Sensor Network Infrastructure For Factors (SNIFF) 

Funding Program: PON Nazionale “Ricerca e Competitività” 2007-2013
Funding Institution: MIUR Ministero Istruzione Università e Ricerca
Research Line: Settore Ambiente e Sicurezza


Vitrociset (Coordinatore)
CIRPS (Consorzio Interuniversitario)
Università di Tor Vergata
Università di Milano Bicocca
Università di Catania
CID Informatica
Laboratorio Tevere
Ministero dell’Ambiente
Aziende Municipalizzate

The project

The aim of SNIFF project is the design, implementation, testing and validation of sensors infrastructure (sensors on both fixed locations and mobile), which analyzes the overall level of air widespread pollution distributed in the environment and is able to:

  • measure and report on GIS platform, the levels of pollutants in the area covered by the study;
  • quantify the emissions of individual sources of pollution in the area under study (eg. power stations, ports, airports, industrial plants);
  • provide a model for predicting the level of pollution in the short, medium and long term.

The project has as its objective the design, implementation, testing and validation of an innovative system (HW and SW) based on a network infrastructure consisting of new sensors that allow overcoming the constraints and limitations of current systems, and they are installable on both fixed locations and mobile (on-board ground vehicles and carriers UAV – Unmanned Aerial Vehicle).

Starting from the acquisition of the average values of diffuse pollution in the atmosphere the new system will identify, quantify and monitor the pressure exerted by individual sources (power stations, ports, airports, industrial plants, etc..) in the area.

The validation of the data collected through the monitoring campaigns carried out with the new sensor, will be through a reference system consisting of conventional units that will be located on the area of interest.

The research will include the study and implementation of a mathematical model to measure the environmental load emitted from each pollutant source and a model for predicting the level of pollution in the short, medium and long term that has as its starting point the ‘analysis of data collected.
Finally the implementation of a Geographic Information System (GIS) will allow you to view on the territory map of interest environmental data acquired and the results obtained through the forecasting model.