Justification of the method for determining the dynamic parameters of the mobile fire fighting installation operator

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.272318

Keywords:

fire installation operator, dynamic parameters, test impact, operator response signal

Abstract

The object of this study is the process of functioning of the "man-robot" system. The task to coordinate parameters of the human operator and the robot is investigated. Aligning these parameters is based on the method of determining the dynamic parameters of the human operator using mathematical models that describe two types of relative errors. The first type includes relative errors in determining the dynamic parameters of the operator, which depend on the error in determining the signals characterizing his response to the test impact. The second type of relative errors is the methodical error, which is due to the approximation of partial derivatives.

The formation of a test impact on the operator is carried out using an interactive whiteboard. The method is based on finding the roots of a linear system of algebraic equations, for the construction of which an approximation of partial derivatives from signals characterizing the operator's response to the test effect is used. The parameters of this system of algebraic equations depend on time parameters. Determination of time parameters is carried out using tolerance criteria and using nomograms. When justifying the main parameter of the test impact on the operator – the speed of movement of the fire front on the interactive whiteboard screen, the properties of the angular eye control system of the mobile fire installation operator are used. These properties are formalized as a mathematical model of dynamic error, which occurs in the process of tracking by the operator the image of a fire on the interactive whiteboard screen. To verify the obtained results, a test problem has been solved; it is shown that the error in determining the dynamic parameters of the operator does not exceed 1.0 %.

The results reported here could be used for designing mobile fire installations of a new generation, the structure of which is based on the use of segways

Author Biographies

Yuriy Abramov, National University of Civil Defence of Ukraine

Doctor of Technical Sciences, Professor, Chief Researcher

Research Center

Oleksii Basmanov, National University of Civil Defence of Ukraine

Doctor of Technical Sciences, Professor, Chief Researcher

Scientific Department on Problems of Civil Defense, Technogenic and Ecological Safety

