Wie Industrie 4.0 Szenarien neue Geschäftsmodelle ermöglichenBei Industrie 4.0 spricht man oft von Big Data & Machine Learning.
Der Weg von Remote Service zu Predictive Maintenance ist dabei nur ein Anwendungsbeispiel wie aus
Visualisierung und Vorhersage ein richtiger Mehrwert geschaffen wird.
Kay Jeschke, SAP Deutschland SE & Co. KG
29. Sept., 2016
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All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially
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Agenda
Die SAP IoT & Big Data Strategie
Die technische Basis
Predictive Maintenance
Der virtuelle Zwilling
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 4
Das Internet der Dinge und Industrie 4.0 Gesteigerte Komplexität und Varianz Big Data
Internet of Things
» All industries
» All things and devices
» New, connected business models
» Business networks
SCADA / HMI
Machine Layer
MES
ERP
1
Industrie 4.0» Manufacturing industries &
manufacturing processes
» Systems, things and devices in the shop floor
» OT- IT convergence
SMART industrial THINGSSMART industrial DEVICES
SMART THINGSSMART DEVICES
Smart Factory Smart Products
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What does Big Data mean?
Velocity Variety
Volume
Big
Data
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Big Data und das Internet of ThingsParadigmen Wechsel durch Big Data & IoT
Klassische Rolle von IT Systemen
Prozess gesteuert
Batch Prozesse – zwischen verschiedenen Systemen
Aggregierte Daten – Per Produkt / Markt
Beschreibende Analysen – Was passierte?
Daten Silos – IT vs. OT, limitiert innerhalb des Unternehmens
Anforderungen an IOT & Big Data
Daten gesteuert
Echtzeit Prozesse– sofortige Reaktion
Hohe Granularität– Data Streaming
Vorhersagenden Analysen– Was wird passieren?
Data sharing – über Unternehmensgrenzen hinweg
Business Value
High
Low
Data
Real-time
Granular
Prescriptive
SharingProcess
Batch
Aggregated
Descriptive
Data silos
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Big Data and Internet of ThingsDie digitale Transformation führt zu disruptiven neuen Geschäftsmodellen
New
Product
Offerings
Vertical
Integration
Lot Size
One
Horizontal
Integration
Predictive
MaintenanceSmart
factory
Predictive
Quality
Smart Data Business Processes
Big Data
Selling Services
not Products
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SAP Digital Core und IoT Strategie
Schnelligkeit
Liefert Business Usern hilfreiche
Einblicke im richtigen Moment
Intelligenz
Von Automatisierung zu
vorhersagenden Empfehlungen
Integration
Zwischen internen Abteilungen und
verbunden mit der ganzen Welt
HANA Plattform
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Agenda
Die SAP IoT & Big Data Strategie
Die technische Basis
Predictive Maintenance
Der virtuelle Zwilling
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 10
Technische Basis für IoT & Big DataSAP HANA Platform
Desktop, Mobile APPs und Business Intelligence
Reporting &
Dashboards
High Performance
Applications
Data Exploration
& Visualization
Adhoc & OLAP
Analytics
Predictive
Analysis
Business
Planning &
Forecasting
Lumira / BIAnwender
10101001
01011010
01110
Smart Data Streaming
Stream Processing
Smart Data Access
Virtual Tables
User Defined Functions
Smart Data Integration & Quality
Transformations & Cleansing
Laden
LogsTextOLTP Social MachineGeoERPSensor
Store &
forwardQuellen
Application
Development
Environment
Berechnung
SQL OLAP Predictive Text Spatial Rules Graph
In-Memory
Data model & data
Calculation engine
Fast computing
Column Storage
High performance analytics
Series Data Storage
Store time-series data
Dynamic Tiering
Aged data on Disk
Speicherung
Spark Adaptor
Access Hadoop Data
Kostenoptimierte
Datenspeicherung
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SAP HANA Platform
In Memory computingIst die Grundlage der HANA Plattform
HANA ermöglicht die Kombination von OLTP an OLAP in einem System
Zeilen und Spalten Speicherung
Kompression
Partitionierung
Keine Aggregate
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Big Data benötigt unterschiedliche Speicherformen
HANA Data Management Platform
Instant Results
SAP HANA
In-Memory
Warm Data
HANA
Dynamic Tiering
0.0secInfinite Storage
Raw / Archive Data
HADOOP
HANA VORA
Information Management | Text | Search | Graph | Geospatial | Predictive
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IoT und Big Data werden bevorzugt in der Cloud realisiertSAP Hana Cloud Platform die cloudbasierte Entwicklungsplatform für Innovtionen
A platform for innovation…
…with build-in Enterprise Readiness.
Engines & Libraries
Structured & Unstructured
Business Semantics
SQL & NoSQL
Unified Developer Experiences
Mobile Apps
Integration
Software
Change
Management
Availability Security Scalability Maintainability Harmonized
Stack
24x7
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SAP IoT Platform StrategieTypische IoT “MGC” Architektur
Maschine:
Turbinen, Pumpen, Roboter etc.
