Construction of systemic interaction between tools of remote monitoring of the technical condition and operation modes of a truck vehicle

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.298843

Keywords:

vehicle, remote monitoring, technical condition, modes of work and rest of the driver

Abstract

Parameters of the technical condition of transportation means in modern transport-logistics and infrastructure systems are an integral element of their communication support. This is enabled by the use of remote information monitoring technologies in control processes. The object of this study is the processes of vehicle remote monitoring in terms of determining the technical condition. The work addressed the task of improving the process of vehicle technical operation through the construction of a model of the remote monitoring system of its technical condition. A remote version of the information-analytical monitoring system was implemented. The work considers the system interaction of the means of remote monitoring of the state of a vehicle to ensure control under the operating conditions of the driver's work and rest modes. Road, transport, climatic conditions, etc. were taken into account. Considering these features, an information and analytical model of the system for remote monitoring of vehicle condition was built. Features of the subject area of the system are described using a DFD diagram. A structured information model of the information-communication system has been constructed, which has the ability to actually provide vehicle remote monitoring, the driver's work and rest modes, and his/her physical condition. The results, subject to the use of the V2I information model in the field of transport, allow remote monitoring of the vehicle technical condition. Specifically, to analyze the influence of changes in the physical condition and modes of work and rest of drivers on changes in the vehicle operating parameters

Author Biographies

Igor Gritsuk, Kherson State Maritime Academy

Doctor of Technical Sciences, Professor

Department of Ship Power Plants Operation

Igor Khudiakov, Kherson State Maritime Academy

PhD, Associate Professor

Department of Ship Power Plants Operation

Mykyta Volodarets, Pryazovskyi State Technical University

PhD, Associate Professor

Department of Road Transport

Dmytro Pohorletskyi, Kherson State Maritime Academy

PhD, Associate Professor

Department of Ship Power Plants Operation

Nadiia Pohorletska, Kherson State University

Postgraduate Student

Department of English Philology and Word Literature named after Professor Oleg Mishukov

