Structure, network protocols of the internet of things for quality production control

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Abstract

The subject of research is the model and structure of the Internet of things (IoT) network for product quality control in industry and agriculture. The purpose of the article is to analyze communication protocols and structures of IoT networks. The method of analysis and structural design of IoT networks is applied. The field of application is automation of monitoring products of enterprises of the aerospace industry. The article provides an overview and analysis of existing IoT technology; it considers the protocols and composition of IoT networks, and provides variations in the structures of building such networks. 4 levels of IoT architecture are described, as well as the communication protocols are used. The directions of building the Internet of things network for product quality control are defined. A multi-agent model of such system is presented, for the implementation of which the structure of the IoT network is given.

The structure of a multi-agent system (MAS) for monitoring product quality in industry and agriculture includes many agents, such as product quality agents, communication agents, database agents, agents for analyzing information received from sensor agents, and decision-making agents. This MAS implements functions to ensure the required class of product quality and it is based on building a local network of the Internet of things. The research proposes an algorithm for processing information in such an IoT network. Analyzers (sensors) product qualities will be periodically polled and their values will be recorded in the server database. The decision-making subsystem sends data on product quality compliance to the enterprise administrator on a mobile device. The server structure is implemented using cloud IoT platforms, for which a brief overview is provided. The one IoT network implementation is developed using LTE NB-IoT technology. This approach can be used in the aerospace industry for product quality control within automation 4.0.

About the authors

Vladzimir A. Vishniakou

Belarusian State University of Informatics and Radioelectronics

Author for correspondence.
Email: vish2002@list.ru

Dr. Sc., professor; Belarusian State University of Informatics and Radioelectronics

Belarus, 6, P. Brovky St., Minsk, 220600

B. H. Shaya

Belarusian State University of Informatics and Radioelectronics

Email: vish2002@list.ru

master of technical science, PhD-student; Belarusian State University of Informatics and Radioelectronics

Belarus, 6, P. Brovky St., Minsk, 220600

A. H. Al-Masri

Belarusian State University of Informatics and Radioelectronics

Email: vish2002@list.ru

master of technical science, PhD-student; Belarusian State University of Informatics and Radioelectronics

Belarus, 6, P. Brovky St., Minsk, 220600

S. H. Al-Hajj

Belarusian State University of Informatics and Radioelectronics

Email: vish2002@list.ru

master of technical science, PhD-student; Belarusian State University of Informatics and Radioelectronics

Belarus, 6, P. Brovky St., Minsk, 220600

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Copyright (c) 2020 Vishniakou V.A., Shaya B.H., Al-Masri A.H., Al-Hajj S.H.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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