Application of Data Stream Processing Technologies in Industry 4.0: What is Missing?

被引：1

作者：

Hesse, Guenter ^{[1
]}

Sinzig, Werner ^{[1
]}

Matthies, Christoph ^{[1
]}

Uflacker, Matthias ^{[1
]}

机构：

[1] Univ Potsdam, Hasso Plattner Inst, August Bebel Str 88, D-14482 Potsdam, Germany

来源：

PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, TECHNOLOGY AND APPLICATIONS (DATA) | 2019年

关键词：

Industry; 4.0; Internet of Things; Data Stream Processing; Data Integration;

D O I：

10.5220/0007950203040310

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Industry 4.0 is becoming more and more important for manufacturers as the developments in the area of Internet of Things advance. Another technology gaining more attention is data stream processing systems. Although such streaming frameworks seem to be a natural fit for Industry 4.0 scenarios, their application in this context is still low. The contributions in this paper are threefold. Firstly, we present industry findings that we derived from site inspections with a focus on Industry 4.0. Moreover, our view on Industry 4.0 and important related aspects is elaborated. As a third contribution, we illustrate our opinion on why data stream processing technologies could act as an enabler for Industry 4.0 and point out possible obstacles on this way.

引用

页码：304 / 310

页数：7

共 18 条

[1] [Anonymous], 2013, INNOVATORS DILEMMA N
[2] [Anonymous], 2015, IND 4 0 NAV DIG MAN
[3] Arasu A., 2004, P 30 INT C VER LARG, P480
[4] Ashton K., 2009, RFID J, V22, P97
[5] Bauer W., 2018, INT C APPL HUM FACT, P501
[6] Hankel M., 2015, ZVEI, V2, P2
[7] Design Principles for Industrie 4.0 Scenarios
Hermann, Mario
Pentek, Tobias
Otto, Boris
[J]. PROCEEDINGS OF THE 49TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS 2016), 2016, : 3928 - 3937
[8] Hesse G., 2019, INT C DISTR COMP SYS
[9] Hesse G., 2017, ACM INT C DISTR EV B, P359
[10] Hesse G., 2017, TPC TECHN C TPCTC, P25

← 1 2 →