Abstract:

This work advances educational methodologies by integrating critical systems assessment with open-source tools within the realm of logistics. Through this initiative, significant strides have been made in enhancing our understanding and practical application of complex systems, offering valuable insights into their optimization and management. It serves as a catalyst for future research and development in educational practices, advocating for a more hands-on, experiential approach to comprehending intricate systems. It underscores the paramount importance of collaborative efforts and the ongoing evolution of educational tools to address the evolving challenges of modern industry. It presents a Radio-Frequency Identification (RFID) traceability platform featuring low-cost, open-source Internet of Things (IoT) node, intentionally designed with educational applications in mind. The proposed IoT node is meticulously crafted to efficiently handle data aggregation and transmission requirements, while its architecture adopts a modular approach, boasting modularity both at the hardware level, with its distinct physical constituent modules, and at the behavioral level, which encompasses operational conceptual modules. What sets our implemented IoT node apart is its transformative potential within the educational landscape. By serving as an accessible and versatile tool, it empowers learners to explore the realms of traceability and IoT technology. This platform opens up exciting possibilities for e-identification applications, enabling users to record critical traceability parameters and product-related information effortlessly. The open-source movement has fostered the use of open-source licenses, leading to a proliferation of open-hardware microcontroller-based platforms. The choice of platform hinges on specific system requirements, encompassing factors like power consumption, cost, and connectivity. Among the open hardware platforms, the Arduino MKR WiFi 1010 is chosen to be incorporated. This decision is driven by the educational aim to demonstrate the practical application of open hardware platforms in creating an edge node for our project. Choosing the appropriate protocol is crucial for secure and efficient communication between devices and the network it is essential to consider compatibility with low-power devices, thus HTTP is our preferred choice due to its reliability and extensive status codes meeting both educational and technical requirements. To illustrate the platform's real-world utility, we showcase its application in the logistics domain. This demonstration underscores the practical implications of our educational traceability platform, highlighting its adaptability and relevance within various educational contexts. Through this initiative, we aim to inspire and equip the next generation of innovators and learners with the skills and knowledge needed to navigate the intricacies of IoT and traceability, ultimately fostering a more technologically proficient workforce and a brighter future for all.

Keywords:

Open-source Hardware, Didactic Internet of Things (IoT) platform, RFID technology, traceability.