Colegio Ingenieros - IOT and Industry 4.0 _ version 3.key

Transcripción

Colegio Ingenieros - IOT and Industry 4.0 _ version 3.key
Internet of Thinks + Cognitive
Industry 4.0
Are these Connected?
2
Are these Connected?
3
Are these Connected?
4
What is IoT(Internet of Things)?
5
An Illustration
6
La GRAN pregunta
44 zettabytes
Datos no estructurados
Estamos aquí
Datos estructurados
2010
2020
Computación Cognitiva
la forma en la que pensamos
la forma en la que pensamos
observar
decidir
interpretar
evaluar
¿Podemos reproducir este proceso en un
sistema?
Los sistemas cognitivos democratizan la
innovación escalando el conocimiento
SENSORS
DATA
ANALYTICS
INFORMATION
COGNITIVE
Knowledge
Haytrescapacidadesquediferencianlossistemascognitivos
delossistemastradicionalesprogramados:
Aprenden
Razonan
Entienden
Los sistemas Cognitivos
entienden como lo
hacen los humanos , a
través del lenguaje
natural , palabras
escritas , voz o videos
Entienden información pero
también ideas no explícitas y
conceptos . Esta capacidad
de razonar es mayor según
pasa el tiempo
Nunca paran de aprender . No
ejecutan un modelo
matemático y dan una
respuesta que consideramos
exacta. Los Sistemas
cognitivos razonan y dan las
evidencias de su respuesta
exponiendo las razones por las
que han llegado a esa
conclusión.
From IBM Smarter Planet Strategy to Industry 4.0
Smarter Planet
=
Smarter Value Chain
Big Data &
Analytics
INTELLIGENT
+
INTERCONNECTED
+
INSTRUMENTED
End-to-End
Integration
Internet of Things
or M2M
IoT, Industry 4.0 and Cyber Physical
Systems
Business
B
Internet ot Things
Industry 4.0
Vertical Integration
P Presentation
A Analytics
D Data
Enterprise IT
B
I
P
A
C
D
B
AC
P
Production IT
Production IT
C I D A
C
T
34
Smarter
Products
I Integration
C Connectivity
T Thing/Machine
Cyber Physical
System
Production IT
Machines
Machines
Machines C
Smarter
Production
C I D A
Smarter
Machines
Possible Business Models: ‘pay how you use’
B Business
Internet of Things
Industry4.0
Vertical Integration
P Presentation
A Analytics
D Data
Enterprise IT
B
I
P
A
B
D
C
A C
P
Production IT
Production IT
C I D A
C
T
Smarter
Products
Machine
Machine
Machines as a Service
Machines
Machines C
Smarter
Production
I Integration
C Connectivity
T Thing/Machine
IBM Watson
Watson technologies can be leveraged to apply
cognitive capabilities
Typical Challenges in the production environment...
Separate
Systems in
Production
Data as
raw material and
information
as gold
Lack of insights
37
Increasing
threat of
Cyber-Hacks
• Different proprietary protocols and data formats
• Lack of communication between machines, shopfloor and IT systems
• Monolithic inflexible systems (no modularity)
• Enormous amount of data created
- Decentralized data storage, overwritten before used
- Lack of consistent data models and a holistic view
• Differentiation between gold and waste in data
• Insufficient insights concerning ideal setting of parameter in order to optimize
machines and product quality
• Increasing connectivity in production = more potential targets of attacks
• Security risk through to safety risk for human life
• Loss of reputation and trust
What would it be like if you could take advantage of...
Connectivity as enabler for data collection.
• Bidirectional communication between machines, shopfloor and IT-systems
Vertical
Integration in
Production
Gain data out of your machine
Change parameter within your machine
• Modularity and Flexibility
Transparency of your company gold.
Collection of
Production
Data
• Space-saving and performant data collection
• Consolidated data at factory level and beyond
Turning Data into Insights. Insights into Actions.
Analysis
of Production
Data
• Real-time analysis
• Analysis of production parameter
• Predict failure patterns (predictive maintenance)
Maximize OEE: Availability Scrap rate
Optimized production speed
Close your Security gap. Connected Devices = Target of Hackers.
38
Industrial
Security
• Secured network transition from Office-IT to Shopfloor-IT
• Industrial security from machine, to shopfloor, IT floor, even Internet
• Detective and forensic analysis of anomalies
Con IoT, se puede obtener
IoT Solutions
✓ Conexión rápida y segura de
dispositivos
✓ Optimizar Operaciones
Operaciones
✓ Permitir nuevos modelos de
negocio
✓ Nuevas formas de
interactuar con los
clientes y mercados
Edificios/Instal
RendimientoActivos Gest.Edificios
Salud&Seguridad
Gest.Trabajos
Productosconectados
Desarrollo
Producto
IoT Cloud Platform
Vehículos
Casa
Salud
Fabricas
Transporte
39
The IBM IoT Cloud Platform
Everything you need to Innovate with IoT
Third Party
Third Apps
Party Apps
IBM IoT Cloud
Platform
IBM IoT Foundation Connect
Attach, Collect & Organize, Device Management,
Secure Connectivity, Visualization
IBM IoT Foundation Information Management
Storage & Archive, Metadata Management, Reporting,
Streaming data, Parsing and Transformation, Manage
unstructured data
IBM IoT Foundation Analytics
Predictive, Cognitive, Real-time, and Contextual
IBM IoT Foundation Risk Management
Security Analytics, Data Protection, Auditing/Logging,
Firmware Updates, Key/Cert Mgmt, Org Specific
Security
40
IBM IoT Transformational Offerings
Habilitando nuevos modelos de negocio con soluciones integradas
Availabl
enow
or1H
‘16
Future
41

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