Yevhen Ukrainskyi, National Aviation University

PhD

Department of Organization of Aviation Works and Services

Igor Petrov, Odesa National Maritime Academy

Doctor of Technical Sciences, Professor

Department of Sea Transportation

Pavlo Nosov, Kherson State Maritime Academy

PhD, Associate Professor, Head of Department

Department of Innovative Technologies and Technical Devices of Navigation

Askar Tazhenov, Ministry of Internal Affairs of the Republic of Kazakhstan

Master’s Degree, Head of Department

Department of Committee of Administrative Police

Mikhaylo Litvinov, Abu Dhabi National Oil Company (ADNOC) Headquarters

Ship Engeneer

References

  1. Komov, P. B., Volkov, V. V. (2005). Problemy orhanizatsiyi tekhnichnoi ekspluatatsiyi avtomobiliv u suchasnykh umovakh hospodariuvannia. Visnyk Skhidnoukrainskoho natsionalnoho universytetu im. Volodymyra Dalia, 6 (88), 128–132.
  2. Grynkiv, A. V. (2016). The Use of Forecasting Methods in Managing the Technical State of Aggregates and Vehicle Systems. Agricultural Engineering, Industrial Engineering, Automation, 29, 25–32.
  3. Smyrnov, Y., Borysiuk, D., Volobuyeva, T., Nastenko, M., Plakhtii, T. (2023). Model for devising and defining technical development projects of motor transport enterprises. Eastern-European Journal of Enterprise Technologies, 5 (3 (125)), 23–34. https://doi.org/10.15587/1729-4061.2023.289004
  4. Troitskiy-Markov, Т. Y., Sennovskiy, D. V. (2011). Principles for energy efficiency monitoring system. Monitoring Science and safety, 4, 34–39.
  5. Davydenko, L. V., Davydenko, V. A., Komenda, N. V., Yarmolska, N. V. (2014). Energy monitoring functions of compound production systems and their objectives for increasing energy efficiency. The Herald of KhNTUA. Technical sciences. “Problems of energy supply and energy saving in agricultural sector of Ukraine”, 153, 125–127.
  6. Podrigalo, M., Klets, D., Sergiyenko, O., Gritsuk, I. V., Soloviov, O., Tarasov, Y. et al. (2018). Improvement of the Assessment Methods for the Braking Dynamics with ABS Malfunction. SAE Technical Paper Series. https://doi.org/10.4271/2018-01-1881
  7. Khavruk, V. O. (2020). Analysis of the safety of motor vehicles and the current state of the mandatory technical control of motor vehicles in Ukraine. Scientific Notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences, 5. https://doi.org/10.32838/2663-5941/2020.5/39
  8. Alekseyev, V. V., Kurakina, N. I., Orlova, N. V., Minina, A. A. (2016). GIS monitoring of transport networks. Data +. Geo information systems for business and society, 2 (69).
  9. Gritsuk, I. V., Volkov, V., Mateichyk, V., Grytsuk, Y., Nikitchenko, Y., Klets, D. et al. (2018). Information Model of V2I System of the Vehicle Technical Condition Remote Monitoring and Control in Operation Conditions. SAE Technical Paper Series. https://doi.org/10.4271/2018-01-0024
  10. Golovan, A., Gritsuk, I., Popeliuk, V., Sherstyuk, O., Honcharuk, I., Symonenko, R. et al. (2019). Features of Mathematical Modeling in the Problems of Determining the Power of a Turbocharged Engine According to the Characteristics of the Turbocharger. SAE International Journal of Engines, 13 (1). https://doi.org/10.4271/03-13-01-0001
  11. Gritsuk, I. V., Mateichyk, V., Tsiuman, M., Gutarevych, Y., Smieszek, M., Goridko, N. (2018). Reducing Harmful Emissions of the Vehicular Engine by Rapid After-Start Heating of the Catalytic Converter Using Thermal Accumulator. SAE Technical Paper Series. https://doi.org/10.4271/2018-01-0784
  12. Lobo, S., Festag, A., Facchi, C. (2022). Enhancing the Safety of Vulnerable Road Users: Messaging Protocols for V2X Communication. 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). https://doi.org/10.1109/vtc2022-fall57202.2022.10012775
  13. Yunck, T. P., Wu, S.-C., Wu, J.-T., Thornton, C. L. (1990). Precise tracking of remote sensing satellites with the Global Positioning System. IEEE Transactions on Geoscience and Remote Sensing, 28 (1), 108–116. https://doi.org/10.1109/36.45753
