Enel

RISK DETECTION SYSTEM WITH PREDICTIVE DATA

By connecting online information on the weather forecast, we can detect how different weather conditions can affect the movement of trees near power lines and thus identify current and future risks.
Additionally, it is possible to simulate an estimated growth rate in the trees, in order to better understand the problems that can occur due to incomplete pruning in relation to the electrical wiring.

LiDAR / SATELLITE IMAGES / PREDICTIVE DATA

Statkraft

FLOOD SIMULATION

Using different drone capture methods, we have created a flood model, based on the elevation of the terrain coupled with a drastic increase in river flow. It is possible to simulate different flood conditions, either due to structural failures, increased severity of climatic situations and other factors. This through 60 kilometers of natural terrain, which we can visualize at different levels of detail in real time.

ORTHOPHOTOS / LiDAR / DEM / SATELLITE IMAGES

Technological Pillars

Real-time Engines

Real-time visualization has reached a quality level high enough to represent the real world.

IoT

The use of sensors has become widespread, at the same time costs have been reduced and access to information from these devices has been greatly improved.

Data Capture

Drones with high quality sensors have allowed the creation of LiDAR and Photogrammetry assets

Cloud based

The last link that connects the whole process. All the information generated by IoT devices. As well as public information such as weather prediction, they can be used without the need for specialized hardware or software by the user.

Clients

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