关键词: 矿山事故, 时间序列, 分形, 相空间重构, Kolmogorov熵

Abstract: Mining belongs to high-risk industries. Its accident causes and evolution mechanism are very complex and the fractal theory has made it possible to solve these complex problems. It is found through the study on the time series of the mine accidents in China in recent years that the mine accident time series has evident fractal characteristics, and its steady correlative dimension is 6.390, indicating that at least 6 state variables are needed in describing the change characteristics of mine accidents and in constructing a dynamic system. The Kolmogorov entropy of the mine accident time series is approximately 0.058 6，indicating  that the mine accident dynamic system is chaotic and its average forecastable time scale is about 17 months. The study results can be used as the basis for constructing the forecast model of mine accidents time series. Mine accidents|Time series|Fractal dimension|Reconstruction of phase space|Kolmogorov entropy

Key words: Mine accidents, Time series, Fractal dimension, Reconstruction of phase space, Kolmogorov entropy