Development of a Real-Time HMI Training System Using Shihlin EC205-CT0A and Raspberry Pi for Industrial Automation Education

Abstract

This paper presents the development of a Human Machine Interface (HMI) training system and operation manual using the Shihlin EC205-CT0A model for industrial automation education. The developed system enables communication between the HMI, Programmable Logic Controller (PLC), and Raspberry Pi 3 through serial communication and real-time data transmission using WebSocket technology. The methodology includes hardware analysis, communication frame analysis, graphical interface design on the HMI platform, and the development of three instructional modules with laboratory exercises. The experimental group consisted of 12 students from the Industrial Computer Technology program. The results showed that students with prior industrial electrical technology experience improved their average scores from 33.80% to 70.75%, while students without prior experience improved from 21.70% to 50.94%. In addition, the satisfaction assessment results indicated a high to highest level of satisfaction toward the developed training system. The findings demonstrate that the proposed HMI training platform can effectively enhance industrial automation skills and improve learning performance in industrial automation education.