Large volumes of machine and process data make it difficult to continuously monitor operations and manually identify critical deviations. Without automated support, anomalies or critical combinations of operating conditions may remain unnoticed, delaying reactions and increasing waste and downtime.
Condition Monitoring in atmos.io transforms raw production data into actionable alerts and automated responses.
Users can define custom if‑then conditions and thresholds for KPIs or tracked values. When limits are exceeded or complex condition combinations occur, real‑time notifications are sent to managers and operators.
The solution monitors all assets connected to the platform and supports fully customizable rules across machines and production areas. Data from multiple sources—such as winders and related process parameters—can be combined to create advanced conditions, benchmarks, and comparisons (e.g. winders producing the same product).
Condition Monitoring also integrates seamlessly with dashboards, historical reports, and apps, enabling both real‑time control and long‑term performance analysis.
Example:
Spinning pump pressure exceeds 100 PSI → maintenance workflow is triggered → operator is notified and guided through corrective actions.