22DIT02 FunSNM - Fundamental principles of sensor network metrology

• Research unit: METAS
• Project number: F-5232.30185

Key words (English)

Sensor network calibration, distributed sensor networks, measurement standardization

Short description (English)

Sensor networks are used in many fields but struggle with data quality to varying degrees, including unknown measurement uncertainty and lack of SI-traceability. The recent developments in sensor networks architecture, such as in-situ self- and co-calibration techniques, data routing, processing and Artificial Intelligence (AI) methods (e.g. Machine Learning, Deep Learning), are posing unexplored challenges to metrology.

Project aims (English)

To overcome these issues and challenges, this project, titled "Fundamental principles of sensor network metrology" (22DIT02 FunSNM), addresses the metrological aspects of generic sensor networks, and covers uncertainty propagation, data quality metrics and SI-traceability. Furthermore, this project will cover the assessment, infrastructure, and risk analysis of distributed sensor networks. The applicability of the methods, tools and concepts will be demonstrated in typical real-world sensor networks covering five areas: district heating, heat treatment, natural gas and hydrogen distribution, air quality monitoring and smart buildings. Outputs from this project are expected to bring significant value to a broad range of industries and to the metrology and scientific communities. Moreover, the project will impact standardisation in several fields.