Assessment of the State of Production System Components for Digital Twins Technology

Buldakova, T. I.; Suyatinov, S. I.

doi:10.1007/978-3-030-32579-4_20

Cited by 20 publications

(1 citation statement)

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“…Methods based on the calculation and analysis of information entropy are widely used in assessing the state of a complex system [27][28][29]. Evaluation of entropy allows to assess the complexity of the production system, the level of organization and stability of work, the state of workability of the human operator.…”

Section: Entropy Methods For Assessing the State Of A Complex Systemmentioning

confidence: 99%

Educational Laboratory Complex for the Study of Complicated Systems

Suyatinov

2020

ITM Web Conf.

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Laboratory practice is an important part of the educational process in a technical university. It helps to develop the skills of independent work of a future engineer and to consolidate theoretical knowledge. Due to a change-over to the digital economy, the introduction of complex production systems and their digital twins, the organization of laboratory work corresponding to the current state of the art gets more complicated. The article presents a biotechnological educational research complex for laboratory practice of the future specialists in the field of managing complex organizational and technical systems. Main feature of the complex is that the student performs two functions at the same time. He is both a researcher and an object of study, representing a complex system. The initial information in the process of laboratory work is the biosignals registered by mini sensors. The main purpose is to identify and evaluate the functional state of a person as a complex system. Various methods and algorithms for processing time series are used. Being an effective form of active learning, this approach motivates the student not only to acquire knowledge, but also to actively search for it. We give an example of using the complex to create a digital twin.

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Section: Entropy Methods For Assessing the State Of A Complex Systemmentioning

confidence: 99%