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 proceedingConference contributionpeer-review

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 languageEnglish
Title of host publication2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665495875
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022 - Kaohsiung, Taiwan
Duration: 03 11 202205 11 2022

Publication series

Name2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022

Conference

Conference2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022
Country/TerritoryTaiwan
CityKaohsiung
Period03/11/2205/11/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

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