MATTER PEOPLE...04/2018 - #4 What we do Integrated technical support and expertise through whole...
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PEOPLE MATTER DON’T AUTOMATE, AUTONOMATE
Transcript of MATTER PEOPLE...04/2018 - #4 What we do Integrated technical support and expertise through whole...
PEOPLE
MATTERDON’T AUTOMATE,
AUTONOMATE
CHALLENGES
HIM – THE VIRTUAL
GUARDIAN ANGEL
CUSTOMER
APPLICATIONS
Today’s Manufacturing business
environment relates to:
• Manage resource reduction & operating
efficiencies
• Assure product quality
• Manage manual processes with fewer people to do
the right things right
• Execute business rules to move material
CHALLENGES
Need for tool that:
• Creates, modifies and tracks work processes real-
time and easier
without stressing your IT resources
• Immediately addresses production issues
increasing quality and efficiency and reducing
waste / costs
• Integrates the M’s of Manufacturing: Manpower,
Materials, Methods, Machines (and Money)
CHALLENGES
HIM – THE VIRTUAL
GUARDIAN ANGEL
CUSTOMER
APPLICATIONS
Don’t automate, autonomate!
Arkite patented a new way to
• support complete operator
actions
• check process and/or
products
• report any abnormalities to
PLC, screen, etc.
Robust recognition
CE approved for industry
& Standard VESA
Mounting
View area 0.4 – 8m,
Power & Ethernet
connectivity, Embedded
Win10
Human Interface Mate
CHALLENGES
HIM – THE VIRTUAL
GUARDIAN ANGEL
CUSTOMER
APPLICATIONS
HIM INSTALLED AT CNH INDUSTRIAL
HIM INSTALLED AT ALRO
HIM INSTALLED AT BENTELER AUTOMOTIVE
Industry 4.0
Our ambition
Set up a new standard of excellence in Predictive Maintenance & Reliability!
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What are we doing?
Introduction : Asset Management
• Reliability EngineeringProjet de maintenance / fiabilité / méthode / GMAOSupport en EHS / INL
• Predicitive MaintenanceAnalyses vibratoires / US / Thermo
• Corporate AnalyticsAnalyse à distance (I-see / Wi-care)Suivi en temps réelElaboration de KPI
• Operational ExcellenceAudits / Coaching / Formations
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LEXIQUEGMAO = Gestion de Maintenance Assistée par OrdinateurEHS = Environment, Hygiene & SécuritéINL = INspection LégaleUS = UltraSons
Job Fairs Presentation 2018
I. Industry 4.0 / IOT / Digitalisation
27-04-185
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2016 Sales - Belgium
VW Golf
Belgium : 16.683
VW Jetta
Belgium : 193
In Belgium (and in Europe), Jetta is a failure. Why does VW spend money to engineer, produce and sell such a car ?
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VW Golf
World : 648.000
VW Jetta
World : 745.000
From a global point of view, Jetta is the most sold VW worldwide since several years. A big share of VW profits comes from that car, less expensive to engineer and produce than a Golf.
2016 Sales - World
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Conclusions
Think Global, Act Local !
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Why 1.0 ? Why 2.0 ?
Why 3.0 ?
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Internet. Since 1990’s. Most famous companies of the world (and richest) are now IT companies : Google, Apple, Facebook…
Some effects of Industry 4.0 on private life
Why 4.0 ?
• 99,99% that hydrogen pressure in nuclear reactor will not change• 0,01% that hydrogen pressure increases dramatically
Would you continue to produce nuclear power during a global control room failure ?
Would you drive your plant like this ?
Solution is simple : Maintenance 4.0
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INNOVATIVE SOLUTION
• Wi-care:• Wireless sensor.
• Semi-continuous system.
• Long-Life Battery : 5 years.
• No maintenance cost
• Patented tool
More than 5000 sensors already working today!
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Solution Wi-care
1. Sensors
2. Range extender
3. Gateway
4. Data center
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3
4
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Digitalization tool, Industry 4.O & IOT...
Management portal iSEE :
• Data analysis tools
• Custom KPI’s
• Reports and historics from any device or
platform
Multi-technologies (Vibration, infrared, oil, etc.)
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Wi-care Solution
Rules
Generate Collect Analyze ActVisualize
Continuous Improvement
Identify
Machine Learning
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You may say I’m a dreamer…
Is Maintenance 4.0 a dream ?
Is Maintenance 4.0 rocket science ?
Definitely not, since 2014, more than 5000 Wi-care units are connecting assets together worldwide, sending millions of data
every second, detecting failures everyday and providing to maintenance managers live informations to justify budgets to the
boardroom through I-see !
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What was our digitalisation process?
