The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring

Gawlik-Kobylińska, Małgorzata; Gudzbeler, Grzegorz; Szklarski, Łukasz; Kopp, Norbert; Koch-Eschweiler, Helge; Urban, Mariusz

doi:10.3390/app112110308

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The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring

Małgorzata Gawlik-Kobylińska

^1,2,*

Grzegorz Gudzbeler

¹,

Łukasz Szklarski

³,

Norbert Kopp

⁴,

Helge Koch-Eschweiler

⁴ and

Mariusz Urban

Faculty of Political Science and International Studies, University of Warsaw, 00-927 Warsaw, Poland

Faculty of Command and Management, War Studies University, 00-910 Warsaw, Poland

ITTI, 61-612 Poznań, Poland

⁴

Technisch-Mathematische Studiengesellschaft mbH (tms), 53229 Bonn, Germany

Author to whom correspondence should be addressed.

Academic Editors: Malgorzata Pankowska and Emilio Insfran

Appl. Sci. 2021, 11(21), 10308; https://doi.org/10.3390/app112110308

Received: 8 September 2021 / Revised: 23 October 2021 / Accepted: 29 October 2021 / Published: 3 November 2021

(This article belongs to the Special Issue Advances in Information System Analysis and Modeling (AISAM))

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Abstract

Chemical reconnaissance, defined as hazards detection, identification, and monitoring, requires tools and solutions which provide reliable and precise data. In this field, the advances of artificial intelligence can be applied. This article aims to propose a novel approach for developing a chemical reconnaissance system that relies on machine learning, modelling algorithms, as well as the contaminant dispersion model to combine signals from different sensors and reduce false alarm rates. A case study of the European Union Horizon 2020 project–EU-SENSE is used and the main features of the system are analysed: heterogeneous sensor nodes components, chemical agents to be detected, and system architecture design. Through the proposed approach, chemical reconnaissance capabilities are improved, resulting in more effective crisis management. The idea for the system design can be used and developed in other areas, namely, in biological or radiological threat reconnaissance. View Full-Text

Keywords: chemical detection; chemical identification; chemical monitoring; chemical reconnaissance; machine learning; modelling algorithms

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MDPI and ACS Style

Gawlik-Kobylińska, M.; Gudzbeler, G.; Szklarski, Ł.; Kopp, N.; Koch-Eschweiler, H.; Urban, M. The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring. Appl. Sci. 2021, 11, 10308. https://doi.org/10.3390/app112110308

AMA Style

Gawlik-Kobylińska M, Gudzbeler G, Szklarski Ł, Kopp N, Koch-Eschweiler H, Urban M. The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring. Applied Sciences. 2021; 11(21):10308. https://doi.org/10.3390/app112110308

Chicago/Turabian Style

Gawlik-Kobylińska, Małgorzata, Grzegorz Gudzbeler, Łukasz Szklarski, Norbert Kopp, Helge Koch-Eschweiler, and Mariusz Urban. 2021. "The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring" Applied Sciences 11, no. 21: 10308. https://doi.org/10.3390/app112110308

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