Abstract
In order to improve the risk management and control ability, this paper studies coal mine risk management technology and big data platforms. First, BP neural network was optimized through data mining, and correction parameter technology. Based on this, a coal mine risk data prediction model was constructed. Then, combined with the control chart analysis, the coal mine risk early prevention method was proposed. At last, a big data platform to manage coal mine risk was developed. The results of this paper provide implementation methods and tools for coal mine risk management and control, and have reference significance for other enterprises.
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