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

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.

Distributed Raman Spectrum Data Augmentation System Using Federated Learning with Deep Generative Models

“…The above studies used DL for applications using Raman spectrum data of non-hazardous substances, not of fatal chemical agents. In [17], an approach utilizing ML was proposed for chemical agent detection, but this approach did not use Raman spectrum data. In addition, the above studies trained their models using a very large number of Raman spectrum data.…”

Lessons Learned from Developing an Industry 4.0 Mobile Process Management System Supported by Artificial Intelligence

“…Indeed, a prominent feature of R&D projects is their high degree of innovation (Balli and Sigeze, 2017;Grochowski and Zwierzchowski, 2016). The results of R&D are usually commercialised (Albors-Garrigos and Hervas-Oliver, 2019;Bajdor, Pawełoszek, and Fidlerova, 2021), while the know-how and lessons learnt tend not to be disclosed (Gawlik-Kobylińska et al, 2021;Jasińska-Biliczak and Kowal, 2020;Owoc and Marciniak, 2013).…”

Introduction to the Special Issue Section: Innovations for chemical, biological, radiological, nuclear + explosive - CBRNe defence

“…This situation requires constant review and the updating of doctrinal documents and procedures, as well as the development of innovative tools to combat threats (NATO, 2004(NATO, , 2014. One of these tools is the EU-SENSE system for detection, identification, and monitoring of chemical hazards in various environments (Gawlik-Kobylińska et al, 2021). This section of the special issue will present selected research works in the area of CBRN+e.…”