  14. Hansen, P., Wolfe, B. (2004). Remote Diagnostics - the Next OEM Frontier. The Hansen Report on Automotive Electronics, 16 (10).
  15. Bentler, P. (1993). EQS Structural Equations Program Manual Statistic. Los Angeles: BMDP Statistical Software Inc., 456.
  16. Bakhsh Kelarestaghi, K., Ermagun, A., Heaslip, K., Rose, J. (2020). Choice of speed under compromised Dynamic Message Signs. PLOS ONE, 15 (12), e0243567. https://doi.org/10.1371/journal.pone.0243567
  17. Karshyga, A., Tulegulov, A., Kalkenov, A., Aryngazin, K., Nurtai, Z., Yergaliyev, D. et al. (2023). Development of an intelligent system automating managerial decision-making using big data. Eastern-European Journal of Enterprise Technologies, 6 (3 (126)), 27–35. https://doi.org/10.15587/1729-4061.2023.289395
  18. Potuzak, T. (2021). Methodology for Assessing of Communication Protocols for Distributed Simulation of Road Traffic. 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). https://doi.org/10.1109/ds-rt52167.2021.9576152
  19. Lebid, I., Luzhanska, N., Lebid, I., Mazurenko, A., Roi, M., Medvediev, I. et al. (2023). Development of a simulation model of the activities of a transport and forwarding enterprise in the organization of international road cargo transportation. Eastern-European Journal of Enterprise Technologies, 6 (3 (126)), 6–17. https://doi.org/10.15587/1729-4061.2023.291039
  20. Volodarets, M., Gritsuk, I., Chygyryk, N., Belousov, E., Golovan, A., Volska, O. et al. (2019). Optimization of Vehicle Operating Conditions by Using Simulation Modeling Software. SAE Technical Paper Series. https://doi.org/10.4271/2019-01-0099
  21. Kuric, I., Gorobchenko, O., Litikova, O., Gritsuk, I., Mateichyk, V., Bulgakov, M., Klackova, I. (2020). Research of vehicle control informative functioning capacity. IOP Conference Series: Materials Science and Engineering, 776 (1), 012036. https://doi.org/10.1088/1757-899x/776/1/012036
  22. Vychuzhanin, V., Rudnichenko, N., Shybaiev, D., Gritsuk, I., Boyko, V., Shybaieva, N. et al. (2018). Cognitive Model of the Internal Combustion Engine. SAE Technical Paper Series. https://doi.org/10.4271/2018-01-1738
  23. Hahanov, V., Gharibi, W., Litvinova, E., Chumachenko, S., Ziarmand, A., Englesi, I. et al. (2017). Cloud-Driven Traffic Monitoring and Control Based on Smart Virtual Infrastructure. SAE Technical Paper Series. https://doi.org/10.4271/2017-01-0092
  24. Gritsuk, I., Volkov, V., Gutarevych, Y., Mateichyk, V., Verbovskiy, V. (2016). Improving Engine Pre-Start And After-Start Heating by Using the Combined Heating System. SAE Technical Paper Series. https://doi.org/10.4271/2016-01-8071
  25. Borukayev, Z. H., Ostapchenko, K. B., Ericyuk, L. I. (2007). Computer Model of Energy Efficiency Monitoring: Aspects of Information Modeling. Power Engineering and Electrification, 1, 3–7.
  26. Bugayko, D., Ponomarenko, O., Sokolova, N., Leshchinsky, O. (2023). Determining possibilities for applying theoretical principles of situational risk management in the aviation safety system. Eastern-European Journal of Enterprise Technologies, 6 (3 (126)), 55–66. https://doi.org/10.15587/1729-4061.2023.294763
  27. Mateichyk, V. P., Volkov, V. P., Komov, P. B. (2014). Features of monitoring of vehicles state with using of вoard diagnostic complexes. Upravlinnia proektamy, systemnyi analiz i lohistyka, 13, 125–137. Available at: http://nbuv.gov.ua/UJRN/Upsal_2014_13%281%29__18
  28. Kashkanov, V. A., Kashkanov, A. A., Kuzhel, V. P. (2020). Informatsiyni systemy i tekhnolohiyi na avtomobilnomu transporti. Vinnytsia: VNTU, 104. Available at: https://press.vntu.edu.ua/index.php/vntu/catalog/download/610/1083/2199-1?inline=1
  29. Golovan, A., Rudenko, S., Gritsuk, I., Shakhov, A., Vychuzhanin, V., Mateichyk, V. et al. (2018). Improving the Process of Vehicle Units Diagnosis by Applying Harmonic Analysis to the Processing of Discrete Signals. SAE Technical Paper Series. https://doi.org/10.4271/2018-01-1774
