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Prediction of Coal Mine Accidental Deaths for 5 Years Based on 14 Years Data Analysis

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Proceedings of the 9th International Conference on Computer Engineering and Networks

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1143))

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Abstract

The situation of coal mine safety production is grim, in order to emphasize the importance of miners’ safety, this paper predicted the death toll of China over the next five years. The death toll of 2005–2018 was logarithmically calculated and analyzed by the linear regression model, then, using the least square method to find its regression coefficient, and the regression equation is established by using the obtained regression coefficients. The death toll was predicted using the derived regression equation: Over time, the number of deaths among coal miners has fallen proportionately from year to year, and the prediction curve conforms to the existing law of death. In error analysis, seven regression evaluation indexes are used to evaluate this regression model, and the results show that the model is feasible.

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Acknowledgments

Thanks to Xin Luo for his computation and draft paper-writing, thanks to Professor Yuhui Shi from SUST for his help, thanks to CCTEG Changzhou Research Institute verify data.

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Correspondence to Tong Xu .

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Zou, Y.J. et al. (2021). Prediction of Coal Mine Accidental Deaths for 5 Years Based on 14 Years Data Analysis. In: Liu, Q., Liu, X., Li, L., Zhou, H., Zhao, HH. (eds) Proceedings of the 9th International Conference on Computer Engineering and Networks . Advances in Intelligent Systems and Computing, vol 1143. Springer, Singapore. https://doi.org/10.1007/978-981-15-3753-0_27

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