WEBSep 30, 2022 · The GPR is used to detect the selfbuilt physical model of coal fire, and deep learning algorithms are applied to recognize the radar images. Based on the physical model test results and deep learning detection results, the following conclusions are obtained. (1) A reliable, fast, and accurate method for detecting coal fire areas is obtained.
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WEBMar 17, 2020 · Subtle variations in the measured properties can be used to determine the abundance and composition of key minerals at Earth's surface. For example, specific spectral absorption features and ...
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WEBMar 14, 2024 · With the continuous development of deep learning, the appliion of object detection based on deep neural networks in the coal mine has been expanding. Simultaneously, as the production appliions demand higher recognition accuracy, most research chooses to enlarge the depth and parameters of the network to improve .
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WEBApr 1, 2024 · Deep learning, a machine learning algorithm based on artificial neural networks, ... Yan Pengcheng et al. used multispectral technology to collect spectral images of coal gangue, used YOLOv5 to detect coal gangue, and loed coal gangue through the builtin positioning function [18].
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WEBFeb 1, 2018 · To address this challenge, this study proposes a hybrid approach, namely, Light Gradient Boosting Machine plus Ordinary Kriging (LGBK), for predicting the spatial distribution of soil heavy metals. A total of 137 soil samples were collected from the Shengli Coalmine Base in Inner Mongolia, China, and their heavy metal concentrations .
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WEBOct 1, 2022 · However, soil organic matter, iron and manganese oxides, clay minerals, and other soil spectral active components have a strong adsorption and occurrence relationship with heavy metals in the soil, resulting in a significant correlation between heavy metal content and soil spectrum (Liu et al., 2011, Shi et al., 2014). This correlation provides ...
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WEBDec 26, 2022 · Another point to note is that large amounts of extracted coal gangue accumulation causes severe damage to ecological environments. Heaps of gangue cause soil erosion, occupy land resources, and pollute water resources and soil resources (as shown in Fig. 4).The waste gangue generated by mining is difficult to handle, is widely .
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WEBFeb 1, 2017 · All these techniques detect the leakage of low amounts of chemical constituents in the surrounding area. Due to their high sensitivity, even low concentrations of explosives in the soil could be detected (Habib, 2007). A review of the methods that use chemical vapor sensing in order to detect landmines is given in Yinon (2003).
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WEBJun 8, 2023 · Agriculture is essential to a flourishing economy. Although soil is essential for sustainable food production, its quality can decline as cultivation becomes more intensive and demand increases. The importance of healthy soil cannot be overstated, as a lack of nutrients can significantly lower crop yield. Smart soil prediction and digital soil mapping .
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WEBNorth Carolina [US], July 23 (ANI): A suite of four new tests that can be used to detect coal ash contamination in soil with unprecedented sensitivity was recently developed by Scientists at Duke University. The peerreviewed study was published in the journal 'Environmental Science and Technology'.
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WEBCoal mining Underground, Surface, Drilling: The various methods of mining a coal seam can be classified under two headings, surface mining and underground mining. Surface and underground coal mining are broad activities that incorporate numerous variations in equipment and methods, and the choice of which method to use in extracting a coal .
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WEBOct 30, 2023 · The investigation compares the conventional, advanced machine, deep, and hybrid learning models to introduce an optimum computational model to assess the ground vibrations during blasting in ...
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WEBJan 17, 2024 · The intrinsic mechanism and impact process of how coal gasifiion coarse slag (CGCS) amends the physicochemical properties of a specific soil based on its properties are not yet clear. The study explored the properties of CGCS that can be used for soil amendment by evaluating the properties of topsoil and CGCS. Different CGCS .
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WEBJul 1, 2021 · Soil heterogeneity and matrix effects affect detection limit and sensitivity of LIBS in detecting minor or trace elements. For soil, the advantage of chemometrics lies in the feature extraction of complex spectral information, which reduces the interference of irrelevant spectral data on the quantitative analysis of elements.
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WEBThe device is the firstever example of technology that can detect NRN in its vapor phase. In order to probe the soil under a concrete slab for that NRN, a oneeighth inch hole need only be ...
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WEBOct 1, 2022 · Estimation of soil heavy metal from hyperspectral image and the uncertainty analysis. For soil heavy metal monitoring based on hyperspectral remote sensing, the accuracy is susceptible to image endmember spectrum and soil properties.
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WEBJan 1, 2023 · The main organic component of the SOM used in this study is soil organic carbon. The content was determined using the dichromate oxidation method [2]. ... combined hyperspectral techniques with machine learning to predict soil heavy metal content and obtained high prediction accuracy. Chen et al. [5] combined near infrared .
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WEBA project from the University of Maine monitors soil moisture using AI that over time learns to make a sensor network as efficient as possible, creating a lowenergy way to track climate change ...
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WEBMar 20, 2024 · Vibration detection methods are utilised to differentiate between coal and rock by acquiring signals from the body of the coal mining machine or the top and bottom of the rock, and cutting the ...
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WEBJul 1, 2018 · However, in the process of topcoal caving, manual judgment is still used to control the opening switch of drawing coal, which affects the coal caving efficiency and personnel safety to a certain ...
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WEBIt is unlikely to detect coal tars, creosotes, pentachlorophenols, or bunker C. It does not detect polychlorinated biphenyls, chlorinated alkenes and alkanes, or explosives. Detection limits are in the 100 to 500 ppm range, depending upon soil and petroleum type.
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WEBJun 19, 2021 · Section 2 provides information about standard machine learning techniques used for soil analysis. ... The table shows lower sensitivity of the UVVIS range for the presence of P, where magnesium was easier to detect with all machine learning techniques. The better performance of the machine learning techniques can be .
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WEBFeb 1, 2023 · The geological transparency of working face is the premise and guarantee to realize the intelligent and accurate mining for coal large number of gas drainage holes, water exploration holes and other boreholes are constructed before and during coal mining. In this paper, the borehole radar (BHR) is used to detect the coal .
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WEBNov 16, 2020 · Abstract Some indiors for evaluating heavy metal pollution have been proposed. However, a threshold is lacking to judge if the heavy metal concentration has reached the extent that is harmful to plant health. In order to get the threshold, aerial hyperspectral images were obtained. The spatial patterns of six soil heavy metals (Cu, .
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WEBAug 16, 2022 · It is particularly popular in the coal mining industry since manufacturers build continuous mining machines to cut through the material. Benefits of Using Continuous Mining Machines The primary appeal of continuous mining equipment is that it handles the most timeconsuming job of mining without user input .
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WEBJan 14, 2022 · Xray fluorescence (XRF) is widely used to rapidly detect heavy metals in soil. Spectra processing has been an important research topic to improve accuracy. In this study, 80 soil samples were analyzed by XRF under indoor conditions, where different preprocessing and quantitative analysis methods were compared in terms of prediction .
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WEBJan 3, 2023 · Coal gangue (CG), one of the world's largest industrial solid wastes produced during coal mining, is extremely difficult to be used owing to its combined contents of clay minerals and organic macromolecules. This study explored a novel process of degrading the harmful organic compounds in the CG into humic acid using a biological method .
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A material supplier from Belgium would like to produce limestone powder for his custome...
India is rich in various mineral resources and it is an important mineral processing market
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