To the question of creating energy efficient systems for management of production of entomophages
DOI:
https://doi.org/10.31548/energiya2019.06.005Abstract
Abstract. The article is devoted to the issue of creating energy-efficient systems for managing the production of entomophages.
The aim of the work is to increase the energy efficiency of the production of entomophages by developing an intelligent control system based on the use of a hybrid neural network of direct signal propagation.
Research methods – functional modeling; situational management; experimental studies in real time; fuzzy conclusion.
An intelligent production control system for the entomophage Habrobracon hebetor has been developed, which is currently one of the promising agents for biological plant protection.
Conducted: computer simulation of the hybrid and traditional subsystems for controlling the temperature of boxing air for breeding entomocultures; real-time intelligent system research using the SCADA program OWEN PROCESS MANAGER, a structural model in Simulink/MATLAB, ANFIS-editor, OPC Toolbox MATLAB, OPC-server OWEN.RS485 and Fuzzy Logic Toolbox MATLAB.
An algorithm has been developed for constructing a hybrid intelligent subsystem for controlling the temperature of boxing air with entomocultures.
Key words: entomophage production, intelligent control system, energy efficiency, modeling, hybrid and traditional subsystems, algorithm
References
Zlotin, A. Z. (1989). Tehnicheskaya entomologiya. Spravochnoe posobie [Technical Entomology. Reference guide]. К.: Naukova dumka. 183.
Molchanova, O. D., Kopko, I. A. (2014). Rozvedennya mlinovoyi vognivki dlya viroshchuvannya ektoparazitu brakon (Habrobracon hebetor Say.) [Breeding Ephestia kuehniella for growing ectoparasite bracon (Habrobracon hebetor Say.)] Agricultural Wyk South, 1, 131-134.
Lysenko, V. Р., Chernova, I. S. (2016). Formirovanie trebovaniy k energoeffektivnym sistemam upravleniya kachestvom entomofagov [Formation of requirements to the energyefficient quality management systems entomophages. Information bulletin IOBS EPRS 49 ]. Odesa: TES, 155-160.
Shilo, I. N., Tolochko, N. K., Romanyuk N. N., Nukeshev S. O. (2016). Intellektualnye tehnologii v agropromyshlennom komplekse [Intelligent technologies in the agricultural sector]. Minsk: BGATU. 336.
Mrosko, Marián (2012). Real-time implementation of predictive control using programmable logic controllers / Marián Mrosko, Eva Miklovičová // International Journal of Systems Applications, Engineering & Development, 1, 6, 106-113.
Kaznacheev, P., Samojlova, R., Kurchiski, N. (2016). Primenenie metodov iskusstvennogo intellekta dlya povysheniya effektivnosti v neftegazovoj i drugih syrevyh otraslyah [The use of artificial intelligence methods to increase efficiency in the oil and gas and other raw materials industries]. Ekonomicheskaya politika, 11. 5. 188-197.
https://doi.org/10.18288/1994-5124-2016-5-09
Lysenko, V. P., Chernova, I. S. (2019). Adaptyvna systema keruvannia vyrobnytstvom entomofahiv [Adaptive Entomophage Production Management System]. Automation of Technological and Business Processes, 11. 2. 10-16. https://doi.org/10.15673/atbp.v11i2.1373
Downloads
Published
Issue
Section
License
Relationship between right holders and users shall be governed by the terms of the license Creative Commons Attribution – non-commercial – Distribution On Same Conditions 4.0 international (CC BY-NC-SA 4.0):https://creativecommons.org/licenses/by-nc-sa/4.0/deed.uk
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
