The paper discusses the basic operation principles of information-measuring systems for optimization wheat grain processing. The quality of grain processing products (cereals, flour, etc.) is influenced by both weather and climatic factors and grinding technologies. The modern development of information technologies makes it possible to modernize the existing information-measuring systems for grain processing and create new ones through the development of algorithms for analyzing the physical characteristics of the grain mass. During the study, test grinding of wheat grains of different varieties was carried out in a laboratory mill. To increase the yield of the finished product, digitalization of the selection of optimal grain separation modes was used. The obtained mathematical models allow predicting the quality of grain separation in separators of various types. The digitalization of the grain processing industry includes the use of artificial neural networks to analyze images of the grain mass using computer vision algorithms. It is promising to increase the information content of granulometric analysis using modern intelligent (information-measuring) systems. For the classification of wheat according to the milling properties, it is proposed to use the grain hardness. The studies used computer vision and artificial neural networks to find and organize the particles of grain grinding by geometric properties. The characteristics of the contours of the images of the grinding particles were taken into account. The values obtained by the developed information-measuring system were compared with that obtained using the Russian State Standard GOST methods. The error in assessing the grain hardness by the new method does not exceed 3.5%. The use of modern information tools allows improving the quality of wheat grain processing.

The article presents the results of a comparative assessment of the elasticity and rigidity of various morphological elements of wheat grain depending on the nature of the grain (normal, frosted, after drying, after scouring machines). The dependences of the rigidity of wheat grain on the structure, chemical composition and humidity are described. A close correlation was revealed between the structural and mechanical properties of wheat, assessed by microhardness, strength index, and the results of laboratory and industrial grinding of wheat grains of various consistencies. For different consistency of wheat grain, microhardness was determined using the microhardometer “Miniload”, and the strength index was determined using the Brabender’s hardness tester. At relatively low stresses, the shells have flexural elasticity. IT was detected that with increasing humidity, the rigidity of the shells during bending decreases. It was found that for hard and hard-grained varieties of soft wheat, the compression force is required 2-4 times more than for soft-grained varieties. It is shown that the microhardness of glassy grains of hard-grained and soft-grained wheat varieties is basically at the same level. At the same time, with increasing humidity, the microhardness of the grain decreases regardless of the variety, area of growth and vitrescence of wheat.

The article describes principles of using the information measuring system that controls a roller machine. The main indicators of efficiency of a roller machine is performance and product quality. A mechanism for feeding the roller mill is crucial when grinding grain. Automatic regulation of technical parameters of the feeding mechanism of roller machines is advisable: at low peripheral speed rates (up to 2.4-2.8 m/s) - by changing the number of revolutions of feeding rollers or the gap value; at high peripheral speed rates (2.4-2.8 m/s) - by changing the values.

The article presents the basics of the functioning of information and measurement systems for optimizing the process of processing wheat grain. The quality of grain processing products is influenced by climatic factors and grinding technologies. The modern development of information technology makes it possible to modernize information and measurement systems for grain processing and developing algorithms for analyzing the grain physical characteristics. Trial grinding of wheat grains by different varieties was carried out at a laboratory mill. The obtained mathematical models made it possible to predict the quality of grain separation in separators. Digitalization of the grain processing industry includes the use of artificial neural networks for the analysis of images of grain mass by computer vision algorithms using the developed software. It is promising to increase the information content of granulometric analysis through the use of modern intelligent systems. To classify wheat by milling properties, it is proposed to use the grain hardness index. Computer vision and artificial neural networks were used to find and systematize grain grinding particles according to geometric properties. The error of the estimation for the hardness is no more than 3.5 %.

The article discusses issues related to the rational use of by-products of cereal production. A comparative characteristic of the chemical composition of by-products of cereal production is given. The ways of using secondary raw materials of cereal production in the production of products for the prevention of diabetes mellitus are outlined.