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Internship on  Industrial IoT Sensor Node Development using ARM MCU (STM32F446RE) with APSCHE and PHYTEC

Unlock the potential of Industrial IoT with the APSCHE and PHYTEC internship focused on sensor node development using ARM-based microcontrollers.

Duration: 240 Hours

Detailed Course Content

Module 1: Introduction to Industrial IoT (10 Hours) 1. Overview of Industrial IoT (IIoT) • IIoT applications and use cases in manufacturing, energy, and healthcare. • IIoT architecture: Sensing, Edge, Communication, and Cloud. 2. Basics of embedded systems and role of MCUs in IIoT. 3. Introduction to STM32 microcontrollers and ARM Cortex-M architecture.

Module 2: STM32F446RE Architecture and Development Environment (30 Hours) 1.STM32F446RE Features and Architecture: • Core features: ARM Cortex-M4, peripherals, clock systems, low-power modes. • Memory organization: Flash, SRAM, DMA, and bus systems. 2. Development Tools: • Setting up STM32CubeIDE. • Introduction to STM32CubeMX for code generation. • Debugging using ST-Link and GDB. 3 Hands-on Lab: • Setting up and flashing "Hello World" on STM32F446RE. • GPIO basics and LED control.

Module 3: Sensors and Interfacing (50 Hours) 1. Overview of Industrial Sensors: • Types: Temperature, pressure, humidity, proximity, and vibration. • Communication protocols: I2C, SPI, UART, ADC, and PWM. 2. Sensor Interfacing with STM32F446RE: • Analog and digital sensor interfacing. • Working with temperature (e.g., LM35) and humidity sensors (e.g., DHT11/DHT22). • Accelerometers and gyroscopes (e.g., MPU6050). 3. Hands-on Lab: • Capturing and processing analog/digital sensor data. • Developing reusable HAL (Hardware Abstraction Layer) drivers for sensors.

Module 4: Wireless Communication Protocols (50 Hours) 1. Overview of Communication Technologies: • Short-range: Bluetooth Low Energy (BLE), Wi-Fi, Zigbee. • Long-range: LoRaWAN, NB-IoT, and LTE-M. 2.Integrating Wireless Modules: • BLE (e.g., HC-05/NRF24L01). • Wi-Fi (e.g., ESP8266/ESP32). • LoRa (e.g., SX1276). 3. Hands-on Lab: • Configuring STM32 for UART-based communication with wireless modules. • Sending sensor data wirelessly to a gateway.

Module 5: Real-Time Operating System (RTOS) for IIoT (40 Hours) 1.Introduction to FreeRTOS: • Task scheduling, queues, semaphores, and timers. • Memory management in RTOS. 2. Real-Time Applications: • Multi-threading for sensor data acquisition and communication. • Implementing low-power modes in RTOS. 3. Hands-on Lab: • Building an RTOS-based IIoT node application using FreeRTOS.

Module 6: Cloud Integration and Security (30 Hours) 1. Introduction to Cloud Platforms: • IoT cloud platforms (AWS IoT Core, Azure IoT Hub, Google IoT Core). • MQTT protocol for IIoT communication. 2. Data Transfer to Cloud: • Interfacing STM32F446RE with MQTT broker. • Hands-on with HTTP/REST APIs for cloud communication. 3. Security in IIoT: • Data encryption (AES, RSA). • Secure bootloader implementation for STM32.

Module 7: End-to-End Project Development (30 Hours) 1. Conceptualizing an Industrial IoT Sensor Node: • Problem identification and solution design. • Selecting sensors and communication protocols. 2. Prototyping and Testing: • Building a complete sensor node with STM32F446RE. • Testing the node for reliability and performance. 3.Deployment: • Setting up cloud integration for real-time monitoring. • Demonstration of the project.

Deliverables 1. Hands-on Projects: • Sensor data acquisition and cloud upload. • RTOS-based multi-threaded IIoT node. • Low-power IIoT device prototype with BLE/LoRa communication. 2. Tools and Resources Provided: • STM32F446RE Nucleo Board. • Sensors (temperature, humidity, accelerometer). • Wireless modules (BLE, LoRa). • Development software (STM32CubeIDE, STM32CubeMX, FreeRTOS).

Outcomes By the end of this course, participants will be able to: • Design and program Industrial IoT sensor nodes using STM32F446RE. • Interface various sensors and communication modules. • Implement real-time, low-power, and cloud-integrated IIoT solutions.

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