Vitaliy Sobyna, National University of Civil Defence of Ukraine

PhD, Associate Professor, Head of Department

Department of Logistics and Technical Support of Rescue Operations

Oleksandr Kovalov, National University of Civil Defence of Ukraine

PhD, Associate Professor

Department of Logistics and Technical Support of Rescue Operations

Andrey Feshchenko, National University of Civil Defence of Ukraine

PhD, Associate Professor, Senior Lecturer

Department of Logistics and Technical Support of Rescue Operations

References

  1. Paris Firefighters Used This Remote-Controlled Robot to Extinguish the Notre Dame Blaze. Available at: https://spectrum.ieee.org/colossus-the-firefighting-robot-that-helped-save-notre-dame#toggle-gdpr
  2. Firefighter Drones – How Drones are Being Used for Helping Fire Departments. Available at: https://dronenodes.com/firefighter-drones/
  3. Segway-like robots designed to help firefighters and save lives. Available at: https://newatlas.com/firefighting-robot-ffr/27849/
  4. Matheson, E., Minto, R., Zampieri, E. G. G., Faccio, M., Rosati, G. (2019). Human–Robot Collaboration in Manufacturing Applications: A Review. Robotics, 8 (4), 100. doi: https://doi.org/10.3390/robotics8040100
  5. Roveda, L., Maskani, J., Franceschi, P., Abdi, A., Braghin, F., Molinari Tosatti, L., Pedrocchi, N. (2020). Model-Based Reinforcement Learning Variable Impedance Control for Human-Robot Collaboration. Journal of Intelligent & Robotic Systems, 100 (2), 417–433. doi: https://doi.org/10.1007/s10846-020-01183-3
  6. Semeraro, F., Griffiths, A., Cangelosi, A. (2023). Human–robot collaboration and machine learning: A systematic review of recent research. Robotics and Computer-Integrated Manufacturing, 79, 102432. doi: https://doi.org/10.1016/j.rcim.2022.102432
  7. Murali, P. K., Darvish, K., Mastrogiovanni, F. (2020). Deployment and evaluation of a flexible human–robot collaboration model based on AND/OR graphs in a manufacturing environment. Intelligent Service Robotics, 13 (4), 439–457. doi: https://doi.org/10.1007/s11370-020-00332-9
  8. Kaber, D. B. (2017). Issues in Human–Automation Interaction Modeling: Presumptive Aspects of Frameworks of Types and Levels of Automation. Journal of Cognitive Engineering and Decision Making, 12 (1), 7–24. doi: https://doi.org/10.1177/1555343417737203
  9. Müller, R., Oehm, L. (2018). Process industries versus discrete processing: how system characteristics affect operator tasks. Cognition, Technology & Work, 21 (2), 337–356. doi: https://doi.org/10.1007/s10111-018-0511-1
  10. Sharifi, M., Zakerimanesh, A., Mehr, J. K., Torabi, A., Mushahwar, V. K., Tavakoli, M. (2022). Impedance Variation and Learning Strategies in Human–Robot Interaction. IEEE Transactions on Cybernetics, 52 (7), 6462–6475. doi: https://doi.org/10.1109/tcyb.2020.3043798
  11. He, W., Xue, C., Yu, X., Li, Z., Yang, C. (2020). Admittance-Based Controller Design for Physical Human–Robot Interaction in the Constrained Task Space. IEEE Transactions on Automation Science and Engineering, 17 (4), 1937–1949. doi: https://doi.org/10.1109/tase.2020.2983225
  12. Tölgyessy, M., Dekan, M., Hubinský, P. (2018). Human-Robot Interaction Using Pointing Gestures. Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control. doi: https://doi.org/10.1145/3284557.3284718
  13. Casalino, A., Messeri, C., Pozzi, M., Zanchettin, A. M., Rocco, P., Prattichizzo, D. (2018). Operator Awareness in Human–Robot Collaboration Through Wearable Vibrotactile Feedback. IEEE Robotics and Automation Letters, 3 (4), 4289–4296. doi: https://doi.org/10.1109/lra.2018.2865034
  14. Buldakova, T. I., Suyatinov, S. I. (2019). Hierarchy of Human Operator Models for Digital Twin. 2019 International Russian Automation Conference (RusAutoCon). doi: https://doi.org/10.1109/rusautocon.2019.8867602
  15. Surya Atman, M. W., Noda, K., Funada, R., Yamauchi, J., Hatanaka, T., Fujita, M. (2019). On Passivity-Shortage of Human Operators for A Class of Semi-autonomous Robotic Swarms. IFAC-PapersOnLine, 51 (34), 21–27. doi: https://doi.org/10.1016/j.ifacol.2019.01.008
  16. Khudyakova, E. P., Sedelkova, V. A., Tarasenkov, G. G., Chertopolokhov, V. A., Belousova, M. D., Natura, E. S. (2021). Characteristics of operator performance in controlling a virtual lunar rover during simulated lunar gravity. AIP Conference Proceedings. doi: https://doi.org/10.1063/5.0035989
  17. Grootheest, H. A. (2017). Human-Operator Identification with Time-Varying ARX Models. Available at: https://repository.tudelft.nl/islandora/object/uuid:da69d1cf-3274-466f-bbc2-573f571d154e?collection=education
  18. Sobina, V., Hizhnyak, A., Abramov, Yu. (2019). Determination of parameters of the model of the operator of a mobile fire installation. Problemy pozharnoy bezopasnosti, 45, 161–166. Available at: https://nuczu.edu.ua/sciencearchive/ProblemsOfFireSafety/vol45/Sobina.pdf
  19. Abramov, Yu. O., Sobyna, V. O., Tyshchenko, Ye. O., Khyzhniak, A. A., Khmyrov, I. M. (2018). Pat. No. 128951 UA. Prystriy dlia vyznachennia kharakterystyk operatora mobilnoho pozhezhnoho robota. No. u201805111; declareted: 08.05.2018; published: 10.10.2018, Bul. No. 19. Available at: https://base.uipv.org/searchINV/search.php?action=viewdetails&IdClaim=251706
  20. Abramov, Y., Basmanov, O., Krivtsova, V., Sobyna, V., Sokolov, D. (2021). Developing a method for determining the dynamic parameters of the operator of a mobile fire engine based on a Segway. Eastern-European Journal of Enterprise Technologies, 3 (3 (111)), 58–63. doi: https://doi.org/10.15587/1729-4061.2021.233365
  21. Abramov, Yu. O., Sobyna, V. O., Tyshchenko, Ye. O., Khyzhniak, A. A., Danilin, O. M. (2019). Pat. No. 135301 UA. Prystriy dlia vyznachennia kharakterystyk operatora mobilnoho pozhezhnoho robota. No. u201900596; declareted: 21.01.2019; published: 25.06.2019, Bul. No. 12. Available at: https://base.uipv.org/searchINV/search.php?action=viewdetails&IdClaim=259683
Justification of the method for determining the dynamic parameters of the mobile fire fighting installation operator

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Published

2023-02-28

How to Cite

Abramov, Y., Basmanov, O., Sobyna, V., Kovalov, O., & Feshchenko, A. (2023). Justification of the method for determining the dynamic parameters of the mobile fire fighting installation operator. Eastern-European Journal of Enterprise Technologies, 1(2 (121), 72–78. https://doi.org/10.15587/1729-4061.2023.272318

Issue

Vol. 1 No. 2 (121) (2023): Information technology. Industry control systems

Section

Industry control systems

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Copyright (c) 2023 Yuriy Abramov, Oleksii Basmanov, Vitaliy Sobyna, Oleksandr Kovalov, Andrey Feshchenko

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