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Chaotic characteristics extraction of coal mine gas emission system via cloud model

机译:基于云模型的煤矿瓦斯排放系统混沌特征提取

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摘要

Coal mine gas emission system is a strong nonlinear chaotic system changing over time and space together with many uncertain factors, how to dig up the chaotic characteristic from the gas emission time series more accurately, which will be of great significance to prevent the gas disasters and accidents. From the perspective of chaotic dynamics, this paper is based on the gas concentration time series in the mine working face with the help of cloud model to simulate the time series data uncertainty analysis, finally calculate the maximum Lyapunov index, preliminarily proves that there is chaotic characteristic in the working face gas emission system.
机译:煤矿瓦斯涌出系统是一个强时空变化的强非线性混沌系统,存在许多不确定因素,如何从瓦斯涌出时间序列中更准确地挖掘出混沌特征,对于预防瓦斯灾害和瓦斯灾害具有重要意义。事故。从混沌动力学的角度出发,本文基于矿山工作面瓦斯浓度时间序列,借助云模型对时间序列数据进行不确定性分析,最后计算出最大的李雅普诺夫指数,初步证明存在混沌工作面气体排放系统的特点。

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