Design and fault diagnosis of DCS sintering furnace's temperature control system for edge computing.

Under the background of modern industrial processing and production, the sintering furnace's temperature control system is researched to achieve intelligent smelting and reduce energy consumption. First, the specific application and implementation of edge computing in industrial processing and...

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Autores principales:	Na Qu, Wen You
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/55810ca06e7d436db6a85b788c965181
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spelling	oai:doaj.org-article:55810ca06e7d436db6a85b788c9651812021-12-02T20:05:12ZDesign and fault diagnosis of DCS sintering furnace's temperature control system for edge computing.1932-620310.1371/journal.pone.0253246https://doaj.org/article/55810ca06e7d436db6a85b788c9651812021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253246https://doaj.org/toc/1932-6203Under the background of modern industrial processing and production, the sintering furnace's temperature control system is researched to achieve intelligent smelting and reduce energy consumption. First, the specific application and implementation of edge computing in industrial processing and production are analyzed. The industrial processing and production intelligent equipment based on edge computing includes the equipment layer, the edge layer, and the cloud platform layer. This architecture improves the operating efficiency of the intelligent control system. Then, the sintering furnace in the metallurgical industry is taken as an example. The sintering furnace connects powder material particles at high temperatures; thus, the core temperature control system is investigated. Under the actual sintering furnace engineering design, the Distributed Control System (DCS) is used as the basis of sintering furnace temperature control, and the Programmable Logic Controller (PLC) is adopted to reduce the electrical wiring and switch contacts. The hardware circuit of DCS is designed; on this basis, an embedded operating system with excellent performance is transplanted according to functional requirements. The final DCS-based temperature control system is applied to actual monitoring. The real-time temperature of the upper, middle, and lower currents of 1# sintering furnace at a particular point is measured to be 56.95°C, 56.58°C, and 57.2°C, respectively. The real-time temperature of the upper, middle, and lower currents of 2# sintering furnaces at a particular point is measured to be 144.7°C, 143.8°C, and 144.0°C, respectively. Overall, the temperature control deviation of the three currents of the two sintering furnaces stays in the controllable range. An expert system based on fuzzy logic in the fault diagnosis system can comprehensively predict the situation of the sintering furnaces. The prediction results of the sintering furnace's faults are closer to the actual situation compared with the fault diagnosis method based on the Backpropagation (BP) neural network. The designed system makes up for the shortcomings of the sintering furnace's traditional temperature control systems and can control the temperature of the sintering furnace intelligently and scientifically. Besides, it can diagnose equipment faults timely and efficiently, thereby improving the sintering efficiency.Na QuWen YouPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0253246 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Na Qu Wen You Design and fault diagnosis of DCS sintering furnace's temperature control system for edge computing.
description	Under the background of modern industrial processing and production, the sintering furnace's temperature control system is researched to achieve intelligent smelting and reduce energy consumption. First, the specific application and implementation of edge computing in industrial processing and production are analyzed. The industrial processing and production intelligent equipment based on edge computing includes the equipment layer, the edge layer, and the cloud platform layer. This architecture improves the operating efficiency of the intelligent control system. Then, the sintering furnace in the metallurgical industry is taken as an example. The sintering furnace connects powder material particles at high temperatures; thus, the core temperature control system is investigated. Under the actual sintering furnace engineering design, the Distributed Control System (DCS) is used as the basis of sintering furnace temperature control, and the Programmable Logic Controller (PLC) is adopted to reduce the electrical wiring and switch contacts. The hardware circuit of DCS is designed; on this basis, an embedded operating system with excellent performance is transplanted according to functional requirements. The final DCS-based temperature control system is applied to actual monitoring. The real-time temperature of the upper, middle, and lower currents of 1# sintering furnace at a particular point is measured to be 56.95°C, 56.58°C, and 57.2°C, respectively. The real-time temperature of the upper, middle, and lower currents of 2# sintering furnaces at a particular point is measured to be 144.7°C, 143.8°C, and 144.0°C, respectively. Overall, the temperature control deviation of the three currents of the two sintering furnaces stays in the controllable range. An expert system based on fuzzy logic in the fault diagnosis system can comprehensively predict the situation of the sintering furnaces. The prediction results of the sintering furnace's faults are closer to the actual situation compared with the fault diagnosis method based on the Backpropagation (BP) neural network. The designed system makes up for the shortcomings of the sintering furnace's traditional temperature control systems and can control the temperature of the sintering furnace intelligently and scientifically. Besides, it can diagnose equipment faults timely and efficiently, thereby improving the sintering efficiency.
format	article
author	Na Qu Wen You
author_facet	Na Qu Wen You
author_sort	Na Qu
title	Design and fault diagnosis of DCS sintering furnace's temperature control system for edge computing.
title_short	Design and fault diagnosis of DCS sintering furnace's temperature control system for edge computing.
title_full	Design and fault diagnosis of DCS sintering furnace's temperature control system for edge computing.
title_fullStr	Design and fault diagnosis of DCS sintering furnace's temperature control system for edge computing.
title_full_unstemmed	Design and fault diagnosis of DCS sintering furnace's temperature control system for edge computing.
title_sort	design and fault diagnosis of dcs sintering furnace's temperature control system for edge computing.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/55810ca06e7d436db6a85b788c965181
work_keys_str_mv	AT naqu designandfaultdiagnosisofdcssinteringfurnacestemperaturecontrolsystemforedgecomputing AT wenyou designandfaultdiagnosisofdcssinteringfurnacestemperaturecontrolsystemforedgecomputing
_version_	1718375481340854272

Design and fault diagnosis of DCS sintering furnace's temperature control system for edge computing.

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