An autonomous edge box system architecture for Industrial IoT applications

Cheng Guo, Shun Yang, Sebastian Thiede

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Digitalization has been developing in manufacturing for decades. Many concepts and technologies related to digitalization have been proposed and have brought significant benefits to enterprises. The Industrial Internet of Things (IIoT) is an important means to realize digital manufacturing. However, there are many barriers when integrating and implementing digitalization for industrial companies, especially for small and medium-sized enterprises (SMEs). These barriers mainly include high cost sensitivity, difficulty in system installation and deployment, lacking of unified methods and platforms, and threats to data and network security. Therefore, a lightweight IIoT architecture is proposed in this paper to support SMEs to overcome the barriers and obtain the practical values brought by IIoT with a lower cost and effort. Finally, a case study has been conducted to validate the proposed approach.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages6
ISBN (Electronic)979-8-3315-2747-1
ISBN (Print)979-8-3315-2748-8
DOIs
Publication statusPublished - 2024
Event22nd IEEE International Conference on Industrial Informatics, INDIN 2024 - Beijing, China
Duration: 18 Aug 202420 Aug 2024
Conference number: 22
https://indin2024.ieee-ies.org/

Publication series

NameProceedings IEEE International Conference on Industrial Informatics (INDIN)
PublisherIEEE
Number22
Volume2024
ISSN (Print)1935-4576
ISSN (Electronic)2378-363X

Conference

Conference22nd IEEE International Conference on Industrial Informatics, INDIN 2024
Abbreviated titleINDIN 2024
Country/TerritoryChina
CityBeijing
Period18/08/2420/08/24
Internet address

Keywords

  • 2025 OA procedure
  • Cyber-physical production systems
  • Edge computing
  • IIoT
  • Industry 4.0
  • OPC UA
  • Autonomous

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