Radar, ultrasonic, and probe sensors report river and lake levels plus turbidity, pH, and temperature over LoRaWAN, helping agencies spot contamination and inform flood risk assessments.
Coastal & marine ecosystems depend on conditions and assets that change between scheduled inspections. Changes in equipment condition may emerge without a clear indication of which site, zone, or asset needs attention. Utility, operations, and maintenance teams often rely on manual readings and disconnected systems, making it hard to compare current conditions with normal operation. This delays response and increases the chance of downtime, waste, safety exposure, or service disruption.
Bemondis Hydro collects equipment condition and operating-state readings across coastal & marine ecosystems and sends the readings to a cloud or on-premises application. Dashboards and configurable rules show asset health, operating state, and abnormal trends, retaining history by site, zone, or asset. This gives utility, operations, and maintenance teams the context to inspect or service the affected asset, helping them shorten response time and protect service continuity and document the response.
The system likely uses a suite of water sensors (e.g. level sensors, possibly sensors for turbidity, pH, conductivity, temperature, dissolved oxygen) along with water flow / level monitoring devices. These sensors send data via LoRaWAN to a cloud backend where the data is visualized and analysed. The platform would provide dashboards, alarms/alerts on thresholds, historical trend analysis, possibly geospatial visualization. Installation would include placing sensors in or near water bodies, mounting level sensors, setting up gateways and ensuring connectivity. Devices may be battery-powered or mains depending on location/access.
Vendor documentation: link 1 · link 2 · link 3 · vendor website
Evidence level: L2 · Documented: how evidence levels work
Early anomaly detection: Spot pollution or water-level changes before they escalate
Regulatory compliance: Continuous data supports environmental water standards
Flood risk insight: Level and flow monitoring aids flood risk assessment
Less manual work: Continuous remote monitoring replaces sampling trips and drives data-driven resource management
Monitors rivers and lakes via radar, ultrasonic, or submerged probe sensors.
Sensors for water-condition parameters such as temperature, turbidity, and pH.
LoRaWAN IoT connectivity delivers frequent or scheduled reporting, scaling across many water sites.
Automatic alerts when readings exceed safe limits or abnormal trends appear.
Analytics to view past data, identify patterns, and baseline behavior.
Secure platform for monitoring, management, and configuration of sensors and alerts.
Ask the AI Solution Architect: compare this solution against alternatives, check connectivity for your region, and get integration guidance. Included with IoT Apps Enterprise.
Fit, availability or a detail on this page. Goes straight to bemondis, no RFP needed.
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