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Fundamental principles of sensor network metrology

Short Name: FunSNM, Project Number: 22DIT02
Image showing an Artist's concept of a 'smart' city
Artist's concept of a 'smart' city

Ensuring data quality in modern sensor networks


Sensor networks can be comprised of dozens, hundreds, or thousands of sensors, often measuring different parameters under different environmental conditions. In industry, they can be used to ensure conformity with Directive 2010/75/EU on emissions, control processes, or monitor quality control in advanced manufacturing. Sensor networks are also used to measure pollution in cities to demonstrate compliance to 2008/50/EC on ambient air quality and cleaner air for Europe. They are also integral to the Internet of Things.

However, developments in sensor types and the introduction of artificial intelligence software systems have meant that these networks are struggling with data quality to varying degrees. In addition, many networks have unknown measurement uncertainties and lack traceability to the SI.

 

This project will investigate the metrological aspects of sensor networks and develop reliable and accurate methods for assessing data quality and measurement uncertainty in real-world environments.

Sensors in distributed networks will also be metrologically assessed, covering a wide variety of sensor types and geographical distributions. Semantic technologies will be applied to develop novel approaches for sensors in large, transient networks, such as those used for air quality measurements in urban environments.

Results obtained will be validated in at least three real-world case studies covering areas such as industrial processing, environmental monitoring, and building and utility sectors. The data obtained will then be published as guidelines for end-users.

 

At the end of the project information on how to lower the measurement uncertainty and improve SI-traceability for static and mobile sensor networks will positively impact environmental monitoring and help support European Directives.

 

 

Other Participants
Association interdépartementale pour gestion du réseau automatique de surveillance de pollution atmosphérique et d'alerte en région d’ile de France - AIRPARIF (France)
CCPI Europe Ltd (United Kingdom)
Forschungszentrum Juelich GmbH (Germany)
Helsingin Yliopisto (Finland)
Institut za nuklearne nauke Vinča, Institut od nacionalnog značaja za Republiku Srbiju, Univerzitet u Beogradu (Serbia)
Random Red d.o.o. (Croatia)
The Chancellor, Masters and Scholars of the University of Cambridge (United Kingdom)
Vaisala Oyj (Finland)

Information

Programme
Metrology Partnership
Field
Digital Transformation
Call
2022
Duration
2023-2026
Total EU contribution (in M €)
1,915