Peculiarities of development intelligent control systems for the production of entomophages
DOI:
https://doi.org/10.31548/energiya2021.03.04Abstract
The article reveals the features of the development of intelligent control systems for the production of entomophages, the relevance of the selected research area is determined.
The aim of the study was to substantiate the feasibility of using intelligent control systems in the production of entomophages. Object of research – management process the cultivation of caterpillars Ephestia kuehniella in a specialized box in the production of entomophage Habrobracon hebetor. Research methods – systems approach, data mining, semantic modeling, situational management.
A structural diagram of a hybrid intelligent system for controlling the air temperature of a box for growing entomocultures has been developed; knowledge representation model in relation to the construction of a hybrid intelligent control system in the form of a predicate semantic network. The production rules of the knowledge base of the intelligent control system have been developed, which allow to clarify the process of its creation. At the same time, attention is focused on: the sequence of formation of the training sample, which affects the accuracy of control of the air temperature of the box and, accordingly, the costs of electricity; use of ANFIS-editor MATLAB, which developed a self-learning neural network that automatically created a knowledge base regarding dependency the temperature setting of the meter-controller from the error of air temperature regulation.
The expediency of using intelligent control systems in the production of entomophages has been scientifically substantiated. Formalized process of creating a hybrid intelligent box air temperature control system for growing entomocultures in the form of a predicate semantic network using production rules. The abovementioned makes it possible to systematize knowledge in relation to the processes of managing the production of entomophages, improve energy efficiency and the level of automation of the production process, which has a positive effect on both the state of the biological component of the object and the economy of the enterprise.
The research results were introduced in the laboratory production of the entomophage Habrobrakon hebetor.
Key words: hybrid intelligent control system, production of entomophages, predicate semantic networks
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