SAIPEDES is a fictional industrial automation and digital twin brand.
SAIPEDES is an industrial digital twin demonstration brand built around a fictional factory.
The same workshop supplies the setting for spatial layouts, equipment records and operating signals. Each asset and event was designed for readers who want to practice observing a production system and explaining what they see.
Identify where a measurement came from before asking what it means.
The most important context for a number is its asset, unit and time window. We design around the ability to distinguish an observation from a working hypothesis and to name what someone on the floor would need to check.
A browser-based simulation links positions in a workshop to equipment identities and example measurements.
Fictional assets make the relationships easy to explore. For a production deployment, the equipment identity, signal quality, sampling period and boundaries of the monitored system would each need independent validation.
We are exploring shift comparisons, event reconstruction and clearer handover narratives.
We want to find out how few view changes it takes to explain a stop and whether two different roles can continue an investigation from the same record. These questions guide exploration. Available features and timing are reflected in each actual release.