Automatic sensor-based alerts for continuous event monitoring

Automatic alerts based on sensor data allow you to continuously detect when a relevant condition starts, evolves, and ends — without relying on manual monitoring.

In many operational scenarios, knowing that a threshold has been exceeded is not enough. What really matters is understanding how a condition behaves over time: when it started, how long it persisted, and when it is no longer relevant. With that in mind, we developed a feature that makes sensor-based monitoring more active and reliable.

With this update, every incoming reading is continuously evaluated based on configured rules. At regular intervals, the system analyzes measured data and identifies in real time whether an alert condition has been triggered.

In practice, this helps answer questions such as:

• When did a critical condition actually start?

• Is this event still ongoing or has it normalized?

• How long has this condition been active?

Beyond detecting threshold breaches, the platform now understands the full lifecycle of an event — from the moment a condition becomes true to when it is no longer relevant.

We also improved how station status is represented. Each sensor is now dynamically classified as:

• In alert: when it meets defined conditions

• Normal: when operating outside risk conditions

• Offline: when no data is available

This distinction reduces misinterpretations and increases confidence in operational analysis, especially in scenarios with intermittent data availability.

For situations that require continuous monitoring, we introduced a tracking mode. While a condition remains active, the system automatically sends new notifications at the configured interval — without requiring manual intervention.

With this update, you can:

• Automatically detect events based on measured data

• Track the status of each station with greater clarity

• Maintain continuous visibility over persistent conditions through recurring alerts

This evolution makes monitoring more autonomous and consistent, helping teams respond faster and make more confident decisions.