputted into Random Forest predict probability operations. Empirical validation reveals that coupled significantly enhances data, outperforming conventional predictive models. model’s efficacy is evidenced by RMSE 0.5946, MAE 0.4666, MAPE 0.38%, R2 0.9072. This method provides an accurate representation nonlinear dynamics mine inrushing—a process governed numerous factors characterized small dataset complex formation mechanism. Ultimately, it enables precise assessments high-risk areas, offering theoretical decision-making support proactive implementation targeted mitigation strategies.

Язык: Английский

Процитировано

0

Uncertainty in underground mining operations: a bibliometric and systematic literature review analysis DOI
José Salinas, Jairo Jhonatan Marquina Araujo, Marco Antonio Cotrina-Teatino

и другие.

World Journal of Engineering, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 8, 2024

Purpose This study aims to provide a comprehensive review of the existing literature on uncertainty in underground mining operations, using bibliometric and systematic analysis covering period from 1975 2024. Design/methodology/approach To achieve this, following questions were addressed mixed-method approach involving bibliometrics, text content analysis: How has field research operations evolved? What are most prominent topics trends operations? possible directions for future Findings As result, networks 327 journal articles Scopus database created examined, main management; rock mechanics; operational optimization; stochastic systems. Finally, inclusive investigation its patterns can serve as basis real-time direction new tool improve activities by implementing advanced technology innovative practices optimizing efficiency. is fundamental identify unknown variables that impair planning, operation, safety economic viability mines. Originality/value 100% original because there no present operations.

Язык: Английский

Процитировано

1