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Research on the Experimental Teaching System of Internet of Things Engineering Under the New Infrastructure Perspective

  • Xiaoyan Zhao,
  • Junna Zhang,
  • Peiyan Yuan

摘要

It is one of the key directions of the new infrastructure to establish an experimental teaching platform for synergy between science and education, thus promoting the construction of intelligent laboratories. As a new engineering major supporting the development of national strategic emerging industries, the experimental teaching of Internet of Things (IoT) engineering is crucial in the process of talent training. However, the existing experimental teaching system is constrained by many factors including funding, location, faculty strength, and network conditions, which make it difficult to implement large-scale and creative IoT experiments, especially process-integrated experiments. This paper focuses on how to build an experimental teaching process and experimental teaching system that meets the needs of the IoT industry and talent training under the new infrastructure perspective. By analysing the IoT curriculum structure and talent demand, the deficiencies of the existing experimental teaching platform are discussed in combination with the school's talent training positioning and the current IoT industry chain situation. Simultaneously, the technical system structure of IoT is set as the main theme to sort out the knowledge points of IoT experimental teaching, and then a virtual simulation platform of IoT experimental teaching is proposed. The practical application on National Cyberspace proves that the proposed experimental platform can meet the needs of basic experiments, engineering practical training, innovation, scientific research assistance, and industrial applications.