آخرین محصولات

GB/T 29162-2012 English PDF

GB/T 29162-2012 Classification of gangue ICS 27.010 F10 National Standards of People's Republic of China Gangue classification Issued on. implementation Administration of Quality Supervision, Inspection and Quarantine of People's Republic of China Standardization Administration of China released Foreword This standard …

GB/T 29162-2012

Find the most up-to-date version of GB/T 29162-2012 at GlobalSpec.

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 reduction of separation accuracy. So, rather than purely depending on the image features to distinguish the coal gangue, it is meaningful to utilize fixed coal characteristics like density. This study achieves the …

Study on the separation mechanism of coal and gangue …

Here, the classification efficiency was calculated taking 0.045 mm as a reference using the Hancock formula [42]. The classification efficiencies of coal, gangue and mixture first increase and then have a slight decrease when increasing the feed concentration. The classification efficiencies reach the highest under the feed concentration of 14%.

Novel Methods for Separation of Gangue from Limestone …

The associated gangue minerals from limestone and coal mines were identified using three different approaches. All the methods were based on extensions of the co-occurrence matrix method. ... ore sorting and classification . Image processing is a potential approach for developing an online system, which stimulates human eyes to detect gangue ...

A Bayesian optimal convolutional neural network approach …

Here, multispectral imaging technology combined with the convolutional neural network (CNN) was applied to classify coal and gangue, in which the hyperparameters of the …

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 positioning ...

Classification of coal gangue and identification of coal type …

Semantic Scholar extracted view of "Classification of coal gangue and identification of coal type based on first-derivative of mid-infrared spectrum" by Zekun Li et al.

Design and application of coal gangue sorting system based …

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. If the proportion of gangue within a coal block exceeds 50%, it is typically classified as gangue.

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 S, CO, SO 2 during …

Characteristics of Coal Gangue and Present Situation and …

According to the coal-forming characteristics of coal-accumulating basins in China, the coal gangue-producing areas can be divided into 5 regions: Northeast, North, South, …

A Bayesian optimal convolutional neural network approach …

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 consumption, coal slime pollution, and great influence of environmental factors, and so on. Here, multispectral imaging technology combined with the ...

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

Coal and Gangue Classification Based on Laser-Induced …

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 coal and gangue based on color and other visual characteristics. The working conditions for manual classification are generally more strenuous and demanding, …

Cascade network for detection of coal and gangue in the …

Since coal and gangue are randomly distributed on the conveyor belt, it is not only necessary to design a classification model, but also to detect the localization of the objects. Therefore, a hierarchical framework for coal and gangue detection was proposed, and the samples of training datasets were collected from three different regions [ 18 ].

STATNet: One-stage coal-gangue detector based on deep …

(4) Collaborative learning: The classification and localization tasks of heads are independent of each other and lack interaction in existing studies on coal and gangue detection. In this work, we applied TAH to facilitate collaborative learning between the two tasks, resulting in more accurate classification and localization predictions.

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 …

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 degree images of coal and …

Researching | Classification Method of Coal and Gangue …

This study aimed to explore the feasibility of the accurate classification of coal and gangue with black background based on the visible and near-infrared hyperspectral imaging technology, simplify classification models using feature selection methods, and provide a reference for constructing a multispectral system for coal and gangue separation.

Classification metrics of coal and gangue for the four models.

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 ...

Investigation of static mechanical characteristics …

The recycling of gangue in GCBM alleviates gangue accumulation pollution and improves mining production efficiency. Macroscopically, uniaxial compression experiments regarding various loading strain rates (⁠ ε ̇ ⁠) on …

Coal Gangue Classification Based on the Feature Extraction …

So, rather than purely depending on the image features to distinguish the coal gangue, it is meaningful to utilize fixed coal characteristics like density. This study achieves …

Spectral band selection and ANIMR-GAN for high …

We trained the model on 600 coal and gangue MSI samples and validated it on an independent set of 120 samples. The ANIMR-GAN, combined with a random forest classifier, achieved a maximum accuracy of 97.78% and an average accuracy of 93.72%. Furthermore, the study identifies the 959.37 nm band as optimal for coal and gangue classification.

Research on image classification of coal and gangue based …

The GSAGNet model in this study can classify coal and gangue efficiently, which can effectively enable the separation of underground coal andgangue and has specific practical application significance and value. It is vital to differentiate between coal and gangue in coal mining effectively. In recent years, classification methods for images of coal‐ and …

Posture classification of gangue; (a) flat posture; …

In order to improve coal gangue classification and recognition effect, a coal gangue classification and recognition method of "multi-information fusion" based on the "parallel voting system ...

Research on Recognition of Coal and Gangue Based on …

SVM simplifies classification and regression problems, particularly in small-sample scenarios. In this study, the SVM classifier is employed to categorize the 240 coal gangue laser speckle images collected from the aforementioned experiments. The classification is based on features derived from the gray-level co-occurrence matrix.

Intelligent photoelectric identification of coal and gangue − …

Artificial gangue selection, as the earliest method of coal gangue separation, exhibits low efficiency and accuracy while also posing health risks to workers [10].Wet gangue selection technology utilizes the gravity difference between coal and gangue in a liquid medium to achieve efficient separation, addressing the issue of fly ash that endangers worker health [11].

An accurate measurement method of irregular coal gangue …

The classification index gray difference similarity of depth image defect is proposed. ... Coal gangue classification based on the feature extraction of the volume visual perception ExM-SVM. Energies, 16 (4) (2023), p. 2064, 10.3390/en16042064. View in Scopus Google Scholar [33]

Lightweight detection model for coal gangue identification …

Sun and Chen [] decomposed coal rock images based on double-tree complex wavelet transform and completed image identification based on relative entropy similarity.Li et al. [] built a coal gangue sorting image capture system, and the test results of coal and gangue classification accuracy were 90.3% and 83.0%, respectively.Xue et al. [] proposed a coal …

Classification of coal gangue and identification of coal type …

This paper proposes a simple and efficient method based on infrared spectroscopy to simultaneously achieve coal gangue classification and coal type identification.

محصولات مرتبط

 

دفتر مرکزی

No. 1688, Gaoke East Road, Pudong new district, Shanghai, China.

 

مرکز تماس

Phone1: 0086-21-58386256

Phone2: 0086-21-58386258

 

پست الکترونیک

[email protected]