  30. Gritsuk, I. V., Zenkin, Y. E., Bulgakov, N., Golovan, A., Kuric, I., Mateichyk, V. et al. (2018). The Complex Application of Monitoring and Express Diagnosing for Searching Failures on Common Rail System Units. SAE Technical Paper Series. https://doi.org/10.4271/2018-01-1773
  31. Rabinovich, E., Gritsuk, I. V., Zuiev, V., Zenkin E.Y., E., Golovan, A., Zybtsev, Y. et al. (2018). Evaluation of the Powertrain Condition Based on the Car Acceleration and Coasting Data. SAE Technical Paper Series. https://doi.org/10.4271/2018-01-1771
  32. Quan, J., Zhao, Y., Tan, G., Xu, Y., Huang, B., He, T. (2018). A Study on Safety Intelligent Driving System for Heavy Truck Downhill in Mountainous Area. SAE Technical Paper Series. https://doi.org/10.4271/2018-01-1887
  33. Zhang, H., Lu, X. (2020). Vehicle communication network in intelligent transportation system based on Internet of Things. Computer Communications, 160, 799–806. https://doi.org/10.1016/j.comcom.2020.03.041
  34. Kelarestaghi, K. B., Heaslip, K., Khalilikhah, M., Fuentes, A., Fessmann, V. (2018). Intelligent Transportation System Security: Hacked Message Signs. SAE International Journal of Transportation Cybersecurity and Privacy, 1 (2), 75–90. https://doi.org/10.4271/11-01-02-0004
  35. Kanchwala, H., Ogai, H. (2016). Development of an Intelligent Transport System for EV. SAE International Journal of Passenger Cars - Electronic and Electrical Systems, 9 (1), 9–21. https://doi.org/10.4271/2015-01-9132
  36. Volodarets, M., Gritsuk, I., Ukrainskyi, Y., Shein, V., Stepanov, O., Khudiakov, I. et al. (2020). Development of the analytical system for vehicle operating conditions management in the V2I information complex using simulation modeling. Eastern-European Journal of Enterprise Technologies, 5 (3 (107)), 6–16. https://doi.org/10.15587/1729-4061.2020.215006
  37. Tazhenov, A. D. (2021). The state of road safety and the prospect of introducing the function of unmanned vehicle control in the transport system of the Republic of Kazakhstan. Khabarshi — Vestnik, 4 (74), 201–209.
  38. Khudiakov, I., Simonenko, R., Grytsuk, I., Mateichyk, V., Volkov, V., Bilousova, T., Volodarets, M. (2020). Peculiarities of remote identification of labor mode and rest of a driver in the vehicle information monitoring system. Collection of Scientific Works of the State University of Infrastructure and Technologies Series “Transport Systems and Technologies,” 35. https://doi.org/10.32703/2617-9040-2020-35-15
  39. Klets, D., Gritsuk, I. V., Makovetskyi, A., Bulgakov, N., Podrigalo, M., Kyrychenko, I. et al. (2018). Information Security Risk Management of Vehicles. SAE Technical Paper Series. https://doi.org/10.4271/2018-01-0015
  40. Gorobchenko, O., Fomin, O., Gritsuk, I., Saravas, V., Grytsuk, Y., Bulgakov, M. et al. (2018). Intelligent Locomotive Decision Support System Structure Development and Operation Quality Assessment. 2018 IEEE 3rd International Conference on Intelligent Energy and Power Systems (IEPS). https://doi.org/10.1109/ieps.2018.8559487
  41. Towards sustainable transport in the CEI-countries (1997). Declaration by CEI-Ministers. New York, 11.
  42. Mikhalevich, M., Yarita, A., Leontiev, D., Gritsuk, I. V., Bogomolov, V., Klimenko, V., Saravas, V. (2019). Selection of Rational Parameters of Automated System of Robotic Transmission Clutch Control on the Basis of Simulation Modelling. SAE Technical Paper Series. https://doi.org/10.4271/2019-01-0029
  43. Mateichyk, V., Saga, M., Smieszek, M., Tsiuman, M., Goridko, N., Gritsuk, I., Symonenko, R. (2020). Information and analytical system to monitor operating processes and environmental performance of vehicle propulsion systems. IOP Conference Series: Materials Science and Engineering, 776 (1), 012064. https://doi.org/10.1088/1757-899x/776/1/012064
