Research on lightweight Yolo coal gangue detection …
Therefore, referring to the definition of a target scale in the MS COCO data set, the scale classification of a presorting gangue is rated through statistical analysis of the particle size distribution of the gangue in the prepared image data set, and the redundant scale of YOLO gangue detection model is clip accordingly, which is conducive to ...
Effects of bactericides and sulphate reducing bacteria …
Introduction. Coal is the most widely utilized basic energy source in the world. Coal gangue is a carbon-containing waste that is inevitably produced during coal mining and processing, and its generation accounts for 10% to 20% of raw coal (Liang et al., 2016).Coal gangue releases a large amount of toxic and harmful gases such as H 2 …
Detection of coal and gangue based on improved YOLOv5.1 which embedded
Accurate identification of coal-gangue have great significance for separation of coal-gangue. The traditional coal-gangue identification method has the disadvantages of low accuracy and slow speed. Therefore, an intelligent classification method of coal-gangue based on multispectral imaging technology and target detection is proposed in …
A lightweight coal gangue detection method based on …
Chen Kaiyun et al. designed a lightweight YOLOv8n-GSC model for the classification of coal gangue, which reduced the detection time of coal gangue [17]. Yan Pengcheng et al. used multispectral technology to collect spectral images of coal gangue, used YOLOv5 to detect coal gangue, and located coal gangue through the built-in …
Classification of Mineral Deposits
This subdivision, or classification, can be based on a number of criteria, such as minerals or metals contained, the shape or size of the deposit, host rocks (the rocks which enclose or contain the deposit) or the genesis of the deposit (the geological processes which combined to form the deposit). ... These elements are deposited to form the ...
Coal and gangue classification in actual environment of …
Coal and gangue classification is crucial to coal preparation technology in the coal mining process. Existing research on gangue image classification is almost …
Intelligent photoelectric identification of coal and gangue − …
Image segmentation, feature extraction, and classification are discussed in detail, focusing on the characteristics of coal gangue. Different wavelength invisible light recognition technologies are applied, and the principles and research progress of the X-ray identification of coal gangue are discussed from a particle physics perspective.
Coal and Gangue Classification Based on Laser …
As depicted in Figure 1, two main methods can be employed for classifying coal and gangue: manual classification and automatic classification.In manual classification, the operators primarily sort …
Research on Recognition Algorithm Based on Polarization …
In this paper, an intelligent identification method of gangue based on polarization imaging technology is proposed. Firstly, a gangue image acquisition system was built in the laboratory, and 2000 groups of coal and gangue samples were collected, including polarization intensity images, polarization angle images and polarization …
Research on the Identification Mechanism of Coal Gangue …
For coal and gangue, intelligent sorting processes for separation, the use of coal and gangue mineral components with different fundamental differences, and the study of different properties of minerals and coal with different scales and density regarding the gray value change law are presented. The results show that the gray value of single …
Classification of coal and gangue under multiple surface …
As shown in Table 5, the classification performance of the five tests was relatively stable. The average accuracy corresponded to 90.9% and 92% in the training …
Dual-energy X-ray transmission identification method of …
It can only identify raw coal pre-discharge gangue while cannot control coal quality after separation by regulating separation parameters. In terms of algorithm, some scholars propose an algorithm based on R-I two-dimensional expansion space, thus calculating the membership degree and further distinguishing the classification of …
Sensors | Free Full-Text | Research on Recognition of Coal and Gangue …
Coal gangue image recognition is a critical technology for achieving automatic separation in coal processing, characterized by its rapid, environmentally friendly, and energy-saving nature. However, the response characteristics of coal and gangue vary greatly under different illuminance conditions, which poses challenges to the stability of …
Coal and Gangue Classification Based on Laser-Induced …
Wet classification mainly includes hydrodynamic screen jigging classification and heavy medium classification, and these methods are widely used in the field of coal and gangue classification. 2 By use of the density difference between coal and gangue, the effect of stratified separation is realized. In the wet classification …
Research on image classification of coal and gangue …
identify coal and gangue automatically.18,19 Su et al. improved the LeNet‐5 model by enhancing the activation function, network depth, and the size and number of convolutional kernels to improve coal and gangue classification accuracy.20,21 Pu et al. applied the VGG16 model as a classification model for coal and gangue while
Study on recognition of coal and gangue based on …
The early fusion network can complete the coal gangue classification target task faster and better than the late fusion network. To further analyze the recognition and classification effect of coal gangue, the confusion matrix is used for visual analysis, and the results are shown in Fig 17. As shown in the figure, the total number of samples ...
