Edge Computing in IoT-Based Manufacturing

被引:206
|
作者
Chen, Baotong [1 ]
Wan, Jiafu [1 ]
Celesti, Antonio [2 ]
Li, Di [1 ]
Abbas, Haider
Zhang, Qin [3 ]
机构
[1] South China Univ Technol, Sch Mech & Automot Engn, Guangzhou, Guangdong, Peoples R China
[2] Univ Messina, Sci Res Org Unit, Messina, Italy
[3] SCUT, Sch Comp Sci & Engn, Guangzhou, Guangdong, Peoples R China
关键词
D O I
10.1109/MCOM.2018.1701231
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Edge computing extends the capabilities of computation, network connection, and storage from the cloud to the edge of the network. It enables the application of business logic between the downstream data of the cloud service and the upstream data of the Internet of Things (IoT). In the field of Industrial IoT, edge computing provides added benefits of agility, real-time processing, and autonomy to create value for intelligent manufacturing. With the focus on the concept of edge computing, this article proposes an architecture of edge computing for IoT-based manufacturing. It also analyzes the role of edge computing from four aspects including edge equipment, network communication, information fusion, and cooperative mechanism with cloud computing. Finally, we give a case study to implement the active maintenance based on a prototype platform. This article aims to provide a technical reference for the deployment of edge computing in the smart factory.
引用
收藏
页码:103 / 109
页数:7
相关论文
共 50 条
  • [21] Transient Analysis of a Finite Queueing System with Bulk Arrivals in IoT-Based Edge Computing Systems
    Tang, Shensheng
    IOT, 2022, 3 (04): : 435 - 449
  • [22] Data-Centric Edge Computing to Defend Power Grids Against IoT-Based Attacks
    Shrestha, Bibek
    Lin, Hui
    COMPUTER, 2020, 53 (05) : 35 - 43
  • [23] IoT-based production logistics and supply chain system - Part 1 Modeling IoT-based manufacturing IoT supply chain
    Tu, Mengru
    Lim, Ming K.
    Yang, Ming-Fang
    INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2018, 118 (01) : 65 - 95
  • [24] IoT-Based Automation for Spray Painting in Aerospace Manufacturing
    Sekaran, Sivadas Chandra
    Yap, Hwa Jen
    Aziz, Aiman Nabihah Abdul
    Hisaburi, Ahmad Syazwan Mohd
    2023 3RD INTERNATIONAL CONFERENCE ON ROBOTICS, AUTOMATION AND ARTIFICIAL INTELLIGENCE, RAAI 2023, 2023, : 266 - 274
  • [25] Toward Dynamic Resources Management for IoT-Based Manufacturing
    Wan, Jiafu
    Chen, Baotong
    Imran, Muhammad
    Tao, Fei
    Li, Di
    Liu, Chengliang
    Ahmad, Shafiq
    IEEE COMMUNICATIONS MAGAZINE, 2018, 56 (02) : 52 - 59
  • [26] A Framework for IoT-Based Monitoring and Diagnosis of Manufacturing Systems
    Yen, I-Ling
    Zhang, Shuai
    Bastani, Farokh
    Zhang, Yuqun
    2017 11TH IEEE SYMPOSIUM ON SERVICE-ORIENTED SYSTEM ENGINEERING (SOSE), 2017, : 1 - 8
  • [27] IoT-based Predictive Maintenance for Smart Manufacturing Systems
    Him, Leong Chee
    Poh, Yu Yong
    Pheng, Lee Wah
    2019 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2019, : 1942 - 1944
  • [28] EDGE INTELLIGENCE FOR EMPOWERING IOT-BASED HEALTHCARE SYSTEMS
    Hayyolalam, Vahideh
    Aloqaily, Moayad
    Ozkasap, Oznur
    Guizani, Mohsen
    IEEE WIRELESS COMMUNICATIONS, 2021, 28 (03) : 6 - 14
  • [29] Improving an IoT-Based Motor Health Predictive Maintenance System Through Edge-Cloud Computing
    Lee, Kristine-Clair
    Villamera, Christian
    Daroya, Carlos Adrian
    Samontanez, Paolo
    Tan, Wilson M.
    2021 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS AND INTELLIGENCE SYSTEMS (IOTAIS), 2021, : 142 - 148
  • [30] Private Blockchain Envisioned Access Control System for Securing Industrial IoT-Based Pervasive Edge Computing
    Saha, Sourav
    Bera, Basudeb
    Das, Ashok Kumar
    Kumar, Neeraj
    Islam, Sk Hafizul
    Park, Youngho
    IEEE ACCESS, 2023, 11 : 130206 - 130229