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
The MAITAN Project
POR FESR-FSE CALABRIA 2014-2020
ASSE I – PROMOZIONE DELLA RICERCA E DELL’INNOVAZIONE
Obiettivo specifico 1.3 “PROMOZIONE DI NUOVI MERCATI PER L’INNOVAZIONE”
Azione 1.3.2 “SOSTEGNO ALLA GENERAZIONE DI SOLUZIONI INNOVATIVE A SPECIFICI PROBLEMI DI RILEVANZA SOCIALE, ANCHE ATTRAVERSO L’UTILIZZO DI AMBIENTI DI INNOVAZIONE APERTA COME I LIVING LABS”
The MAITAN project aims to develop a GeoSpatial Intelligence platform for automatic collection, analysis and monitoring of data related to natural and anthropic targets.
The project is a “Living Lab” initiative promoted by the Calabria Region in order to support the creation of innovative solutions to specific problems of social relevance, through Research and Experimental Development processes, and is based on the collaboration of two industrial partners and a research organization.

University of Calabria
Unical (DIATIC) will deal with the characterization of dynamic phenomena taking into account natural and structural targets

AlphaGeomega
Alphageomega will design and implement the Internet of Things infrastructure to support the project.

Revelis
Revelis will design and implementat an Artificial Intelligence and Big Data Analytics platform for GeoSpatial Intelligence
Applications
The Artificial Intelligence and Big Data Analytics platform will be validated in three application scenarios

Municipality of Mormanno
Monitoring of geological faults, in order to minimize the risks of hydrogeological instability

Municipality of Laino Borgo
Monitoring of erosive processes caused by the Lao river, in order to reduce critical issues in the presence of intense meteorological phenomena

Municipality of Laino Castello
Monitoring of buildings static stability, aimed at minimizing the risks and the availability of new tourist routes
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 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
Project Status
The project is composed by 6 workpackages
WP1
Project Management
WP 2
Requirements
WP 3
IoT Infrastructure
WP 4
MAITAN Platform
Design
Design