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SAP Industry 4.Now TechnologiesAnsaldo Energia's predictive maintenance - learn how the company implemented SAP IoT and Edge Services in their lighthouse plant for European Industry 4.0

Giorgio Murroni, Senior Product Manager SAP IoT and SAP Edge ServicesOctober 29th , 2020

3PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ

• Enabling Industry4.Now

• SAP IoT and SAP Edge Services

• Customer Success: Ansaldo Energia

• Summary

• Appendix

Agenda


Edge computing

5G Cellular Networks

Market Drivers and Dynamics IoT technology as key enablers for Industry 4.0 business scenarios

Technology Enablers

Industrial Big Data Management

Customer

Experience

Individualized Products & Services

Pro-active Decision Making

Worker Safety

Business

Performance

Increase Productivity

New Revenue Streams

Reduce Manual Tasks and Onsite Work

Efficiency

Increase Productivity

Remote Service

Real-time Transparency

Cloud Computing

Internet of Things


SAP Digital Supply Chain

ApplicationsSAP S/4HANA Cloud SAP C/4HANA

Cloud Provider IoT

Cellular Cloud

Edge

Non-SAP Building BlockSAP Building Block

Optional SAP Building Block Optional Non-SAP Building Block

SAP Edge Services

SAP IoT


applications

SAP Plant Connectivity

Other SAP applications

SAP Edge Services

Cloud Applications

Devices

Devices

Business Architecture for Industry 4.0 - Enabling Technologies Overview

Other SAP applications

Devices

Devices

Business User

Business Technology

Platform

On-Premise applications

SAP S/4HANA

Non-SAP systems

SAP ECC

Data Scientist

Business Analyst

Cloud Provider Partner Services

(e.g. Data Lake, ML/AI)

Master Data

SAP Analytics Cloud

SAP Cloud Platform

SAP Data Intelligence


Connect your entire company

IoT technology as key enablers for SAP Industry 4.Now

Sales Service & Support

Marketing

Front Office

Production & Logistics

Supply Chain

The Intelligent Enterprise

Intelligent Product

Intelligent Factory

Intelligent Assets

Empowered People

IoT enabling Intelligent Factories for

• Intelligent data driven quality control

• IoT enabled Kanban

• Lot size of one

IoT enabling Intelligent Products for

• Product-as-a-service

• Remote monitoring and service

• Consumption insights and design optimization

IoT enabling Intelligent Assets for

• Easy equipment onboarding incl. connectivity

• Remote monitoring and service

• Sensor driven replenishment of consumables

• Delivery insights for procurement and sales

IoT enabling Empowered People for

• Decision support to manage exceptions in near real-time

• Worker safety

HR

IT

Procure & Finance

BackOffice

Customer and Employee Experience

IoT Cloud & Edge


SAP IoT - Embedded Intelligence

Physical Asset

SAP IoT data processing

Cloud & Device

Connectivity

Master Data

Association

Data

Transformation

Big Data

Storage Business Process

Example Raw Sensor Data Business Context Transformation Business Insight

Replenishment

Optimization

Silo/Container empty

Space Distance

• Material ID

• Plant & Storage Location

Calculate Material

Volume over Time

Consumption Rate

Predictive

Maintenance

Temperature, Pressure,

Vibration, Current, etc.

• Asset Master Data

• Business Partner

Compute Health

Score KPIs based on

Predictive Models

Maintenance Service

Delivery Insights Temperature, Humidity,

Vibration, etc.

• Material Master Data

• Handling Unit ID

• Sales Order

Minimum Temperature

over tolerance time

window

Damaged Delivery

Data

Analysis

Enable the Transformation of IoT Sensor Data into Business Outcomes

in SAP Industry 4.Now Applications


IoT enabling Intelligent Factories

Example Raw Sensor Data Business Context Transformation Business Insight

Improved shop floor

efficiency and

transparency

Mode of operations, output,

energy consumption

• Production Order

• Machine Master Data

Convert production input and output

data into throughput, availability and

quality

Calculation of Overall

Equipment Efficiency

Increased availability of

shop floor

Mode of operations, output,

energy consumption

• System availability

• Performance

Collect, analyse and action on data

at the shop floor

Data integrity, reduced

data gaps.

