Embedded Systems for Industry 4.0

Embedded Systems for Industry 4.0

Course Overview: Modern C++20 & Advanced Algorithms

In the era of Industry 4.0, the efficiency of firmware defines the success of a production line. This course bridges the gap between theoretical computer science and real-world hardware constraints.

What You Will Learn

  • Modern Tooling: Configuring ESP32 with C++20 and Over-The-Air (OTA) updates.
  • Resource-Aware Algorithms: Sorting and searching optimized for limited RAM.
  • Industrial Signal Processing: Implementing EMA and Kalman filters to combat electrical noise.
  • Motion Control: PID algorithms for precise robotics and automation.

Curriculum at a Glance

  1. The Digital Twin Setup: C++20, PlatformIO, and Wireless Debugging.
  2. Memory Safety: Stack vs. Heap and Circular Buffers.
  3. Industrial Sorting: Resource-aware algorithms for data priority.
  4. Fast Lookup: Binary search in calibration tables.
  5. Data Filtering: EMA & Kalman filters for noisy environments.
  6. Motion Control: Implementing PID for Stepper Motors.
  7. IIoT Interconnectivity: Secure MQTT and JSON serialization.
  8. The Smart Node: Integrating everything with FreeRTOS.

Support this Research: Access to full code samples and PlatformIO templates is available for my GitHub Sponsors.

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