THERMAL SCIENCE

International Scientific Journal

Milovan M. Medojević

,

Branislav B. Tejić

,

Milana S. Medojević

,

Miroslav V. Kljajić

DESIGN AND DEVELOPMENT OF INDUSTRIAL IOT-BASED SYSTEM FOR BEHAVIOR PROFILING OF NON-LINEAR DYNAMIC PRODUCTION SYSTEMS BASED ON ENERGY FLOW THEORY

ABSTRACT
In this paper, a solution effective energy consumption monitoring of fast-response energy systems in industrial environments was proposed, designed, and developed. Moreover, in this research, production systems are characterized as non-linear dynamic systems, with the hypothesis that the identification and introduction of non-linear members (variables) can have a significant impact on improving system performance by providing clear insight and realistic representation of system behavior due to a series of non-linear activities that stimulate the system state changes, which can be spotted through the manner and intensity of energy use in the observed system. The research is oriented towards achieving favorable conditions to deploy dynamic energy management systems by means of the IoT and big data, as highly prominent concepts of Industry 4.0 technologies into scientifically-driven industrial practice. The motivation behind this is driven by the transition that this highly digital modern age brought upon us, in which energy management systems could be treated as a continual, dynamic process instead of remaining characterized as static with periodical system audits. In addition, a segmented system architecture of the proposed solution was described in detail, while initial experimental results justified the given hypothesis. The generated results indicated that the process of energy consumption quantification, not only ensures reliable, accurate, and real-time information but opens the door towards system behavior profiling, predictive maintenance, event forensics, data-driven prognostics, etc. Lastly, the points of future investigations were indicated as well.
KEYWORDS
energy management, monitoring, electricity, Production systems, Nonlinear Dynamics, Internet of things, Industry 4.0, Behavior profiling, Data-driven prognostics.
PAPER SUBMITTED: 2021-03-27
PAPER REVISED: 2021-05-26
PAPER ACCEPTED: 2021-05-28
PUBLISHED ONLINE: 2021-07-10
DOI REFERENCE: https://doi.org/10.2298/TSCI210327228M
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2022, VOLUME 26, ISSUE Issue 3, PAGES [2147 - 2161]
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Design and development of industrial IoT-based system for behavior profiling of non-linear dynamic production systems based on energy flow theory

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence