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No. 1688, Gaoke East Road, Pudong new district, Shanghai, China.
The process of coal mining generates high amounts of coal gangue. Accordingly, coal–gangue separation is a key problem limiting coal production and quality. Terahertz time …
It is vital to differentiate between coal and gangue in coal mining effectively. 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 …
Coal and gangue identification methods used during the top coal caving process are reviewed herein.
If coal and gangue blocks are fused, the system determines the classification based on the proportion of gangue present on the coal block as captured by the camera image.
Specifically, we propose a coal and gangue classification framework which combines traditional convolutional neural networks for feature extraction of coal and gangue, …
The results show that convolution neural network can effectively learn and extract the image features of coal and gangue automatically, classify coal andgangue, and provide …
Therefore, the classification of coal gangue and the detection of physicochemical properties and mineral composition should be conducted when selecting the rational utilization …
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 Leiying Xie and …
Achieving accurate classification of coal and gangue is a pivotal step in the modernization and transformation of intelligent coal mines and plays a positive role in harmonizing the economic, social, and ecological aspects of …
DOI: 10.2139/ssrn.4281797 Corpus ID: 253754424; Coal and Gangue Classification in Actual Environment of Mines Based on Deep Learning @article{Luan2023CoalAG, title={Coal and Gangue Classification in Actual Environment of Mines Based on Deep Learning}, author={Hengxuan Luan and Haoliang Xu and Wei-Feng Tang and Ying Tian and Qiang …
After combining multivariate statistical methods — cluster analysis (CA) and principal component analysis (PCA) — a model based on THz parameters and diff erent types of coal and gangue …
The process of coal mining generates high amounts of coal gangue. Accordingly, coal-gangue separation is a key problem limiting coal production and quality. Terahertz time-domain spectroscopy was combined with multivariate statistical analyses to identify different kinds of coal and gangue. First, the terahertz spectrum and power spectrum of the sample were measured, …
Gangue minerals are mainly nonmetallic minerals, but also include metal minerals that have no comprehensive utilization value due to their low content, such as pyrite, galena, and sphalerite in copper ores. The proportion of ore minerals and gangue minerals varies with ore types and with rich and poor mineral grades in the same ore.
The timely injection of gangue slurry into the mining space formed after coal mining can scale up the disposal of gangue and control surface deformation. However, the waterproof effect of gangue slurry in the mining space remains unclear, necessitating urgent investigation into the permeability characteristics of compacted backfill bodies of gangue slurry under the action …
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 feature extraction …
The coal gangue classification precision reaches 99.7% when tested on 1479 images. Compared with YOLOv5 series, YOLOv7 series, SSD and Faster-RCNN, the proposed method invariably yields higher ...
The problem of uneven illumination in the coal gangue image and the existence of fine coal gangue reduces the accuracy of the coal gangue location, which also makes it difficult to the annotation of the coal gangue images. ... and a statistical method based on classification probability is proposed to automatically screen the questionable ...
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 vector machine (SVM). Firstly, …
To compare the classification performance of different machine learning models on the coal and gangue images reconstructed by ANIMR-GAN, KNN, SVM, LSSVM, XGBoost, and RF algorithms were used.
It is vital to differentiate between coal and gangue in coal mining effectively. In recent years, classification methods for images of coal‐ and gangue‐based convolutional neural networks have ...
The precise classification of coal and gangue is a crucial link for effective sorting and efficient utilization. However, there are some shortcomings in traditional methods, such as water ...
This study introduces a classification method for coal and gangue based on a combination of laser-induced breakdown spectroscopy (LIBS) and deep learning. The method employs Gramian angular summation fields (GASF) to convert 1D spectral data into 2D time-series data, visualizing them as 2D images, before employing a novel deep learning model ...
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 degree images of coal and …
As shown in Table 5, Luan et al. proposed a coal and gangue classification method based on CNN. Compared with this model, the P and R of Our-v8 increased by 3.9% and 3.7%, respectively. Yan et al. proposed an improved YOLOv5 model to detect coal and gangue. However, they used multispectral data as input to the model instead of RGB images, which ...
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 operation, (b ...
Efficiently sorting coal gangue and identifying coal types are vital operations in coal preparation, yet they are traditionally resource-consuming, labor-intensive, and potentially hazardous. This work puts forward an straightforward method employing mid-infrared spectroscopy with first derivative spectrum to address these issues. The proposed technique focuses on the …
As one of the most important energy sources in the world, efficient mining and application of coal is the basis for fully utilizing its effectiveness. During the mining stage, accurately identifying coal and surrounding rock is essential to prevent both oversegmentation and undersegmentation. During the beneficiation stage, separating gangue from coal is crucial to enhance coal …
Functional classification divides frothers into two groups. The first group are standard frothers, which help to disperse bubbles and form a froth (Grau and Laskowski, 2006, Melo and Laskowski, 2006, Khoshdast and Sam, 2011, Khoshdast et al., 2011).The structure of these frothers consists of one or a few hydroxyl groups and a hydrophobic chain giving these …
CLASSIFICATION METHOD OF COAL AND GANGUE USING TERAHERTZ TIME-DOMAIN SPECTROSCOPY, CLUSTER ANALYSIS AND PRINCIPAL COMPONENT ANALYSIS D. Shao,a Sh. Miao,a,* Q. Fan,a X. Wang,a UDC 543.42:622.33 Zh. Liu,b,c and E. Dingb,c The process of coal mining generates high amounts of coal gangue. Accordingly, coal–gangue separation is a …
Coal and gangue classification is crucial to coal preparation technology in the coal mining process. Existing research on gangue image classification is almost carried out in the ideal laboratory environment, without considering the limitations of actual coal mine production on lighting conditions and equipment installation. To solve this ...
