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Bulletin of Abai KazNPU. Series of Physical and mathematical sciences

AUTOMATED SYSTEM FOR MONITORING SENSOR VALUES BASED ON EDGE COMPUTING

Published September 2022

263

139

Zh. Seitbattalov+
L.N. Gumilyov Eurasian National University,Nur-Sultan, Kazakhstan
S.K. Atanov+
L.N. Gumilyov Eurasian National University,Nur-Sultan, Kazakhstan
A.E. Kyzyrkanov+
L.N. Gumilyov Eurasian National University
L.N. Gumilyov Eurasian National University,Nur-Sultan, Kazakhstan
L.N. Gumilyov Eurasian National University,Nur-Sultan, Kazakhstan
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S.K. Atanov

Doctor of Technical Sciences, Professor of the Department "Computer and Software Engineering", L.N. Gumilyov Eurasian National University

L.N. Gumilyov Eurasian National University
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A.E. Kyzyrkanov

PhD Student

Abstract

The intelligent industrial sector has grown in popularity due to the widespread use of technologies based on the Internet of things. Revolutionary advances in technology have made industrial production safer, more efficient and more reliable. The need for progress in smart industry is due to growing demand, requirements for product quality and the level of security, reliability and reduced energy consumption in the production process, reducing network load, computational complexity and costs. Our research aims to address these issues by deploying a web application for monitoring sensor data on the Raspberry Pi. Raspberry Pi is used as a central control device that functions as a cost-effective platform for integrating various devices and sensors in an industrial enterprise using the Internet. We offer a cost-effective web application for monitoring industrial production based on the Internet of Things (IoT) and edge computing paradigms. The proposed web application provides remote and automatic monitoring of temperature and humidity indicators, ensuring the safety and reliability of production.

pdf (Қазақ)
Language

Русский

How to Cite

[1]
Сейтбатталов, Ж., Атанов, С. and Кызырканов, А. 2022. AUTOMATED SYSTEM FOR MONITORING SENSOR VALUES BASED ON EDGE COMPUTING. Bulletin of Abai KazNPU. Series of Physical and mathematical sciences. 79, 3 (Sep. 2022), 238–244. DOI:https://doi.org/10.51889/5277.2022.55.81.027.