Classification Method of Coal and Gangue Using Terahertz
The process of coal mining generates high amounts of coal gangue. Accordingly, coal–gangue separation is a key problem limiting coal production and …
Coal and gangue classification in actual environment of …
Request PDF | On Feb 1, 2023, Hengxuan Luan and others published Coal and gangue classification in actual environment of mines based on deep learning | Find, read and cite all the research you ...
A micro-multispectral vision sensor: research on on-line …
Recognizing coal and coal gangue is an important part of the coal industry and is mainly conducted via human sorting at present. Consequently, considerable manpower is needed, which adds a burden ...
Coal Gangue Classification Based on the Feature Extraction …
Computer-vision-based separation methods for coal gangue face challenges due to the harsh environmental conditions in the mines, leading to the …
Research on image classification of coal and …
The accuracy of the coal and gangue classification model is improved to some extent by both the Channel Shuffle and the ECA module shown above. As a result, this study analyzes how well these …
Research on coal gangue classification recognition method …
For the traditional machine learning methods rely on manual experience and deep learning classification model depth and complex structure, resulting in poor gangue classification performance, this paper proposes a coal gangue recognition method (CNN-SVM) based on the combination of convolutional neural network (CNN) and support …
Investigating comparisons on the coal and gangue in …
Color features play a dominant role in coal-gangue image classification. Abstract. Online intelligent recognition of coal and gangue is an important aspect of coal mine intelligent development. Current research focuses more on improving recognition accuracy through optimizing image processing algorithms, but there is limited research …
Classification of coal gangue and identification of coal type …
DOI: 10.1016/j.infrared.2024.105537 Corpus ID: 272313196; Classification of coal gangue and identification of coal type based on first-derivative of mid-infrared spectrum @article{Li2024ClassificationOC, title={Classification of coal gangue and identification of coal type based on first-derivative of mid-infrared spectrum}, author={Zekun Li and …
Research on online visual recognition of coal gangue based …
Luan HX, Xu H, Tang W, Tian Y, et al. Coal and gangue classification in actual environment of mines based on deep learning. Measurement. 2023; 211(4): 1-12. Google Scholar [10] Xue GH, Li SX, Hou P, et al. Research on lightweight Yolo coal gangue detection algorithm based on resnet18 backbone feature network.
Cascade network for detection of coal and gangue in the …
While Softmax is convenient for multiple classifications, the recognition of coal and gangue requires binary classification only, so in this study it was replaced by SVM as the classifier. (3) The cross entropy loss was replaced by squared hinge loss function for training. Cross entropy loss is commonly used for logistic regression and Softmax ...
Research on image classification of coal and gangue based …
In recent years, classification methods for images of coal- and gangue-based convolutional neural networks have emerged, which makes the analysis process simple and fast. However, these methods still have the limitation of balancing recognition performance and computational efficiency due to the limitation of device hardware.
Research on image classification of coal and gangue based …
The accuracy of the coal and gangue classification model is improved to some extent by both the Channel Shuffle and the ECA module shown above. As a result, this study analyzes how well these two components work. According to the addition situation, we designed the following four experiments, that is, (a) without adding any …
Recognition method of coal and gangue combined with …
Through the optimization of the hyperparameters in Section 3.3, the hyperparameters of PCANet for MSI classification of coal and gangue are as follows: NumStages = 1, PatchSize = 3 × 3, NumFilters = 6, HistBlockSize = 6 × 2, and BlkOverLapRatio = 0. At this time, the average recognition accuracy of PCANet model …
Review High-capacity utilization of coal gangue as …
Classification of gangue: Classification of CG: National specification in China: National specification: 2012: T/CECS 1469–2023: Standard for construction embankment with coal waste in coalfield railways: Railway construction materials in mining area: China Association for Engineering Construction Standardization: