智能制造工程专业在单片机电解温度控制实验课中的教学改革

Teaching Reform of Intelligent Manufacturing Engineering in Micro⁃controller Electrolysis Temperature Control Experiment Course

传统的单片机知识教学涉及的重点内容十分枯燥,学生无法在理论知识讲解中提起兴趣,单片机电解温度控制实验课要求学生凭借人工经验,适当的调整槽内温度,保证金属产品的整体质量。以单片机温度控制系统为基础,模糊神经网络在稀土电解温度控制中应用为实例,探究智能制造工程专业单片机电解温度控制实验课教学改革的主要方向,全面提高教学质量,激发学生的参与兴趣。

The key content involved in traditional teaching of single-chip microcomputer knowl⁃edge is very boring,and students cannot arouse interest in theoretical knowledge explanation.The single-chip microcomputer electrolysis temperature control experimental class requires students to rely on manual experience to adjust the temperature in the tank appropriately,ensuring the overall quality of metal products.This article is based on the temperature control system of single-chip microcontrollers,and takes the application of fuzzy neural networks in rare earth electrolysis tem⁃perature control as an example to explore the main direction of teaching reform in the single-chip microcomputer electrolysis temperature control experimental course of intelligent manufacturing en⁃gineering,comprehensively improve teaching quality,and stimulate students'participation interest.