Application of Internet of Things Technology in Electrical Engineering Automation Training System in Higher Education
Abstract
students' practical skills. Through systematic research on the application principles and strategies of IoT technology in this training system,
we establish a framework guided by the principles of "security-first, scenario adaptation, and requirement alignment, " complemented by a
strategic roadmap featuring "sensor node integration, data module construction, and remote platform development." This approach effectively
addresses the limitations of traditional training methods, ensures data security and instructional adaptability, enhances real-time performance
and coverage, and provides robust support for the digital transformation of university training systems.
Keywords
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DOI: http://dx.doi.org/10.70711/aitr.v3i4.8202
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