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本文分析了铝电解过程的大量实验测温数据,用三角形隶属函数来模糊化输入和输出,得到了根据热电偶升温速度判断体系温度的30条模糊推理规则用“Product-Sum-Gravity”模糊推理方法,根据热点偶两个阶段的升温速率得到体系的温度值,从而实现铝电解温度的模糊模式识别,通过验证,总体识别的平均相对误差为0.37%,表明该模型可以较准确地识别出铝电解过程的温度。
In this paper, we analyze a large number of experimental temperature data in the aluminum electrolysis process and use the membership function of the triangle to fuzzify the input and output. The 30 fuzzy inference rules for determining the temperature of the system according to the temperature rise rate of the thermocouple are obtained by using “Product-Sum-Gravity” Fuzzy reasoning method, the temperature of the system is obtained according to the temperature rise rate of the two stages of the hot spot and the dual stage, so as to realize the fuzzy pattern recognition of the aluminum electrolysis temperature. The average relative error of the overall identification is 0.37%, indicating that the model can be more accurately identified The temperature of the aluminum electrolysis process.