Turns time-based line data into data per pane or batch.
To learn from your production data, time-based hardware data must first become product data: which pane, which batch has seen what power. EulenCoat serves exactly this purpose: it describes your coater — every element at its position in millimetres, the transport speed, what the machine can already export. With that description, time-based coater exports and spectral measurements at their positions come together on the same pane or batch — exactly the view EulenLearn works on.
It starts from what you already have. If your systems already deliver data per pane or batch, you do not need EulenCoat: we connect to the software or database you can provide — then a hardware change lives in your system alone, never maintained twice. Where no import is possible, EulenCoat is the surface where your team maintains the coater itself: several coaters, several configurations per coater, updated whenever hardware is replaced — so you never depend on our services and never have to share coater data.
You get your coater, described onceelements at their positions in mmdata per pane or batch, not per timestamp
Flows to → EulenLearn which pane or batch saw what power