Applications of machine vision in coal mine fully mechanized tunneling faces: a review

Y Du, H Zhang, L Liang, J Zhang, B Song - IEEE Access, 2023 - ieeexplore.ieee.org
The realization of intelligent mining is the only method for realizing high-quality development
in the coal industry. As the forefront working link in mine production, achieving automatic …

Classification of rock fragments produced by tunnel boring machine using convolutional neural networks

Z Yang, B He, Y Liu, D Wang, G Zhu - Automation in Construction, 2021 - Elsevier
Rock fragmentation in tunnel boring machine (TBM) construction is an important indicator of
tunnelling state. Large fragments often correspond to an unhealthy tunnelling state and may …

Effect of high-speed shear flocculation on the flotation kinetics of ultrafine microcrystalline graphite

C Ni, Q Zhang, M **, G **e, Y Peng, H Yu, X Bu - Powder Technology, 2022 - Elsevier
A novel process combining high-speed shear flocculation and flotation (SFF) was proposed
to beneficiate ultrafine microcrystalline graphite (MG). The effect of high-speed shear …

Estimation of particle size distribution on an industrial conveyor belt using image analysis and neural networks

E Hamzeloo, M Massinaei, N Mehrshad - Powder technology, 2014 - Elsevier
Monitoring and controlling particle size distribution in crushing and grinding circuits are
essential for improved energy efficiency and metallurgical performance. Machine vision is …

Ore grade estimation by feature selection and voting using boundary detection in digital image analysis

CA Perez, PA Estévez, PA Vera, LE Castillo… - International Journal of …, 2011 - Elsevier
In mining, rock classification plays a crucial role at different stages of the extraction process
ranging from the design of the mine to mineral grading and plant control. In this paper we …

Determining the fragmented rock size distribution using textural feature extraction of images

H Yaghoobi, H Mansouri, MAE Farsangi… - Powder technology, 2019 - Elsevier
Fragmented rock size distribution is one of the most important parameters in open pit
blasting that can affect the mining and the mineral processing efficiency. For evaluating …

Fusion-based color and depth image segmentation method for rocks on conveyor belt

B Lu, J Zhou, Q Wang, G Zou, J Yang - Minerals Engineering, 2023 - Elsevier
Semi-autogenous mill (SAG) feeding process requires accurate and reliable monitoring and
controlling techniques for multi-sized rock distribution to stabilize crushing productivity. This …

[HTML][HTML] Online particle size analysis on conveyor belts with dense convolutional neural networks

Y Fu, C Aldrich - Minerals Engineering, 2023 - Elsevier
Particle size distributions in ore feed systems, as well as the identification of particles in
these feed systems can provide important information in the advanced control of unit …

Development of machine vision-based ore classification model using support vector machine (SVM) algorithm

AK Patel, S Chatterjee, AK Gorai - Arabian Journal of Geosciences, 2017 - Springer
The product of the mining industry (ore) is considered to be the raw material for the metal
industry. The destination policy of the raw materials of iron mine is highly dependent on the …

Measurement of bulk material flow based on laser scanning technology for the energy efficiency improvement of belt conveyors

F Zeng, Q Wu, X Chu, Z Yue - Measurement, 2015 - Elsevier
Bulk material flow is the key variable of speed control technology and is responsible for the
improving energy efficiency in belt conveyors. This paper presents the design and …