Labs Network Industrie 4.0 e.V.

September 2018

Industry 4.0 and education: Use Cases and Testbeds with German SME for Manufacturing

unrestricted

SME use of Industrie 4.0 applications

2

In use

Planned

Seeking

Other

2017

Sources: • bitkom; Industry 4.0: Status Quo and Outlook 2017• Bitkom: ITK-Unternehmen setzen auf Industrie 4.0 (2015) (only available in German; English translation: ITC companies are adopting Industry 4.0 (2015))

Inuse

Planned

Other

2013

In use

Planned

Other

2015

The digital transformation needs a broad-based foundation

Plattform Industrie 4.0 in Germany

3

Working groups

Plattform Industrie 4.0 in Germany

4

Representatives from business, trade union, academia,

political integration

WG4: Legal framework

WG3: Security of networked systems

WG5: Work, education and training

▪ 400 participants

▪ Relevant stakeholders in Germany

WG1: Reference architectures, standards andnorms

WG2: Technology and application scenarios

WG6: Digital business models in Industrie 4.0

International cooperations

5

Plattform Industrie 4.0

Source: Plattform Industrie 4.0

Alliance Industriedu FuturFrance

PianoIndustria4 Italy

Industrial InternetConsortium (IIC)

KooperationChina

Referenzarchitekturen angleichenfür mehr Interoperabilität

Digitising European Industry

Robot RevolutionInitiative Japan …

In cooperation with:

Thomas HahnChairman

Dr. Christian SchlägerVice Chairman

Dr. Klaus MittelbachTreasurer

Dr. Heinrich Arnold

Dr. Hans Jörg Stotz Prof. Dr. Peter PostHartmut Rauen

Sven Zehl

Our network feels connected to the entire German industry!

LNI4.0 founders, Nov. 2015

6

Member providing personal

Industrie 4.0 Stakeholders

7

Expert community from industry and academia

Inp

ut

Ou

tpu

t

DigitalTransformation

LNI4.0 offering along SME maturity

8

CONDUCT INDIVIDUAL WORKSHOPS

ARRANGE ACCESS TO APPROPRIATE TEST LABS

INITIATE STANDARDIZATION

FACILITATE USE CASES

DEFINE OPPORTUNITIES

9

Testlabs cooperation (>40 MoU)INDUSTRIE 4.0 TESTLABSBMWi Kompetenzzentren 4.0

DIGITAL HUBS

>60 Use Cases with >90 SME

10www.lni40.de

I4PRODUCTION

11

DEFINE OPPORTUNITIES

▪ Digital supply chain and knowledge exchange across Germany, Switzerland and Austria

▪ Simulated I4.0 production process

▪ Smart actuator, sensor technology and big data

INTERNATIONAL MODEL FACTORY FOR INDUSTRIE 4.0

12

FACILITATE TEST SCENARIOS

PRODUCTION ASSISTANCE SYSTEMS

▪ Expert knowledge and simulations combined to optimize production processes

▪ Using sensors and AI to make process complexity manageable

QUALITY OPTIMIZATION

13

FACILITATE TEST SCENARIOS

KNOWLEDGE MINING FOR ASSISTANCE

▪ Assistance system supports operator in current process situation

▪ Operator actions are suggested based on operating history

Black Box

Recommender

Machine

Graphical User Interface

PLC

Database with * process values, * operator values,* alarms, * recommendations,* event lists

Graphical User Interfacewith Guidance and rating

Database with process values, operator values,alarm messages

Real Machine

Graphical User Interfacefor unsolicited

Operator events

Data ObserverEvent Filters

Event Filters

Machine specific Machine independent

Event FiltersEvent Generators

Knowledge-base (key-value-store)

Event FiltersRetrieval

OPERATOR ASSISTANCE

14

FACILITATE TEST SCENARIOS

PERSONNEL ASSISTANCE SYSTEMS

▪ Questions:▪ Will we cope with the next flu

epidemic?

▪ What future effect of specific training can I foresee in Production?

▪ When should training be arranged?

TRAINING ASSESSMENT FOR WORKERS

ENERGY MANAGEMENT ASSISTANCE SYSTEM

AI IN PRODUCTIONFACILITATE TEST SCENARIOS

▪ Energy consumption forecasts optimize production costs

▪ Identify optimization potential and measures using AI

▪ Digital implementation of DIN EN ISO 50001 and 50006

15

HVAC OPTIMIZATION WITH ARTIFICIAL INTELLIGENCE

AI FOR FERRIES (HVAC)

16

FACILITATE TEST SCENARIOS

▪ 10% energy cost savings by AI

▪ Classical HVAC control technology is replaced by AI, prediction and parameter optimization (on-site or cloud)

VALIDATION OF THE CONCEPT OF INDUSTRIE 4.0 COMPONENTS

ASSET ADMINISTRATION SHELL

17

FACILITATE TEST SCENARIOS

▪ Administration shell for Industrie 4.0 components

▪ Validated at a flexible transportation system and a virtualized production plant

MECHATRONICS VOCATIONAL TRAINING PROGRAM

INDUSTRIE 4.0 EDUCATION

18

▪ Cost-optimized standard components from the “maker” culture

▪ Knowledge transfer of Plattform Industrie 4.0 RAMI administration shell

FACILITATE USE CASES

INDUSTRIAL ONLINE LEARNING FACTORY

INDUSTRIE 4.0 EDUCATION

19

▪ Networked machines over cloud and mobile devices (phone) for education

▪ Personalized production focus including the entire business process trained by self-programming of the students

FACILITATE USE CASES

TESTBED TSN

20

ARRANGE ACCESS TO APPROPRIATE TESTLABS

▪ Continuous validation of IEEE 802.1

▪ TSN product development of 29companies on neutral ground

▪ Testbed for standardization validation

TIME-SENSITIVE NETWORKING

21

FACILITATE TEST SCENARIOS

PRODUCTION ASSISTANCE SYSTEMS

▪ People with mental impairment can perform skilled work thanks to assistance systems

▪ Networking, information provision and visualization of assembly operations from ERP/MES in control cabinet construction

SKILLED WORKERS WITH DISABILITIES

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