MINING PROCESSES OF DRILLING MACHINES. INFORMATION ABOUT THE TECHNOLOGICAL ALARM SYSTEM OF DRILLING MACHINES

Authors

  • Ravshanov Zavqiddin Yahyo o'g'li Assistant Teacher, Tashkent State Technical University named after Islam Karimov
  • Kulmuratova Aliya Janabay qizi Student of Nukus Mining Institute
  • Kengashboeva Indira Bahrom qizi Student of Nukus Mining Institute
  • Ikromjonova Ozoda Ikromjon qizi Student of Nukus Mining Institute
  • Amidullaeva Yulduz Berik qizi Student of Nukus Mining Institute

DOI:

https://doi.org/10.17605/OSF.IO/QAV8B

Keywords:

Audio–Video Recording, drilling rig; process monitoring; operational cycles

Abstract

The monitoring of drilling processes is a well-known topic in the mining industry. It is widely used for rock mass characterization, bit wear monitoring and drilling process assessment. However on-board monitoring systems used for this purpose are installed only on a limited number of machines, and breakdowns are possible. There is a need for a data acquisition system that can be used on different drilling rigs and for an automatic data analysis procedure. In this paper, we focused on the automatic detection of drilling cycles, presenting a simple yet reliable system to be universally installed on drilling rigs. The proposed solution covers hardware and software. It is based on the measurement of electric current and acoustic signals. The signal processing methods include threshold-based segmentation, a short-time envelope spectrum and a spectrum for the representation of results. The results of the research have been verified on a real drilling rig within the testing site of its manufacturer by comparing the results with the data of the on-board monitoring system installed on the machine. Novel aspects of our approach include the detection of the pre-boring stage, which has an intermediate amplitude that masks the real drilling cycles, and the use of the percussion instantaneous frequency, which is estimated by acoustic recordings.

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Published

2022-10-17

Issue

Section

Articles

How to Cite

MINING PROCESSES OF DRILLING MACHINES. INFORMATION ABOUT THE TECHNOLOGICAL ALARM SYSTEM OF DRILLING MACHINES. (2022). JournalNX - A Multidisciplinary Peer Reviewed Journal, 8(10), 130-138. https://doi.org/10.17605/OSF.IO/QAV8B