Development of intellectual complex for adaptive control of microclimate parameters of flour storage processes

Abstract

In the modern socio-economic and geopolitical development of Russia, the development of agriculture and food industry comes to the fore. As a result, the requirements to the quality and safety of the finished product increase many times, which significantly affects its competitiveness. Storage of flour is one of the most important stages of the technological process of flour production. Bulk storage of flour in silos is a complex technological process, which is largely affected by the environment (temperature, pressure, humidity, etc.).Today, neural networks can solve a wide range of data processing and analysis tasks-pattern recognition and classification, prediction and management. This article presents the development of an intelligent complex for adaptive control of microclimate parameters of flour storage processes and improving the efficiency of management of technological processes of flour storage through the use of intelligent technologies. A mathematical model of the control object was developed taking into account the inherent internal relationships between the parameters of the technological regime and external perturbing factors. Processing of research results was carried out using the software MatLab.