  44. Anfilatov, V. S., Emelyanov, A. A., Kukushkin, A. A. (2002). Systems Analysis in Management. Moscow, 268.
  45. Khudiakov, I. V., Symonenko, R. V., Manzhelei, V. S., Chernenko, V. V. (2019). Osoblyvosti formuvannia ta analizu informatsiynykh struktur systemy monitorynhu parametriv tekhnichnoho stanu transportnykh zasobiv u vzaiemodii z takhohrafom. Systemy i zasoby transportu. Problemy ekspluatatsiyi i diahnostyky, 250–259.
  46. Tazhenov, A. D., Abeuov, E. T. (2023). The concept and significance of road safety in the context of the prospective introduction of an unmanned road transport system in the Republic of Kazakhstan. Khabarshi — Vestnik, 1 (79), 252–260.
  47. Tukey, J. W. (1977). Exploratory Data Analysis. Reading, Massachusetts: Addison-Wesley.
  48. Kravchenko, M., Prokhorchenko, A., Zolotarov, S. (2023). Mathematical model of a railroad grain cargo ridesharing service in the form of coalitions in congestion games. Eastern-European Journal of Enterprise Technologies, 5 (3 (125)), 35–48. https://doi.org/10.15587/1729-4061.2023.289470
  49. Daleka, V. X., Soroka, K. O., Budnychenko, V. B. (2012). Informatsiyni tekhnolohiyi na transporti. Kharkiv: KhNAMH, 364. Available at: http://eprints.kname.edu.ua/25620/1/2011%20печ%204Н%20%20Інфор%20техн%20посібник%20ред%20в%20друк1-7.pdf
  50. Environmental criteria for sustainable transport. Report on phase 1 of the project on environmentally sustainable transport (EST) (1996). OECD, 88.
  51. Road Transport Informatics Terminology (2002). Nordic Road Association, Technical Committee, 55.
  52. Han, J., Kamber, M. (2006). Data Mining: Concepts and Techniques. Morgan Kaufmann, 800.
  53. Breiman, L. (2001). Machine Learning. Machine Learning, 45 (1), 5–32. https://doi.org/10.1023/a:1010933404324
  54. Amberg, B., Vetter, T. (2011). Optimal landmark detection using shape models and branch and bound. 2011 International Conference on Computer Vision. https://doi.org/10.1109/iccv.2011.6126275
  55. Bakalar, G., Baggini, M. B. (2016). Automated remote method and system for monitoring performance of ballast water treatment system operation on ships. 2016 International Symposium ELMAR. https://doi.org/10.1109/elmar.2016.7731793
  56. Shahin, M., Ali Babar, M., Zhu, L. (2017). Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices. IEEE Access, 5, 3909–3943. https://doi.org/10.1109/access.2017.2685629
  57. Myhal, V. D., Bazhynova, T. O., Ivanov, A. A. (2019). Bortovi systemy intelektualnoho avtomobilia. Materialy Vseukrainskoi naukovo-praktychnoi konferentsiyi «Avtomobilnyi transport v ahrarnomu sektori: proektuvannia, dyzain ta tekhnolohichna ekspluatatsiya», 95–96. Available at: https://repo.btu.kharkov.ua/jspui/bitstream/123456789/16021/1/Avtomobilnyi%20transport%20v%20ahrarnomu%20sektori_2019-95-96.pdf
  58. Jimoh, O. D., Ajao, L. A., Adeleke, O. O., Kolo, S. S. (2020). A Vehicle Tracking System Using Greedy Forwarding Algorithms for Public Transportation in Urban Arterial. IEEE Access, 8, 191706–191725. https://doi.org/10.1109/access.2020.3031488
Construction of systemic interaction between tools of remote monitoring of the technical condition and operation modes of a truck vehicle

Downloads

Published

2024-02-28

How to Cite

Gritsuk, I., Khudiakov, I., Volodarets, M., Pohorletskyi, D., Pohorletska, N., Ukrainskyi, Y., Petrov, I., Nosov, P., Tazhenov, A., & Litvinov, M. (2024). Construction of systemic interaction between tools of remote monitoring of the technical condition and operation modes of a truck vehicle. Eastern-European Journal of Enterprise Technologies, 1(3 (127), 47–63. https://doi.org/10.15587/1729-4061.2024.298843

Issue

Vol. 1 No. 3 (127) (2024): Control processes

Section

Control processes

License

Copyright (c) 2024 Igor Gritsuk, Igor Khudiakov, Mykyta Volodarets, Dmytro Pohorletskyi, Nadiia Pohorletska, Yevhen Ukrainskyi, Igor Petrov, Pavlo Nosov, Askar Tazhenov, Mikhaylo Litvinov

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.