Khoshouei Mehrbod, Bagherpour Raheb, Yari Mojtaba
Department of Mining Engineering, Isfahan University of Technology, Isfahan, 8415683111, Iran.
Department of Mining Engineering, Faculty of Engineering, Malayer University, Malayer, Iran.
Sci Rep. 2024 Aug 26;14(1):19766. doi: 10.1038/s41598-024-70717-8.
Monitoring while drilling (MWD) is a crucial task in mining operations. Accurately measuring drill and rock-related operating parameters can significantly reduce the cost of drilling operations. This study explores the potential of monitoring drilling specific energy (SE) and optimizing drilling operations by processing vibroacoustic signals generated while drilling. For this purpose, 30 samples of different rocks, are used for drilling tests. During the drilling process, the acoustic and vibration signals are recorded and analyzed in the time, frequency, and time-frequency domains., and parameters related to the resulting spectra are extracted. After obtaining the vibroacoustic parameters for drilling, the relationship between them and the drilling SE was investigated. There is evidence that the progression of SE contributes to the magnitude of rock drilling vibroacoustic features, which could be employed to indicate energy conditions during drilling. Results obtained in this study have the potential to be used as the basis for an industrial monitoring system that can detect excessive energy consumption and advise the user of the end of the bit's useful life. This method can be an intelligent technique for measuring the behavior of real-time drilling operations based on the SE simply by installing vibroacoustic sensors on the drilling machines.
随钻监测（MWD）是采矿作业中的一项关键任务。准确测量与钻头和岩石相关的操作参数可显著降低钻探作业成本。本研究通过处理钻孔过程中产生的振动声学信号，探索监测钻孔比能（SE）和优化钻孔作业的潜力。为此，使用30个不同岩石样本进行钻孔试验。在钻孔过程中，对声学和振动信号进行时域、频域和时频域记录与分析，并提取与所得频谱相关的参数。获取钻孔的振动声学参数后，研究了它们与钻孔比能之间的关系。有证据表明，比能的变化会影响岩石钻孔振动声学特征的大小，可用于指示钻孔过程中的能量状况。本研究所得结果有可能作为工业监测系统的基础，该系统可检测过度能耗并告知用户钻头使用寿命的结束。这种方法可以成为一种智能技术，只需在钻机上安装振动声学传感器，就能基于比能测量实时钻孔作业的行为。
