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基于RDGNet的煤矿中低噪声爆炸声的智能识别和石材预测

Gengxin Li1, Hua Ding1, Kai Wang1

  • 1School of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China.

Sensors (Basel, Switzerland)
|December 31, 2025
PubMed
概括

一个新的深度学习模型,RDGNet,准确地识别了煤矿中沉默的爆炸声音. 这项技术增强了实时监测岩石稳定性和采矿安全性的功能.

关键词:
在RDGNet的基础上.声学排放的声音排放.智能监控 智能监控是指智能监控.石质学预测预测的预测沉默的爆炸声音.多式模式深度学习道路周围的岩石破裂路径周围的岩石破裂.

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Quarrying of Stone

Quarrying is the process of extracting stone from a quarry, where specialized techniques are employed to remove large blocks of stone safely and efficiently. This process can involve controlled explosions or more precision-oriented methods such as cutting and drilling.
One common method involves using a diamond belt saw to cut large blocks from the quarry face. These blocks can be about 50 feet long and 12 feet high. After the initial vertical cut, drilling is performed at the base of the block.
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Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...