Tailored stock levels Weight, fill level of raw

material and semi-finished

products – Kanban

enablement

• Warehouse

management

• Material flow

Convert actual in stock quantities

into stock requirements

Automatic trigger and

calculation of tailored

stock level

Data driven quality

control

Quality measurement data • Production order

• Batch ID

Transform measurement data in

quality results (accept / reject)

Non-conformance

notification

A smart factory is agile, adaptable, and efficient.

Decisions can be taken real-time at the Edge.

Machine Business Process





• Summary

• Appendix

Agenda


Digital Twin Foundation

IoT embedded in SAP business applications IoT enabled

customer appsSAP Business Apps extended with IoT

SAP Edge Services

SAP Edge Services

Event ServicesStreaming Rules, Batch

RulesActions, Integration Decision Support Services Analytics Services

Time Series Management Master Data & Semantics Derive & Transform Data Geo ServicesLifecycle Management

Onboarding & Device Management

Data Ingestion & Big Data Storage

SAP IoT

SAP IoT – Main Services


SAP Edge Services – Value Proposition

Challenges BenefitsSAP Edge Services

Lack of

Business

Context

Latent

Response

Intermittent

Connectivity

Costly

Communication

Lack of Local

Intelligence

Siloed IoT

Endpoints

Business

Integration

Real-time

Decisions

Increased

Worker

Productivity

Efficient

Mass Scale

Management

Essential

Business

Functions

Configurable

Edge

Streaming

Automated

Data

Throttling

Cloud

Managed

Microservices

Reduced

Downtime

Cost Savings

75%of enterprise-generated data will be created and

processed outside a traditional centralized data

center or cloud by 20251

Source: Gartner 2018: What Edge Computing Means for Infrastructure and Operations Leaders

Bring the Intelligent Enterprise to the Edge with SAP Edge Services

Local

Persistency


SAP Edge Services Brings together local compute, persistency, and business transactions at the edge

SAP Edge Services enables powerful microservices to be deployed at the edge

but orchestrated from the cloud to extend the processing power of the cloud to the edge

Policy Service

Orchestration & lifecycle management of edge services from the

cloud

Essential Business Functions Service

Provides business context (data and processes) at the edge

Streaming Service

Analyze IoT data streams in real-time based on business logic

Persistence Service

Locally store IoT data on IoT gateways

Custom Edge Services, e.g. Predictive Analytics

Deploy, execute, and integrate with business processes

Essential

Business

Functions

Service

Streaming

Service

Cloud

Edge

SAP IoTSAP Edge

Services

Policy Service

Persistence

Service

Custom

Edge

Service

IoT Gateway or Edge Server

Sensors and Devices

Device

Management





• Summary

• Appendix

Agenda


First implemented in their lighthouse plant for European Industry 4.0, Ansaldo gathers and

analyzes equipment data to provide the basis for Predictive Maintenance & Service (PdMS),

and facilitate faster, more efficient processes

Ansaldo Energia S.p.A. - An International Utilities Company SAP IoT and Edge Services support comprehensive Industry 4.0 strategy

• SAP Edge Services: analytical

pre-processing for local alerts

and throttling, e.g. sending

only measurements out of

predefined range

• SAP IoT: storage,

normalization and validation of

data not processed directly at

the edge

• Reduce downtimes of

productive machines and

systems

• Improved quality and

customer service

• New revenue stream

through predictive asset

service

• Utilize Edge to process locally and

run in locations with intermittent

connectivity

• Create situational awareness on

health and performance of plant

equipment and field assets

• Enable root cause analysis on

operating processes at the edge

• Interfacing and acquiring

data from plant equipment

such as milling machines,

e.g. component rotation,

axis rotation

Company Profile:

Industry: Utilities

Headquarter: Italy

Size: Large Enterprise

Solutions:

SAP IoT

SAP Edge Services

SAP PdMS

SAP S/4HANA

1 2 3 4

Devices / Edge

Locations

Resolved

Challenges

Business

Logic

Business

Outcomes

+1.3M Expected in service

revenue over the next years

5-8% Cost reduction in equipment

maintenance processes

Intelligent Asset / Intelligent Product / Intelligent Factory / Empowered People


Architecture

SAP (Production)

