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优化间歇式本体法生产聚丙烯工艺对提高产品质量和降低生产能耗具有重要的意义。利用小波多尺度分析功能研究一家大型液相小本体法生产工艺的升温曲线,通过对其进行去噪、重构、分解得到更真实的升温曲线,并对信号的近似和细节部分进行区分,确定各频带的信号形式和发生时间,结合液相本体法的工艺,分析各层信号与实际聚合工艺之间的关系。运用MATLAB软件中的小波分解系数灰度图来确定信号的能量的分布,验证各层信号特征与聚合过程工艺之间的对应关系,为下一步实现工艺优化提供理论基础。
The optimization of batch-process polypropylene production process is of great significance to improve product quality and reduce production energy consumption. Using wavelet multi-scale analysis function to study the heating curve of a large-scale liquid-phase small-body method, through denoising, reconstructing and decomposing it, a more realistic heating curve is obtained, and the approximation and details of the signal are distinguished The signal forms and the occurrence time of each frequency band are combined with the process of the liquid body method to analyze the relationship between the signal of each layer and the actual polymerization process. The distribution of signal energy is determined by using the wavelet decomposition coefficient grayscale in MATLAB software to verify the correspondence between the signal characteristics of each layer and the process of polymerization process and provide the theoretical basis for the next process optimization.