Abstract
The work discusses the basics of active monitoring, creative and cognitive machinery process, technical systems, energy processing technologies, and control. The aim of this study was to describe, analyze and assess the idea and techniques of auto-monitor of the grainy biomass processing environment illustrated with an example of comminution technology. In order to achieve the purpose, a problem was identified and solved: what technical conditions of measures and ways of active auto-monitoring supported with active cognition of temporary states and changes in comminution properties are required for autonomous completion of the process with regard to the proposed states: a top product quality, high efficiency of the process, low impact of a product and the process of grain comminution for energy purposes? To resolve the problem created structure of auto-monitoring system and conducted simulation on multi disc mill. It was assumed that by applying genetic algorithms in the process of auto-monitoring it is possible to increase a particle-size quality of a product, improve process performance by 25.5% and ensure product harmlessness (elimination of dust contamination). It is desirable to use auto-monitoring (self-cognitive) systems to control comminution processes in power plants (also chemical and food plants) or to monitor biomass processing chain.
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