FastIoT: an efficient and very fast compression model for displaying a huge volume of IoT data in web environments

被引:0
|
作者
Melchiades, Mateus Begnini [1 ]
Paredes Crovato, Cesar David [1 ]
Nedel, Everton [1 ]
Schreiber, Lincoln Vinicius [1 ]
Righi, Rodigo da Rosa [1 ]
机构
[1] Unisinos Univ, Sao Leopoldo, RS, Brazil
关键词
Industry; 4.0; IoT; Internet of Things; compression; data visualisation; web environment;
D O I
10.1504/IJGUC.2021.120095
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Industry 4.0 concept leads to a generation of massive data sets that supervisors must appropriately analyse for an effective decision-making process. A data set, however, can be excessively large, causing troubles when trying to visualise its content entirety. Thus, the present work introduces FastIoT as a novel compression model that focuses on the visual representation of Industry 4.0 data through web environments. As a client-server proposal, FastIoT brings the idea of: (i) speed in data preparation at the server-side, since the proposed method is very simple, and; (ii) efficiency, because we consider the target client plotting area so generating an optimised data set fitted especially for such visual region. Even adding a short time at the server-side for data preparation, with FastIoT we have data ready in the client's display up to 97% faster when compared to traditional plotting methods.
引用
收藏
页码:605 / 617
页数:13
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