Abstract
This article considers the issues of automating the processes of student physical training for professional activity as part of engineering education under the society's transition to Industry 4.0. In these conditions the role of scientific, theoretical, methodological and practical substantiation of the necessity to use information and communication technologies for the student physical fitness in the professional activity is actualized. One of the main areas of optimizing the process of student physical training in engineering universities is the construction of individual path of student physical training based on the differentiation of training loads adapted to the level of student physical fitness. The problem of educational and training load managing on the basis of continuous record of the indicators of the main morphofunctional body systems can be solved by creating and implementing the innovative methods of educational process arrangement using the information systems. Building a system to control the physical training process with the use of information technologies defines the mathematical formulation of the control task and the development of algorithms for its solution. To formalize the process of physical training, mathematical and functional models have been developed as the basis for building an information system to control student physical training. The article also provides the substantiation of the proposal to use the Industry 4.0 technology for solving the automation problems of physical training management for engineering students.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Elshawi, R., Sakr, S., Talia, D., Trunfio, P.: Big data systems meet machine learning challenges: towards big data science as a service. Big Data Res. 14, 1–11 (2018). https://doi.org/10.1016/j.bdr.2018.04.004
Gai, K., Li, S.: Towards cloud computing: a literature review on cloud computing and its development trends. In: 4th International conference on multimedia and security, Nanjing, Jiangsu, November 2012, pp. 142–146 (2012). https://doi.org/10.1109/MINES.2012.240
Klymash, M., Maksymyuk, T., Dumych, S., Yaremko, O.: Designing the industrial and environmental monitoring system based on the internet of things architecture. In: 4th international symposium on wireless systems within the international conferences on intelligent data acquisition and advanced computing systems, Lviv, September 2018, pp. 187–190 (2018). https://doi.org/10.1109/IDAACS-SWS.2018.8525545
Shkodyrev, V.P.: Technical systems control: From mechatronics to cyber-physical systems. Stud. Syst., Decision Control 49, 3–6 (2016)
Tsvetkov, V.: Kiberfizicheskiye sistemy (Cyber physical systems). Mezhdunarodnyy zhurnal prikladnykh i fundamental'nykh issledovaniy. Int. J. Appl. Fund. Res. 6–1:64–65 (2017)
Ivantsov, P.P., Lukyanov, A.B., Lukyanov, B.G., Stepanov, V.S.: Iskusstvennyy intellekt v sportivnoy trenirovke (Artificial intelligence in sports training). Ministerstvo kul'tury Rossiyskoy Federatsii, Sankt-Peterburgskiy gosudarstvennyy institut kino i televideniya, Sankt-Peterburg (2021)
Gavrilkevich, M.V.: Vvedeniye v neyromatematiku (Introduction to neuromathematics). Obozreniye prikladnoy i promyshlennoy matematiki 1–3, 381–388 (1994)
Manzhula, V.G., Fedyashov, D.S.: Neyronnyye seti Kokhonena i nechetkiye neyronnyye seti v intellektual’nom analize dannykh (Kohonen neural networks and fuzzy neural networks in data mining). Fundamental’nyye issledovaniya 4, 108–114 (2011)
Martynov, V., Filosova, E., Shiryaev, O., Sakal, P.: Methods of virtual modeling of dynamic educational programs in terms of different manufacturing sectors requirements. J. Phys: Conf. Ser. 4, 012006 (2018). https://doi.org/10.1088/1742-6596/1084/1/012006
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Martynov, V., Lukyanov, A., Lukyanov, B. (2024). Management of Student Physical Training for Professional Activity as Part of Engineering Education in Digital Era. In: Radionov, A.A., Gasiyarov, V.R. (eds) Advances in Automation V. RusAutoCon 2023. Lecture Notes in Electrical Engineering, vol 1130. Springer, Cham. https://doi.org/10.1007/978-3-031-51127-1_24
Download citation
DOI: https://doi.org/10.1007/978-3-031-51127-1_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-51126-4
Online ISBN: 978-3-031-51127-1
eBook Packages: EngineeringEngineering (R0)