Development of the information technology for decision making support when managing refrigeration units

Authors

DOI:

https://doi.org/10.15587/1729-4061.2019.169812

Keywords:

information support to decision making, intelligent control of refrigeration equipment, neuro-fuzzy simulation

Abstract

We have studied patterns in the decision-making process related to the managerial influence on the part of the operator of a refrigerating unit as a multifactor energy system with internal and external disturbances.

An object such as a refrigeration unit cannot be fully formalized and described using the methods of conventional modeling as it has the properties of partial self-regulation and self-adjustment. Therefore, based on the application of the generalized model of a refrigeration unit, we have improved a decision support system that makes it possible to take into consideration the non-formalized information by means of a neuro-fuzzy component. The information technology has been developed to support decision making when managing different types of refrigeration units. Its implementation would make it possible to reduce the time required for equipment to enter the necessary operation mode and to stabilize a temperature regime at objects. That allows a decrease in the working time ratio of refrigeration equipment and reduces the influence of the human factor, which improves safety of the energy unit operation. Effectiveness of the technology has been experimentally investigated at a single-stage vapor-compression industrial ammonia refrigeration machine, at a single-stage vapor-compression freon refrigeration machine of central air conditioner and at a water- ammonia absorption-diffusion assembly of a household freezer the type of island freezer. The number of disturbing factors and the factors of influence varies in a wide range. The datasets intended to train a neuro-fuzzy system were built based on the results of experiments at actual equipment.

The proposed information technology could be used to construct computer simulators to enhance the competence and qualification of industrial-production personnel without training at the facilities of increased danger.

Author Biographies

Alla Selivanova, Odessa National Academy of Food Technologies Kanatna str., 112, Odessa, Ukraine, 65039

PhD

Department of Information Technology and Cyber Security

Tatyana Mazurok, South Ukrainian national pedagogical university named after K. D. Ushynsky Staroportofrankivs’ka str., 26, Odessa, Ukraine, 65020

Doctor of Technical Sciences, Professor, Head of Department

Department of Applied Mathematics and Computer Science

Artem Selivanov, Odessa Technical college of Odessa National Academy of Food Technologies Balkivska str., 54, Odessa, Ukraine, 65006

Teacher

Commission of Disciplines of a Refrigerating Cycle

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Published

2019-08-09

How to Cite

Selivanova, A., Mazurok, T., & Selivanov, A. (2019). Development of the information technology for decision making support when managing refrigeration units. Eastern-European Journal of Enterprise Technologies, 4(2 (100), 60–71. https://doi.org/10.15587/1729-4061.2019.169812

Issue

Vol. 4 No. 2 (100) (2019): Information technology. Industry control systems

Section

Industry control systems

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Copyright (c) 2019 Alla Selivanova, Tatyana Mazurok, Artem Selivanov

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