Monitoring Subsystem Design Method in the Information Control System

Abstract

The article proposes a method for designing and optimizing the monitoring subsystem in the information control system on the example of a grain drying equipment control system. The modern control systems of grain drying equipment provide the presence of an automated system for monitoring the humidity and grain temperature, the development of which should be based on objective data on the grain state at each point of the grain layer. These data can be obtained by analyzing the regularity of temperature and grain dynamics based on heat and mass transfer equations. The article proposes a method for determining the scheme of optimal placement of sensors of temperature and grain moisture, as well as the frequency of polling of sensors for conveyor type grain drying equipment based on the one-dimensional spectral analysis method. For the study, we used data obtained with the help of a mathematical model of the drying process of grain, using the finite difference method. After selecting the characteristic parameters for a specific type of grain and grain drying equipment, the proposed method of optimization of the automated monitoring system can be used to solve many problems, such as determining the static and dynamic characteristics of grain drying equipment, drying parameters selection and optimization, monitoring tasks and process control solution. The developed method for determining the optimal placement of sensors and the frequency of their sampling based on the method of one-dimensional spectral analysis allows to avoid information redundancy and simplify the technical implementation of the monitoring system, the effectiveness of which determines the efficiency of the entire information control system of the grain drying process.