MONITORING, FAULT GENERATION ON PRACTICAL ELECTRICAL EQUIPMENT SYSTEM APPLYING IoT AND AI TECHNOLOGY

Abstract

Currently, in the process of electrical vocational training at educational institutions in general, and
specifically at the Ha Tinh College of Technology, alongside the traditional method of connecting students with
real devices, digital simulation software is also utilized. They aid learners in better understanding the operations
of devices and the principles of electrical circuitry. However, in reality, there is curently no product on the market
that can meet the requirement of both directly connecting to form an electrical circuit and simultaneously
monitoring, simulating, and creating faults on that device. To address this shortfall, a monitoring and fault
generation system has been developed for practical training devices, employing Internet of Things (IoT) and
Artificial Intelligence (AI) with the aim of integrating traditional devices with modern simulation teachnology.
This system utilizes technologies such as the Internet of Things and Artificial Intelligence to conduct continuous
monitoring, assisting instructors in visually inspecting the circuit connections of students as well as creating
artificial faults on devices. This helps learners familiarize themselves with and practice the skills of identifying
and rectifying those faults. In this article, we present the idea as well as the process of constructing this model,
outlining the positive results obtained when using this model in practical vocational training.