Modernization of information-measuring systems for grain processing

Vitaliy Fedotov,Sergey Solovykh,Y Smyatskaya,T Aktar

doi:10.1051/e3sconf/202124701010

Abstract

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.

Highlights

In the European Union countries, the grain crops’ growing essentially depends on the weather conditions
The low wheat harvest was exacerbated by the subsequent dry spring
A method is proposed for predicting the grain hardness through the use of modern means of informatization of the grain processing industry

Summary

Introduction

In the European Union countries, the grain crops’ growing essentially depends on the weather conditions. In 2020, 9.65 million tons of grain was harvested in the UK This is 40.5% less than in the previous year, due to the reduction in winter wheat plantings by farmers after the wet fall of 2019. In the five years, Russian agrarians will expand the sown area by 40% by introducing new varieties of wheat and modernizing production technologies. This will increase the yield of durum wheat to 2 million tons per year. Stimulation of durum wheat production will be supported by subsidies at the federal level, a corresponding draft regulation has been prepared for the allocation of subsidies for the production of such grain [1]

Methods

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Conclusion