UAE REFERENCE DESIGN · LAKES & WATER

Reference architecture: lake and water monitoring

This page documents how we design a complete lake monitoring system, layer by layer, from the water to the screen. It is a reference design that we adapt to each site and each operational question. It does not describe one specific existing installation.

Reference design, adapted per project

THE DESIGN

Five layers, from the water to the decision.

Five-layer diagram: Lake and Water MonitoringThe five layers of the design, from sensing in the field to dashboards and decisions: Sensing, Connectivity, Cloud platform, Data and intelligence, Dashboards and decisions. Data flows from one layer to the next.01SensingDissolved oxygenTemperatureLevelConductivitySolar power02ConnectivityNB-IoTLTE-MLoRaWAN03Cloud platformIngestionTime-series storageDevice managementRemote updates04Data and intelligenceThresholdsTrendsAnomaly alertsStation comparison05Dashboards and decisionsWeb dashboardAlertsExportsAPI
Data flows downward through the five layers, from sensing in the field to the people who act on it.

LAYER BY LAYER

What each layer does.

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.

  • NB-IoT
  • LTE-M
  • LoRaWAN

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

DESIGN LANGUAGE

What the operator sees.

The screen below is an illustrative mockup of the design language we use for monitoring dashboards. The layout and the data shown are examples, not a live deployment.

Illustrative dashboard mockupAn abstract mockup of a monitoring dashboard with indicator tiles, a trend chart, a station map and recent readings. It illustrates the design language only and shows no real data.ILLUSTRATIVE MOCKUPDISSOLVED O2WATER TEMPWATER LEVELSTATIONSTREND · LAST 7 DAYSALERTSRECENT READINGS
Illustrative mockup. For a working example of this experience, open the live demo.

WHAT THIS PAGE IS

A design, not a datasheet.

This is a reference design, not a datasheet of an existing installation. We adapt every layer to the site, the budget and the questions the operator needs answered, and we deliberately name no third-party vendors here because component choices belong to each project.

NEXT STEPS

See it working, then talk to us.

The live demo shows this design language with simulated telemetry. The field guide explains what to measure and why. When you are ready, tell us about your site.