PC-Based Control Trainer • ET-012

Training Contents:
Chapter 1 Introduction to PC-Based Practice Equipment
Chapter 2 PCCT-1000 Hardware Architecture
Chapter 3 Raspberry Pi System Practice Environment Construction
Chapter 4 Installing and Running Node-RED Program
Chapter 5 Understanding Node-RED Programming
Chapter 6 Buzzer Control Node Red Programming Practice
Chapter 7 DC Fan Control Node Red Programming Practice
Chapter 8 LED Control NodeRed Programming Practice?
Chapter 9 LED Open/Clear Programming Practice Using Sensors
Chapter 10 Temperature Control Node RED Program Practice
Chapter 11 DC Motor Control Node Red Program Practice
Chapter 12 Position Control Programming Practice Using Servo Motor
Chapter 13 Conveyor Device Manual Control Programming Practice
Chapter 14 Conveyor Device Automatic Control Programming Practice
Chapter 15 Conveyor Device Application Control Programming Practice
Chapter 16 Conveyor Device Comprehensive Management and Remote Control Programming Practice

Description

Features:
1. Acquire the skills to use the Raspberry Pi 4, a small computer
2. PC-based sensor and actuator control practice
3. Using the drag-and-drop Node-RED program
4. Automated sensor and conveyor belt integrated automation control practice
5. Smart factory, Robot control, Smart farm, Smart Barn application possible
6. 13-inch monitor is provided, so you can practice without additional equipment
7. Operation control practice for each system module is possible
8. Small and lightweight bag-type practice equipment

Functions:
1. Control programming practice using Raspberry Pi 4
2. Acquire Node-RED programming skills (Visual display)
3. Node-RED sensor and actuator device control practice
4. Temperature sensor, fiber sensor, proximity sensor practice
5. DC fan, LED, DC motor, server motor, conveyor belt control practice
6. Temperature control, position control, speed control, ventilation control practice
7. Practice for overall control of product supply, processing, quality judgment, and emission
8. It is possible to visually observe and understand the control behavior
9. Practice of passive, active, and applied control of conveyor belt
10. Remote real-time monitoring and control using a mobile phone is possible

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