<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The optimization of mine safety and management methods is critical in the context of big data. This study will explore improving mine safety and management efficiency by utilizing CPS. A mine data interaction mechanism is constructed using CPS technology to realize efficient data collection and processing. The study profoundly explores the data interaction of end devices and the value model of computing resources by analyzing the mine CPS perceptual execution layer. The results show that CPS technology can significantly improve the efficiency of mine safety management. For example, the introduced CRV incentive mechanism significantly improves the utilization efficiency of computing resources. In addition, this study also explores the scheduling strategy of computing resources under multi-objective constraints and the implementation of mine scheduling based on the MOCA-PSO algorithm, which effectively optimizes resource allocation and utilization. The conclusion shows that applying big data technology and CPS can effectively improve mine safety and management, which is of great significance in guiding the future development of the mining industry.</p>
</abstract>

The optimization of mine safety and management methods is critical in the context of big data. This study will explore improving mine safety and management efficiency by utilizing CPS. A mine data interaction mechanism is constructed using CPS technology to realize efficient data collection and processing. The study profoundly explores the data interaction of end devices and the value model of computing resources by analyzing the mine CPS perceptual execution layer. The results show that CPS technology can significantly improve the efficiency of mine safety management. For example, the introduced CRV incentive mechanism significantly improves the utilization efficiency of computing resources. In addition, this study also explores the scheduling strategy of computing resources under multi-objective constraints and the implementation of mine scheduling based on the MOCA-PSO algorithm, which effectively optimizes resource allocation and utilization. The conclusion shows that applying big data technology and CPS can effectively improve mine safety and management, which is of great significance in guiding the future development of the mining industry.

Analysis and Research on Mine Safety and Management Methods in the Context of Big Data

Dongbei University of Finance and Economics

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The optimization of mine safety and management methods is critical in the context of big data. This study will explore improving mine safety and management...

Analysis and Research on Mine Safety and Management Methods in the Context of Big Data

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 12. Jan. 2024

Akzeptiert: 18. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0524

Schlüsselwörter
Big data, Mine safety, Interaction mechanism, CPS

© 2024 Jie Xu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis and Research on Mine Safety and Management Methods in the Context of Big Data

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 12. Jan. 2024

Akzeptiert: 18. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0524

SchlüsselwörterBig data, Mine safety, Interaction mechanism, CPS

© 2024 Jie Xu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Big data, Mine safety, Interaction mechanism, CPS