E.V. Naidenov - Post-graduate Student, Assistant, Department of Electronics and Microprocessor Engineering, Smolensk branch of «National Research University «MPEI» E-mail: nzettez@gmail.com L.L. Ljamets - Ph. D. (Eng.), Associate Professor, Department of Electronics and Microprocessor Engineering, Smolensk branch of «National Research University «MPEI» E-mail: lll190965@yandex.ru I.V. Yakimenko - Dr. Sc. (Eng.), Associate Professor, Department of Electronics and Microprocessor Engineering, Smolensk branch of «National Research University «MPEI» E-mail: jakigor@rambler.ru

A study of the concept of the technological process as the basis of the production process. The purpose of research is to obtain new scientific knowledge to solve the problems of automation and process optimization. The technological process, which is an integral part of the production process for the manufacture of products from raw materials, is a complex reality. To describe it is necessary to develop an appropriate model complexity. The network model to study the behavior of the process, and, in the long term to solve practical problems on optimization and automation. The article introduces new definitions and terms. Description of the network model of the process by means of a formal (mathematical) language can cause a number of difficulties in perception. This is due to the need to handle a huge array of data, which requires complex mathematical structure. A way to describe the network model of a complex process with elements of semiotics. This solution allows us to represent the object under study and its components visually (illustrative) and refuse to work directly with the mathematical structures. An example of the use of this approach is the representation of an object of research in the form of a geometric figure. The proposed solution allows for the study of complex objects at the level of visual perception and describe the behavior of all its functional components through appropriate visual design complexity. The proposed method of description as practically applied to describe the network model examples. The method allows reflecting the specifics of the network model, which takes into account the conversion of information, matter and energy, flowing through time and space.

 

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