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Cloud Platform for Structural Monitoring | RECOVIB.IO

Decision Software

“ Remote monitoring | Reduced travel | Informed decision-making | Easy integration of multiple sensors | Real-time alerts and notifications ”
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The cloud platform for structural monitoring, RECOVIB.IO, is specifically developed for monitoring slender structures, crane rails, traffic, vibration-sensitive assets, buildings, wind turbines, bridges, machines, and pipelines.

This solution is particularly used for monitoring construction sites and quarry activities.

The RECOVIB.IO cloud platform is ideal for large-scale deployments of monitoring devices in the field.

The RECOVIB.IO platform can be connected to RECOVIB® monitoring systems and sensors, providing a complete chain of data acquisition and remote analysis units.

In addition to the acquisition and processing of vibratory data, which is our core business, the versatility of our monitoring devices and the RECOVIB.IO platform enables us to integrate data from other sensor types or data sources.

Remote monitoring allows users to access crucial data for more informed decision-making.

Employees no longer need to be constantly present at the plant or travel to remote sites to record or collect tedious data points. More time can be spent analyzing data for increased efficiency.

If issues arise, the remote monitoring system can send alerts and notifications via email and SMS, allowing users to quickly resolve the problem and minimize downtime.

Cloud-based platform for monitoring vibration-sensitive structures (wind turbines, bridges, buildings, machinery, etc.). Connects to RECOVIB® monitoring systems and sensors for remote data acquisition and analysis. Real-time collection and processing of vibration data. Integration of additional sensors or data sources for comprehensive monitoring. Remote access for quick, informed decision-making. Alert system via e-mail and SMS to notify users of issues in real-time. Ideal for large-scale deployments in the field and construction site monitoring.
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Industry Predictive maintenance

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