Skip to main contentSkip to search barSkip to navigationSkip to footer
Logo of the University of Applied Sciences and Arts Northwestern Switzerland
Degree Programmes
Continuing Education
Research and Services
International
About FHNW
DeEn
Locations and ContactFHNW LibraryMedia Relations
Logo of the University of Applied Sciences and Arts Northwestern Switzerland
  • Degree Programmes
  • Continuing Education
  • Research and Services
  • International
  • About FHNW
DeEn
Locations and ContactFHNW LibraryMedia Relations
Engineering and Env...
Laborat...
Smart Factory Lab FHNW

Smart Factory Lab FHNW

Smart Factory and Digital Twin architectures and technologies based on a real production environment.

Our offer

The Smart Factory Laboratory is used for training and further education as well as the realisation of projects in the field of applied research and development with industrial partners. The laboratory is equipped with the latest technologies and architectures for intelligent production. These can be explained and demonstrated to interested companies.

Contact us

For more information or to discuss a collaboration, please contact Markus Krack.

Opportunities

Smart Factory Architektur

Integration von Maschinen und Anlagen auf der Shop Floor Ebene über verschiedene Edge Devices zur Datengewinnung über ein Unifed Name Space UNS zur Datenstandardisierung und Bereitstellung in einem Data Lake. Die Daten können visualisiert und analysiert werden.

Integration von Maschinen und Anlagen RAMI 4.0

Integration von Produktionsanlagen und Maschinen mittels Edge und SCADA Devices. Parktische Umsetzung des Referenzarchitektur Modells Industrie 4.0 (RAMI4.0) zur vertikalen Integration von Assets. Es können bis zu 1'200 Parameter in Echtzeit von Bearbeitungsmaschinen (CNC-Fräsmaschinen) erfasst und verarbeitet werden.

Data analytics – AI applications

Data analyses can be carried out using various tools based on the data collected in real time in the Smart Factory data lake. This can also be done using AI applications and AI tools. Different levels of maturity can be realised in relation to Smart Factory objectives (observing, predictive, preventive, prescriptive).

Digital twins

Digital twins with different application scenarios can be developed, created and tested on the basis of the Smart Factory architecture. The structure (architecture) of a digital twin can also be demonstrated.

IoT and M2M – Machine to Machine Communication

The existing infrastructure allows the establishment of Industry 4.0 communications with applications in the Internet of Things IoT area. Existing protocols include MQTT (Message Query Telemetry Transport) and LoRaWAN (Long Range Wide Area Network) as well as classic WLAN networks. An expansion with a 5G island network is planned.

Infrastructure

  • Complete Smart Factory architecture based on real production machines (CNC machining centre)
  • Platform for the development of digital twins
  • Platform for the development of AI applications
  • Learning Factory 4.0 from Fischertechnik for simulating a production process in a Smart Factory
  • Democase Digital Twin
  • Industry 4.0 demonstrator (order picking system with 6-axis industrial robot)
  • Industry 4.0 networks (MQTT, LoRaWAN, WLAN)
1/4
Smart Factory system architecture
2/4
Industry 4.0 demonstrator with 6-axis robot and autonomous warehouse modules with MQTT communication
4/4
Mechanical workshop with CNC machining centre for data acquisition using edge devices (vertical integration)

The Smart Factory Lab is part of the FHNW Institute of Business Engineering

Loading

Collaboration in research and services

Engineering and Environment
FHNW Institute of Business EngineeringLaboratories of the FHNW School of Engineering and Environment
Markus Krack

Prof. Markus Krack

Lecturer for Smart Factory

Telephone

+41 56 202 78 79 (undefined)

E-mail

markus.krack@fhnw.ch

Address

Fachhochschule Nordwestschweiz FHNW Hochschule für Technik und Umwelt Klosterzelgstrasse 2 5210 Windisch

ht_forschung_labore_automationht_forschung_laboreht_forschung_labore_ibe

What we offer

  • Degree Programmes
  • Continuing Education
  • Research and Services

About FHNW

  • Schools
  • Organisation
  • Management
  • Facts and Figures

Information

  • Data Protection
  • Accessibility
  • Imprint

Support & Intranet

  • IT Support
  • Login Inside-FHNW

Member of: