The production process of CGC includes raw material processing, granulation, and thermal processing. The CG was broken by a jaw crusher and milled by a ball mill. The raw …

The method and device thereof of coal gangue production line raw material aging are to enter blender in proportion according to weighing after gangue, shale raw material crush qualification and added water and stirred, be then sent into aging bunker ageing through belt, the temperature t of added water is 85≤t≤95 °C.The blender of the device of this …

Zhang et al. 29 makes the thermal infrared images of coal and gangue more significant through the intervention of different liquids. ... and f k is the frequency value of …

The recognition of coal and gangue is the premise and foundation of coal gangue intelligent sorting. Adaptive boosting (AdaBoost) algorithm-based coal gangue identification has not been studied in depth. This paper proposed a coal gangue image recognition algorithm and a strong classifier based on the AdaBoost algorithm with a …

The invention relates to a method and an apparatus for ageing raw materials for coal gangue production line. The method comprises the steps of smashing raw materials of coal gangue and shale to meet qualification, loading the smashed raw materials into a stirrer according to a weight proportion, adding water for stirring, and then sending to an …

ABSTRACT The separation of coal and gangue is an important aspect of coal production, which can improve coal quality, save energy, reduce consumption, and enable the rational use of resources. At present, manual selection remains widely implemented, but the working environment is harsh, labour intensity is high, and …

The precise identification of damp, sticky coal gangue; efficient jet nozzle separation; and process layout in a narrow, restricted space are essential technologies …

A cascade network [26] was proposed for online detection of coal and gangue in the production environment, which combining traditional computer vision and deep learning methods for improving the ...

Browse Getty Images' premium collection of high-quality, authentic Production Line stock photos, royalty-free images, and pictures. Production Line stock photos are available …

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The primary chemical constituents of coal gangue powder are SiO 2, Al 2 O 3 and similar mineral oxides, and its primary mineralogical phases are feldspar, quartz and similar silicates [14]. Coal gangue powder can be used to generate electricity, used to produce cement materials and glass-ceramics and used to backfill mines [15], [16], [17].

Gangue is a common solid waste in the process of geological mineral mining.5,6 In the actual coal production process, coal and gangue coexist symbiotically. With the support and encouragement of relevant policies and mechanisms, there are more and more ways of comprehensive utilization of coal gangue, such as recycling useful …

The five different illuminance involved in this experiment were 3790, 11,310, 17,130, 23,500 and 31,070 Lux, respectively. A total of 1800 coal and gangue images after graying were obtained in the ...

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The results show that the recognition accuracy of the model for coal gangue images is 92.2% and 91.5%, respectively, with gray skewness and texture contrast as …

A coal gangue identification method based on YOLOv4-tiny and deployed on the low-power hardware platform FPGA, in which three optimization methods, including input and output channel parallelism, pipeline, and ping-pong operation, are used. Nowadays, most of the deep learning coal gangue identification methods need to be performed on …

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Nowadays, upcycling coal gangue into aggregates has become a popular method; nevertheless, the utilization of coal gangue fines (CGFs), a secondary waste generated during the production of coal gangue aggregates, is rarely concerned. This paper attempted to upcycle calcined CGFs at 800 °C as the partial substitution of slag to …

W.Wang and C.Zhang [33] present a new method to separate gangue from coal based on density calculated from volume using three-dimensional (3D) laser scanning technology based on the laser ...

The algorithm was then applied to segment adjoining coal-gangue images. The results indicate that the segmentation of the overlapping images can be successfully achieved. In addition, the calculation time of this algorithm is shorter than 3.06 ms, which can meet the required time industrially. ... In this work, the production line is equipped ...

This study achieves the classification of coal and gangue based on their mass, volume, and weight. A dataset of volume, weight and 3_side images is collected. …

The analysis of coal and gangue characteristics throughout the development of separation systems leads to different work implementation directions, some separation systems perform image geometric ...

To address the limitations of traditional methods, researchers have explored image processing methods, such as support vector machine methods, to identify gangue …

In contrast, that value in the largest coal gangue production country, namely China, is only about 60–70%, while the coal gangue utilization of China through.

A typical underground coal-mining production line transports mixed coals and. ... and 245 gangue images in Dataset1_train will be able to yield 4320 training images for the.

Nowadays, upcycling coal gangue into aggregates has become a popular method; nevertheless, the utilization of coal gangue fines (CGFs), a secondary waste generated during the production of coal gangue aggregates, is rarely concerned. This paper attempted to upcycle calcined CGFs at 800 °C as the partial substitution of slag to …

coal gangue coal gangue sorting production line Prior art date Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.) Pending Application number CN202110439791.8A Other languages Chinese (zh ...

Abstract In response to the multiscale shape of coal and gangue in actual production conditions, existing coal separation methods are inefficient in recognizing …

gangue images under actual working conditions. Thus, image processing technology is needed to artificially enhance images by adding feature information to them [13]. To this end, Wu Guoping [14] applied image preprocessing on a collection of coal and gangue images utilizing image processing and deep learning technology before feeding …

The estimation of gangue content based on image analysis is an essential part of the intelligent production of top coal caving. Image segmentation is a very important step before the image analysis.