MES

Maintenance

PLM

Shared Areas

SAP IoT Edge Platform

SAP Edge Services

Device management &

secure connectivity

Business context

integration

Time series services

Geo services

Rules & Action

services

…

SAP Edge Services

SAP IoT

Edge

IoT & Edge Services

Business Technology Platform

SAP Analytics Cloud

SAP Cloud Platform

Cloud Applications:

SAP PdMS

AEN Dashboard

CLOUD-ZONE

EDGE-ZONE

Alleantia- HW Gateway Alleantia- HW Gateway Alleantia- HW Gateway

Machines Machines Machines


New asset onboarded and

connectivity established to send

sensor data

Automated enablement of

the digital twin and asset

onboarding

Sensors attached to asset collect data,

e.g. temperature, pressure, vibration,

current etc.

Manage time series data from sensors in big

data store and create data aggregates

IoT Use Case: Predictive Maintenance

Sensors and

Receptacles

SAP IoT

Compute asset health status based on

predictive models from data aggregates

Generate maintenance work order in

S/4HANA for assets with health status

indicating a maintenance need

Create asset model in

Asset Central and trigger

asset onboarding

SAP Predictive

Maintenance and

Service


Extension: Predictive Anomaly Detection and Improved equipment

performance

Manufacturing equipment monitored

during production process eg. Milling

machines

SAP Edge Services Streaming Service to

analyze, filter and aggregate ingested

sensor data at the edge in real time eg.

watchdog, median, avg, outliers

PdMS: Algorithms are applied to

ingested IoT data to determine quality

analysis and optimization of the

production line

SAP IoT operational dashboard

visualizing data from multiple

machines, plants and products.

EnterpriseEnterprise

Edge Location

Extract information such as

spindle acceleration, Machine

state eg. is metal being

consumed?

Scores coming from the PdMS analysis

are re-ingested into SAP IoT as

measures and rules are applied for

validation

Remote Products eg. Connected

turbines; send data to SAP IoT for

remote monitoring

1 2


Machine Health Status prediction

Cloud

Application

SAP Cloud Platform

SAP IoTThing Instance

Storage and Rules

Edge ServicesPlant

IoT Gateway X

1 2 3

Central management of edge instance with

Policy Service, persist and process data at

the edge for improved latency and reduced

traffic to the Cloud

Machine Model representation and data

normalization setting basis Digital Twin

Contextualization with master data.

Machine data persisted and processed (filtering and

aggregation)

Thing model created and maintained

PdMS Equipment model created and machines

onboarded (IoT sync)

PdMS Indicators created and predictive models applied to

obtain score

Scheduled Rules used to trigger Service integration

Routine jobs define which is actual divergence and if in/out

of accepted threshold

PdMS validated Indicators showing machine health status

Operational Dashboard

Calculation and Validation of predictive

insights. Custom Dashboard Creation


Core Capabilities:

• A 360 Degree View of Assets

• Advanced Analytics for Decision Support

• Intuitive and Scalable Machine Learning

• E2E Process Integration

SAP Predictive Maintenance and Service in Ansaldo


Machine Health Status prediction

Cloud

Application

SAP Cloud Platform

SAP IoTThing Instance

Storage and Rules

Edge ServicesPlant

IoT Gateway X

1 2 3

Central management of edge instance with

Policy Service, persist and process data at

the edge for improved latency and reduced

traffic to the Cloud

Machine Model representation and data

normalization setting basis Digital Twin

Contextualization with master data.

Machine data persisted and processed (filtering and

aggregation)

Thing model created and maintained

PdMS Equipment model created and machines

onboarded (IoT sync)

PdMS Indicators created and predictive models applied to

obtain score

Scheduled Rules used to trigger Service integration

Routine jobs define which is actual divergence and if in/out

of accepted threshold

PdMS validated Indicators showing machine health status

Operational Dashboard

Calculation and Validation of predictive

insights. Custom Dashboard Creation


Operational DashboardAs showcased at MECSPE 2019


Human Empowerment

• Business process reengineering

activities resulted in improved

visibility of related KPIs.

• Simplified process

management.

