Duration 5 days – 35 hrs
Overview
This hands-on training course is designed specifically for engineering teams aiming to build in-house Industrial IoT (IIoT) solutions for smart factories. Tailored for SIIX’s automation and testing environment, the program focuses on the development and integration of IoT-based sensor systems—such as temperature and humidity monitoring—into manufacturing equipment like FCT, ICT, Terminal Detectors, and Auto Label Machines. Participants will learn how to design, prototype, and deploy IoT devices, interface with machines, collect and analyze data, and build systems that improve factory automation, traceability, and real-time monitoring.
Objectives
- Understand the architecture of Industrial IoT (IIoT) systems in smart factories
- Develop custom sensor-based IoT devices (e.g., temperature and humidity monitoring)
- Interface IoT systems with factory equipment (FCT, ICT, Auto Label, Terminal Detectors)
- Use microcontrollers (e.g., ESP32/Arduino) and sensor modules effectively
- Implement communication protocols (e.g., MQTT, Modbus, HTTP) for data transmission
- Connect devices to dashboards or cloud platforms for real-time monitoring
- Ensure traceability, data logging, and automation of machine feedback
Audience
- SIIX engineers and technicians involved in factory automation and machine development
- Electrical, electronics, and mechanical engineers
- Industrial system integrators and testers
- Smart factory and production line specialists
Pre- requisites
- Basic knowledge of electronics and electrical systems
- Familiarity with production/testing equipment operations
- Some experience in programming (preferably C or Python)
Course Content
Module 1: Introduction to Industrial IoT and Smart Factory Systems
- What is IIoT?
- Use cases: Predictive maintenance, remote monitoring, automation
- Overview of SIIX equipment (FCT, ICT, Terminal Detectors, Auto Label Machines)
Module 2: IoT Hardware Components and Microcontrollers
- Overview: Microcontrollers (ESP32, Arduino, STM32)
- Power and performance considerations for industrial use
- Setting up development tools and environments
Module 3: Sensor Integration and Signal Processing
- Working with temperature and humidity sensors (e.g., DHT22, SHT31)
- Interfacing pressure, vibration, and proximity sensors
- Filtering, signal conditioning, and calibration
Module 4: Industrial Communication Protocols
- Serial communication (UART, I2C, SPI)
- Introduction to Modbus RTU/TCP for machine interfacing
- MQTT/HTTP protocols for factory dashboards/cloud
Module 5: Data Collection, Storage, and Visualization
- Storing data locally (SD cards, EEPROM)
- Sending data to cloud platforms (ThingSpeak, Node-RED, AWS IoT)
- Displaying real-time sensor data via dashboards and web interfaces
Module 6: System Integration with Factory Equipment
- Triggering/testing FCT/ICT machines using sensor data
- Labeling automation based on IoT feedback
- Designing logic for machine feedback and alarms
Module 7: IoT Security, Maintenance, and Reliability
- Power protection and noise reduction in factory environments
- Security for sensor data and network communication
- Maintenance, error logging, and watchdog timers
Module 8: Final Project – Smart Factory Sensor IoT Prototype
- Participants build a working temperature & humidity IoT system
- Interface with sample terminal or test machine
- Present and test final prototype in factory context
