A Novel Index to Detect Opencast Coal Mine Areas From …
Detection, classification and monitoring of surface mining region from satellite images have vast challenges. Surface mining industry has huge effect on …
اقرأ أكثر
Deep learning-based image classification for online multi-coal …
However, taking Res Net 50 model with the highest classification accuracy as an example, its classification accuracy in the mixed coal sample image dataset (83.42%) is lower than that in the anthracite image data set (90.19%), which is due to the relatively weak ability to classify coke coal and gas coal images in the mixed coal …
اقرأ أكثر
Research on Automatic Classification of Coal Mine …
Efficient and accurate classification of the microseismic data obtained in coal mine production is of great significance for the guidance of coal mine production safety, disaster prevention and early warning. In the early stage, the classification of microseismic events relies on human experiences, which is not only inefficient but also …
اقرأ أكثر
Coal | Uses, Types, Pollution, & Facts | Britannica
Coal is defined as having more than 50 percent by weight (or 70 percent by volume) carbonaceous matter produced by the compaction and hardening of altered plant remains—namely, peat deposits. Different varieties of coal arise because of differences in the kinds of plant material (coal type), degree of coalification (coal rank), and range of …
اقرأ أكثر
Application of Deep Learning in Petrographic Coal …
The most fundamental characteristic of coal's run-of-mine (ROM) distinguishes between coal rocks and the accompanying gangue. Pu et al. used the VGG16 CNN for the classification of images presenting …
اقرأ أكثر
Application of Deep Learning in Petrographic Coal Images Segmentation
The most fundamental characteristic of coal's run-of-mine (ROM) distinguishes between coal rocks and the accompanying gangue. ... Pu et al. used the VGG16 CNN for the classification of images presenting coal or gangue in different configurations (as stockpiles, during transportation, photographed in laboratory …
اقرأ أكثر
A Novel Index to Detect Opencast Coal Mine Areas From …
Detection, classification and monitoring of surface mining region from satellite images have vast challenges. Surface mining industry has huge effect on social, economical, ecological, and environmental welfare of a country. Machine learning techniques are used to capture the unique characteristics of surface mining region from …
اقرأ أكثر
Coal and Rock Classification with Rib Images and …
Keywords Rock classication · Image processing · Patch · Machine learning · SVM · Random forest 1 Introduction The failure of coal pillar ribs is a major hazard in under …
اقرأ أكثر
Spectral band selection and ANIMR-GAN for high …
Shaanxi is an important coal-producing province in China, with areas such as Yan'an, Jingbian, and Yulin being the main coal mining regions 23. 300 coal samples and 300 gangue samples were ...
اقرأ أكثر
Coal Rank, Kentucky Geological Survey, University of Kentucky
The stages of physical and chemical changes that proceed from peat through coal are called coalification, and are classified and described by rank.In general, rank categories are defined based on recognizable changes in coal parameters.
اقرأ أكثر
Integrating image processing and deep learning for effective …
A comprehensive evaluation method is proposed to analyze dust pollution generated in the production process of mines. The method employs an optimized image-processing and deep learning framework to characterize the gray and fractal features in dust images. The research reveals both linear and logarithmic correlations between the …
اقرأ أكثر
Coal mine area monitoring method by machine learning and …
Demirel et al. [82] monitored changes in the geographic size of coal mines over four years at a spatial resolution of 1 m over an area of 5000 km 2 .
اقرأ أكثر
Spoil characterisation using UAV-based optical remote sensing in coal
The structural integrity of mine dumps is crucial for mining operations to avoid adverse impacts on the triple bottom-line. Routine temporal assessments of coal mine dumps are a compliant requirement to ensure design reconciliation as spoil offloading continues over time. Generally, the conventional in-situ coal spoil characterisation is …
اقرأ أكثر
Coal mine area monitoring method by machine learning and …
Fig. 7 (b) is the Saraji coal mining area, the original image was collected on Feb. 1, 2018. Comparing the two images with the original images and the actual data, …
اقرأ أكثر
Coal and gangue classification in actual environment of …
Fig. 1 compares the surface state differences of coal and gangue in various situations based on the proposed model. In the ideal laboratory environment, the light …
اقرأ أكثر
International Classification | Atlas of Coal Geology
This volume of the "Atlas of Coal Geology" provides 393 images on various subject matters related to coal deposits and coal resource utilization. The supporting text provides an introductory overview of coal exploration, mining, and coalbed methane (CBM) development, followed by discussions on various megascopic aspects of coal geology ...
