Telemetry and online sensors in monitoring - automatic data recording

Knowledge base · July 12, 2026

Classic monitoring means a trip into the field for every reading. Telemetry changes this logic: the sensor stays in place, measures continuously, and the data flows in by itself - to the cloud or to a platform. For many applications this is a huge leap in quality, because instead of a handful of points you have a dense, continuous series.

How it works

• A sensor / probe (often multi-parameter) measures at a fixed interval and records the data in a logger.
• Telemetry (e.g. by a GSM/LoRa module) transmits the readings live - without waiting for a visit.
• The data reaches a platform, where it forms charts, and once a threshold is breached - alerts.

What you gain

• High resolution - you can see daily fluctuations and short events that spot measurement misses.
• Early warning - a threshold + a notification lets you react in time (e.g. a fall in oxygen, the temperature approaching 0°C, a spike in conductivity).
• Fewer trips - the sensor works on its own between servicing.

What to keep in mind

• Calibration and servicing - sensors drift and get fouled; without maintenance the data quietly loses its credibility.
• Power and connectivity - in the field these are real constraints (battery, signal).
• Quality control - it is worth periodically comparing the sensor with a reference measurement.

In practice

Telemetry only makes sense when the data arrives in one place by itself and can be read together with context. LimnoLog takes in measurements from sensors through connectors / telemetry and records them in your project - alongside manually entered data and public data (weather, hydrology) on a shared time axis. A warning threshold on an indicator triggers a notification. This turns a continuous stream of data into real supervision, not just an archive of figures.