Russian Federation
Russian Federation
UDK 004.896 Искусственный интеллект в промышленных системах. Интеллектуальные САПР и АСУ. Интеллектуальные роботы
The article discusses the technological aspects of automated adjustment of standard train schedules using software robots. The information environment and existing technology for main-taining standard freight train schedules are considered. Information is provided on the implemen-tation of robotic process automation in corporate information systems operated in traffic control directorates. The stages and results of automating the adjustment of standard train schedules using software robots are considered. A generalized diagram of the process of adjusting standard train schedules using a software robot and a special data converter is presented. A fragment of the robot code for uploading the standard schedule into the Elbrus hardware and software complex is given. The issues of using Python programming language libraries to automate processes are considered. An assessment was made of the effectiveness of using software robots to adjust standard sched-ules. The possibilities of joint robotic and intelligent automation for adjusting train schedules are considered.
standard train schedules, corporate information systems, robotic process automation, schedule adjustment technology, robot script, efficiency, intelligent automation
1. Dolgosrochnaya programma razvitiya OAO «Rossiyskie zheleznye dorogi» do 2025 goda. Rasporyazhenie pravitel'stva № 466-r 19 marta 2019 goda.
2. O razvitii iskusstvennogo intellekta v Rossiyskoy Federacii. Ukaz Prezidenta Rossiyskoy Federacii ot 10.10.2019 goda № 490.
3. Glazkov M. O. Obespechivat' ustoychivost' i effektivnost' perevozochnogo processa / M. O. Glazkov // Zheleznodorozhnyy transport. - 2023. - № 3. - S. 24-28. - EDN FGCTXB.
4. GID «Ural-VNIIZhT» [Elektronnyy resurs]. Rezhim dostupa: http://gidural.ru/doku.php?id=start - (data obrascheniya: 17.01.2024).
5. Programmnye kompleksy RZhD: ASUT, GID «Ural VNIIZhT», ASU «Ekspress» [Elektronnyy resurs]. Rezhim dostupa: https://dvizhenie24.ru/railway/ programmnye-kompleksy-asut-gid-ural-vniizht- asu-ekspress/ - (data obrascheniya: 17.01.2024).
6. Hofmann P., Samp C., Urbach N. Robotic process automation // Electronic Markets. - 2020. - Vol. 30. - Pp. 99-106. - DOI:https://doi.org/10.1007/s12525-019-00365-8.
7. Khan S., Tailor R. K., Uygun H., Gujrati R. Application of robotic process automation (RPA) for supply chain management, smart transportation and logistics// International Journal of Health Sciences. - 2022. - Vol. 6 (S3). - Pp. 11051-11063. - DOI: 10.53730/ ijhs.v6ns3.8554.
8. Karthikeya S., Meenakshi N. Pending Receipts RPA Bot. Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing. - 2023. - Pp. 577-585. - DOI:https://doi.org/10.1007/978-981- 99-2742-5_59.
9. ROBIN RPA - platforma dlya robotizacii biznesa [Elektronnyy resurs]. Rezhim dostupa: https://www.rpa-robin.ru/programmnye-roboty - (data obrascheniya: 08.02.2024).
10. Ermakov S. G. Ispol'zovanie platformy Robin RPA v processe cifrovoy transformacii transportnyh kompaniy / S. G. Ermakov, D. I. Batalov, I. S. Mel'nikov // Intellektual'nye tehnologii na transporte. - 2023. - № 1 (33). - S. 5-14. - DOI:https://doi.org/10.24412/2413-2527-2023-133-5-14. - EDN YVWRCE.
11. Nikischenkov S. A. Ispol'zovanie programmnyh robotov dlya avtomatizacii biznes-processov na zheleznoy doroge / S. A. Nikischenkov, A. V. Garanin // Transportnoe delo Rossii. - 2023. - № 4. - S. 163-165. - DOI:https://doi.org/10.52375/20728689_2023_4_163. - EDN MULSDT.
