Project Partners

The consortium brings together recognized world-class NMIs, institutes, industries and universities in the field of sensor networks. Overall, 19 institutes are involved in the consortium including 15 NMIs/DIs, 2 universities and 2 industrial participants.

VTT is a visionary research, development and innovation participant for companies and society that brings together people, science, and technology to solve the biggest challenges of our time. Particularly, with 8 teams dedicated to data science and four teams devoted to metrology, VTT has world leading capacity to address the metrological challenges of our digital era. National metrology institute VTT MIKES will contribute to all WPs and coordinate this project. It has proven coordination capability through successful coordination of several EMRP and EMPIR projects.

CMI is the national metrology institute of the Czech Republic. The Institute provides services in all basic fields of metrology: fundamental metrology, maintenance and development of national standards, research and development in metrology, calibration of standards and measuring instruments, legal metrology, type approvals of legal metrology instruments, metrological supervision and conformity assessment in metrology. CMI will exploit its full potential in the metrological assessment of the sensor networks field and will lead WP2.

DTI is a Danish DI and will contribute with expert knowledge of advanced sensor-data analysis obtained through numerous Danish and international projects in the field of digitalization. The institute has an extensive participant network among utilities and manufacturers within the district heating sector from several R&D projects and will be responsible for the case on the utility sector in WP4. DTI will lead WP5 (impact) drawing on experience from several previous participations in EMPIR and EMRP projects, including the coordinator role, as well as their continuous activities in standardisation work, training courses, and conferences.

FORCE is the Designated Institute in Denmark for gas flow (among other domains) and is world-leading within gas metering, calibration and type-approval, thus having an extensive international network within gas flow meter manufacturers and utility companies. FORCE Technology is active in the field of digitalization and an internationally recognized IoT service provider. FORCE Technology is also an active member in several standardisation organisations and will lead WP1 on uncertainty and data quality methods.

IPQ has been involved in several successful European Research Projects, within the framework of EMRP and EMPIR. IPQ has a Mathematical and Programming Group and brings expertise in Machine Learning algorithms and their use in metrology, and in uncertainty evaluation, being an active member of EMN MATHMET Steering Committee. IPQ will actively contribute to the data quality and risk analysis aspects of the sensor networks. 

LNE is the French National Metrology Institute and brings expertise and experience in uncertainty evaluation studies, research, training, computation and software development. LNE is represented on JCGM, and in ISO TC 69 Statistical methods committee and in numerous international and national scientific bodies, IMEKO, Société Française de statistique (SFdS), Collège Francais de métrologie (CFM). LNE’s data science and uncertainty department has collaborated in previous EMRP and EMPIR and will address metrological aspects of mobile air quality sensor networks in this project.

Metrosert is the Estonian national metrology institute, holds national standards, provides calibration, verification, testing and R&D services and has participated in a number of research projects in recent years, including EMRP and EMPIR projects. Metrosert is the largest calibration service provider in Estonia. Metrosert has in last 10 years been actively working on the digitalisation of its processes, including calibration, verification and testing, and will work on methods for in situ drift detection of thermocouples.

PTB is the National Metrology Institute of Germany and has much experience in the development and implementation of uncertainty propagation methods –for single sensors, complex measuring systems and sensor networks. PTB successfully coordinated the EMPIR project 17IND12 “Metrology for the factory of the future”and has contributed to several other national and internal projects on metrology for sensor networks with a focus on data analysis, semantics, and software development.

VSL is the national metrology institute of the Netherlands and as such it provides traceability to air quality stations and to electrical measurement instruments in the electrical grid. As member of CEN TC 264 WG 42 on ‘Ambient air –Air quality sensors’it is closely involved in work related to making novel air quality sensor networks traceable and providing the necessary mathematical basis for it. VSL has also ample experience in the electrical sensor network and regularly performs calibration and consultancy work for grid operators.

