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The European Metrology Network for Clean Energy is pleased to announce the successful completion of the Fundamental Principles of Sensor Network Metrology (22DIT02, FunSNM) project, a major collaborative effort that has strengthened Europe’s capabilities in metrology for sensor networks. Over its duration, the initiative brought together leading experts, national metrology institutes and industrial stakeholders to address some of the most pressing measurement challenges in modern sensing infrastructures. Its conclusion marks the establishment of a more coherent foundation for future innovation, clearer pathways for stakeholder engagement and a suite of metrological tools that will support European competitiveness for years to come.

Sensor networks now play a vital role across society. They underpin air‑quality monitoring in cities, optimise district‑heating and energy systems, support smart buildings, enhance advanced manufacturing and manage utility infrastructures such as gas, hydrogen and water distribution. These networks generate large volumes of real‑time data, enable digitalisation and allow faster, more informed decision‑making.

A key driver for FunSNM was the increasing complexity of real‑world sensor networks and the measurement challenges that arise when they operate outside controlled laboratory conditions. In practice, sensors are deployed in dynamic environments where conditions shift over time. Devices may drift or age, environmental factors may fluctuate, and sensors are frequently replaced, relocated or integrated into new configurations. Data often pass through multiple layers of processing, from embedded firmware and edge devices to cloud platforms, AI‑based analytics and distributed software systems. Consequently, many networks produce data with unknown measurement uncertainty, unclear data quality and limited traceability to the International System of Units (SI).

Addressing these challenges required a broad coalition of expertise from metrology institutes, universities, industry and stakeholder groups. Together, they developed adaptable, sector‑independent methods and validated them in real‑world use cases. The work included tools for evaluating uncertainty and data quality in practical sensor networks, extensions to distributed and mobile systems, and analyses of how network topology, communication and data aggregation influence trustworthiness. Automated and digital metrology frameworks were advanced through semantic technologies, machine‑interpretable models and digital calibration certificates. Case studies demonstrated the methods under application-specific conditions and identified practical requirements for their further implementation.

FunSNM developed methods for assessing the reliability of measurements from interconnected sensors. These methods could support monitoring and performance assessment in clean-energy applications, including wind turbines, photovoltaic installations and energy-storage systems, where data quality, sensor drift and measurement uncertainty influence operational and maintenance decisions.

The consortium has published scientific papers covering the current landscape and future directions of sensor‑network metrology, including uncertainty evaluation, automation methods, Gaussian‑process calibration, correlation modelling, district‑heating diagnostics, data‑quality characteristics and in‑situ temperature calibration. Public guidance on data quality, measurement uncertainty and SI traceability has also been released, offering practical recommendations for uncertainty evaluation, calibration strategies, data‑quality metrics and uncertainty‑aware sensor fusion. These resources support both technical users and decision‑makers who must assess whether sensor‑network data are sufficiently reliable for specific applications. An open digital footprint has been established through the project website, Zenodo collections, GitHub repositories, newsletters and semantic resources, ensuring transparency and long‑term accessibility. Contributions to workshops, tutorials and conferences across Europe have further supported dissemination and stakeholder uptake.

Benefits extend across a wide range of stakeholders. Industry gains methods to support calibration and maintenance decisions, detect drift and improve process monitoring. Environmental agencies and city authorities benefit from more reliable air‑quality and environmental monitoring, while energy and utility operators obtain improved measurement assurance in district‑heating, gas and other networked systems. Standardisation, accreditation and metrology communities receive evidence and methods that can inform future standards and digital‑SI developments.

With its successful conclusion, FunSNM stands as a clear demonstration of how collaborative metrology can drive innovation, strengthen competitiveness and support a resilient technological future for Europe. 

The project period for FunSNM was from 1 September 2023 to 31 August 2026 and it was coordinated by VTT MIKES under the leadership of Shahin Tabandeh.

This Metrology Partnership project has received funding from the European Partnership on Metrology, co-financed by the European Union Horizon Europe Research and Innovation Programme and from the Participating States.