• Start in 2004 in LME by Fabrice Brion and Arnaud Stievenart
• First started with CM
• 1st : big step in this process : Drive and NAS
• 2nd : Wi-Care development = Wireless tool
• 3rd : iSee development
Two ways of improvement :
1. External via customer solution
2. Internal via IOT tool
POSSIBLE FOR ANY COMPANY
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Thank you for yourattention!
www.matchid.euMatchIDMetrology Beyond Colors
Metrology...beyond colors!
Miguel Sabbe, CEOFebruary 2018
MatchIDMetrology Beyond Colors
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MatchID: bridging the gap...
MatchID bridges the gap between the simulation world and the testing world
MatchID: one single platform for DIC, Material Characterization and Model Validation
?
MatchIDMetrology Beyond Colors
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MatchID: the engineering cycle 2.0
MatchID’s unique solution stack simplifies and optimizes the engineering cycle.
MatchIDMetrology Beyond Colors
Metrology... beyond colors!
Highly accurateMetrological information
A true holistic engineering platform
Validate numerical modelsA one-to-one relationship
between DIC and FEA
www.matchid.eu
Professional trainingOnline videos
Identify mechanical propertiesReconstruct stresses
MatchIDMetrology Beyond Colors
Thank you!
www.matchid.eu
Miguel SabbeE [email protected] +32 9 223 64 41M +32 499 730 984
Smart Glasses and Augmented Reality
Liége, 17.04.2018
Dipl.-Wirt.-Ing. Martin Plutz
Founder & Managing Director
oculavis GmbH
© oculavis GmbH
Home of oculavis GmbH
Our headquarters are located in the heart of Europe's largest and most modern research campus for production engineering.
© oculavis GmbH
Home of oculavis GmbH
2016founded
16employees
8nations
1Mio. €
revenuein 2017
0investors
Winner
100% Industrie 4.0
The survey „Smart Glasses in Production“ reveils the status quo
3,4% of the participants have smart glasses already in use
15,1% plan to do this in the next time
Main applications are seen in the following areas:– Worker guidance & documentation (27,3%)– Remote support by 2-way video (27,1%)– Displaying real-time information about the production system (22,8%)– Industrial image processing (17,5%)
Plutz, M.; Große Böckmann, M.; Siebenkotten, P.; Schmitt, R.: Smart Glasses in der Produktion. Studienbericht des Fraunhofer-Instituts für Produktionstechnologie IPT. Studie. Fraunhofer Publica, 2016, Download
Smart Glasses are a new technology having great potential to change workplaces
STUDY ON SMART GLASSES – STATUS QUO
There is no place like home! Why travel the world for service?
2 Trillion € turnover
3-6 daysdown time
100.000Machine & equipment
manufacturers
88%too long reaction
times
Stop travelling –Connect to the world!
The Collaboration Platform for Remote Processes
https://www.youtube.com/watch?v=-B1dMeWIPqE
SHARE YOUR …
… KNOWLEDGE - Maintenance, Repair & Overhaul
… PRODUCT - Remote Audits by the customer
… QUALITY - Remote acceptance test at your supplier
… BASICS - Training & new facilities ramp-up
… EXPERTISE - Customer support in service cases
SHARE – IoT platform and mobile collaborationSHARE delivers the right information at the right time to the right location
Customer & Service Contact PointAll information can be connected to physical products with SHARE targets
Machine ConnectivityRealtime visualization of machine parameters
Augmented RealityTraining, diagnosis scenarios & spare part management
https://www.youtube.com/watch?v=mf72WzrGeIM
SMART GLASSES
ODG R7 ODG R7 HL Epson BT300 Epson BT350
Google Glass EE Realwear HMT-1 Vuzix M300 MS Hololens Meta 2
No internet? No problem!
OFFERhttps://.share-platform.de
References
CONTACT
Dipl.-Wirt.-Ing. Martin PlutzFounder and Managing Director of oculavis GmbH
+49 241 8904-309 +49 173 7111377* [email protected]
Tailor-made monitoring and quality control solutions
Innov’action Aerospace 4.0 - Liege - April 2018
V2i S.A.Avenue du Pré-Aily, 25Liège Science Park4031 LIEGE - BELGIUM
T. +32 (0)4 287 10 70F. +32 (0)4 287 10 [email protected]
04/2018 - #3
Who we are
SME - 19 employees
2004
Simulation of
Vibrations - FEA
&
Experimental
Vibrations
1. Who we are
2. What we do
3. Case 1
4. Case 2
5. Case 3
04/2018 - #4
What we do
Integrated technical support and expertise through whole productlife time
FEA - Simulation
• Numerical Modal Analysis
• Fatigue Study
• Response Prediction
Vibration Testing - Measurement
• Fatigue Testing
• Shaker Testing: Engineering – Qualif / Certif
• Experimental Modal Analysis
Monitoring Solutions
• NDI solutions - Quality Control
• Structural Health Monitoring
• Machine Condition Monitoring
• Database
• Machine learning
Model Correlation
Measurement-based Monitoring
Model-based Monitoring
Development Validation Production In-Service
1. Who we are
2. What we do
3. Case 1
4. Case 2
5. Case 3
04/2018 - #5
What we do –Our approach for smart monitoring
1. Who we are
2. What we do
3. Case 1
4. Case 2
5. Case 3
Our monitoring is NOT a lot of basic sensors everywhere.
