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WEBAbstract: Under the engineering background of conveyor belt prone to be torn in coal production, an intelligent Detection system for mine belt tearing based on machine vision is designed. This paper first describes the overall composition of the system, and then introduces the methods of belt image preprocessing, image segmentation and .
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WEBNov 1, 2020 · In order to achieve rapid and simultaneous quantitative detection of C, H, N in coal, a hybrid model combining laserinduced breakdown spectroscopy (LIBS) with machine learning algorithm is proposed. The detailed operations are as follows: A Nd: YAG laser with wavelength of 1064 nm is selected as excitation source, 14 kinds of national .
WEBJul 1, 2022 · The results showed that the detection method based on the deep learning model accurately loed coal gangue, and the accuracy rate reached %. This paper studies the appliion of YOLOv4 detection algorithm in deep learning in the intelligent detection of coal gangue to reduce the impact of noise and radiation on workers.
WEBIntroduction. PJ Tech Industrial Metal Detection Systems are designed to protect downstream equipment ( crushers, mills, conveyor belts) from damage by a conveyed tramp metal. Our detectors are able to detect magnetic and nonmagnetic metals while ignoring very conductive and sometimes even magnetic ores that are so common within .
WEBApr 1, 2021 · In general, the current damage detection methods for belt conveyors based on machine vision can be divided into three types: 1. The method based on image processing, that is, the surface image of the conveyor belt is acquired by the camera, and the relevant image processing algorithm is used to realize the elimination of noise and .
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WEBJun 1, 2020 · Computerized coal machine equipment 4. The Key Technology Analysis of Automation Control in Coal Preparation Plant This paper takes a coal plant as an example to analyze the automation control ...
WEBApr 21, 2021 · A simulated annealingsupport vector machine (SASVM) prediction model was proposed to reflect the complex nonlinear mapping between characteristic gases and the coal temperature. The risk degree of CSC was estimated in the time domain, and the model was verified by using in situ data from an actual working face.
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WEBSep 30, 2022 · Usually, coal content in gangue is measured by sampling and the floatsink test; this requires considerable time and effort. Therefore, the coal preparation industry requires a new method to overcome this bottleneck. Machine vision has been widely used in various industrial fields, particularly in the field of parameter detection.
WEBDec 28, 2023 · Monitoring heavy metals (HMs) across source distance and depth distribution near coal mining sites is essential for preventing environmental pollution and health risks. This study investigated the distribution of selected HMs, cadmium (Cd2+), chromium (Cr2+), copper (Cu2+), manganese (Mn2+), nickel (Ni2+), lead (Pb2+), and .
WEBDec 1, 2021 · For earthquake detection, Meier et al. (2019) developed and compared five machine learning methods, including the dense neural network, recurrent neural network (RNN), RNN with attention, deep convolutional neural network (DCNN), and generative adversarial network with random forest (GANRF). The performance of different methods .
WEBNov 15, 2023 · Introduction. Coal gangue covers sulfur elements and heavy metal elements (, Pb, Cr, and Hg) [1]. If coal gangue is mixed with coal and burned together, the utilization rate of raw coal will be reduced, and toxic gases (, CO, SO 2, and H 2 S) will be released, thus seriously jeopardizing human health and the ecological environment .
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WEBFeb 1, 2021 · Coal mine. intelligent monitoring and identifiion system integrates artificial intelligence into coal mine safety. production managem ent, monitors and identifies equipment status and personnel ...
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WEBProximity detection systems promote safer working practices by increasing worker safety awareness and working to modify worker behavior. Proximity detection and collision avoidance systems help prevent machinetomachine collisions and machinetoperson incidents, which enhances safety, improves productivity and increases the efficiency of .
WEBJul 11, 2018 · Detection of coal fire is the premise to make firefighting plan and is of great significance for their efficient and economical extinguishing (Shao et al. 2017; Shao et al. 2014; Shao et al. 2016). Therefore, before attempting to extinguish coal fire, its loion and underground extent should be determined as precisely as possible. Coal fire ...
WEBThe 832 Series of Elemental Determinators are specifically designed to determine the sulfur and carbon content in a wide variety of organic materials such as coal, coke and fuel oils, as well as some inorganic materials such as soils, cements and limestone by high temperature combustion with nondispersive infrared detection (NDIR).
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WEBDec 3, 2021 · Abstract. The article determines the threelevel deviation correction equipment of mine conveyor belt. The experimental results show that the mine conveyor belt deviation detection system based on machine vision can effectively detect the deviation fault and control the deviation correction equipment, which has the advantages .
WEBMar 17, 2022 · Belt T ear Detection for Coal Mining Conveyors Xiaoqiang Guo 1, Xinhua Liu 1, *, Hao Zhou 1,2, Rafal Stanislawski 3, Grzegorz Kr ó lczyk 4 and Zhixiong Li 4
WEBJun 18, 2023 · The work in Jo et al. ( 2019) integrated Arduinobased sensors, IoT, and cloud computing to build a system to monitor the mine environment, control ventilation and establish emergency communiion in an underground mine. This system was installed in the operating Hassan Kishore coal mine, situated in the Mahiwal region of eastern salt .
WEBAug 1, 2021 · This study aims to develop a prediction model using IoT and hybrid CNNLSTM for forecasting underground mine hazards. The forecasting model predicts temperature, humidity, and gases based on the sensors' data collected from underground coal mines (Mardonova and Choi, 2018).The prediction model effectively improves .
WEBMay 23, 2019 · MachineMounted Detectors. According to federal regulations, all coal mining operations are required to have mining detector technology in place that monitors for methane and oxygen levels that may be at dangerously low levels. Because of this, detection equipment is placed on all drilling equipment, and is calibrated specifically to .
WEBNov 2, 2018 · Alongside CMM in coal mines there are other gases such as CO 2 which may disrupt the CMM gas detection process. Therefore the selectivity to CMM gas is an important parameter for sensor using in ...
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WEBMay 31, 2023 · Laserbased online machine vision detection for longitudinal rip of conveyor belt. Optik (Stuttg). (2018) W. Qiao et al. ... Experimental results demonstrate that the coal flow detection accuracy of the proposed method can reach %, and the singleframe image processing time is less than The proposed method is .
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