To develop processing lines, it is necessary to calculate the level of integrity of technological systems and determine the stability of subsystems at a certain level of stability. The complex analysis allows us to study a change in the entropy of the system (the growth of system stability) by describing the mechanism of structural information accumulation. Identifying the ranges of variation of adjustable operating parameters using the proposed approach for energy and resource saving and predicting the stability of the line at the design stage, reducing the subjectivity of estimation of technologies and their hardware design, is original and, in this regard, relevant. The studies were conducted to justify the estimation of the stability of the technological flow as a system and its subsystems in their interconnection at a certain level of stability using the method for estimating fuzzy entropy on the basis of analysis of material and technical flows. The study objects are the integrity of technological and technical systems, the stability of processes, operations and equipment operation. As a result of the analysis of technological flows and a change in the entropy of the technical system, the mechanism of accumulation of structural information entropy has been studied. The carried out analytical and experimental studies have confirmed the possibility of predicting the stability of the operation of technical and technological systems, as well as the expediency of determining the ranges of variation in the parameters of operation of the lines, technological limits and the quality indicators of the finished and semi-finished products. Thus, this method is recommended for use in the food industry.
Theory of technological flow, system analysis, entropy, stability of technological systems, energy and resource saving
1. Antipov S.T. Sistemnoe razvitie tekhniki pishchevykh tekhnologiy [System development of technology of food technologies]. Moscow: Kolos Publ., 2010. 760 p.
2. Antipov S.T., Panfilov V.A., Urakov O.A., and Shakhov S.V. Sistemnoe razvitie tekhniki pishchevykh tekhnologiy [System development of technology of food technologies]. Moscow: Kolos Publ., 2010. 762 p.
3. Glazunov Yu.T., Ershov A.M., and Ershov M.A. Modelirovanie protsessov pishchevykh proizvodstv [Modelling of processes of food production]. Moscow: Kolos Publ., 2008. 360 p.
4. Gorenkov E.S., Turkin J.K., Alkaev D.S., and Tolkachev V.F. Technological stream of packing and corking of diphasic fruit-and-vegetable canned food. Food processing industry, 2011, no. 10, pp. 12–13. ( In Russian).
5. Ivashov V.I. Tekhnologicheskoe oborudovanie predpriyatiy myasnoy promyshlennosti [Technological equipment of meat industry enterprises]. St. Petersburg: GIORD Publ., 2007. 464 p.
6. Kovalevskiy V.I. Proektirovanie tekhnologicheskogo oborudovaniy ai liniy [Design of process equipment and lines]. St. Petersburg: GIORD Publ., 2007. 320 p.
7. Kononov N.S., Dunchenko N.I., and Afanasov E.E. Formalization of the technological process of yogurt products on the basis of system analysis. Izvestia vuzov. Pishchevaya tekhnologia, 2003, no. 1, pp. 64–66. (In Russian).
8. Panfilov V.A. Teoriya tekhnologichesko gopotoka [Process flow theory]. Moscow: Kolos Publ., 2007. 319 p.
9. Rebane K.K. Energiya, entropiya, sredaobitaniya [Energy, entropy, habitat]. Tallinn: Valgus Publ., 1984. 159 p.
10. Satina L.I. The Results of systematic research of manufacture papiros. Apriori. Series: natural and technical sciences, 2016, no. 5, p. 13. (In Russian). Available at: http://www.apriori-journal.ru/seria2/5-2016/Satina.pdf. (accessed 11 November 2017).
11. Chernov V.G. Osnovy teorii nechetkikh mnozhestv [Fundamentals of the theory of fuzzy sets]. Vladimir: VlSU Publ., 2010. 96 p.
12. Nugmanov A.Kh.-Kh. Nauchno-prakticheskie podkhody k konstruirovaniyu mnogokomponentnykh pishchevykh sistem v tekhnologii obshchestvennogo pitaniya [Scientific and practical approaches to the design of multicomponent food systems in public catering technology]. Astrakhan: PE Sorokin Roman Vasilyevich, 2016. 96 p.
13. Deshmukh K.C., Khot P.G., and Nikhil N. Generalized measures of fuzzy entropy and their properties. World Academy of Science, Engineering and Technology, 2011, no. 80, pp. 93–106.
14. Katok A. and Hasselblatt B. Introduction to the Modern Theory of Dynamical Systems. Cambridge University Press, 1995. 822 p.
15. Moejes S.N.B. and van Boxtel A.J. Energy saving potential of emerging technologies in milk powder production. Trends in Food Science and Technology, 2017, vol. 60, no. 2, pp. 31–42. DOI: 10.1016/j.tifs.2016.10.023.
16. Arvanitis S., Peneder M., Rammer C., Stucki T., and Woerter M. Development and utilization of energy-related technologies, economic performance and the role of policy instruments. Journal of Cleaner Production, 2017, vol. 159, no. 8, pp. 47–61. DOI: 10.1016/j.jclepro.2017.04.162.
17. Hegde S., Lodge J.S., and Trabold T.A. Characteristics of food processing wastes and their use in sustainable alcohol production. (Review). Renewable and Sustainable Energy Reviews, 2018, vol. 81, pp. 510–523. DOI: 10.1016/j.rser.2017.07.012.
18. Irani Z., Sharif A.M., Lee H., et al. Managing food security through food waste and loss: Small data to big data. Computers and Operations Research, 2017. https://doi.org/10.1016/j.cor.2017.10.007. (In press).
19. Yang Z., Shao S., Yang L., and Liu J. Differentiated effects of diversified technological sources on energy-saving technological progress: Empirical evidence from China's industrial sectors. Renewable and Sustainable Energy Reviews, 2017, vol. 72, no. 5, pp. 1379–1388. DOI: 10.1016/j.rser.2016.11.072.