融入电力特色的机器视觉课程教学研究  

作　　者：李新利[1] 王武 陈佳序 杨国田[1] 

机构地区：[1]华北电力大学控制与计算机工程学院,北京102206

出　　处：《高教学刊》2025年第4期125-128,共4页Journal of Higher Education

基　　金：2021年教育部产学研协同育人-教学内容和课程体系改革项目“计算机视觉课程教学改革”(202102015012);华北电力大学2023年校级教学研究与改革项目“机器人工程专业核心课程理论与实践开放共融递进式教学体系研究”(JS2023014)。

摘　　要：机器视觉是机器人决策的重要基础,作为机器人工程专业的专业必修课程,主要培养学生视觉处理、三维构建的能力。该文结合电力学科特色,将机器视觉在发电、输电、变电等不同电力相关环节中的科研成果融合到教学内容中,并针对课程的基础原理和综合应用设计典型教学案例,实现翻转课堂。把电力特色内容融入课程中,不仅给学生直观演示算法原理,还能深刻了解机器视觉在电力场景下的实际应用,对提升学生的感性认识、实践能力和创新思维具有重要意义。Machine vision is an important foundation for robot decision-making.As a compulsory course for robotics engineering majors,it mainly cultivates students'abilities in visual processing and three-dimensional construction.Combining the characteristics of the electric power discipline,the scientific research achievements of machine vision in different power processes,such as electric power generation,power transmission,power transformation,are integrated into the teaching content,and the typical teaching cases based on the basic principles and comprehensive applications are designed,and the flipped classroom is implemented.For integrating the electric power characteristics into the machine vision course,it not only provides students with a visual demonstration of algorithm principles,but also deeply understands the practical application of machine vision in power scenarios.It is of great significance to enhance students'perceptual understanding,practical ability,and innovative thinking.

关 键 词：机器视觉 机器人工程 电力特色 教学案例 翻转课堂 

分 类 号：G642[文化科学—高等教育学]