This forecasting modelling platform, developed according to the paradigms of IoT, Big Data and machine learning, allows assessing environmental impact. It is based on the use and integration of data coming from a distributed and heterogenous network of environmental sensors and from sophisticated modelled scenarios made through AI technologies. The system manages the data and processes customized modelled scenarios through a Decision Support System.
real-time monitoring of environmental matrices
prediction of potential environmental critical issues
support of the business decision-making process with simulation of “what-if” scenarios
customised and configured according to the specific business process
for smart representation and management of places, infrastructures and facilities
for smart representation and management of places
and advanced dashboards for management and control
and advanced techniques of Artificial Intelligence
to support decisions and simulate “what-if” scenarios
of external sensors and information systems
For the virtual reconstruction of places of interest, real-time presentation of situations, historical traffic data of vehicles, forecast of traffic flows
Scenario simulation and 3D visualisation
The system is able to display a navigable and interactive 3D representation of the place of interest, in real time and in the past
Quality of environmental parameters
Through the monitoring of the sensor network and the reconstruction of the environmental model, the system returns an estimate and prediction of the impact of polluting activities in the place of interest.