USE OF INTELLECTUAL TECHNOLOGIES FOR QUALITY CONTROL OF CURD
https://doi.org/10.20914/2310-1202-2015-1-110-115
Abstract
In this article, we consider additional method of quality control of curds by organoleptic properties. Method consists in construction of neural network model to estimate quality of curds by input and output parameters. Quality control of curds by organoleptic properties is not necessary according to state standard specification, therefore we use exemplary 5-score scale for organoleptic estimation. Author gives an example of fundamental operation which is necessary for neural networks projection and gives recommendation for integrated hardware/software solution design. This method makes easier quality control of final product because operator can react on digression in the technological process in proper time (use data recommended by neural network), predict quality of final product in case when technological parameters deviate from the norm.
About the Authors
M. M. Blagoveshchenskaya
Moscow state university of food production
Russian Federation
Professor, Department of information technologies and automated systems
Russian Federation
Professor, Department of information technologies and automated systems
G. R. Davydova
Moscow state university of food production
Russian Federation
Graduate, Department of information technologies and automated systems
Russian Federation
Graduate, Department of information technologies and automated systems
N. A. Semina
Moscow state university of food production
Russian Federation
Associate Professor, Department of information technologies and automated systems
Russian Federation
Associate Professor, Department of information technologies and automated systems
I. G. Blagoveshchenskii
Baumann Moscow State Technical University
Russian Federation
Professor, Department of theoretical mechanics
Russian Federation
Professor, Department of theoretical mechanics
References
1. Brizhasheva O.V. Marketing torgovli [Marketing of trade]. Ulyanovsk: UlSTU, 2007.170 p. (In Russ.).
2. Rebrin U.I. Upravlenie kachestvom [Quality control]. Taganrog: TSRU, 2004. 174 p. (In Russ.).
3. Apanasenko S.I., Blagoveshchenskaya M.M. System of quality control indicators of foodstuff based on neural network algorithms. Sbornik dokladov II konferentsii molodykh uchenykh «Reologiya i fiziko-khimicheskaya mekhanika geterofaznykh sistem» [Collection reporters IIth Int. Conf. «Rheology and physical-chemical mechanics of heterogeneous systems»], Moscow, 2009, pp. 65-67. (In Russ).
4. Merkulova N.G. Proizvodstvennyi kontrol’ v molochnoi promyshlennosti: prakticheskoe rukovodstvo [Production control in the dairy industry: practical guide]. Saint Petersburg: Professiya, 2009. 656 p. (In Russ.).
5. Apanasenko S.I., Blagoveshchenskaya M.M. About creation of regulation system for quality indicators of foodstuff with neural networks. Sbornik dokladov mezhdunarodnoi nauchnoi konferentsii studentov i molodykh uchenykh «Ecologicheski bezopasnye, resursosberegauyshchie tekhnologii i sredstva pererabotki sel’skokhozyaistvennogo suyr’ya i proizvodstva prodyktov pitaniya» [Collection reporters Int. Conf. «Environment friendly, resource-saving technologies and processing facilities of agricultural raw materials and food production»]. Moscow, 2009, pp. 157-159. (In Russ.).
6. Apanasenko S.I., Blagoveshchenskaya M.M. Neural networks application for elaboration of automated system to adjust recipes of confectionery products. Sbornik dokladov nauchnogo seminara «Intensifikatsiya i avtomatizatsiya protsessov obrabotki pishchevykh produktov» [Collection reporters Int. Conf «ntensification and automation the processing of foodstuffs»]. Moscow, 2010, pp. 26-30. (In Russ.).
7. Apanasenko S.I., Blagoveshchenskaya M.M. Elaboration of virtual sensors based on neural network algorithms for determination of food masses quality indicators. Vestnik Voronezhskogo gosudarstvennogo universiteta inzhenernykh tekhnologii [Bulletin of the Voronezh State University of Engineering Technology], 2010, no. 2, pp. 5-8. (In Russ.).
8. Shaverin A.V., Blagoveshchenskaya M.M. Research of contemporary automatized process lines possibilities for developing intellectual module of forecasting confectionery products flavor. Sbornik dokladov V Uybileinoi shkoly-konferentsii s mezhdunarodnym uchastiem «Vysokoeffektivnye pishchevye tekhnologii, metody i sredstva dlya ikh realizatsii» [Collection reporters Vth Int. Conf. «Highly effective food technologies, methods and facilities for its achievement»]. Moscow, 2007, pp. 391-393. (In Russ.).
9. Shaverin A.V., Blagoveshchenskaya M.M. Creation of a hardware-software complex for taste estimation of confectionery products. Sbornik dokladov II konferentsii molodykh uchenykh «Reologiya i fiziko-khimicheskaya mekhanika geterofaznykh sistem» [Collection reporters IIth Int. Conf. «Rheology and physical-chemical mechanics of heterogeneous systems»]. Moscow, 2009, pp. 58-60.
10. Shaverin A.V., Blagoveshchenskaya M.M. The automatized system of intellectual control of chocolate products taste. Khranenie i pererabotka sel’khozsyr’ya [Storage and processing of agricultural products], 2009, no. 11, pp. 55-57. (In Russ.).
Review
For citations:
Blagoveshchenskaya M.M., Davydova G.R., Semina N.A., Blagoveshchenskii I.G. USE OF INTELLECTUAL TECHNOLOGIES FOR QUALITY CONTROL OF CURD. Proceedings of the Voronezh State University of Engineering Technologies. 2015;(1):110-115. (In Russ.) https://doi.org/10.20914/2310-1202-2015-1-110-115
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