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Manual gangue sorting efficiency
Intelligent Sorting System of Coal Gangue with Machine Vision
2018826 The automatic sorting of coal gangues can be realized by the machine vision based on sorting technology and the mechanical arms. As a result, the production
Visual classification method based on CNN for coal-gangue sorting
At present, the sorting of coal and gangue is still mainly manual, but the manual sorting efficiency is low and labor intensity is high, so it is particularly important to develop a coal
Lightweight Target Detection for Coal and Gangue
202341 Therefore, accurately sorting coal and gangue is essential for efficiently utilizing coal energy. The traditional methods of sorting coal and gangue are mainly manual gangue sorting, heavy media gangue
(PDF) An Online Flexible Sorting Model for Coal and Gangue
2021620 To solve the problem of difficult to sort coal and gangue quickly and accurately caused by the fast running speed of belt, the different shapes and sizes of
A fast recognition method for coal gangue image processing
2023524 Traditional coal gangue sorting techniques include manual sorting, selective crushing, ray sorting, flotation method [16, 28] and other methods. However,
Coal gangue detection and recognition algorithm based on
202198 The test results validate the efficacy of the DCN-YOLOv3 coal gangue detection and recognition algorithm, which improves the detection and recognition
Sensors Free Full-Text Coal and Gangue Separating Robot
2021214 Manual separating is widely used because it can be applied to every link of the sorting process, not only to identify but also to separate coal and gangue; although
Symmetry Free Full-Text A Coal Gangue
2023110 Traditional manual identification work is intense, and coal gangue sorting efficiency is low . Mechanical vibration identification is mainly through coal and coal gangue particles and metal plate collision vibration
An Online Flexible Sorting Model for Coal and Gangue
2023926 To solve the problem of difficult to sort coal and gangue quickly and accurately caused by the fast running speed of belt, the different shapes and sizes of
Research on intelligent optimization separation technology
202271 The results show that the sorting effect is the best under the comprehensive characteristics. Compared with other models, the fitness function value of BASAA-NP
Integration of X-ray radiography and automated
202281 The recovery of ore and gangue are typically considered when evaluating, if ore sorting would be beneficial for a processing flowsheet. This simple consideration can be extended here by using the SEM-MLA data to constrain the quantitative mineralogy of concentrate and waste streams with five different targeted scheelite recovery classes (60
Coal Gangue Data Set Expansion Method Based on DCGAN
2022116 Coal gangue separation is one of the important links in the process of coal mining. High gangue content will lead to low combustion efficiency of power plants and serious environmental pollution. Through field investigation and investigation, it is found that at present, most mines still use manual gangue separation. The dust in the coal
Visual classification method based on CNN for coal-gangue sorting
Abstract: Sorting coal and gangue is an important means to improve the heating capacity of coal, realize the graded sale of coal and maximize the production benefits of coal mines. At present, the sorting of coal and gangue is still mainly manual, but the manual sorting efficiency is low and labor intensity is high, so it is particularly important to develop a coal
Coal Gangue Data Set Expansion Method Based on DCGAN
Coal gangue separation is one of the important links in the process of coal mining. High gangue content will lead to low combustion efficiency of power plants and serious environmental pollution. Through field investigation and investigation, it is found that at present, most mines still use manual gangue separation. The dust in the coal preparation
Coal gangue detection and recognition algorithm based on
202198 Traditional manual gangue selection is performed in harsh working environments, and its efficiency is low; mechanical gangue selection, such as screen jigging, heavy medium and flotation, can easily cause air pollution, water pollution, land pollution and other problems which bring great harm to the environment and human health.
A synchronous detection-segmentation method for oversized gangue
202291 Online identification and sorting for coal and gangue has always been a hot issue in the field of coal processing intelligence. Existing research has focused on materials with particle sizes below 300 mm, and its front-end algorithms are dedicated to achieving image classification or object detection.
