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Scientific Reports, 2022 Using image recognition technology to realize coal gangue recognition is one of the development directions of intelligent fully mechanized caving mining.
Lei Zhang +4 more
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Experimental platform for coal gangue sorting robot based on image detection
Gong-kuang zidonghua, 2023 Currently, coal gangue pre-sorting is still mostly done manually, with high labor intensity, low sorting efficiency, and safety hazards. Using coal gangue sorting robots to replace manual coal gangue pre-sorting is an effective way to ensure the health ...
LI Sanxi +4 more
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Target Recognition of Coal and Gangue Based on Improved YOLOv5s and Spectral Technology
Sensors, 2023 Aiming at the problems of long detection time and low detection accuracy in the existing coal gangue recognition, this paper proposes a method to collect the multispectral images of coal gangue using spectral technology and match with the improved YOLOv5s (You Only Look Once Version-5s) neural network model to apply it to coal gangue target recognition
Pengcheng Yan +5 more
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Coal gangue recognition based on spectral imaging combined with XGBoost.
PLoS ONE, 2023 The identification of coal gangue is of great significance for its intelligent separation. To overcome the interference of visible light, we propose coal gangue recognition based on multispectral imaging and Extreme Gradient Boosting (XGBoost).
Minghao Zhou, Wenhao Lai
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Aggregation enhanced coal-gangue video recognition model based on long and short-term storage
Gong-kuang zidonghua, 2023 Some key targets will be missed when using coal-gangue image recognition technology to recognize coal-gangue. Compared with the image target recognition model, the video target recognition model is closer to the requirements of the coal-gangue ...
YANG Jun
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Spectral Estimation Model Construction of Heavy Metals in Mining Reclamation Areas [PDF]
, 2016 The study reported here examined, as the research subject, surface soils in the Liuxin mining area of Xuzhou, and explored the heavy metal content and spectral data by establishing quantitative models with Multivariable Linear Regression (MLR ...
Dai, W, Dong, J, Li, S, Xu, J
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Research and application of key technology of intelligent coal caving in high gas fully-mechanized top coal caving face [PDF]
, 2023 At present, intelligent coal caving in high gas fully mechanized top coal caving face is facing many problems, mainly including poor recognition accuracy of coal gangue, incomplete control research on coal flow and gas concentration, cumbersome design ...
Jinghong WU +3 more
core +1 more source
IEEE Access, 2020 In order to clearly grasp the influence rules of the coal gangue volume mixture ratio on the system contact response, and finally realize the coal gangue mixing ratio recognition according to the contact response differences, on the basis of the Hertz ...
Yang Yang +3 more
doaj +1 more source
Radiation characteristics of natural gamma-ray from coal and gangue for recognition in top coal caving [PDF]
Scientific Reports, 2018 AbstractRecognition of coal and gangue (roof rock) is a key technology to realize fully mechanized top coal caving automated mining. This paper proposes to detect the instantaneous refuse content of drawn coal and gangue mixture during top coal caving by using natural gamma-ray technology.
Zhang, Ningbo, Liu, Changyou
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Automatic separation method of coal and gangue based on wavelet transform
Gong-kuang zidonghua, 2018 In view of the problems of low recognition accuracy, multiple extraction parameters and low real-time processing efficiency of existing coal gangue recognition and separation methods based on image processing, an automatic separation method of coal ...
CHEN Li +4 more
doaj +1 more source