• User –friendly onboarding

procedure through the Unified

Control Center UI without

needing specific skills.

• Easier and more efficient

interventions/repairs for field

technicians.

IT

• Multiple ERPs combined into

one.

• Completely scalable cloud

architecture capable of handling

future volume increases of

existing services.

• Plant equipment telemetry and

alarm data collection.

Business Social

• Production process optimization

through MES & IoT data

integration.

• Premium support &

maintenance services offered to

customers.

• Improved plant equipment

performance.

• Early warnings, time-to-fault &

health indicators integrated with

external service order

management in the ERP (SAP

S/4HANA).

Benefits and Outcomes


Customer Success: The Benefits of Industrial IoT in challenging times

Oil & GasManufacturer Chemicals

Customer

ExampleIndex Werke Sika Zentis

Additional value

for similar

customers in

new business

reality with

Covid-19

Utilities Consumer Goods

Ansaldo Energia

.

Large US based Oil

& Gas company

Remote maintenance

and service with

minimal onsite visits

Real-time procurement

transparency despite

mobility restrictions

Reduction in physical

onsite observations

24/7 visibility in

material ”health status”

despite home office

work

improved worker safety

with reduction

of maintenance costs

Reduction in physical

onsite observations

Remote asset

/ product diagnostic &

monitoring despite


Real-time procurement

transparency despite


Remote and safe

monitoring of

production despite


Increased inventory

visibility despite


Improved worker

safety by reporting

safety related

incidents in real-

time

> > > >

Improved worker safety

by reducing physical

contact frequency and

duration

Real-time

inventory efficiency

and visibility despite

home office work





• Summary

• Appendix

Agenda


IoT in the Cloud and at the Edge is a key enabler for Industry 4.Now:

Intelligent Product, Intelligent Factory, Intelligent Asset, and Empowered People

SAP IoT offers embedded intelligence as part of business applications.

SAP IoT and Edge services enable customers to extend Industry4.Now

applications both in the cloud and at the edge

SAP Edge Services provides low latency execution of essential business

functionality at any location – even when offline.

SAP Edge Services turns the edge intelligent and orchestrates edge

topologies at scale from the cloud

Summary





• Summary

• Appendix

Agenda


Power generation leader Ansaldo Energia

S.p.A. manages complex projects around the

world. But suboptimal, siloed processes were

limiting operational visibility making project

planning and delivery more difficult. To address

these issues, the company is rolling out SAP

S/4HANA ® . At the same time, it is enabling

predictive asset service with SAP’s Business

Technology Platform resulting in a dual digital

transformation that will help Ansaldo streamline

manufacturing and improve its offering

→ Click anywhere for BTS

Ansaldo Energia: Powering Factories with Intelligent Technology to Improve

Product Performance

https://www.sap.com/about/customer-involvement/customer-stories/finder.html?sort=latest_desc&search=Ansaldo&pdf-asset=eafa1760-8e7d-0010-87a3-c30de2ffd8ff&page=1


Call to Action: Join our New Partner Training for SAP IoT and Edge

Coming Soon: Bootcamp for SAP IoT and Edge

Covers end-to-end real-life business scenario in “fast forward” mode

Date and Location

November 2020 (date of 1 day session will be announced shortly)

Classroom and Virtual Live Classroom | Recurring every two month

Agenda IoT

• Setup of device and thing model

• Onboard devices

• Create rules

• Set up actions

• Extend use case with sample

UI5 application

• Create analytical model for

consumption in SAP Analytics

Cloud

Agenda Edge

• Overview of Edge Services

• Scenarios and building blocks

• Configure streaming rules,

aggregations and business

actions

• Configure synchronization with

ERP

• Deploy configurations from cloud

to edge

• Configure, deploy and run a

machine learning model as user

defined function at the edge

Audience

• Application Consultant

• Business Process Architect

• Developer

• Developer Consultant

• Enterprise Architect

• Program / Project Manager

• Solution Architect

• System Architect

• Technology Consultant

Course based on

• Shared tenant for hands-on dev

Link

• Available via the SAP IoT &

Edge Learning Journey

https://help.sap.com/doc/fd2b9c6949de43938078489525288f13/PRO_2.0/en-US/317030086f83418a94dfe94173b46584.html?search=SAP%20IoT%20and%20Edge


