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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 35, Number 5(2) (2023)
Copyright(C) MYU K.K.
pp. 1731-1740
S&M3283 Research Paper of Special Issue
https://doi.org/10.18494/SAM4323
Published: May 22, 2023

Using Edge Computing Technology in Programmable Logic Controller to Realize the Intelligent System of Industrial Safety and Fire Protection [PDF]

Liguo Su, Yang-Han Lee, Yi-Lun Chen, Hsien-Wei Tseng, and Cheng-Fu Yang

(Received January 7, 2023; Accepted April 25, 2023)

Keywords: factory safety, Bluetooth sensor, edge computer, intelligent judgment, programmable logic controller (PLC)

One reason behind a factory fire is personnel neglecting to pay attention to various details within the factory. For instance, environmental temperature can impact the safety of storage facilities, whereas humidity levels can affect the frequency of electrostatic discharge incidents. However, it is not feasible for workers to continuously monitor the changes in the factory environment and inspect equipment. Therefore, we investigated a method that can help provide intelligent judgments and can assist workers in monitoring the factory environment by using Bluetooth sensors and edge computers. The intelligent fire protection system designed in this study is characterized by the wireless transmission and easy arrangement of Bluetooth sensors, and is equipped with an edge computer on the production line. This system can make intelligent judgment on the environment and send a message to notify the users when the environment changes very rapidly. If the data captured from the environment exceeds a critical threshold requiring a warning, an alarm will notify the users. If required, the edge computer will take control of the programmable logic controller of the production line to implement relevant actions and achieve an intelligent automatic fire protection system.

Corresponding author: Yang-Han Lee, Cheng-Fu Yang


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

Cite this article
Liguo Su, Yang-Han Lee, Yi-Lun Chen, Hsien-Wei Tseng, and Cheng-Fu Yang, Using Edge Computing Technology in Programmable Logic Controller to Realize the Intelligent System of Industrial Safety and Fire Protection, Sens. Mater., Vol. 35, No. 5, 2023, p. 1731-1740.



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