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Related Experiment Videos

Interactive and Visualized Online Experimentation System for Engineering Education and Research.

Zhongcheng Lei1, Hong Zhou1, Shengwang Ye1

  • 1Department of Artificial Intelligence and Automation, Wuhan University.

Journal of Visualized Experiments : Jove
|December 13, 2021
PubMed
Summary

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This study introduces visualized online laboratories for engineering education, enabling interactive virtual experiments and real-time control algorithm testing. These platforms enhance learning and research through customizable interfaces and 3-D virtual test rigs.

Area of Science:

  • Engineering Education
  • Online Laboratories
  • Virtual Experimentation

Background:

  • Experimentation is fundamental to engineering education.
  • Online platforms offer new avenues for teaching and research.
  • Visualized and interactive tools can enhance the learning experience.

Purpose of the Study:

  • To explore the use of visualized experiments in online laboratories.
  • To present interactive and visualizing features for engineering education.
  • To demonstrate the application of online laboratories in teaching, learning, and research.

Main Methods:

  • Development of an online laboratory with interactive and visualizing features.
  • Implementation of theory-guided algorithm implementation and web-based algorithm design.

Related Experiment Videos

  • Integration of a customizable monitoring interface and three-dimensional (3-D) virtual test rigs.
  • Main Results:

    • Demonstration of first-order system exploration using a circuit-based system.
    • Web-based control algorithm design for virtual and remote experimentation.
    • Capability for both simulations and real-time experiments using user-designed control algorithms.

    Conclusions:

    • The proposed online laboratory supports diverse educational and research needs.
    • Customizable interfaces and virtual test rigs enhance user engagement.
    • The system facilitates online demonstrations, after-class experimentation, and control strategy verification.