Construction of an Intelligent Quality Teaching Platform System Integrating VR, Cloud, and IoT Technologies
Year: 2025
Type: article
Abstract: In the context of economic globalization, information technology has become the mainstream of development. As a new type of technology applied to education and teaching platforms, it has received widespread attention. The competition for talents is very fierce. In this era, people have higher requirements for information technology. Therefore, cultivating high-quality talents has become the top priority for the development of all walks of life. This paper analyzes the quality teaching platform for crane safety systems by integrating virtual reality (VR), cloud platforms, and Internet of Things (IoT) technologies. This paper introduces the quality teaching platform system based on VR technology, puts forward the problems faced by the new model of interactive client development, combines the characteristics of the course design, constructs a new engineering talent training plan, conducts a specific modular design, and establishes a data warehouse based on the cloud environment model. This paper finally compares the performance through experimental testing. Experimental data show that when the number of concurrency exceeds 3200, it takes more than 3[Formula: see text]s; when the number of concurrency is 6400, it takes 3.5[Formula: see text]s, and the accuracy is only 0.9.
Authors: Yang Gao, Yun Liu
Institution: Sichuan Police College
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409798290