Kay Jeschke, SAP Deutschland SE & Co. KG 29. Sept., 2016

Transkript

1 Wie Industrie 4.0 Szenarien neue Geschäftsmodelle ermöglichen Bei 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

2 Legal Disclaimer The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. This presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation and SAP's strategy and possible future developments, products and/or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information on this document is not a commitment, promise or legal obligation to deliver any material, code or functionality. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. This document is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, and shall have no liability for damages of any kind including without limitation direct, special, indirect, or consequential damages that may result from the use of this document. This limitation shall not apply in cases of intent or gross negligence. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions SAP SE or an SAP affiliate company. All rights reserved. Customer 2

3 Agenda Die SAP IoT & Big Data Strategie Die technische Basis Predictive Maintenance Der virtuelle Zwilling SAP SE or an SAP affiliate company. All rights reserved. Customer 3

4 Das Internet der Dinge und Industrie 4.0 Gesteigerte Komplexität und Varianz Big Data Smart Factory Smart Products Internet of Things 1 SMART industrial THINGS SMART industrial DEVICES ERP MES SCADA / HMI Machine Layer Industrie 4.0» Manufacturing industries & manufacturing processes» Systems, things and devices in the shop floor» OT- IT convergence» All industries» All things and devices» New, connected business models» Business networks SMART THINGS SMART DEVICES 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 4

5 What does Big Data mean? Volume Big Data Velocity Variety SAP SE or an SAP affiliate company. All rights reserved. Customer 5

6 Big Data und das Internet of Things Paradigmen Wechsel durch Big Data & IoT Process Batch Aggregated Descriptive Data silos Business Value Low High Data Real-time Granular Prescriptive Sharing 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 SAP SE or an SAP affiliate company. All rights reserved. Customer 6

7 Big Data and Internet of Things Die digitale Transformation führt zu disruptiven neuen Geschäftsmodellen Big Data Smart Data Vertical Integration Horizontal Integration Smart factory Lot Size One Predictive Maintenance Predictive Quality Business Processes New Product Offerings Selling Services not Products SAP SE or an SAP affiliate company. All rights reserved. Customer 7

8 SAP Digital Core und IoT Strategie HANA Plattform 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 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 8

9 Agenda Die SAP IoT & Big Data Strategie Die technische Basis Predictive Maintenance Der virtuelle Zwilling SAP SE or an SAP affiliate company. All rights reserved. Customer 9

10 Technische Basis für IoT & Big Data SAP HANA Platform Desktop, Mobile APPs und Business Intelligence Anwender High Performance Applications Business Planning & Forecasting Reporting & Dashboards Adhoc & OLAP Analytics Data Exploration & Visualization Predictive Analysis Lumira / BI Berechnung Application Development Environment SQL OLAP Predictive Text Spatial Rules Graph In-Memory Calculation engine Column Storage Series Data Storage Dynamic Tiering Spark Adaptor Speicherung Laden Data model & data Fast computing Smart Data Streaming High performance analytics Smart Data Access Store time-series data Aged data on Disk Smart Data Integration & Quality Access Hadoop Data Kostenoptimierte Datenspeicherung Stream Processing Virtual Tables User Defined Functions Transformations & Cleansing Quellen ERP Store & OLTP Geo Text Social Logs Machine forward Sensor 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 10

11 SAP HANA Platform In Memory computing Ist die Grundlage der HANA Plattform HANA ermöglicht die Kombination von OLTP an OLAP in einem System Zeilen und Spalten Speicherung Kompression Partitionierung Keine Aggregate 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 11

12 Big Data benötigt unterschiedliche Speicherformen HANA Data Management Platform Information Management Text Search Graph Geospatial Predictive SAP HANA In-Memory 0.0sec Instant Results HANA Dynamic Tiering Warm Data HADOOP HANA VORA Infinite Storage Raw / Archive Data 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 12

13 IoT und Big Data werden bevorzugt in der Cloud realisiert SAP Hana Cloud Platform die cloudbasierte Entwicklungsplatform für Innovtionen A platform for innovation Engines & Libraries Structured & Unstructured Unified Developer Experiences Integration Mobile Apps Business Semantics SQL & NoSQL with build-in Enterprise Readiness. 24x7 Software Change Management Availability Security Scalability Maintainability Harmonized Stack 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 13

14 SAP IoT Platform Strategie Typische IoT MGC Architektur Maschine: Turbinen, Pumpen, Roboter etc. Gateway: Industrie PC, Router, Raspberry PI, Smart Phone, Local PC Cloud/Core: Big Data Analytics and application platform (Cloud, On Premise, Hybrid) IoT Gateway IoT Gateway Cloud (IoT Core) Edge Core 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 14

15 Agenda Die SAP IoT & Big Data Strategie Die technische Basis Predictive Maintenance Der virtuelle Zwilling SAP SE or an SAP affiliate company. All rights reserved. Customer 15

16 Predictive Maintenance Graph from SAP SE or an SAP affiliate company. All rights reserved. Customer 16

17 Wie funktioniert Predictive Maintenance SAP ERP SAP CRM SAP SCM SCADA Elektronik SCADA Mechanik Event Streaming in Echtzeit IH Auftrag Monitoring in Echtzeit Engineering Change Order Analyse in Echtzeit Material Planung Prediktion ex post Wetter Drohnen Inspektion Fehler Muster 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 17

18 SAP Predictive Maintenance and Service Alert 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 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 18

19 SAP Predictive Maintenance and Service Machine 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 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 19

20 SAP Predictive Maintenance and Service Vibrations Analyse Automatische Vibrationsanalyse für Anlagen mit sich drehenden Komponenten 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 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 20

21 Agenda Die SAP IoT & Big Data Strategie Die technische Basis Predictive Maintenance Der virtuelle Zwilling SAP SE or an SAP affiliate company. All rights reserved. Customer 21

22 Consume Die Idee vom virtuellen Zwilling Nameplate Info Maintenance Strategy 3D Parts # / BOM Service Bulletins & Revs Service Bulletins & Revs Failure Modes Recalls Safety Controls Process Controls Service Bulletin Designs & Drawings Design Improvements Sensor Definition Licensing Op Instructions Maint Instructions Safety Instructions Product Training Nameplate Info Maintenance Strategy 3D Parts # / BOM Failure Modes Recalls Safety Controls Process Controls Service Bulletin Consume Publish Designs & Drawings Design Improvements Sensor Definition Licensing Op Instructions Maint Instructions Safety Instructions Product Training Publish Service Bulletin Service Receipt Bulletin Receipt Service Bulletin Service Processed Bulletin Processed Usage Information Usage Information Installation Installation Information Information Failure / Incident Failure / Data Incident Data Consume Design Recommendations Design Recommendations Risks & Controls Risks & Controls Measurement Measurement Documents Documents Telemetry Telemetry Manufacturer Service Provider Operator 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 22

23 SAP Asset Intelligence Network Das Netzwerk für den virtuellen Zwilling 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 23

24 Big Data and Internet of Things Die digitale Transformation führt zu disruptiven neuen Geschäftsmodellen Big Data Smart Data Vertical Integration Horizontal Integration Smart factory Lot Size One Predictive Maintenance Predictive Quality Business Processes New Product Offerings Selling Services not Products SAP SE or an SAP affiliate company. All rights reserved. Customer 24

25 Thank You Kay Jeschke Solution Sales Executive Manufacturing Industries M E kay.jeschke@sap.com SAP SE or an SAP affiliate company. All rights reserved. Customer 25