Abstract
In recent years, in order to strengthen the supervision of coal mine safety production, the Chinese government has formulated and promulgated a series of laws and regulations. At the same time, it has strengthened safety management and increased investment in coal mine safety, which also reflects that coal enterprises are gradually paying attention to safety production. The purpose of this paper is to study the coal mine safety risk intelligent management and control and information decision analysis system. This article is to build a safety production early warning system, analyze the risk sources of safety production in different time and space and environmental dimensions, cut the coal mine production system into independent evaluation elements, and overcome the natural environment and the variability, complexity and complexity of the natural environment and risk factors faced by coal mine production. Based on the network evaluation elements, the main factors of coal mine safety production risk are summarized, combined with qualitative and quantitative methods to determine the weights, and the coal mine safety production risk evaluation index system is constructed. This article has tested the system three times and found that the test result is consistent with the actual situation on site.
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References
Chen, J., et al.: Analysis of mine safety performance evaluation law based on matter-element analysis and rough set of concept lattice reduction. IEEE Access PP(99), 1 (2021)
Reed, G., et al.: An assessment of coal pillar system stability criteria based on a mechanistic evaluation of the interaction between coal pillars and the overburden. Int. J. Mining Sci. Technol. 1(27), 11–17 (2017)
Mathey, M.: Modelling coal pillar stability from mine survey plans in a geographic information system. J. South. Afr. Inst. Mining Metall. 118(2), 157–164 (2018)
Mu, W, et al.: Using numerical simulation for the prediction of mine dewatering from a karst water system underlying the coal seam in the Yuxian Basin, Northern China. Environ. Earth Sci. 77(5), 215.1–215.19 (2018)
Taylor, K.: Arch closing in on permit for met coal mine expansion, but decision not made yet. SNL Energy Coal Rep. 14(7), 8–9 (2018)
Wang, Y.: Prediction of rockburst risk in coal mines based on a locally weighted C4.5 algorithm. IEEE Access PP(99), 1 (2021)
Xu, J., Sun, C.: The design of coal mine water disasters prevention and control assistance decision system. IOP Conf. Ser. Earth Environ. Sci. 450(1), 012051 (5pp) (2020)
Chen, W., Wang, X.: Coal mine safety intelligent monitoring based on wireless sensor network. IEEE Sens. J. PP(99), 1 (2020)
Wang, K., et al.: Roof pressure prediction in coal mine based on grey neural network. IEEE Access PP(99), 1 (2020)
Oliveira, W.D., et al. Power system security assessment for multiple contingencies using multiway decision tree. Electr. Power Syst. Res. 148, 264–272 (2017)
Loiselle, M.E.: The penholder system and the rule of law in the security council decision-making: setback or improvement? Leiden J. Int. Law 33(1), 1–18 (2019)
Ferjani, A., Mann, S., Zimmermann, A.: An evaluation of Swiss agriculture’s contribution to food security with decision support system for food security strategy. Br. Food J. 120(9), 2116–2128 (2018)
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Wang, X. (2022). Coal Mine Safety Risk Intelligent Control and Information Decision Analysis System. In: Sugumaran, V., Sreedevi, A.G., Xu , Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 138. Springer, Cham. https://doi.org/10.1007/978-3-031-05484-6_6
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DOI: https://doi.org/10.1007/978-3-031-05484-6_6
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