AIRPARIF is the air quality observatory of the Paris Region. It provides monitoring, analysis and expertise as well as alerts, information and training in the field of air quality. AIRPARIF will provide access to the large air quality micro-sensor database from more than 600 mobile and static sensors.European Partnership on Metrology Page 29 of 71 22DIT02 FunSNM Annex 1 v1.0

FZ-Juelich is a member of the Helmholtz Association of German Research Centres and is one of the largest interdisciplinary research centres in Europe. FZ-Juelich has an ongoing project "Living Lab Energy Campus (LLEC)”in which innovative monitoring and control approaches for district energy systems are demonstrated, making use of the supply infrastructure of the research centre, which has been extended recently by innovative energy demonstrators. FZ-Juelich brings in the expertise in FIWARE and well as the data semantics and
ontologies to WP3 and will demonstrate it in WP4.

UH is the oldest and largest university in Finland with the widest range of disciplines available. The university hosts the Institute for Atmospheric and Earth System Research (INAR) which provides cutting-edge research and education on climate change, air quality, biogeochemical cycles, and ecosystem processes. INAR places among the world’s top-ranked institutions for atmospheric sciences and will mainly contribute to WP4.

VINS - Vinča Institute of Nuclear Sciences, University of Belgrade is a National Institute of the Republic of Serbia, and the largest research institute in Serbia with about 750 employees, out of which over 300 hold a doctoral/PhD degree and over 200 are PhD students. VINS has expertise in metrology of dose and activity, and with different methods for air pollution analysis including monitoring and measurement technologies for particulate matter and criteria pollutants; expertise in mobility and optical particle size spectrometry,
development of big data techniques for online data corrections and calibrations. VINS is currently a coordinator of H2020 VIDIS project and will contribute to WP1, WP2 and WP4.

Random Red is a limited liability company with the main focus on an ongoing project “Metroracle” (https://www.trublo.eu/metroracle/) aiming at building a traceability system based on blockchain technology and in correspondence to the principles of FAIR+T data.

Vaisala is a global leader in the field of industrial humidity measurements with more than 80 years of experience in manufacturing humidity sensors. Vaisala offers products for other parameters and larger sensor networks through Vaisala’s monitoring systems. Vaisala will support a demonstration use case in WP4.

CCPI specialises in thermocouple manufacturing. Their facility has state of the art manufacturing equipment and clean room environments, as well as a calibration laboratory operating up to 1600 °C, including the latest high temperature fixed points. CCPI will liaise closely with customers in the aerospace and other supply chains and will work closely with NPL and other WP4 participants. CCPI is an associated partner associated to all internal beneficiaries.

METAS is the national metrology institute of Switzerland. It provides metrological services, maintenance, development of national standards, R&D in metrology, calibration of standards as well as measuring instruments. METAS has conducted theoretical studies on the reliability of air quality low-cost sensors (e.g., field calibration bias, stochastic online calibration with mobile references). A
new facility for the calibration of low-cost (gas and aerosol) sensor systems has been developed, which allows simulating and therefore accounting for interfering variables such as other gas compounds, humidity, and temperature. These facilities will be employed in the low-cost air quality monitoring use case of WP4. METAS is an associated partner associated to all beneficiaries.

NPL is the UK’s National Measurement Institute and is a world-leading centre of excellence in developing and applying the most accurate measurement standards, science and technology. NPL will draw on its expertise in thermocouple metrology to work closely with CCPI on applying the techniques developed in the technical WPs to industrial case studies. NPL will lead WP4 (industry case studies) drawing on experience in coordinating numerous EMRP and EMPIR projects. NPL’s Data Science department specialises in
mathematical modelling including machine learning, simulation of measuring systems, data analysis and uncertainty evaluation. The Data Science department is undertaking nationally funded projects to build capability in the areas of trustworthy machine learning, confidence in inference and decision-making and FAIR metrology covering metadata standards and semantic technologies for data mining and augmentation. 

UCAM brings in the expertise of the Supply Chain AI Laboratory (SCAI-Lab) within the Institute for Manufacturing, Department of Engineering. It has long standing expertise on autonomous cyber-physical manufacturing systems, manufacturing and supply chain analytics, and the Industrial IoT; capturing the entire manufacturing control loop from digital analysis to autonomous decision making. UCAM’s strengths include the development of AI based solutions for industrial applications and will actively contribute to WP2 and WP3.