FunSNM Workshop on Enhancing Sensor Network Metrology for Atmospheric Monitoring
Technical workshop report, 28 November 2025
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Overview
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FunSNM Work Package 1 Tutorial: Data Quality and Uncertainty in Sensor Networks
This tutorial presents a summary of Work Package 1 of the FunSNM project, focusing on data quality and uncertainty in sensor networks from a metrological perspective. It addresses …
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Data Quality Characteristics for Improved Metrology in Sensor Networks
Ensuring trustworthy and reliable data from sensor networks is a growing challenge as these systems become larger, more complex, and increasingly reliant on low-cost sensors.
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Industrial Workshop on Digitalization & Future Developments in District Heating and Cooling
When & where:đź—“ October 28, 2025đź“Ť DTU Lyngby Campus / Hybrid participation available
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SOCIO-BEE: Enhancing air quality networks for citizen science
Clustering approaches: A joint webinar was held by the projects COMPAIR, FunSNM and SOCIOBEE. Each project gave a presentation, which was followed by a Q&A and discussion sessi…
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Meet Fun SNM at CIM 2025
Fun SNM participates in the International Metrology Congress CIM 2025, which takes place 11 - 14 March in Lyon, France. Read about the congress here: https://www.cim-metrology.org…
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Online capability is key to uncertainty propagation
Automation in the sense of the automated application of fundamental methods to IoT systems is a key building block of metrology for sensor networks. In a study conducted as part of…
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Uncertainty Aware Sensor Fusion and Dynamic Calibration in Sensor Networks
Sensor fusion refers to the combining of data from sensors or those derived from sensor data such that the resulting information is in some sense better than would be possible when…
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In Situ Self-Calibration in a Sensor Network
Self-calibration and related methods are promising approaches in the context of sensor networks, as they open possibilities to achieve and maintain metrological traceability in sit…
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Estimating the calibration drift of thermocouples measuring temperature in high value manufacturing applications
In applications such as the heat treatment of high-value components in advanced manufacturing, it is important to be able to quantify in situ the calibration drift of the thermocou…
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IMEKO World Congress 2024
The IMEKO World Congress 2024, held in Hamburg, Germany at the end of August 2024, was a great event that offered plenty of opportunities for networking and sharing our exciting re…
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FunSNM provides input for new work items of CEN/TC 264/WG 42
The National Metrology Institute of the Netherlands, Van Swinden Laboratory (VSL) participated in a committee meeting of CEN/TC 264/WG 42 Ambient air - Air quality sensors in Septe…
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Real-world case studies
Part of the FunSNM project aims at demonstrating the general applicability of the methods and concepts developed in the other technical work packages in real-world applications.
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New estimation methods prolong sensor durability
New methods shall estimate the temperature drifts of thermocouples to avoid the need for replacement of sensors or at least prolong replacement intervals.
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Correlation matters
As always in metrology, the estimated value must be accompanied by a statement on the uncertainty of the estimate. To be able to calculate the uncertainty accurately, it is of crit…
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Measurements of sensor networks outside laboratory conditions are complex and call for uncertainty evaluations
The measurement challenges in many emergent areas related to climate and environment, energy, and others, involve measurements outside laboratory conditions where – contrary to the…
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Data quality is key
Poor data quality can lead to poor decisions, thus it is crucial to know and understand the quality of your data.
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