Use Cases

A high-precision positioning system for trains that combines GNSS, inertial navigation (INS) and odometer data. The onboard system continuously collects positioning data and securely transmits it to the cloud.

In the cloud environment, the data is processed using advanced filtering and RTK post-processing techniques to significantly improve positional accuracy. The processed positions are then matched with a digital map of the railway network, enabling highly reliable track-level positioning.

The onboard system is built around robust hardware designed for railway environments, ensuring reliable operation under demanding conditions. The result is a precise and dependable train positioning solution suitable for monitoring, analysis and advanced rail applications.

An intelligent rainwater management system that monitors the water volume in rain barrels and controls pumps to prevent overflow or distribute water to dry areas.

Measured water levels are sent to the cloud, where the available volume is analysed together with weather forecasts to determine whether water should be stored or redistributed.

The hardware is built around a microcontroller-based platform with dedicated electronics, communicating with the cloud via MQTT.

A soil moisture monitoring system using a soil sensor that measures moisture levels and transmits the data to the cloud via LoRaWAN. This enables reliable monitoring of soil conditions over large areas with low-power field devices.

The collected data is analysed in the cloud to provide insight into soil moisture levels and support predictions of drying or irrigation needs.

The system can optionally be integrated with the smart rainwater management system, enabling automated irrigation based on real-time soil conditions.