Internet of Things for Geospatial Intelligence
The emergence of the Internet of Things (IoT) enables GeoSpatial Intelligence solutions, for anthropic and natural targets monitoring.
In fact, an increasing number of devices equipped with GPS and connected to the network are now available capable of measuring different physical and mechanical quantities such as:
– temperature
– humidity
– acceleration
– inclination
Geospatial intelligence is a branch of artificial intelligence and a technical-scientific area used by big data analysts for the realization of solutions aimed at monitoring and geospatial analysis of effects, such as:
– the trend of landslides,
– structural stability of buildings,
– the slipping of faults
GeoSpatial Intelligence, thanks to Internet of Things infrastructure for the detection and control, enables a better understanding, modeling and monitoring of natural and artificial ecosystems
MAITAN: a Revelis’ solution for GeoSpatial Intelligence
Revelis developed MAITAN, a GeoSpatial Intelligence platform for the automatic collection, analysis and monitoring of data relating to natural targets (erosion slopes, failing slopes) and anthropogenic (point buildings and infrastructures).
GeoSpatial Intelligence platform advantages
Today, hydrogeological monitoring has the following limitations:
– Absence of digital tools for planning, development and conservation of the territory: often administrators have only a paper version of the regional risk cartography that is not updated and without details
– Poor effectiveness of the regional system provided by the Civil Protection in the management of alerts and emergency states
Well-tailored IoT Infrastructure
The IoT sub-system is “specialized” with respect to the hydrogeological and seismic problems to be analyzed
Decision Support
MAITAN platform provides dashboards for physical and mechanical variables monitoring, supporting users in defining risk containment actions
Security Protocols
The Artificial Intelligence platform can discover anomalous situations and send alarms to municipal representatives
