Digital Lab Training Module for Raspberry Pi

Digital Lab Training Module for Raspberry Pi

1. Digital Lab Training Modules Overview of Basic, Intermediate, Advanced, Specialized, and Project-Based Modules

2. Basic Modules: Introduction to Industrial Automation Overview of industrial automation systems. Basic components and their functions.

3. Basic Modules: Getting Started with Raspberry Pi Setting up the Raspberry Pi. Basic Linux commands and Raspberry Pi OS.

4. Basic Modules: Introduction to Arduino Basics of Arduino programming. Connecting and reading from sensors.

5. Intermediate Modules: PLC Programming with OpenPLC Introduction to PLC programming. Writing basic ladder logic programs. Deploying PLC programs to OpenPLC.

6. Intermediate Modules: Master-Slave Communication Setting up master-slave communication between Raspberry Pi and Arduino. Implementing data exchange protocols.

7. Intermediate Modules: Sensor Integration Connecting various sensors (temperature, humidity, light, etc.) to Arduino. Reading and processing sensor data.

8. Intermediate Modules: Actuator Control Controlling motors and other actuators with Arduino. Implementing PWM for motor speed control.

9. Advanced Modules: MQTT Communication Setting up an MQTT broker. Publishing and subscribing to MQTT topics. Integrating MQTT with sensor and actuator data.

10. Advanced Modules: Data Monitoring with Grafana Setting up Grafana dashboards. Visualizing real-time data from sensors. Configuring alerts and notifications.

11. Advanced Modules: Edge Computing Implementing local data processing on the Raspberry Pi. Using edge computing for real-time decision making.

12. Advanced Modules: Security in Industrial Automation Implementing VPN and secure communication. Setting up firewalls and intrusion detection systems. Best practices for securing IoT devices.

13. Specialized Modules: Predictive Maintenance Using sensor data for predictive maintenance. Implementing basic machine learning models for anomaly detection.

14. Specialized Modules: Energy Management Monitoring and optimizing energy usage in industrial systems. Implementing energy-saving algorithms.

15. Specialized Modules: Quality Control Using sensors and automation for quality control in manufacturing. Implementing feedback loops for automated quality assurance.

16. Project-Based Modules: Automated Assembly Line Simulation Designing and simulating an automated assembly line. Integrating various sensors and actuators for process control.

17. Project-Based Modules: Smart Home Automation Creating a smart home system with automated lighting, temperature control, and security. Using MQTT and Grafana for monitoring and control.

18. Project-Based Modules: Remote Monitoring and Control Setting up remote access to the digital lab. Implementing remote monitoring and control of industrial processes.

19. Project-Based Modules: IoT-Based Inventory Management Developing an IoT system for real-time inventory tracking. Integrating RFID or barcode scanners with the digital lab setup.