An adaptive focused target feature fusion network for
2023311 As the key technology of coal-gangue sorting robots, coal-gangue online detection using image detection technologies is of great significance in the field of coal preparation and has been the research priority. Manual gangue separating requires excessive labor, which can cause health hazards to workers, low efficiency and other
Symmetry Free Full-Text A Coal Gangue Identification
2023110 There are many ways to identify coal and gangue. Traditional manual identification work is intense, and coal gangue sorting efficiency is low . Mechanical vibration identification is mainly through coal and coal gangue particles and metal plate collision vibration signal recognition, but this method will reduce the quality of coal [10,11].
Sensors Free Full-Text Target Recognition of Coal and Gangue
2023519 Coal and gangue sorting plays an important role in improving the quality of raw coal and avoiding the harm of gangue incineration on the environment . Traditional methods for identifying coal gangue include manual selection [ 7 ], heavy medium method [ 8 ], wet coal selection [ 9 ], ray identification method [ 10,11 ], hardness identification
(PDF) An Online Flexible Sorting Model for Coal and Gangue
2021620 To solve the problem of difficult to sort coal and gangue quickly and accurately caused by the fast running speed of belt, the different shapes and sizes of gangue and so on, an online flexible
Coal and Gangue Separating Robot System Based on
Manual separating is widely used because it can be applied to every link of the sorting process, not only to identify but also to separate coal and gangue; although workers continue to perform mechanical repetitive work on the production line, the sorting efficiency does not even reach 50%, because there are many missed and wrong sorts.
A Swin transformer-functionalized lightweight YOLOv5s for
2023424 Coals will still constitute the master energy source in long future. Regrettably, the gangue in coals can whittle down the coal’s combustion efficiency and induce nocuous gases for environmental contamination [].It is indispensable to divorce gangue from raw coals for an eco-benign and efficient utilization of coals [].In this
Coal gangue detection and recognition algorithm based on deformable
202198 Traditional manual gangue selection is performed in harsh working environments, and its efficiency is low; mechanical gangue selection, such as screen jigging, heavy medium and flotation, can easily cause air pollution, water pollution, land pollution and other problems which bring great harm to the environment and human health.
Recognition and sorting of coal and gangue based on image
Moreover, a deep learning model called multilayer perceptron (MLP) was proposed to recognize coal and gangue with simple structure, which is easy to transplant with high precision and great timeliness. In order to evaluate the correctness and efficiency of the algorithm, a sorting robot of coal and gangue was built based on MLP and image
Application of screening using a flip-flow screen and shallow
20201221 The traditional methods of sorting coal and gangue are mainly manual gangue sorting, heavy media gangue sorting [5 High efficiency dry screening is a key problem to be solved urgently for the
Lightweight Target Detection for Coal and Gangue Based on
202341 The traditional methods of sorting coal and gangue are mainly manual gangue sorting, This method improves the detection accuracy and efficiency of small-size coal and gangue. DWC and GSC modules are introduced into the model to reduce the complexity of the improved multiscale network. Compared with the original network, the
Visual classification method based on CNN for coalgangue
Sorting coal and gangue is an important means to improve the heating capacity of coal, realize the graded sale of coal and maximize the production benefits of coal mines. At present, the sorting of coal and gangue is still mainly manual, but the manual sorting efficiency is low and labor intensity is high, so it is particularly important to develop a coal
Lightweight Target Detection for Coal and Gangue Based on
202341 The traditional methods of sorting coal and gangue are mainly manual gangue sorting, This method improves the detection accuracy and efficiency of small-size coal and gangue. DWC and GSC modules are introduced into the model to reduce the complexity of the improved multiscale network. Compared with the original network, the
An Online Flexible Sorting Model for Coal and Gangue
2023926 The manual sorting method is gradually eliminated because of its poor working environment and low efficiency. Mechanical washing mainly includes the heavy of the belt speed and sorting
1,2, Jie Chen 1,2,*, Wei 2, Sensen Chen 2 and Zeye
2023110 There are many ways to identify coal and gangue. Traditional manual identification work is intense, and coal gangue sorting efficiency is low [9]. Mechanical vibration iden-tification is mainly through coal and coal gangue particles and metal plate collision vibra-tion signal recognition, but this method will reduce the quality of coal [10,11].