SYSTEM-INFORMATION APPROACH TO UNCERTAINTY OF PROCESS AND SYSTEM PARAMETERS

Authors

DOI:

https://doi.org/10.30837/ITSSI.2021.17.091

Keywords:

system-information approach, discrete probabilistic information, uncertainty, Planck units

Abstract

The subject matter of research in the article is a system-information approach to the uncertainty of the parameters of processes and systems of the technosphere as one of the scientific directions of using information theory in metrology and other scientific areas. The system-information approach is based on the definition of the term "information" of the properties of the system, its content and meaning. The solution of the basic problem in metrology, obtaining "information" of the quantitative characteristics of the true value of the properties of objects and phenomena that reveal the regularities of the environment, is a complex scientific problem. The instrument for obtaining information about the properties of the system is the measurement process. One of the directions in the development of measurement theory is the concept of uncertainty. The goal of the work is to research of non-traditional solutions to problems of technical-cybernetic systems based on the system-information approach to the uncertainty of the parameters of processes and systems. The article solves the following tasks: to analyze the assessment of the parameters of technological processes and systems based on the system-information approach; to develop system-information methods and algorithms for the effective use of discrete-probabilistic information in technical-cybernetic systems; to develop principles and approaches for using the system-information assessment of the uncertainty of the Planck units, use of system-information modeling in various scientific directions. The following methods are used: system-information approach to processes and systems, methodology of system-information modeling of the measured value; system information methodology for the assessment of the measured quantity and uncertainty. The following results were obtained: developed a system-information methodology for assessing the nominal parameter has been developed, which provides indirect control over the independent parameters associated with it; systemic and information methods for the effective use of discrete-probabilistic information in technical and cybernetic systems have been developed; a system-information methodology for calculating the energy equivalent of product performance indicators has been developed; the principle of calculating the efficiency of manufacturing a product based on the energy equivalent of Planck units is formulated. Conclusions: The solution of the set tasks on the basis of the system-information approach to the uncertainty of the parameters of processes and systems makes it possible, from the system-information point of view, to study the regularities of the stages of the life cycle of technical-cybernetic systems and conservation laws.

Author Biography

Sergey Lutskyy, Kharkіv National University of Radio Electronics

PhD (Engineering Sciences), Senior Lecturer of the Department of Metrology and Technical Expertise

References

Samorodov, N. V. (2009), "Chance for survival, or Engineering ecology and management of the technosphere", Biology, No. 21.

Lutskiy, S. V. (2008), Theoretical foundations of the system-information approach to technological processes and systems : Monograph, 238 p.

Ruzhentsev, I. V., Lutskiy, S. V. (2016), "The world of discrete-imovirnoy information during the previous processes of systems", Metrology and Priladi, Р. 43–46.

Gustav, O., Dzhanguindo P. (2001), Digital Automation and Control Systems, St. Petersburg, 557 p.

Hartley, R. L. (1959), Information Transmission: Information Theory and Its Applications, 325 p.

Shannon, K. (1963), Works on information theory and cybernetics, 830 p.

Lutskiy, S. V. (2016), "Evidence about the restoration of copyright for TV", System-informatsionnyy pidhid to the processes of that systems, State Service of Intellectual Power of Ukraine, No. 63746, Issue on January 22.

Finkelstein, L. (1982), Theory and Philosophy of Measurement : HendBook of measurement Science. Vol. 1, Edited By P. H. Sydenham, 412 p.

Zakharov, I. P., Kukush, V. D. (2002), Measurement uncertainty theory : Textbook, Manual, 256 p.

Kolmogorov, A. N, Fomin, S. V. (1989), Elements of the theory of functions and functional analysis : Textbook for universities 6th ed. rev., 624 p.

Tsіdelko, V. D., Yaremchuk, N. A. (2002), Processing of the data and giving the result to the result : Monograph, 176 p.

Pavlenko, Y. F., Kondrashov, S. І., Nezhmakov, P. I., Maslova, N. M. (2013), Introduction to Quantum Metrology : Navch. posib / for ed. Pavlenka Yu. F., 148 p.

Planck, M. (1990), Permanent observer of the Prussian Academy of Sciences -1899, P. 440 annealing of Phzsik, Vol. 1, P. 69.

Kononogov, S. A. (2008), Metrology and fundamental physical constants, 269 p.

Tomilin, K. A. (2002), "Planck quantities – 100 years of quantum theory. History. Physics. Philosophy", Proceedings of the International Conference, NIA-Priroda, P. 105–113.

Nogin, V. D. (2020), Set and the Pareto principle, SPb : Publishing and Printing Association of Higher Educational Institutions, 100 p.

Ed. Kosilova, A. G., Meshcheryakova, R. K. (1985), Handbook of a technologist of a mechanical engineer, In 2 volumes C74 T1, 4th bridle, rev. and add., 656 p.

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Published

2021-10-20

How to Cite

Lutskyy, S. (2021). SYSTEM-INFORMATION APPROACH TO UNCERTAINTY OF PROCESS AND SYSTEM PARAMETERS. INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES, (3 (17), 91–105. https://doi.org/10.30837/ITSSI.2021.17.091