Prediction of Mine Pressure Behavior in Working Face Based on Vector Basis

Zhou, Zhou; Ji, Ming; Sun, Zhongguang; Liu, Guannan; Wang, Chuhan; He, Wenjing; Zhao, Mengjiao

doi:10.3390/pr13061818

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Open AccessArticle

Prediction of Mine Pressure Behavior in Working Face Based on Vector Basis

by

Zhou Zhou

¹,

Ming Ji

¹,

Zhongguang Sun

^1,2

,

Guannan Liu

^3,*,

Chuhan Wang

⁴,

Wenjing He

⁵ and

Mengjiao Zhao

⁵

¹

School of Mines, China University of Mining and Technology, Xuzhou 221116, China

²

China Coal Technology and Engineering Group, Chongqing Research Institute, Chongqing 400039, China

³

State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China

⁴

School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

⁵

School of Materials Science and Physics, China University of Mining and Technology, Xuzhou 221116, China

^*

Author to whom correspondence should be addressed.

Processes 2025, 13(6), 1818; https://doi.org/10.3390/pr13061818

Submission received: 30 March 2025 / Revised: 31 May 2025 / Accepted: 6 June 2025 / Published: 8 June 2025

(This article belongs to the Special Issue Intelligent Prediction and Performance Optimization for Deep Underground Resource Excavation Process)

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Abstract

The vector-based method is a technique that analyzes and processes data by vectoring them. It represents data points as multidimensional vectors that can be calculated and compared in a high-dimensional space. This method has significant advantages in prediction, mainly in the ability to process high-dimensional data, the effect of capturing nonlinear relationships, and the high efficiency on large datasets. First, the vector-based method effectively handles high-dimensional data, is not limited by the data dimension, and is suitable for complex multivariate analysis. Second, it is able to capture the nonlinear relationships between the data and identify potential patterns and trends through computation and comparisons in a high-dimensional space. Finally, the high efficiency of vector-based methods on large datasets enables it to quickly process and analyze large amounts of data and improve the accuracy and reliability of prediction. These characteristics make the vector-based method particularly applicable in mine pressure appearance prediction, which can more accurately analyze ore pressure data, identify potential risks, and then improve the level of mine safety management.

Keywords: vector-based method; multi-dimensional vectors; mine pressure prediction; mine safety management

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MDPI and ACS Style

Zhou, Z.; Ji, M.; Sun, Z.; Liu, G.; Wang, C.; He, W.; Zhao, M. Prediction of Mine Pressure Behavior in Working Face Based on Vector Basis. Processes 2025, 13, 1818. https://doi.org/10.3390/pr13061818

AMA Style

Zhou Z, Ji M, Sun Z, Liu G, Wang C, He W, Zhao M. Prediction of Mine Pressure Behavior in Working Face Based on Vector Basis. Processes. 2025; 13(6):1818. https://doi.org/10.3390/pr13061818

Chicago/Turabian Style

Zhou, Zhou, Ming Ji, Zhongguang Sun, Guannan Liu, Chuhan Wang, Wenjing He, and Mengjiao Zhao. 2025. "Prediction of Mine Pressure Behavior in Working Face Based on Vector Basis" Processes 13, no. 6: 1818. https://doi.org/10.3390/pr13061818

APA Style

Zhou, Z., Ji, M., Sun, Z., Liu, G., Wang, C., He, W., & Zhao, M. (2025). Prediction of Mine Pressure Behavior in Working Face Based on Vector Basis. Processes, 13(6), 1818. https://doi.org/10.3390/pr13061818

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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