Adaptive approach to spatial interpolation and visualization of scattered monitoring data at CERN

TUPD105
23 Sept 2025, 16:00
1h 30m
Palmer House Hilton Chicago

Palmer House Hilton Chicago

17 East Monroe Street Chicago, IL 60603, United States of America
Poster Presentation MC16: Data Management and Analytics TUPD Posters

Speaker

Carlo Maria Musso (European Organization for Nuclear Research)

Description

In order to ensure safe operations, CERN leverages an extensive SCADA system to monitor radiation levels and collect environmental measurements across its premises. The Health & Safety and Environmental Protection (HSE) Unit addressed the challenge of visualizing radiation fields from non-uniformly distributed sensors across large areas. This paper presents the approach and implementation of a 2D interpolation and visualization system for such measurements. The system implements two algorithms for two complementary monitoring scenarios. The Inverse Distance Weighting (IDW) interpolation addresses cases where radiation sources are located near sensor locations, assuming maximum values occur at measurement points. The Radial Basis Function (RBF) method handles scenarios with potential radiation peaks between sensors. A region network approach divides large areas into independent regions for optimized performance. Accuracy is evaluated using leave-one-out cross-validation.The architecture relies on TypeScript, React and WebSockets. The system processes measurements across CERN's premises and provides operators with a real-time or historical spatial visualization of radiation levels.

Author

Carlo Maria Musso (European Organization for Nuclear Research)

Co-authors

Adrien Ledeul (European Organization for Nuclear Research) Alexandru Savulescu (European Organization for Nuclear Research) Gustavo Segura Millan (European Organization for Nuclear Research)

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