Many small and mid-sized manufacturers want to explore AI to improve efficiency, reduce waste, or make their processes smarter.

However, this process requires OT and IT knowledge not present in many

industrial companies, mainly SMEs.

Ander Garcia Gangoiti and his team built a micro-service edge architecture based on MQTT, TimescaleDB, Node-Red and Grafana stack to ease the integration of soft AI models into industrial system.

The architecture has been successfully validated controlling the vacuum

generation process of an industrial machine.

Soft AI models applied to real-time data of the machine analyze the vacuum value to decide when the most suitable time is:

⇨ to start the second pump of the machine,

⇨ to finish the process, and

⇨ to stop the process due to the detection of humidity.

Ander is the Director of Data Intelligence for Industry at Vicomtech and I recently sat down with him on the AI in Manufacturing podcast.