Our approach:
• Measure directly what is accessible. Even if it is very complex.
(high sampling rate, 3D measures…)
• Extract direct information.
• What is not directly accessible: correlations / physical rules between
other simple and inexpensive measures.
• All those measurements are processed in real time, correlated with old
results, with all useful data about the process, the product…
• In (nearly) real time, faults are detected.
• All the data / measurements / analyses are accessible in real time, via
the web, to any authorized person.
04/2018 - #6
What we do –Our approach for smart monitoring
1. Who we are
2. What we do
3. Case 1
4. Case 2
5. Case 3
Notes :
Added value :
Our databases are essential tools to understand the dysfunction
and provide a solution. (always physical meaning)
Brain and even a part of the DB locally
(speed of decision, limit transfers and storage, autonomy if
transmission bug.)
Possibility of self-learning system ( risk of instability).
Always: very precise measurements,
of high quality,
and as little as possible
physical rules (no magic algorithm)
04/2018 - #7Case 1: Automated in-line non-destructive inspection
• Framework: H2020 project – Factories of the Future – FoF-07-2017
• Website: http://lay2form-project.eu/
• Main objectives:
o Reduced production cost and time (inspection 6 to 8 times faster than US technique)
o Resource efficiency improvement (waste decreased, recycling)
o Strengthened global position of European manufacturing industry
o Low capital investment solutions for SMEs
• Our task: Development of an automated in-line quality diagnosis system by combining and
integrating vision, shearography and thermography, i.e. robotized full field and contactless non-
destructive inspection techniques to control large parts with complex geometry
• Our deliverable tailor-made software development for data management, i.e. acquisition, analysis,
processing, archiving
1. Who we are
2. What we do
3. Case 1
4. Case 2
5. Case 3
04/2018 - #8Case 2: Automated in-line quality diagnosis system
1. Who we are
2. What we do
3. Case 1
4. Case 2
5. Case 3
• Context:
o Coils welded together to ensure process continuity
o Welding = weak section
o In case of failure: 2 or 3 days off
• Solutions:
o Acquisition of all relevant data process
o New sensors (profile, T°, force, speed, current, etc)
o Tailor-made software for
▪ Real-time diagnosis
▪ Long term maintenance and process optimization
• Features
o Multi-sensor platform
o In-line quality control
o Data archived in a local database for long term applications
o Remote access
o Objective: zero-defect
• Results
o Number of defects reduced by > 50% within the first year (without any training of the system)
IoT Award
Intel
04/2018 - #9Case 3: Laboratory 4.0
1. Who we are
2. What we do
3. Case 1
4. Case 2
5. Case 3
DAQ system N
DAQ system 1
Central Data base
Measurement files,
Sensor calibrations,
Reports,…
…DAQ device 1
DAQ device N
DAQ system:
- Acquisition and recording
- SW synchronization (for non HW
synchronized data)
Sensor 1
…Sensor N
… GPIB, Serial,
Ethernet, USB,..
Wireless
Hundred of channels,
HW synchronization of
multiple sensors
on multiple DAQ device
Acceleration, temperature,
strain gauges, voltage, force
sensor,…
Actuator 1
Voltage output with profile
definition, step motor
control,…
Actuator N
…
Global solution for data management in a laboratory thanks to
the development of a Hardware Abstraction Layer
• Acquire & control: hundreds of channels of various type. HW and SW
synchronization. Control of different actuators (step motor, voltage,…)
• Visualize & analyze: calibration of sensor, graphs, computations,
annotations,..
• Share: share measurement results, calibration factors of sensors and
automated reports via a central databaseRemote software interface
Network of test benches
Hardware Abstraction Layer
04/2018 - #10Case 4 : jet engine test bench
1. Who we are
2. What we do
3. Case 1
4. Case 2
5. Case 3
04/2018 - #11Note / Conclusion
1. Who we are
2. What we do
3. Case 1
4. Case 2
5. Case 3
We try to give answers with very up-to-date solutions open to the near future.
BUT :
- In that field, the future can be tomorrow;
- Sometimes very exciting solutions will never arrive.
So it's very difficult and time consuming to try to be in the good trend.
04/2018 - #12
Thank you !
Christophe LOFFETBusiness Development
Tel : +32 4 287 10 76Mob : +32 494 78 74 97Mail: [email protected] Website : www.v2i.be
