Elise PEGAZ TOQUET

This internship involved the development of a data collector using Python on an Industrial PC (IPC). The data were then sent to the cloud using a combination of protocols such as MQTT, HTTP, and OPC UA, leveraging tools like Python and node-RED. Additionally, dashboards displaying the collected data were created using Power BI. To ensure the effectiveness of the solution, two software companies were involved in comparing and evaluating the different solutions implemented. I also worked with Siemens PLCs.

Criticality study aimed at improving the performance of a key axis. This involved processing and analyzing data based on feedback from workers. As part of this internship, I also used Power BI to organize and visualize data related to the pole's missions. Additionally, I conducted a fiber optic study to develop a verification procedure for agents. The internship also included a detailed exploration of the rail network and its operations, with the opportunity to learn directly from experts in the field.