A Hierarchical Design for Big Data Monitoring in IoT Network

Chun Fu Lin; Chia Wen Chang; Jyh Rou Sze

doi:10.1109/iFUZZY55320.2022.9985218

A Hierarchical Design for Big Data Monitoring in IoT Network

Chun Fu Lin^*, Chia Wen Chang, Jyh Rou Sze

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In last decade, smart factory is proposed and discussed generally. The most obvious difference between the recent smart factory and the traditional automation factory is that the techniques about internet of thing (IoT) are introduced. In IoT network environment, the related technologies of big data management are the relatively slow developing areas, and also the areas of vigorous development of related research. So many data from manufacturing equipments and defect detection equipments in smart factory needs organized techniques and design for big data monitoring in IoT network. However, traditional parallel design induces data lag or data missing of big data monitoring in IoT network. Therefore, this study presents a hierarchical design for big data monitoring in IoT network. A proposed data process and transfer module and proposed Supervisor Control And Data Acquisition (SCADA) software are applied in the experiments.

Original language	English
Title of host publication	2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665495875
DOIs	https://doi.org/10.1109/iFUZZY55320.2022.9985218
State	Published - 2022
Externally published	Yes
Event	2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022 - Kaohsiung, Taiwan Duration: 03 11 2022 → 05 11 2022

Publication series

Name	2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022

Conference

Conference	2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022
Country/Territory	Taiwan
City	Kaohsiung
Period	03/11/22 → 05/11/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

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10.1109/iFUZZY55320.2022.9985218

Cite this

Lin, C. F., Chang, C. W., & Sze, J. R. (2022). A Hierarchical Design for Big Data Monitoring in IoT Network. In 2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022 (2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iFUZZY55320.2022.9985218

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title = "A Hierarchical Design for Big Data Monitoring in IoT Network",

abstract = "In last decade, smart factory is proposed and discussed generally. The most obvious difference between the recent smart factory and the traditional automation factory is that the techniques about internet of thing (IoT) are introduced. In IoT network environment, the related technologies of big data management are the relatively slow developing areas, and also the areas of vigorous development of related research. So many data from manufacturing equipments and defect detection equipments in smart factory needs organized techniques and design for big data monitoring in IoT network. However, traditional parallel design induces data lag or data missing of big data monitoring in IoT network. Therefore, this study presents a hierarchical design for big data monitoring in IoT network. A proposed data process and transfer module and proposed Supervisor Control And Data Acquisition (SCADA) software are applied in the experiments.",

author = "Lin, {Chun Fu} and Chang, {Chia Wen} and Sze, {Jyh Rou}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022 ; Conference date: 03-11-2022 Through 05-11-2022",

year = "2022",

doi = "10.1109/iFUZZY55320.2022.9985218",

language = "英语",

series = "2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022",

address = "美国",

}

Lin, CF, Chang, CW & Sze, JR 2022, A Hierarchical Design for Big Data Monitoring in IoT Network. in 2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022. 2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022, Institute of Electrical and Electronics Engineers Inc., 2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022, Kaohsiung, Taiwan, 03/11/22. https://doi.org/10.1109/iFUZZY55320.2022.9985218

A Hierarchical Design for Big Data Monitoring in IoT Network. / Lin, Chun Fu; Chang, Chia Wen; Sze, Jyh Rou.
2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lin, Chun Fu

AU - Chang, Chia Wen

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PY - 2022

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N2 - In last decade, smart factory is proposed and discussed generally. The most obvious difference between the recent smart factory and the traditional automation factory is that the techniques about internet of thing (IoT) are introduced. In IoT network environment, the related technologies of big data management are the relatively slow developing areas, and also the areas of vigorous development of related research. So many data from manufacturing equipments and defect detection equipments in smart factory needs organized techniques and design for big data monitoring in IoT network. However, traditional parallel design induces data lag or data missing of big data monitoring in IoT network. Therefore, this study presents a hierarchical design for big data monitoring in IoT network. A proposed data process and transfer module and proposed Supervisor Control And Data Acquisition (SCADA) software are applied in the experiments.

AB - In last decade, smart factory is proposed and discussed generally. The most obvious difference between the recent smart factory and the traditional automation factory is that the techniques about internet of thing (IoT) are introduced. In IoT network environment, the related technologies of big data management are the relatively slow developing areas, and also the areas of vigorous development of related research. So many data from manufacturing equipments and defect detection equipments in smart factory needs organized techniques and design for big data monitoring in IoT network. However, traditional parallel design induces data lag or data missing of big data monitoring in IoT network. Therefore, this study presents a hierarchical design for big data monitoring in IoT network. A proposed data process and transfer module and proposed Supervisor Control And Data Acquisition (SCADA) software are applied in the experiments.

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M3 - 会议稿件

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T3 - 2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022

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Y2 - 3 November 2022 through 5 November 2022

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A Hierarchical Design for Big Data Monitoring in IoT Network

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