01Sensing
An autonomous station floats on or stands beside the water and takes readings every few minutes. Probes are chosen for the questions the operator needs answered, typically dissolved oxygen, temperature, water level and conductivity. Solar power and low-consumption electronics remove the need for shore cabling.
- Dissolved oxygen
- Temperature
- Level
- Conductivity
- Solar power
02Connectivity
Readings travel over low-power networks that work without fixed infrastructure. Depending on coverage and site constraints, the design uses cellular IoT (NB-IoT or LTE-M) or a private LoRaWAN gateway. Payloads are small and each message costs very little energy, which protects the station battery budget.
03Cloud platform
A secure ingestion service authenticates each device, validates every payload and stores the readings as time series. The platform also manages device identity, configuration and remote updates, so a station in the field can be maintained without a site visit.
- Ingestion
- Time-series storage
- Device management
- Remote updates
04Data and intelligence
Rules and analytics turn raw series into operational signals: threshold alerts, daily cycles, slow drifts and comparisons between stations. This is the layer where a falling oxygen curve becomes a warning hours before it would become a visible problem.
- Thresholds
- Trends
- Anomaly alerts
- Station comparison
05Dashboards and decisions
People work with the system through a web dashboard that shows station status, water-quality trends and exportable data. Alerts reach the team on the channels they already use, and an API exposes the data to other systems when integration is required.
- Web dashboard
- Alerts
- Exports
- API