A PhD research system connecting live, IoT-enabled robotic manufacturing to a SQL database — giving researchers a real-time window into a process that used to be a black box.
Wire arc additive manufacturing generates enormous amounts of live sensor data, but there was no structured way to store, query, or visualize it while a build was in progress.
An information model connects robotic IoT sensors directly to a SQL database
A command center handles real-time data visualization, sorting, and filtering
Read/write workflows adapt as the manufacturing process runs, not just after it finishes