ОПРЕДЕЛЕНИЕ НАДЕЖНОСТИ СИСТЕМЫ РАСПОЗНАВАНИЯ ОБЪЕКТОВ С ИСПОЛЬЗОВАНИЕМ ГИБРИДНОЙ ИДЕНТИФИКАЦИИ
- Authors: Galishnikov I.S.1, Aminev D.A.2, Bunina L.V.2, Kozyrev D.V.3,4
-
Affiliations:
- Bauman Moscow State Technical University
- MIREA – Russian Technological University
- V.A. Trapeznikov Institute of Management Problems of the Russian Academy of Sciences
- Patrice Lumumba Peoples' Friendship University of Russia
- Issue: No 1 (2025)
- Pages: 45-53
- Section: FUNDAMENTALS OF RELIABILITY AND QUALITY ISSUES
- URL: https://ogarev-online.ru/2307-4205/article/view/289975
- ID: 289975
Cite item
Full Text
Abstract
Background. The article considers the principle of object recognition using radio frequency and optical identification. Materials and methods. The composition of the hybrid identification system is disclosed, the main components of which are RFID tags, RFID readers, antennas, a photo and video recording device, an interface module for transmitting to the data processing center via a telecommunications network. The structural and electrical installation electrical circuits of the hybrid identification system are disclosed. Results and conclusions. A method for calculating the reliability of the system is proposed and, based on the operational failure rate data, the probability of failure-free operation is calculated. The most unreliable elements are identified and recommendations are developed for increasing reliability by hot standby of microcontrollers. A structural diagram of reliability taking into account the redundancy and a generalized algorithm for the operation of the object recognition system using radio frequency and optical identification are proposed taking into account the switching of the main and backup microcontrollers in time.
About the authors
Ilya S. Galishnikov
Bauman Moscow State Technical University
Author for correspondence.
Email: galishnikov.ilya@yandex.ru
Student
(build. 1, 5 2-ya Baumanskaya street, Moscow, Russia)Dmitry A. Aminev
MIREA – Russian Technological University
Email: aminev.d.a@ya.ru
Candidate of technical sciences, associate professor of the sub-department of development of software solutions and system programming
(20 Stromynka street, Moscow, Russia)Lyudmila V. Bunina
MIREA – Russian Technological University
Email: ludmilabunina@mail.ru
Senior lecturer of the sub-department of development of software solutions and system programming
(20 Stromynka street, Moscow, Russia)Dmitry V. Kozyrev
V.A. Trapeznikov Institute of Management Problems of the Russian Academy of Sciences; Patrice Lumumba Peoples' Friendship University of Russia
Email: kozyrev-dv@rudn.ru
Candidate of physical and mathematical sciences, senior researcher of the laboratory of telecommunication systems; associate professor of the sub-department of probability theory and cybersecurity
(65 Profsoyuznaya street, Moscow, Russia);(6 Miklukho-Maklaya street, Moscow, Russia)References
- Larionov A.A., Ivanov R.E., Vishnevsky V.M. A stochastic model for the analysis of session and power switching effects on the performance of UHF RFID system with mobile tags. Procedings of the IEEE International Conference on RFID (Orlando, 2018). Orlando, USA, 2018:1–8.
- Larionov A.A., Ivanov R.E., Vishnevsky V.M. UHF RFID in Automatic Vehicle Identification: Analysis and Simulation. IEEE Journal of Radio Frequency Identification. 2017;1(1):3–12.
- Patent RU 2760058 C1. Sposob avtomaticheskogo kontrolya dorozhnogo dvizheniya i sistema, ego realizuyushchaya = A method of automatic traffic control and a system that implements it. Barskiy I.V., Bondar' D.V. № 2021118625; appl. 25.06.2021; publ. 22.11.2021. (In Russ.)
- Patent RU 99207 U1. Avtomatizirovannaya sistema kontrolya narusheniy PDD na baze shirokopolosnykh besprovodnykh setey peredachi informatsii i RFID tekhnologii = Automated traffic violations control system based on broadband wireless information transmission networks and RFID technology. Vishnevskiy V.M., Mannikhanov R.N. № 2010129975/08; appl. 20.07.2010; publ. 10.11.2010. (In Russ.)
- Certificate of type approval of measuring instruments RU.C.28.002.A No. 58736 of the Federal Agency for Technical Regulation and Metrology of Russia for measuring systems with video recording "KORDON-M". (In Russ.)
- Aminev D.A., Zhurkov A.P., Polesskiy S.N. et al. Comparative analysis of reliability prediction models for a distributed radio direction finding telecommunication system. Communications in Computer and Information Science (CCIS). 2016;678:194–209. doi: 10.1007/978-3-319-51917-3 18
- Rykov V.V., Kozyrev D.V. Reliability model for hierarchical systems: Regenerative approach. Automation and Remote Control. 2010;71(7):1325–1336. doi: 10.1134/S0005117910070064
- Rykov V.V., Kozyrev D.V. Analysis of renewable reliability systems by Markovization method. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2017;10684:210–220. doi: 10.1007/978-3-319-71504-9-19
- Danilin M.E., Zayara A.V., Fedulov V.D. Proposals for the organization of virtual tests of object recognition algorithms in control systems of mobile robotic complexes. Nadezhnost’ i kachestvo slozhnykh system = Reliability and quality of complex systems. 2023;(3):100–106. (In Russ.)
- Koshelev N.D., Alkhatem A., Novikov K.S. et al. Management of artificial neural networks for recognizing highresolution image storyboards. Nadezhnost’ i kachestvo slozhnykh system = Reliability and quality of complex systems. 2022;(2):85–91. (In Russ.)
Supplementary files
