详细信息
Reform of experimental teaching by integrating virtual simulation and remote control ( EI收录)
文献类型:会议论文
英文题名:Reform of experimental teaching by integrating virtual simulation and remote control
作者:Hu, Wenhua[1,2]; He, Yuncheng[3]; Li, Jing[4]; Chen, Wei[1,2]; Wu, Ruiqin[1,2]
第一作者:Hu, Wenhua
机构:[1] Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, China; [2] National Demonstration Center for Experimental Mechanical and Electrical Engineering Education, Tianjin University of Technology, China; [3] Research Center for Wind Engineering and Engineering Vibration, Guangzhou University, China; [4] Smart City College, Beijing Union University, China
第一机构:Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, China
通讯机构:[1]Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, China
会议论文集:ICDEL 2023 - 2023 the 8th International Conference on Distance Education and Learning
会议日期:June 9, 2023 - June 12, 2023
会议地点:Beijing, China
语种:英文
外文关键词:E-learning - Image recognition - Students - Virtual reality
摘要:Remote online experimental system is the inevitable trend of experimental teaching in the future. Compared with the traditional offline experimental mode, the online experimental system has better operability and more intuitive teaching significance. It can carry out experiments anytime and anywhere without many actual environmental restrictions, saving the time of teachers and students. The number of students in an online class is far more than the number of offline experiments, which can improve teachers' teaching efficiency and teaching quality. This paper will start from an experimental example, design the simulation system based on Automation Studio (AS) and build the actual system based on WS290 hydraulic experimental rig, and then design the image recognition remote control program, and let users achieve the purpose of experimental teaching and control through the program. ? 2023 ACM.
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