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WhatsApp: +86 18838072829WEBDec 15, 2022 · One of the major coal industry problems is the autooxidation of coal, which leads to fires and humaninduced disasters. This paper aims to use machine learning techniques and the most effective algorithm for preventing fires in mines.
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WhatsApp: +86 18838072829WEBMine fire due to auto oxidation of coal leading to spontaneous combustion of coal is the leading unsolved problem worldwide. Though the exact reasons of selfheating of coal are many and unclear, the accumulated heat generated in exothermic reaction due to continuous interaction of coal with the atmospheric oxygen is the major reason of .
WhatsApp: +86 18838072829WEBDec 15, 2022 · The algorithm proposed in this paper can be used as a new method of predicting fires in coal mines and elaborating a branch of machine learning to establish more effective ways for detecting combustion in its early stages. ... Fire safety in Indian coal mines using machine learning techniques. Int. J. Eng. Adv. Technol., 9 (2020), pp. .
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WhatsApp: +86 18838072829WEBThe Mines Today. From the days of the salt industry until the 1940s, most coal was loaded using hand tools like picks and shovels. Machines were introduced gradually during the early 1900s, allowing miners to load more coal in less time. Mechanization began with undercutting machines around 1900 and advanced to loading machines in the 1920s.
WhatsApp: +86 18838072829WEBAug 4, 2018 · Hence, we propose an online fire prediction system based on machine learning approach in which we used T, CO, CO 2 and O 2 as the feature matrix of input parameters for early detection of fire in underground coal mines. The machine learning approach based fire prediction in underground coal mines is presented in Algorithm 1 .
WhatsApp: +86 18838072829WEBGas explosion has always been an important factor restricting coal mine production safety. The appliion of machine learning techniques in coal mine gas concentration prediction and early warning can effectively prevent gas explosion accidents. Nearly all traditional prediction models use a regression technique to predict gas concentration. Considering .
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WhatsApp: +86 18838072829WEBNov 16, 2022 · Coal mine gas accident is one of the most serious threats in the process of safe coal mine mining, making it important to accurately predict coal mine gas emission. To improve the accuracy of coal mine gas emission prediction, a hybrid machine learning prediction model combining random forest (RF) algorithm, improved gray wolf optimizer .
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