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IoT · Water · Sensors · Analytics

Environmental monitoring and water-cycle digitalization

We develop control and monitoring systems for environmental needs, water-cycle operations and data management from distributed field sensors.

We apply IoT, analytics and supervision platforms to transform scattered signals into actionable information for operation, follow-up and decision-making.

IoTWater cycleRemote supervision
Environmental monitoring and water-cycle digitalization

Coverage

Technical team based in Madrid and project delivery across Spain.

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What we cover

We work on rural monitoring, wildlife-related control, environmental variables and water-cycle digitalization with sensors, remote acquisition and data exploitation.

Alventia's technology approach links this line to cloud, artificial intelligence, big data and integration of new technologies on existing infrastructure.

Core capabilities

  • Telemetry and data acquisition from distributed sensors and remote stations.
  • SCADA or web supervision of water, environmental and operating variables.
  • Integration of communications, gateways and analysis platforms.
  • Alarms, historical data, dashboards and event-based operation.
  • Progressive digitalization of assets without rebuilding the whole system.

Typical use cases

  • Monitoring of hydraulic infrastructure and water-related assets.
  • Environmental variable supervision and remote observation.
  • Rural or distributed environments that require connectivity and remote operation.
  • Projects combining sensors, operating data and technical reporting.

Operational value

  • Better visibility of previously isolated assets.
  • Faster detection of incidents or deviations.
  • Reliable data for operation, maintenance and reporting.
  • A path toward advanced analytics without losing control of the base data.

Frequently asked questions

Is this only for water projects?

No. Water-cycle systems are a strong use case, but the same technical base also supports broader environmental monitoring and distributed-control needs.

Can you work with existing sensors and platforms?

Yes. A common approach is to integrate already deployed assets and complete the missing communications, supervision or data-exploitation layers.

Do you include analytics or only data acquisition?

Reliable data capture comes first. From there we can structure dashboards, rules, historian layers and analytics suited to the operating case.