Industrialization has stimulated an increasing demand for coal resources. In this process, belt conveyors serve a crucial role in the coal industry [].However, belt conveyors are vulnerable to damages such as deviation, slipping, and tearing due to overload, lengthy transport distances, and foreign objects [].Realtime detection of large foreign objects on belt conveyors in coal mines and ...
WhatsApp: +86 18203695377Conveyor belt tear detection is a very important part of coal mine safety production. In this paper, a new method of detecting conveyor belt damage named audiovisual fusion (AVF) detection method is proposed. ... The fused features were sent to the machine learning model for training, and the trained model was used to identify the new tear ...
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WhatsApp: +86 18203695377Since the SEM uses an inverted logic (, coal detection occurs closer to 0 than 1), the logistic function in (6) serves as a complementary coal likelihood function: (6) L ¯ (w; c, a) = 1 1 + exp (− a (w − c)), a = log e (1 − ε) / ε min {c, 1 − c} Fixing ε at, SEM is left with only one free parameter c which represents the ...
WhatsApp: +86 18203695377This study is developed to explore the role of intelligent inspection robot in the protection and utilization of coal mine industrial heritage. Based on the actual situation of the coal mine, the underground planning protection scope is analyzed. Aiming at the problems of imperfect fire early warning detection technology, management mechanism, high labor cost and low work efficiency in ...
WhatsApp: +86 18203695377Chen et al. proposed an enhanced artificial bee colonybased support vector machine for imagebased fault detection of belt conveyor which obtained a detection accuracy of 95%. Recently, Liu et ... In coal mines, it is significant to carry out effective fault diagnosis of the belt conveyor . This study aims at providing an effective means for ...
WhatsApp: +86 18203695377paper, a new machine vision detection method for identifying and screening out various large foreign objects on coal firstdescribesthe significance of the detection of large foreign objects on the belt conveyor in the coal mine, builds the framework of the
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WhatsApp: +86 18203695377In coal production, the raw coal contains a large amount of gangue, which affects the quality of coal and pollutes the environment. Separating coal and gangue can improve coal quality, save energy, and reduce consumption and make rational use of resources. The separated gangue can also be reused. Robots with computer vision technology have become current research hotspots due to simple ...
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WhatsApp: +86 18203695377Support vector machine (SVM) was used to identify the coal types. The number of flame features used to build the SVM model was reduced from 20 to 12 by combining the methods of ReliefF and SVM ...
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WhatsApp: +86 18203695377The most common activities associated with these incidents were maintenance and operating the machine. According to Mine Safety and Health Administration (MSHA) accident data, from the coal industry averaged 1,206 accidents per year involving mobile face equipment. Of these, 252 per year occurred while operating continuous mining ...
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WhatsApp: +86 18203695377Considering that Huainan is an important coal producing area. the coalgangue and coal blocks used in the experiment were obtained from Huainan mining area [11], and 300 coal and gangues with similar sizes were selected for spectral image order to improve the accuracy of detection, not only the multispectral image data containing multiple coal blocks and gangue are collected ...
WhatsApp: +86 18203695377Belt T ear Detection for Coal Mining Conveyors Xiaoqiang Guo 1, Xinhua Liu 1, *, Hao Zhou 1,2, Rafal Stanislawski 3, Grzegorz Kr ó lczyk 4 and Zhixiong Li 4
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WhatsApp: +86 18203695377The output of scintillation detector 64 is typically indicated by meter 158 observable by the operator of machine 74 to thus enable him to operate the shearing drum to a desired position of cut to shear the coal close to the coalrock interface. As the shearing head progresses, the source and detector units separately follow the surface of the ...
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WhatsApp: +86 18203695377Machine vision is the study of techniques to extract meaningful information from highdimensional images. One approach to machine vision makes use of a range of digital image processing techniques, such as filtering, thresholding, edge detection, segmentation, or colour analysis, in order to obtain relevant information from the image.
WhatsApp: +86 18203695377The belt conveyor is the most commonly used conveying equipment in the coal mining industry. As the core part of the conveyor, the belt is vulnerable to various failures, such as scratches, cracks, wear and tear. Inspection and defect detection is essential for conveyor belts, both in academic research and industrial applications. In this paper, we discuss existing techniques used in ...
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WhatsApp: +86 18203695377Detection Width: 300mm 400mm 500mm. Detection Height: 100 mm 120 mm 150 mm 200 mm. Belt Height: Customized. Max Belt speed : 25m/min. Material for conveyor belt: Food grade PU belt, Display and operation mode: LCD flat key input. Frequency: About 90 W. Powder: AC 110V/ 220V 5060 Hz. Alarm way: Alarm, belt stop.
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