Benefits of Sensor Integration and Data Fusion in CBRN Agents Measurements
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ZN-2025-96_2-SPOŁ-Wołoszczuk.pdf (1.29 MB)
0000-0002-6380-2241 Date
2025-12-28
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Akademia Pożarnicza
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Abstract
In an era of rapidly evolving Chemical, Biological, Radiological and Nuclear (CBRN) threats,integrated detection systems using real-time data fusion are increasingly recognised as essential forpublic health and safety. This article explores how sensor integration and data fusion enhance theaccuracy, timeliness and reliability of CBRN measurements, with radiological detection asa representative domain. Drawing on literature review, prototype development and laboratoryevaluations in an accredited facility, the study demonstrates that synthesizing multiple sensoroutputs, including dose-rate measurements and gamma spectra, reduces false positives andsignificantly improves situational awareness for first responders.The investigation highlights the importance of modular system architectures that unify heterogeneoussensor data into standardised formats, enabling faster, more informed decision-making at bothtactical and command levels. By applying advanced calibration procedures, real-time signalprocessing, and peak detection algorithms, the approach improves measurement accuracy andreliability over a wide range of dose levels. Delivering concise, contextually relevant data to on-sitepersonnel-while retaining a broader dataset for strategic planning-also minimises cognitive overloadin critical response scenarios. These findings establish a strong foundation for extending theintegrated framework to other CBRN agents and underscore its potential for large-scale fieldimplementations in complex, real-world environments.
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Wołoszczuk, K., Maik, P., Safronov A., et al. (2025). BENEFITS OF SENSOR INTEGRATION AND DATA FUSION IN CBRN AGENTS MEASUREMENTS. ZN SGSP, 2(96), 105-121. https://doi.org/10.5604/01.3001.0055.5459.