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Article


Title

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

Authors

[ 1 ] Instytut Zarządzania, Wydział Zarządzania i Dowodzenia, Akademia Sztuki Wojennej | [ 2 ] Uniwersytet Warszawski | [ 3 ] ITTI | [ 4 ] Technisch-Mathematische Studiengesellschaft mbH (tms) | [ P ] employee

Scientific discipline (Law 2.0)

[5.3] Security studies

Year of publication

2021

Published in

Applied Sciences

Journal year: 2021 | Journal volume: vol. 11 | Journal number: iss. 21

Article type

scientific article

Publication language

english

Keywords
EN
  • Chemical detection
  • Chemical identification
  • Chemical monitoring
  • Chemical reconnaissance
  • Machine learning
  • Modelling algorithms
PL
  • Sztuczna inteligencja
  • Rozpoznanie skażeń i zakażeń
  • Obrona przeciwchemiczna
  • Uczenie się maszyn
  • Algorytmy
Abstract

EN 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.

Pages (from - to)

10308 (nr art.)

DOI

https://doi.org/10.3390/app112110308

URL

https://www.mdpi.com/2076-3417/11/21/10308/htm

Comments

Impact Factor dla czasopisma: 2.679 (2020)

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Release date

03.11.2021

Date of Open Access to the publication

at the time of publication

Points of MNiSW / journal

100.0

Points of MNiSW / journal in years 2017-2021

100.0