Data management in an industrial service-oriented platform

被引：0
|
作者：
Lalanda, Philippe [1 ]
Morand, Denis [2 ]
Mora, Pierangelo Castillo [1 ]
机构：
[1] Grenoble Alpes Univ, 621 Ave Cent, F-38000 Grenoble, France
[2] Schneider Elect, F-06510 Carros, France
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER PHYSICAL SYSTEMS (ICPS 2019) | 2019年
关键词：
Service-oriented pervasive platforms; time series data; smart manufacturing;
D O I：
10.1109/icphys.2019.8780316
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Pervasive computing envisions environments where computers are blended into our environment to provide services. This vision is today very popular and a number of pervasive platforms are already used today in smart homes, buildings or plants. Many platforms today are based on service-oriented computing. This allows to deal with dynamicity and heterogeneity issues. However, this approach is not adapted to applications based on flows of time-stamped data. In this paper, we present a service-oriented platform extended with a time-series database. This platform can host a variety of applications with different requirements regarding data to be manipulated. This is demonstrated in the industry 4.0 domain and, more precisely, on a water management application.
引用
收藏
页码：81 / 86
页数：6
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