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--- Timezone: CEST
Creation date: 2024-09-07
Creation time: 19-24-48
--- Number of references
5
article
2022_brauner_iop
A Computer Science Perspective on Digital Transformation in Production
ACM Transactions on Internet of Things
2022
5
1
3
2
The Industrial Internet-of-Things (IIoT) promises significant improvements for the manufacturing industry by facilitating the integration of manufacturing systems by Digital Twins. However, ecological and economic demands also require a cross-domain linkage of multiple scientific perspectives from material sciences, engineering, operations, business, and ergonomics, as optimization opportunities can be derived from any of these perspectives. To extend the IIoT to a true Internet of Production, two concepts are required: first, a complex, interrelated network of Digital Shadows which combine domain-specific models with data-driven AI methods; and second, the integration of a large number of research labs, engineering, and production sites as a World Wide Lab which offers controlled exchange of selected, innovation-relevant data even across company boundaries. In this article, we define the underlying Computer Science challenges implied by these novel concepts in four layers: Smart human interfaces provide access to information that has been generated by model-integrated AI. Given the large variety of manufacturing data, new data modeling techniques should enable efficient management of Digital Shadows, which is supported by an interconnected infrastructure. Based on a detailed analysis of these challenges, we derive a systematized research roadmap to make the vision of the Internet of Production a reality.
Internet of Production; World Wide Lab; Digital Shadows; Industrial Internet of Things
internet-of-production
https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-brauner-digital-transformation.pdf
ACM
2691-1914
10.1145/3502265
1
PhilippBrauner
ManuelaDalibor
MatthiasJarke
IkeKunze
IstvánKoren
GerhardLakemeyer
MartinLiebenberg
JudithMichael
JanPennekamp
ChristophQuix
BernhardRumpe
Wilvan der Aalst
KlausWehrle
AndreasWortmann
MartinaZiefle
article
2020-wehrle-digitalshadows
Mit "Digitalen Schatten" Daten verdichten und darstellen : Der Exzellenzcluster "Internet der Produktion" forscht über die Produktionstechnik hinaus
Der Profilbereich "Information & Communication Technology"
2020
0179-079X
10.18154/RWTH-2021-02496
MatthiasJarke
Wilvan der Aalst
ChristianBrecher
MatthiasBrockmann
IstvánKoren
GerhardLakemeyer
BernhardRumpe
GüntherSchuh
KlausWehrle
MartinaZiefle
article
2016-fgcs-henze-iotprivacy
A Comprehensive Approach to Privacy in the Cloud-based Internet of Things
Future Generation Computer Systems
2016
3
56
701-718
ipacs
https://www.comsys.rwth-aachen.de/fileadmin/papers/2016/2016-henze-fgcs-iotprivacy.pdf
Online
Elsevier
en
0167-739X
10.1016/j.future.2015.09.016
1
MartinHenze
LarsHermerschmidt
DanielKerpen
RogerHäußling
BernhardRumpe
KlausWehrle
incollection
2013-wtc-eggert-sensorcloud
SensorCloud: Towards the Interdisciplinary Development of a Trustworthy Platform for Globally Interconnected Sensors and Actuators
2014
12
14
203-218
sensorcloud
fileadmin/papers/2013/2013-wtc-eggert-sensorcloud.pdf
Online
Krcmar, Helmut and Reussner, Ralf and Rumpe, Bernhard
Springer
Trusted Cloud Computing
en
978-3-319-12717-0
10.1007/978-3-319-12718-7_13
1
MichaelEggert
RogerHäußling
MartinHenze
LarsHermerschmidt
RenéHummen
DanielKerpen
AntonioNavarro Pérez
BernhardRumpe
DirkThißen
KlausWehrle
inproceedings
2014-ficloud-henze-upecsi
User-driven Privacy Enforcement for Cloud-based Services in the Internet of Things
2014
8
27
191-196
ipacs
/fileadmin/papers/2014/2014-ficloud-henze-upecsi.pdf
Online
IEEE
2014 International Conference on Future Internet of Things and Cloud (FiCloud 2014), Barcelona, Spain
Barcelona, Spain
2014 International Conference on Future Internet of Things and Cloud (FiCloud 2014)
en
978-1-4799-4357-9
10.1109/FiCloud.2014.38
1
MartinHenze
LarsHermerschmidt
DanielKerpen
RogerHäußling
BernhardRumpe
KlausWehrle