An IoT-enabled Real-time Machine Status Monitoring Approach for Cloud Manufacturing

被引:61
|
作者
Zhong, Ray Y. [1 ]
Wang, Lihui [2 ]
Xu, Xun [1 ]
机构
[1] Univ Auckland, Dept Mech Engn, Auckland 1142, New Zealand
[2] KTH Royal Inst Technol, Dept Prod Engn, Stockholm, Sweden
来源
MANUFACTURING SYSTEMS 4.0 | 2017年 / 63卷
关键词
Cloud Manufacturing; Internet of Things; Real-time; Machine Monitoring; EXECUTION SYSTEM;
D O I
10.1016/j.procir.2017.03.349
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Cloud Manufacturing (CMfg) has attracted large number of attentions from both academia and practitioners. One of the key concepts in CMfg is service sharing which is based on the availability of various manufacturing resources. This paper introduces an Internet of Things (IoT) enabled real-time machine status monitoring platform for the provision of resource availability. IoT technologies such as RFID and wireless communications are used for capturing real-time machines' statuses. After that, such information is visualized through a graphical dashboard after being processed by various data models and cloud-based services over smart phones. A demonstrative case is given to illustrate the feasibility and practicality of the proposed system. In this case, IoT devices are deployed in a CMfg environment such as shop floors to capture machine data firstly. Secondly, cloud-based services are designed and developed for making full use of the captured data to facilitate end-users' production operations and behaviors. Thirdly, '5w' questions are answered by using both real-time and historic data generated from the frontline CMfg sites. (C) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码:709 / 714
页数:6
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