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30 anniin Italia
22nd February 2018
Carlo Nigri | Industry Solution Advisor
The Future of Energy is Live
30 anniin Italia
30 anniin Italia
Maintenance 4.0
with
SAP Leonardo
30 anniin Italia
30 anniin Italia
The DATA is the new oil
Da
taM
art
Utility
Digital Twin
Big
Da
ta Industry4.0
Excellence
IIoT
Predictive
EnergyCost reduction
Imp
rov
em
en
ts
Artificial Intelligence
Blockchain
DataS
en
so
rs
Maintenance
PowerN
etw
ork
Machine LearningInternet of Things
As
se
t
Wa
ter
GAS
Gri
d
Op
era
tio
n
Utility
Digital Twin B
ig D
ata
Industry4.0
Excellence
IIoT
Predictive
Energy
Cost reduction
Imp
rov
em
en
ts
Artificial
Intelligence
Da
taM
art
Blockchain
Data
Se
nso
rs
MaintenancePower
Ne
two
rk
Machine Learning
Internet of Things
As
se
t
Wa
ter
GAS
Gri
d
Op
era
tio
n
Data
Digital Twin
Company
Money
Strategy
Str
ate
gy
Sh
are
ho
lde
rs
Money
Gri
d
Power
30 anniin Italia
30 anniin Italia
The DATA is the new oil
from kilowatt to kilobyte
from Linear operation & maintenance
Manufacturer
design & built
Operator
buy & deploy
Service Provider
maintain decommission
…Operator
capitalize
30 anniin Italia
to collaborative Enterprise Asset Management
past
NOW
Digital Twin
GeographicalEnablementFramework
SAP FEDEMFor Structural
Dynamics
PredictiveMaintenance
& Service
SAP Asset
Manager
SAP HybrisService
Asset Managerfor Resource Scheduling
SAP Leonardo
IoT Services
SAP S/4 HANA EAM
SAP Asset Intelligence
Network
SAP S/4 HANA
CLOUD
30 anniin Italia
SAP Geographical Enablement Framework
30 anniin Italia
30 anniin Italia
Digital Twins integrate
artificial intelligence
machine learning
software analytics
with data to create living digital simulation modelsthat update and change as their physical counterparts’change. A digital twin continuously learns and updates itselffrom multiple sources to represent their near real-time status.
The digital representation provides both the elements and thedynamics of how an Internet of Things device operates andlives throughout its life cycle
What does this buzzword mean?
Digital twin refers to a digital replica of physical assets,
processes and systems that can be used for various purposes.
30 anniin Italia
IoT and Machine Learning in the field
SAP PdMSPredictive Maintenance & Service
SAP FedemDigital Twin for Structural Dynamics
SAP AINAsset Intelligence Network
30 anniin Italia
30 anniin Italia
Numbers don’t lie
% Components of complex assetsexhibited a random failure pattern, so it is
required an “on-condition” or predictive approach.Reliability-centered Maintenance, Second Edition, John MoubrayBathtub curve for complex asset reliability description.
89
% equipment downtime reduction rate byusing IoT and predictive maintenance
strategy in asset intensive industrial companiesMCKINSEY GLOBAL INSTITUTEthe internet of things: mapping the value beyond the hype
50
% of companies said they wereeffective at using data to guide future
strategy and stay competitiveMITSloan Management Review2017 Data & Analytics Global Executive Study and Research Report
55
30 anniin Italia
SAP PdMS
Predictive Maintenance & Service
30 anniin Italia
Technology is changing our approach to maintenance
Breakdown Preventive On-Condition Predictive
Use of Maintenance Strategy*
The Internet of Things is leading to increased use of on-condition andpredictive maintenance strategies
Although still relevant, preventivemaintenance typically results in over-maintaining assets and high cost
The goal is to increase our useof advanced maintenancestrategies and reduce reactivemaintenance events
*Proportion of maintenance strategies are for illustration purposes only and will vary based on many factors
Breakdown Preventive On-Condition Predictive
Today
Future
30 anniin Italia
SAP PdMS - How does it work?
Machine Learning Engine
Analysis Tools Catalog
SAP Predictive Maintenance and Service
Explorer
Explorer Details
SAP Leonardo Foundation
SAP Leonardo for Edge Computing
SAP Leonardo Foundation
SAP Leonardo for Edge Computing
Logistics & Maintenance
Execution Systems
Business DataMachine Data
Details
30 anniin Italia
SAP AIN
Asset Intelligence Network
30 anniin Italia
Service Bulletin ReceiptService Bulletin Processed
Usage InformationInstallation InformationFailure/Incident Data
Design RecommendationsRisks & Controls
Measurement DocumentsTelemetry
Design & DrawingsMaintenance Strategy
Failure ModesRecalls
Safety ControlsProcess ControlsSpare Parts ListService Bulletins
LicensingProduct TrainingSensor Definition
Design & DrawingsMaintenance Strategy
Failure ModesRecalls
Safety ControlsProcess ControlsSpare Parts ListService Bulletins
LicensingProduct TrainingSensor Definition
Manufacturer Service Provider Operator
Consume
Shared model database
Provider/operator network
Secure infrastructure
Global equipment
registry
Control Over Data Shared
Service Bulletin ReceiptService Bulletin Processed
Usage InformationInstallation InformationFailure/Incident Data
Design RecommendationsRisks & Controls
Measurement DocumentsTelemetry
Publish
PublishConsume
SAP AIN high level process flow
30 anniin Italia
Execution of the digital manufacturer information
Digital Manufacturer Information about
Technical Characteristics
Parameters, Protocols & Interfaces
Activities carried out by humans (assembly, installation, operation, maintenance, disposal)
Is the foundationfor Industry 4.0 and the Internet of Things
…
Standard
VDI
2770
30 anniin Italia
SAP FEDEM
Finite Element Dynamics in Elastic Mechanisms
30 anniin Italia
The 16 windmills are 120m high and feature rotorblades which, when combined, cover an area of5,000m; and produce energy at wind speeds of up to25m/s [roughly 50 nots - Beaufort: Force 10 storm]
Havøygavlen is the world's most northerly windmillpark with an annual output of around 120GWh,enough to service between 5,000 and 6,000households in Norway.
Digital Twin demo project
30 anniin Italia
Physics-based monitoring and simulation
SAP Fedem monitors structures and mechanical systems in real-time
Real-time 3D Visualization
Intuitive & user friendly 3D rendering of Digital Twins based on physical-based sensor insights.
Data Science (Service)
Virtual monitoring of asset specific metrics for anomaly detection based on statistical and physics data.
Runtime Finite
Element Analysis
Calculation of finite element models in real-time during operations of assets.
(Based on FEDEM)
Lifetime Transparency
Calculation of material fatigue and improved prediction of the useful remaining life based on registered stress cycles
Model-based Analytics
Analyze assets using a real-time Digital Twin model to perform the analysis (incl. virtual sensors simulation) and capture results.
SAP Integration
Business Process Integration into Predictive Maintenance & Services, SAP PM on ECC and S/4HANA EAM.
30 anniin Italia
SAP HELP PORTAL
SOLUTION EXPLORER
Where to find more value for you and your customers
SAP LEONARDO
30 anniin Italia
30 anniin Italia
THANK YOU
Carlo NigriIndustry Solution Advisor
SAP Italia S.p.A.
+39 340 958 6628
