Methodological bases of building intellectual management system for production of entomophages
Keywords:
fuzzy logic, hybrid neural network, cognitive map, quality, profit.
Abstract
Goal. To develop methodological grounds for building an intellectual management system for the production of entomophages. Methods. System analysis, cognitive approach, fuzzy logic, neural network. Results. They developed an intelligent production management system of the entomophage bracon (Habrobracon hebetor) and a common sequence of its creation. The structure was determined by the system, which is a 2-level computer-integrated one, as well as the criterion of efficiency of management on the lower and upper levels. The lower level is realized as automatic real-time control subsystem over abiotic parameters of stepwise development of insects (temperature and relative humidity) on the basis of a personal computer, the meter-regulator TRM202 OWEN, SCADA program OWEN PROCESS MANAGER, automatic interface converter USB/RS-485. The upper level — as a subsystem of decision support, which contains user interface MATLAB, knowledge base and module data of the logical inference. The subsystem of decision support is implemented in the expert fuzzy inference to evaluate the quality of entomological products and profits of production, fuzzy cognitive map for the formalization of semi-structured tasks, the hybrid network for generating the control actions in the production of entomophages. Conclusions. They substantiated scientifically the general sequence of building intellectual management system for the production of entomophages. The main advantage of the system is the creation of management strategies under uncertainty to maximize profit production of entomological products while ensuring the required quality.
Published
2020-01-15
Section
Articles

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