Results 41 to 50 of about 609 (196)
Automatic Identification of Coal and Rock/Gangue Based on DenseNet and Gaussian Process
To improve the purity of coal and prevent damage to the coal mining machine, it is necessary to identify coal and rock in underground coal mines. At the same time, the mined coal needs to be purified to remove rock and gangue. These two procedures are manually operated by workers in most coal mines.
openaire +2 more sources
YOLOv4-Tiny-Based Coal Gangue Image Recognition and FPGA Implementation
Nowadays, most of the deep learning coal gangue identification methods need to be performed on high-performance CPU or GPU hardware devices, which are inconvenient to use in complex underground coal mine environments due to their high power consumption ...
Yourui Huang +7 more
core +1 more source
Research on cloud-edge-terminal collaborative intelligent control of coal shearer based on 5G communication [PDF]
The current shearer control system is difficult to deal with the complex working conditions of the underground working face. The realization of the intelligent height and speed regulation control of the shearer is faced with three major technical ...
Yao CUI, Zhuang YE
core +1 more source
To study the influence of the gangue content of coal gangue particles on the vibration signal of the tail beam under sliding condition, this paper combines three-dimensional(3D) laser scanning technology with the finite element method, establishes a ...
Lirong Wan +5 more
doaj +2 more sources
Vibration-acoustic response characteristics of hydraulic support tail beam under coal-gangue impact
Coal-gangue identification is a key technology for reducing the gangue content in raw coal during fully mechanized top-coal caving mining. Affected by the high dust concentration, low visibility, and limited operating space in underground working ...
YANG Yang +6 more
doaj +1 more source
Coal gangue detection and recognition algorithm based on deformable convolution YOLOv3
The intelligentisation of coal mines is the only approach to the high‐quality development of the coal industry. Detection, identification and sorting of coal gangue is an important part of the intelligentisation of coal mines.
De‐yong Li +3 more
doaj +1 more source
Wireless Sensing for Monitoring of Coal Gangue Mixing Based on PT Symmetry
The challenge in using fully mechanized caving mining technology for thick coal seam mining is monitoring the mixing ratio of coal gangue during the top coal caving process.
Haoyan Xi +8 more
doaj +1 more source
In response to the problem of strong mining pressure manifestation along the goaf roadway in a thick coal seam mining area, this study uses a new type of combined blasting roof cutting technology to effectively control the manifestation and deformation of mining pressure along the goaf roadway.
Xiaoding Xu +6 more
wiley +1 more source
Hydrogen‐based direct reduced iron (H‐DRI) melts differently from scrap and carbon‐bearing DRI. This work combines differential scanning calorimetry experiments, FactSage thermodynamics, and simple composition‐based regression to predict solidus, liquidus, heat capacity, and enthalpy for H‐DRI.
Ankur Agnihotri +3 more
wiley +1 more source
Design of vibration sensor for coal gangue identificatio
At present, there are a variety of coal gangue identification technologies in automatic top coal mining. Gamma ray is too expensive and harmful to human body. Infrared technology is affected by ambient temperature.
CAO Guanqiang +4 more
doaj +1 more source