SAP Industry 4.0 Strategy Whitepaper

• SAP Industry 4.0 Strategy

Partner Enablement Resources

• SAP PartnerEdge Build

• SAP Cloud Platform Learning Room

• Getting [email protected]

Marketplace & Discovery

• SAP App Center

• SAP Discovery Center

• SAP API Business Hub

• SAP Developer Center

• Use Cases for Internet of Things

• Live FAQ – IoT Community

IoT Product Enablement Resources

▪ SAP Partner Edge

• SAP IoT

• SAP Edge Services

▪ SAP Learning Hub

• SAP IoT and Edge Learning Room

• SAP IoT and Edge Learning Journey

▪ IoT Technical Resources

• IoT Cloud and Edge Roadmap

• Tutorials, Community, Videos

• Sample Code for Leonardo IoT

• Replenishment Sample Code

• What is new – Release Notes (IoT | Edge)

IoT Enablement and Support Resources for Partners

https://www.sap.com/documents/2019/12/7eb945d8-777d-0010-87a3-c30de2ffd8ff.html

https://www.sap.com/partner/become/partneredge-build.html

https://help.sap.com/viewer/p/CP

mailto:[email protected]

https://www.sapappcenter.com/en/

https://platformx-ad17b8dc3.dispatcher.hana.ondemand.com/protected/index.html#/search/iot

https://api.sap.com/

https://developers.sap.com/tutorial-navigator.html

https://innovation-guide.sap.com/?technologies=IoT

https://answers.sap.com/tags/73554900100800002247

https://partneredge.sap.com/en/products/leonardo/expand/leonardo_iot.html

https://partneredge.sap.com/en/products/ses/about.html

https://jam2.sapjam.com/groups/NKW9Fl1qQ3gX2kSxxO8E7l/overview_page/ZU5O9TpkRnCpmiLBsp6pTD

https://help.sap.com/doc/fd2b9c6949de43938078489525288f13/PRO_2.0/en-US/317030086f83418a94dfe94173b46584.html?search=SAP%20IoT%20and%20Edge

https://roadmaps.sap.com/board?CB=6EAE8B28C5D91ED8B4D12E361A9020D2&range=CURRENT-LAST

https://developers.sap.com/topics/leonardo-iot.html

https://github.com/search?q=org%3ASAP+iot&unscoped_q=iot

https://github.com/SAP-samples?utf8=%E2%9C%93&q=iot&type=&language=

https://help.sap.com/viewer/81d9f9ab5a3b430f83430c9f41aacb27/1905a/en-US

https://help.sap.com/viewer/81d9f9ab5a3b430f83430c9f41aacb27/1905a/en-US

https://help.sap.com/viewer/41b0d35a94d1403c8eaef4bb840ca85d/2002/en-US


SAP Cloud Platform Foundation

Logging | Authentication | Authorization | Destination | … SAP HANA | Cassandra | Managed Object Store | Redis | Kafka | Spark | …

Cloud Providers

IoT & Edge Services

Device & Edge

Orchestration

IoT Device

management

IoT connectivity

Time Series

Services

Rules & Action

ServicesCloud Provider

Integration

Geo

Services

Edge1

Business Context

Integration

SAP Edge Component Installed on

Edge Appliance

1

Business object

synchronization

On-Premise Applications

SAP S/4HANA SAP ECC …

SAP Predictive Asset InsightsSAP Digital Manufacturing Cloud

Cloud Applications

SAP S/4HANA SAP ECC … Analytics Cloud

Policy service

Bring your own model

Device model mapping

Master & Transactional

data

Business partner

Analytics integration

Time series data ingestion

Time series data management

Transformation & Derivation

Segment service

Rules on streaming data

Rules on persisted data

Actions

Geo location

Geo matching

Geo fencing

Storage integration2

Time series stream integration


applications

SAP Edge Services

SAP Plant Connectivity

…

Select warm and cold storage2

Service Overview - SAP IoT & Edge Services

Contact information:

Giorgio Murroni

Senior Product Manager SAP IoT and SAP Edge Services

Mob: +39 340 1007676

Thank you.

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