12. Garanin A. V. Kontrol' narusheniy mezhpoezdnyh intervalov tyazhelovesnyh poezdov s primeneniem tehnologii programmnyh robotov / A. V. Garanin, S. A. Nikischenkov // Vestnik transporta Povolzh'ya. - 2023. - № 1. - S. 56-62. - EDN NWXEZT.
13. Garanin A. V. Avtomatizaciya processov korrektirovki normativnogo raspisaniya dvizheniya poezdov v GID «Ural-VNIIZhT» s primeneniem programmnyh robotov / A. V. Garanin, S. A. Nikischenkov // Mehatronika, avtomatizaciya i upravlenie na transporte. - 2023. - S. 24-27. - EDN TBJPDJ.
14. EL'BRUS. Innovacii: uverennoe dvizhenie [Elektronnyy resurs] . Rezhim dostupa: https://elbrus-r.ru/razrabotki - (data obrascheniya: 01.02.2024).
15. Treacy S., Adyanthaya A., Kearny Ch., Anand J., O’Sullivan K., Xu Y. From Hype to Reality: Navigating the Challenges of RPA Implementation. European Conference on Innovation and Entrepreneurship. - 2023. - Vol. 18(2). - Pp. 875-882. - DOI: 10.34190/ ecie.18.2.1721.
16. Sajquin M., Dueñas G. The Inclusion of RPA in the Digital Transformation. International journal of mathematics and computer research. - 2023. - Vol. 11 (02). - Pp. 3248-3249. DOI:https://doi.org/10.47191/ijmcr/ v11i2.04.
17. Nikischenkov S. A. Programma dlya kontrolya narusheniy mezhpoezdnyh intervalov tya-zhelovesnyh poezdov / S. A. Nikischenkov, A. V. Garanin // Svidetel'stvo ob oficial'noy registracii programmy dlya EVM № 2023669997 ot 25.09.2023 g.
18. Solem J. E. Programming Computer Vision with Python: Techniques and Libraries for Imaging and Retrieving Information. Hoboken: Wiley, 2012. - 256 p.
19. Heineman G., Pollice G., Selkow S. Algorithms in a Nutshell. A practical guide. Sebastopol: O’Reilly, 2009. - 389 p.
20. Sweigart A. Automate the Boring Stuff with Python. San Francisco: No Starch Press, 2019. - 500 p.
21. Shidaganti G., Karthik K. N., Anvith, Kantikar N. A. Integration of RPA and AI in Industry 4.0. Confluence of Artificial Intelligence and Robotic Process Automation. - 2023. - Pp. 267-288. - DOI:https://doi.org/10.1007/978- 981-19-8296-5_11.
22. Siderska J., Suesse Th., Aunimo L. A. Towards Intelligent Automation (IA): Literature Review on the Evolution of Robotic Process Automation (RPA), its Challenges, and Future Trends. Engineering Management in Production and Services. - 2023. - Vol. 15(4). - Pp. 90-103. DOI:https://doi.org/10.2478/emj-2023-0030.
23. Konica Minolta i ROBIN vypustili novoe reshenie dlya raspoznavaniya dokumentov Robin OCR [Rezhim dostupa: https://www.rpa-robin.ru/ocrkonica]. Data obrascheniya 01.02.2024.
24. Degtyareva V. V. Ocenka effektivnosti RPA-tehnologiy dlya obosnovaniya ih vnedreniya v transportno-logisticheskuyu otrasl' / V. V. Degtyareva, K. P. Panchenko // Pervyy ekonomicheskiy \ zhurnal. - 2023. - № 1(331). - S. 50-57. - DOI:https://doi.org/10.58551/20728115_2023_1_50. - EDN IROWWR.
25. Kalinin A. V. Avtomatizirovannaya sistema vedeniya grafika ispolnennogo dvizheniya novogo pokoleniya (AS GID NP). Rukovodstvo pol'zovatelya / A. V. Kalinin, M. V. Fedyashin, A. Ya. Nuriev. - M.: AO «NIIAS», 2023. - 199 s.
