Title
Framework of an IoT-based Industrial Data Management for Smart Manufacturing
Abstract
The Internet of Things (IoT) is the global network of interrelated physical devices such as sensors, actuators, smart applications, objects, computing devices, mechanical machines, and people that are becoming an essential part of the internet. In an industrial environment, these devices are the source of data which provide abundant information in manufacturing processes. Nevertheless, the massive, heterogeneous, and time-sensitive nature of the data brings substantial challenges to the real-time collection, processing, and decision making. Therefore, this paper presents a framework of an IoT-based Industrial Data Management System (IDMS) which can manage the huge industrial data, support online monitoring, and control smart manufacturing. The framework contains five basic layers such as physical, network, middleware, database, and application layers to provide a service-oriented architecture for the end users. Experimental results from a smart factory case study demonstrate that the framework can manage the regular data and urgent events generated from various factory devices in the distributed industrial environment through state-of-the-art communication protocols. The collected data is converted into useful information which improves productivity and the prognosis of production lines.
Year
DOI
Venue
2019
10.3390/jsan8020025
JOURNAL OF SENSOR AND ACTUATOR NETWORKS
Keywords
Field
DocType
industrial internet of things (IIoT),smart factory,data management framework,IoT middleware,factory floor
Middleware,Application layer,Global network,End user,Computer science,Computer network,Production line,Data management,Distributed computing,The Internet,Communications protocol
Journal
Volume
Issue
ISSN
8
2
2224-2708
Citations 
PageRank 
References 
1
0.40
0
Authors
4
Name
Order
Citations
PageRank
Muhammad Saqlain110.40
Minghao Piao2376.30
Youngbok Shim310.40
Jong Yun Lee4153.47