Intellectual factory for bakery production

Khorolsky, Valentin and Хорольський, Валентин Петрович and Хорольский, Валентин Петрович and Korenets, Yuriі and Коренець, Юрій Миколайович and Коренец, Юрий Николаевич and Kopayhora, Olga and Копайгора, Ольга Костянтинівна and Копайгора, Ольга Константиновна and Tkach, M. and Ткач, М. С. and Ткач, М. С. (2020) Intellectual factory for bakery production. Обладнання та технології харчових виробництв (1 (40)). pp. 66-79. ISSN 2079-4827

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Abstract

An intelligent system for automated control of the production of bakery products has been developed, in which the disturbance analysis of raw materials, water and equipment is performed using a system for monitoring the performance of technological equipment. Systems for monitoring the operating characteristics of equipment and the quality of water, raw materials, dough, dough, based on agent technologies, make it possible to build adaptive control systems (ACS) on the basis of fuzzy regulators by a dough preparation complex and bread baking. The construction of adaptive self-propelled guns allows the synthesis of fuzzy controllers for elementary operations of technological processes for the production of bread, taking into account the nonlinearity of the control object. It is proved that the development of the reference problem in the conditions of uncertainty of external and internal disturbances that are not controlled by sensors can be evaluated by an expert system for the formation of laws for controlling the technological process of bread production. Taking into account the knowledge and skills of operating personnel in an expert management system for agent technologies for monitoring the performance of equipment and the quality of raw materials, including water, allows you to build robust intelligent control systems for the bakery with the optimization of its performance parameters and the minimization of specific energy costs. The development of multi-purpose control systems for technological processes of bakery production based on product quality control and intelligent technologies will help increase labor productivity and reduce the specific losses of food, energy and other types of resources.

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