Robotic-biological systems for detection and identification of explosive ordnance: concept, general structure, and models
The subject of this study is systems for detection and identification (D&I) of explosive ordnance (EO). The aim of this study is to develop a concept, general structure, and models of a robotic-biological system for D&I of EO (RBS-D&I). The objectives are as follows: 1) to classify mobil...
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Format: | Article |
Language: | English |
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National Aerospace University «Kharkiv Aviation Institute»
2023-05-01
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Series: | Радіоелектронні і комп'ютерні системи |
Subjects: | |
Online Access: | http://nti.khai.edu/ojs/index.php/reks/article/view/2023 |
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author | Gennadiy Fedorenko Herman Fesenko Vyacheslav Kharchenko Ihor Kliushnikov Ihor Tolkunov |
author_facet | Gennadiy Fedorenko Herman Fesenko Vyacheslav Kharchenko Ihor Kliushnikov Ihor Tolkunov |
author_sort | Gennadiy Fedorenko |
collection | DOAJ |
description | The subject of this study is systems for detection and identification (D&I) of explosive ordnance (EO). The aim of this study is to develop a concept, general structure, and models of a robotic-biological system for D&I of EO (RBS-D&I). The objectives are as follows: 1) to classify mobile systems for D&I of EO and suggest a concept of RBS-D&I; 2) to develop the general structure of RBS-D&I consisting of robotic (flying and ground) and biological subsystems; 3) to develop models of RBS-D&I including automaton, hierarchical, and operational ones; 4) to describe tasks and planned results of the article-related scientific project; and 5) to discuss research results. The following results were obtained. 1) The general structure of the RBS-D&I. The structure comprises the following levels: control and processing centres (mobile ground control and processing centre (MGCPC) and virtual control and processing centre); forces for detection and identification (fleet of unmanned aerial vehicles (FoU), biological detection information subsystem (BDIS), and robotic detection information subsystem (RDIS)); interference; natural covers and a bedding surface; and target objects (all munitions containing explosives, nuclear fission or fusion materials and biological and chemical agents). 2) A concept of RBS-D&I. The concept is based on RBS-D&I description, analysis, development, and operation as an integrated complex cyber-physical and cyber-biological system running in changing physical and information environments. 3) The RBS-D&I automata model. The model describes RBS-D&I operating in two modes. In mode 1, FoU and BDIS operate separately and interact through the MGCPC only. In mode 2, depending on the specifics of the tasks performed, FoU and RDIS can directly interact among themselves or through the MGCPC. 4) hierarchical model. The model has two sets of vertices: EO detection and platforms equipped with the necessary sensors. 5) An operational cycle model. The model describes land release operations via a methodology of functional modeling and graphic description of IDEF0 processes. Conclusions. The proposed concept and RBS-D&I solutions can provide high-performance and guaranteed EO detection in designated areas by the implementation of an intelligent platform and tools for planning the use of multifunctional fleets of UAVs and other RBS-D&I subsystems. |
first_indexed | 2024-03-12T23:49:29Z |
format | Article |
id | doaj.art-93d271c146db459085be9ef17bebca28 |
institution | Directory Open Access Journal |
issn | 1814-4225 2663-2012 |
language | English |
last_indexed | 2024-03-12T23:49:29Z |
publishDate | 2023-05-01 |
publisher | National Aerospace University «Kharkiv Aviation Institute» |
record_format | Article |
series | Радіоелектронні і комп'ютерні системи |
spelling | doaj.art-93d271c146db459085be9ef17bebca282023-07-13T21:23:17ZengNational Aerospace University «Kharkiv Aviation Institute»Радіоелектронні і комп'ютерні системи1814-42252663-20122023-05-010214315910.32620/reks.2023.2.121929Robotic-biological systems for detection and identification of explosive ordnance: concept, general structure, and modelsGennadiy Fedorenko0Herman Fesenko1Vyacheslav Kharchenko2Ihor Kliushnikov3Ihor Tolkunov4National Aerospace University "Kharkiv Aviation Institute", KharkіvNational Aerospace University “Kharkiv Aviation Institute”, KharkivNational Aerospace University “Kharkiv Aviation Institute”, KharkivNational Aerospace University “Kharkiv Aviation Institute”, KharkivNational University of Civil Defence of Ukraine, KharkivThe subject of this study is systems for detection and identification (D&I) of explosive ordnance (EO). The aim of this study is to develop a concept, general structure, and models of a robotic-biological system for D&I of EO (RBS-D&I). The objectives are as follows: 1) to classify mobile systems for D&I of EO and suggest a concept of RBS-D&I; 2) to develop the general structure of RBS-D&I consisting of robotic (flying and ground) and biological subsystems; 3) to develop models of RBS-D&I including automaton, hierarchical, and operational ones; 4) to describe tasks and planned results of the article-related scientific project; and 5) to discuss research results. The following results were obtained. 1) The general structure of the RBS-D&I. The structure comprises the following levels: control and processing centres (mobile ground control and processing centre (MGCPC) and virtual control and processing centre); forces for detection and identification (fleet of unmanned aerial vehicles (FoU), biological detection information subsystem (BDIS), and robotic detection information subsystem (RDIS)); interference; natural covers and a bedding surface; and target objects (all munitions containing explosives, nuclear fission or fusion materials and biological and chemical agents). 2) A concept of RBS-D&I. The concept is based on RBS-D&I description, analysis, development, and operation as an integrated complex cyber-physical and cyber-biological system running in changing physical and information environments. 3) The RBS-D&I automata model. The model describes RBS-D&I operating in two modes. In mode 1, FoU and BDIS operate separately and interact through the MGCPC only. In mode 2, depending on the specifics of the tasks performed, FoU and RDIS can directly interact among themselves or through the MGCPC. 4) hierarchical model. The model has two sets of vertices: EO detection and platforms equipped with the necessary sensors. 5) An operational cycle model. The model describes land release operations via a methodology of functional modeling and graphic description of IDEF0 processes. Conclusions. The proposed concept and RBS-D&I solutions can provide high-performance and guaranteed EO detection in designated areas by the implementation of an intelligent platform and tools for planning the use of multifunctional fleets of UAVs and other RBS-D&I subsystems.http://nti.khai.edu/ojs/index.php/reks/article/view/2023robotic-biological systemdetection and identificationexplosive ordnancetechnical surveynon-technical surveyclearancedemininghazardous area |
spellingShingle | Gennadiy Fedorenko Herman Fesenko Vyacheslav Kharchenko Ihor Kliushnikov Ihor Tolkunov Robotic-biological systems for detection and identification of explosive ordnance: concept, general structure, and models Радіоелектронні і комп'ютерні системи robotic-biological system detection and identification explosive ordnance technical survey non-technical survey clearance demining hazardous area |
title | Robotic-biological systems for detection and identification of explosive ordnance: concept, general structure, and models |
title_full | Robotic-biological systems for detection and identification of explosive ordnance: concept, general structure, and models |
title_fullStr | Robotic-biological systems for detection and identification of explosive ordnance: concept, general structure, and models |
title_full_unstemmed | Robotic-biological systems for detection and identification of explosive ordnance: concept, general structure, and models |
title_short | Robotic-biological systems for detection and identification of explosive ordnance: concept, general structure, and models |
title_sort | robotic biological systems for detection and identification of explosive ordnance concept general structure and models |
topic | robotic-biological system detection and identification explosive ordnance technical survey non-technical survey clearance demining hazardous area |
url | http://nti.khai.edu/ojs/index.php/reks/article/view/2023 |
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