Uploaded by Adrianta Wardhana

MindSphere Challenge: Federated Platforms Business Use Case

advertisement
Siemens MindSphere Challenge – Business Use Case
Challenge - Federated Platforms (the@vanced & MindSphere)
Company: Kampf Schneid- und Wickeltechnik GmbH & Co. KG
Industry: Machine and Plant engineering
Size: 600 employees, €120 million sales
Main products, innovation: Cutting and winding machines for all kinds of web-shaped materials up to
cutting widths of 11m, specially developed Industry 4.0 platform the@vanced (see below)
Customer structure and products: Kampf designs, constructs and builds machines for the processing of
web- shaped material, i.e. everything you can "wind up".
The products that run on their machines range from potato chip packaging, security bills and TFT / OLED display
film to lithium-ion rechargeable batteries for e-mobility. (Packaging, sanitary articles, screens, construction
industry, energy storage, etc.)
YouTube links to the integrative platform the@vanced:
the@vanced: https://www.youtube.com/watch?v=QNQb453sXio (Teaser)
the@vanced: https://www.youtube.com/watch?v=P_HXCoc1yPo (Product film)
KAMPF now introduces a new tool on the market, which will provide so-called Smart Services comfortably.
the@vanced will enable entry into the intelligent production landscape of the future. the@vanced was developed
in intensive exchange with producers and processors of web-shaped materials and offers next to electronic spare
parts catalogs and interactive documentation further modules for process optimization.
the@vanced integrative platform is based on cloud technology and builds on the following three pillars of
efficiency strategy:
1. Smart Production– Being Efficient
• Retrieve production information in real time
• Automatically generate performance metrics
• Equip finished products with a complete digital resume
2. Smart Maintenance – Staying Efficient
• Immediate access to spare parts
• Detailed maintenance videos
• Retrieval and access conveniently via QR code
3. Smart Operation– Boosting Efficiency
• Big Data Lake
• Analysis of potentials with Big Data Analysis
MindSphere Challenge
1 |Page
Use Case
A manufacturer of TFT display film and battery separator film produces at various locations. On the production
lines KAMPF cutting machines are available to cut the film to the desired widths.
The production managers in the different locations use the@vanced to monitor the status of the KAMPF
machines. The machine data, in particular the performance indicators, are exchanged with the MindSphere. There
they can be displayed and analyzed for the individual locations. The aim is to compare the different production
sites in order to tap potential for improvement.
Figure 1: the@vanced in on-premise operation
Figure 2: Screenshot of the@vanced - Shopfloor view
MindSphere Challenge
2 |Page
The the@vanced runs on customer request as "On Premise Solution" with local server. There, among other things,
various data of the machines are kept on the shop floor (Fig. 1 – Fig.4).
Figure 3: Screenshot the@vanced - Live Machine Data
Figure 4: Screenshot the@vanced - Key Performance Indicators
MindSphere Challenge
3 |Page
Figure 5: Production sites with the@vanced and data exchange with the MindSphere
Selected data can be sent to Siemens IoT open platform, MindSphere (Fig.5).
The challenge is to create an opportunity to present, compare and analyze the different locations in MindSphere.
Starting points for ideas for the Challenge can be the selection of necessary data, their level of detail and a
meaningful form of presentation for the comparison of the production locations.
Problem Description
▪
What problems do you want to address?
"Federated Platforms" - Integration of MindSphere and the@vanced using the example of key
performance indicators of production sites and their machines. It's about connectivity and
interoperability of the platforms.
▪ How do you tackle the problem today?
The data are "on premise", i.e. local. Production sites may be connected via VPN. In the future, the data
required to compare different locations will be available in MindSphere. In MindSphere, the locations
should be presented with meaningful data and compared with each other.
▪ To whom does the problem concern?
All our customers with the@vanced
▪ Is there any additional background information that can help you find a solution?
At MindSphere, two production sites with pilot plants are made available.
A factory tour at fight with demonstration of the machines can be offered. Further information and
machine data will be provided agilely during the challenge if required.
MindSphere Challenge
4 |Page
Technical assistance for the developers
▪ Type of data?
Production data / performance indicators of the machines from the@vanced and the MindSphere.
Optional for each machine:
•
All data of the SIEMENS drives and built-in sensors that are addressed / read out via the
SIEMENS Simatic PLC.
Attaching additional sensors is possible and is often supported.
▪ Type of machines / plants?
Cutting and winding machines
▪ Description of data availability?
Records are already present in the@vanced and can be transferred to the MindSphere. New data is
generated continuously in the technical center.
▪ Are the data already evaluated?
The data is already evaluated today, but not on the basis of MindSphere and the additional opportunities
that arise.
Contact:
Siemens MindSphere Lounge
Campus Boulevard 79
52074 Aachen
Email: info@cki.rwth-aachen.de
MindSphere Challenge
5 |Page
Download