Information support of the optimal management cultivation entomophages

Abstract

The work is devoted to the issues of information support for optimal control of the production of entomophages; its goal is to develop a method, and on its basis an algorithm for the optimal control of the production of entomophages through the use of intelligent algorithms for processing information. Research methods - system analysis, hierarchical tree of inference, fuzzy logic. Object of management - processes of cultivation Ephestia kuehniella, insect-host entomophage Habrobracon hebetor.

The сultivation of entomophages is considered from the standpoint of a complex dynamic biotechnical system that has a certain number of interconnected processes - basic, auxiliary and maintenance processes. The main processes are the breeding of the insect-host, the breeding of the insect-parasite (predator), the control of the quality of entomological products, the storage of an insect-parasite (predator). From the point of view of the theory of control, the processes of production of entomophages represent objects whose basic features are hierarchy, organization, limitation, description sets, stochasticity. Identification of the properties of the biological component of the process of production of entomophages, in particular, prediction of the dependence of entomocultural quality indicators on the parameters of technocenoses for their use in the formation of strategies for optimal management of entomophage cultivation, requires the use of new approaches that increase the efficiency of production. The use of intelligent information technologies in the production of entomophages creates conditions for: the adoption of correct decisions to ensure the appropriate quality of entomocultures; automation of weakly structured tasks; formation of production management strategies based on information on biological indicators of entomocultures quality.

A technique is developed on the basis of which an algorithm for optimal control of cultivation of entomophages using the hierarchical tree of logical inference and the theory of fuzzy logic has been developed. The criterion for optimizing the management of entomophage cultivation was determined by maximizing the complex index of entomoculture quality.

The control algorithm for cultivating entomophages is the control of the biological parameters of the quality of the entomocultures depending on the set of technocenoses parameters, computation of integrated indicators of the quality of entomocultures, search of the technocenoses parameters, which ensure maximization of the complex index of entomoculture quality.

Based on the results of experimental studies conducted at the Biotechnica Institute of Technology, the factors influencing the complex quality index of Ephestia kuehniella, the insect host of the entomophage Habrobracon hebetor, are classified as a hierarchical tree of logical inference, in the form of a hierarchical tree of logical inference, a knowledge base was created and fuzzy inference surfaces were obtained, which allow, on the basis of information on the dependence of the complex quality indicator of entomocultures on technocenosis parameters, to formulate optimal strategies for managing the production of entomophages in conditions of limited input information, reduce energy costs for making decisions to ensure the quality of entomocultures, formalize the poorly structured processes of cultivation entomocultures, increase the economic efficiency of production.

Key words: optimal control, cultivation of entomophages, method, hierarchical tree