Feeder performance: measurement and analysis using machine vision
The technology for extracting and discharging coal from an underroof seam uses the so-called gravitational extraction method in which coal is extracted and discharged from under the roof by gravity. In this process, coal can be discharged onto the main conveyor (face conveyor, located in the supported area), central conveyor (rear conveyor in Western literature), and tail conveyor (discharge conveyor, located in the unsupported area). As part of the research, a method was developed to measure the performance of a motorised plate feeder that supplies coal from the outlet port of a roof support to a conveyor during extraction of thick seams, with discharge onto a face conveyor. Volume measurement algorithms using machine vision technology were tested. Laboratory studies were carried out to estimate the relative errors of the methods.
For more information, see the article in the journal "Mining Science and Technology" (Russia):
Nikitenko M. S., Kizilov S. A., Zakharov Yu. N. et al. Measurement of feeder performance during coal discharge from an underroof seam using machine vision. Mining Science and Technology (Russia). 2022;7(4):264–273. https://doi.org/10.17073/2500-0632-2022-09-22
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#inenglish #MST #machinevision #AI
The technology for extracting and discharging coal from an underroof seam uses the so-called gravitational extraction method in which coal is extracted and discharged from under the roof by gravity. In this process, coal can be discharged onto the main conveyor (face conveyor, located in the supported area), central conveyor (rear conveyor in Western literature), and tail conveyor (discharge conveyor, located in the unsupported area). As part of the research, a method was developed to measure the performance of a motorised plate feeder that supplies coal from the outlet port of a roof support to a conveyor during extraction of thick seams, with discharge onto a face conveyor. Volume measurement algorithms using machine vision technology were tested. Laboratory studies were carried out to estimate the relative errors of the methods.
For more information, see the article in the journal "Mining Science and Technology" (Russia):
Nikitenko M. S., Kizilov S. A., Zakharov Yu. N. et al. Measurement of feeder performance during coal discharge from an underroof seam using machine vision. Mining Science and Technology (Russia). 2022;7(4):264–273. https://doi.org/10.17073/2500-0632-2022-09-22
Subscribe to the journal's Telegram channel:
👉t.iss.one/MinSciTech👈
#inenglish #MST #machinevision #AI
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