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为揭示硫化矿石非稳态自热过程的非线性动力学特征,以从某硫铁矿采集的9种硫化矿石样品为实验材料,开展室内矿石自热特性实验。采用集成小波变换、非线性特征参数提取和模糊综合评判等方法对实测温度数据进行研究。结果表明:仅矿样1、2、6和9出现明显自热,自热起始温度分别为220、239、220和220°C,在正常采矿条件下矿石不易产生自热;矿样自热过程的关联维数均为分数,最大Lyapunov指数均大于0,验证了基于混沌动力学理论研究自热过程的可行性;矿样自热过程的非线性度分别为0.8227、0.7521、0.9401和0.8827,排序依次为矿样6、矿样9、矿样1、矿样2,与自热特性测定结果一致。因此,可采用非线性度方法来评价硫化矿石自热倾向性,该方法可对实测结果的可靠性进行有效验证。
In order to reveal the nonlinear dynamic characteristics of the unsteady self-heating process of sulfide ores, nine kinds of sulfide ore samples collected from a pyrite were used as experimental materials to carry out self-heating experiments of indoor ores. Using integrated wavelet transform, nonlinear characteristic parameter extraction and fuzzy comprehensive evaluation methods to study the measured temperature data. The results show that only the samples 1, 2, 6 and 9 show obvious self-heating and their self-heating onset temperatures are 220, 239, 220 and 220 ° C, respectively. Under normal mining conditions, The correlation dimension of the process is a fraction and the largest Lyapunov exponent is greater than 0, which verifies the feasibility of studying the self-heating process based on chaos dynamics theory. The nonlinearity of the self-heating process is 0.8227,0.7521,0.9401 and 0.8827, The order is mineral sample 6, mineral sample 9, mineral sample 1, mineral sample 2, consistent with the determination of self-heating properties. Therefore, the non-linearity method can be used to evaluate the self-heating tendency of sulfide ores. This method can effectively verify the reliability of the measured results.