Define Condition-Based CapsulesGathering Interest
There is a clear need for a native way to organize and classify time‑series data into reusable, condition‑based time segments (“capsules”) representing distinct operating states or events.Capsules enable users to define such periods based on signals, logic, or events (for example when a valve is open, a pump is running, a compressor is loaded, a system is in start‑up, or production is above a given threshold), and then apply analysis consistently within those time windows.This functionality is missing in Cognite Data Fusion, making it difficult to perform structured, state‑aware analysis without repeatedly rebuilding filters or custom logic. The problem occurs frequently during process optimization, production and injection accounting, energy and mass balance calculations, equipment performance analysis, and troubleshooting, where engineers need to calculate KPIs such as integrated flow, average efficiency, chemical consumption, or loss rates only during relevant operating conditions.W