اقرأ أكثر
USGS Bulletin 1450: Coal Resource Classification System
INTRODUCTION. This method of classification is in conformity with the provisions of the Joint Geological Survey-Bureau of Mines Resource Classification Agreement of November 21, 1973, covering all mineral resources and will be used in future resource/reserve studies on coal conducted by agencies of the Department of the Interior.
اقرأ أكثر
Research on Automatic Classification of Coal Mine …
A time-series data enhancement combination process is proposed for the actual poor microseismic data, where a hybrid FCN-LSTM network structure was built, the optimal network parameters were obtained by experiments, and finally a reasonable microseISMic data classifier was obtained. Efficient and accurate classification of the …
اقرأ أكثر
Coal mine area monitoring method by machine learning and …
A large amount of gangue is produced during the coal mining process, and the gangue contains a large amount of metal and sulfide, which is one of the environmental pollution sources. Therefore, how to monitor changes in coal mines in real time is an important task. With regard to this problem, we propose a new method of monitoring …
اقرأ أكثر
The Origin and Classification of Coal | SpringerLink
The chapter gives an overview of the classification of coal, using several systems from the past, as well as the present-day, official one. ... Table 2.1 The different stages of coalification and image of the coal per stage. Full size table. ... Heerlen was the central town of Dutch coal mining, where also the headquarters of Dutch State Mines ...
اقرأ أكثر
Coal rock image recognition method based on improved …
1 INTRODUCTION. Intelligent and unmanned mining is an important development direction of coal mining enterprises in China (Kang, 2021; Shan et al., 2019; Wang et al., 2020).In this case, coal-rock recognition is the core technology to realize intelligent shearer, which has become an urgent technical problem in the field of coal …
اقرأ أكثر
Deep learning-based image classification for online multi-coal …
Deep learning is an effective way to improve the classification accuracy of coal images for the machine vision-based coal sorting. However, the related research on deep learning-based mineral ...
اقرأ أكثر
Vintage Photos of Coal Miners and the Brutal Conditions …
The history of coal mining in the United States starts with the first commercial use in 1701, within the Manakin-Sabot area of Richmond, ia. Coal was the dominant power source in the late 1800s and early 1900s, and although in rapid decline it remains a significant source of energy in 2023.
اقرأ أكثر
Coal and Gangue Classification Based on Laser-Induced …
During the extraction and processing of coal, a large amount of solid waste, collectively known as gangue, is produced. This gangue has a low carbon content but a high ash content, accounting for approximately 15 to 20% of the total coal yield. Before coal is used, coal and gangue must be effectively separated to reduce the gangue …
اقرأ أكثر
Coal mine area monitoring method by machine learning and …
A new exploration technology for coal that uses satellite images to explore and monitor opencast coal mining areas and a multilayer extreme learning machine algorithm is proposed that can assist in the classification of bituminous coal, lignite, and non-coal objects. Expand
اقرأ أكثر
Research on image classification of coal and gangue based …
At the same time, with the rapid development of image processing and pattern recognition, coal and gangue recognition technology based on image processing has attracted increasingly more attention in the coal mining field. 12 Based on this, Liang et al. extracted critical features from a grayscale histogram for differentiation between …
اقرأ أكثر
Support design in underground coal mines using modified …
In India, CMRI–ISM RMR classification is recommended for use in all the underground coal mines to evaluate the roof conditions (based on RMR) and designing suitable support system in development and depillaring headings (Paul et al. 2014).In this system, the rock load from the immediate roof is determined from an adjusted RMR …
اقرأ أكثر
Performance evaluation of a deep learning based wet coal image
Chaves et al. set up VGG 16 image classification model to efficiently complete the image classification task of coal and gangue ... A Deep Convolutional Neural Network Model for Intelligent Discrimination between Coal and Rocks in Coal Mining Face. Math. Probl. Eng., 2020 (2020), pp. 1-12, 10.1155/2020/2616510. Google …
اقرأ أكثر
Identification and Monitoring of Surface Elements in Open-Pit Coal Mine
Coal mining has brought a series of environmental problems. Local government departments have issued relevant governance policies, but the premise of scientific prevention and control is to correctly grasp the actual distribution of various ground objects in the mining area. Using classification methods to extract ground object …
اقرأ أكثر
Mapping and detection of land use change in a coal mining …
Object-based image analysis was used to map land use in the Panxie coal mining area, East China, where long-term underground coal mines have been exploited since the 1980s. A rule-based classification approach was developed for a Pleiades image to identify the desired land use classes, and the same rule-based classification …
اقرأ أكثر