Le slide presentate da Cristina Ravaioli (Chanel Manager Inudstrial-Iot Advantech) durante il workshop "Connettere la fabbrica: le applicazioni di industria 4.0”, giovedì 12 aprile 2018, rganizzato da Faberlab il Digital Innovation Hub di Confartigianato Imprese Varese nell'ambito delle iniziative dedicate a Industria 4.0.
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L'evoluzione M2M nell'era di Industria 4.0
1. 1
L’evoluzione M2M nell’era
dell’Industria 4.0
Come dialogare con i vari dispositivi di campo creando un ponte tra il mondo OT e IT
Jaume Rey
CEO Nexiona
Fabio Perna
PSM, Advantech
3. 3
Advantech at a Glance
Advantech defines its brand mission as
“Enabling an Intelligent Planet”,
to empower innovative technologies and solutions.
• Headquarters
Taipei, Taiwan (1983)
About 8,000 pp.
• Revenue
USD $1,455M (2017)
• Service Field
Industry 4.0, Industry IoT
Smart City (Medical、Retail、Logistics)
Industrial Equipment Manufactures
• Market Position
No. 1 (32%) in Industrial PCs
5. 5
Where we areTrend of Manufacturing
75%
of production activities in a
typical manufacturing operation
are waste – they add no value at
all for the customer. (LERC)
60%
of large manufacturers
will update operations
with Industry 4.0 by
2019. (IDC)
They want to …
- Improve Operation
- Mitigate Risk
- Speed Time to Market
Market
Demand
• Rush Order
• Customized Order
• High-mix, Low-
volume Operation
Lean Manufacturing
Digital twin creation
6. 6
Rami 4.0 IoT
How to explain Advantech unique proposition?
Customer is looking to improve his production performances and the key words are :
Modularity & interoperability
Target :
•Simple to design and deploy
•Reduce Total Cost of Ownership
10. 10
• 12.1 ~ 21.5” size with 4:3 & 16:9 aspect ratio
• Front IP66, True flat, P-Cap Muti-Touch
• Logo Customization, LED and iKEY Tech.
• Opt. Wi-Fi, Bluetooth, NFC Antenna Ready
• Easy installation clip Design
• Quick Box Customization
Display Module
BOX Module
11. 11
Modular Box Platform Lineup
Cost Efficient
More than 20%+ features on standard
machine are not requested by customer
and this caused cost wasted on the
function which don’t needed
Integrated
It’s hard to manage and control many
complex PNs on customer side of old
models, which may only did a tiny
customization also need one new PN
and hard to manage
Optimized L/T
The 2nd customizable layer allows
customer preparing the standard
model in very first stage without
needing to wait until final spec
confirmation.
12. 12
M2I/RobotM2I/CNCM2I/iMachine
✓ Multiple PLC Protocol Conversion
✓ 100% Sensing Data Acquisition
✓ Visualization & Data Analysis
✓ Efficiency Optimization
✓ NC-Controller Fully Accessible
✓ Tool Magazine Management
✓ Real-time Position Offset
✓ Vision Positioning
✓ Human Safety
✓ Improved Collaboration
Mobile Dashboard
Control Dashboard
- Dashboard & Machine Management
- Efficiency & Performance Analysis
- Service Upgrade
- Quality Improvement
- Prevention Maintenance & Prediction
- Security & Risk Management
Data
Acquisition
Data
Visualization
Data
Utilization
1
2
3
Generic APP
Industrial
APPs
Domain APPIndustrial AI
21. 21
Enterprise Application and
Platform builder for Industrial IoT
Proof of Concept
Small Projects
IoT Platform in a Box
Edge Appliance
Firmware allowing Gateways to
Collect, Process and Deliver data
License RRP:
1,500€/year
License RRP:
1,500€/year
License RRP:
10,000€/year
UNO-2372G
UNO-2271G
22. 22
• OVERVIEW
• Monitoring Industrial Production Printers
• Collect usage data (number of pages, size, color,
etc…) for billing
• Consumables status for restocking
• Machine condition status and alarms for efficient
deployment of engineers and pro-active maintenance
• MIIMETIQ AGENT on MicroPC plus 3G router installed
locally to each production Printer
• Tracking up to 42 parameters for maintenance
• Feeds data automatically into RICOH’s RFP
• 10,000 machines
RFP system
• Billing
• Stock Management
23. 23
CAN Bus
Wifi, Bluetooth, etc…
• On the vehicle
• Operate standalone
• Collect and store data, any protocol
• J1939, NMEA 2000 + additional sensor data
• Set local Rules & Alarms
• Aggregate data before sending to cloud
• In the cloud
• Integrate data with business systems
• Combine with data from external systems e.g.
weather, Geo-Fencing, Traffic
• Analysis for Predictive Maintenance
Smart Commercial Vehicle Tracking
24. 24
Manufacturing
• Complex, joined up production lines
• Complex, requiring highly bespoke
solution
• Long sales cycle
• Infrequent
• Individual machines, inside the
process
• Straightforward, use current tools to
address
• Shorter sales cycle
• Lots of opportunity - new and legacy
25. 25
PLC
Temperature 2
Temperature 3
Press Pressure 1
Temperature 1
Pressure 1
Pressure 2
Pressure 3
Press Pressure 2
Power
Ambient Temperature
Ambient Humidity
Platform Vibration
GATEW
AY
• Automotive components
manufacturer
• 50 locations in 20
countries
First Phase
• Monitoring 17 parameters
• Improve visibility, better
alarms
• Gather historic data
• Explore business case
Ultimate goal
• Extend to many other
machines in the factory
• Optimise production
• Predictive maintenance
through Cycle Time
Analysis
Automotive
26. 26
GATEW
AY
PCB or
PC
PLC
PLC
PLC
SCADA
GPIOs
Fieldbus (e.g. Modbus over RS485)
- Analysis for Predictive Maintenance
- Integration with business systems
• Local monitoring, alarms, immediate response = more uptime
• Send only relevant data to the cloud = control costs
• Cycle Time Analysis = improved productivity
Automotive
28. 28
Jaume Rey
CEO
Jaume.rey@nexiona.com
Accelerating the use of Internet of Things in Industry
A cost effective combination…
✓Everything reuired for a stand alone proff of concept
✓Intelligent EDGE Processing to control Coud cost