IoT Gateway
IoT Gateway
Cloud (IoT Core)
Gateway:
Industrie PC, Router, Raspberry
PI, Smart Phone, Local PC
Cloud/Core:
Big Data Analytics and application
platform (Cloud, On Premise, Hybrid)
Edge Core
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Agenda
Die SAP IoT & Big Data Strategie
Die technische Basis
Predictive Maintenance
Der virtuelle Zwilling
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 16Customer
Predictive Maintenance
Graph from http://reliabilitycenteredenergymanagement.com/wp-content/uploads/2011/10/P-F-Curve.jpg
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Wie funktioniert Predictive Maintenance
SCADA
Mechanik
SCADA
Elektronik
Wetter
SAPCRM
SAPERP
Drohnen
Inspektion
Monitoring
in Echtzeit
Analyse
in EchtzeitPrediktion
ex post
SAPSCM
Event Streaming
in Echtzeit
IH
Auftrag
Engineering
Change
Order
Fehler Muster
Material
Planung
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SAP Predictive Maintenance and ServiceAlert Analysis
Visualisierung von Maschinen-KPIs und Drilldowns
Rollenbasierte Visualisierung von
Maschinenwarnungen und -KPIs
Grafischer Drilldown der Alarme (per Region, Kunde,
etc.) für echtzeitnahe Erkenntnisse
Erfassung von Anlagenstandorten
Hinzufügen von Geo-Positionsdaten zu
Anlagen für deren Erfassung auf Karten
Grafische Hervorhebung von Alert-Situationen auf der
Karte und Drilldown in die betreffenden Anlagen
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SAP Predictive Maintenance and ServiceMachine Learning
Anwendungsfälle für vorausschauende Analysen
Prognose von Störfällen zur Vermeidung von Ausfallzeiten
Auf der Fehlersituation basierende Ersatzteilplanung
Optimierung von Instandhaltungsplänen
Prädiktives Qualitätsmanagement
Machine Learning mit SAP Predictive Analytics
Anwendung von Algorithmen für Machine Learning auf Sensor- und
Fehlercodedaten in SAP Predictive Maintenance and Service, z. B.
Klassifikation, z. B. Entscheidungsbäume
Outlier Analysis z. B. Anomaly Detection
Lebenszyklus-Analysen, z. B. Weibull
Root-cause Analysen, z. B. Key influencing factors
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SAP Predictive Maintenance and ServiceVibrations Analyse
Erfassung von Vibrationen
Hochfrequenzaufnahmen von Vibrationen
Berechnung des Vibrationsspektrums
Bestimmung des Grenzwertbereichs für die
automatische Erkennung von Abweichungen
Prozessautomatisierung
Identifizierung relevanter Oberschwingungen für die einzelnen
Komponenten
Automatische Erkennung von Abweichungen für die einzelnen
Systemkomponenten
Anlegen von Alarmen bei festgestellten Mängeln
Automatische Vibrationsanalyse für
Anlagen mit sich drehenden Komponenten
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Agenda
Die SAP IoT & Big Data Strategie
Die technische Basis
Predictive Maintenance
Der virtuelle Zwilling
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 22Customer
Die Idee vom virtuellen Zwilling
Manufacturer Service Provider Operator
Nameplate Info
Service Bulletins & Revs
Maintenance Strategy
3D Parts # / BOM
Recalls
Safety Controls
Process Controls
Service Bulletin
Designs & Drawings
Sensor Definition
Op Instructions
Maint Instructions
Safety Instructions
Product Training
Licensing
Failure Modes
Design Improvements
PublishConsume
Measurement Documents
Telemetry
Usage Information
Installation Information
Failure / Incident Data
Service Bulletin Receipt
Service Bulletin Processed
Risks & Controls
Design RecommendationsPublish
Co
nsu
me
Consume
Nameplate Info
Service Bulletins & Revs
Maintenance Strategy
3D Parts # / BOM
Recalls
Safety Controls
Process Controls
Service Bulletin
Designs & Drawings
Sensor Definition
Op Instructions
Maint Instructions
Safety Instructions
Product Training
Licensing
Failure Modes
Design ImprovementsMeasurement Documents
Telemetry
Usage Information
Installation Information
Failure / Incident Data
Service Bulletin Receipt
Service Bulletin Processed
Risks & Controls
Design Recommendations
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SAP Asset Intelligence Network
Das Netzwerk für den virtuellen Zwilling
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 24Customer© 2015 SAP SE or an SAP affiliate company. All rights reserved. 24Customer
Big Data and Internet of ThingsDie digitale Transformation führt zu disruptiven neuen Geschäftsmodellen
New
Product
Offerings
Vertical
Integration
Lot Size
One
Horizontal
Integration
Predictive
MaintenanceSmart
factory
Predictive
Quality
Smart Data Business Processes
Big Data
Selling Services
not Products
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 25Customer© 2015 SAP SE or an SAP affiliate company. All rights reserved. 25Customer
Kay Jeschke
Solution Sales Executive
Manufacturing Industries
M +49 160-8896144
Thank You