More Related Content Similar to Implementare e gestire soluzioni per l'Internet of Things (IoT) in modo rapido, sicuro e scalabile (20) More from Amazon Web Services (20) Implementare e gestire soluzioni per l'Internet of Things (IoT) in modo rapido, sicuro e scalabile1. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Michele Alessandrini
Sr. Solutions Architect, Amazon Web Services
Fabio Fantauzzi
Accenture
AWS IoT e Industry 4.0: casi d'uso di
successo
2. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
What we’ve seen this past year
Internet
of
Things
Serverless
Artificial
Intelligence
3. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Why are customers building IoT
solutions?
Revenue Growth
IoT data drives business growth Operational Efficiency
IoT data improves OpEx efficiency
New services &
business models
Products that get
better with time
Better relationship
with customers
Increased
efficiency
Intelligent
decision making
Data driven
discipline
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In what categories are customers?
IoT customers
Consumer Commercial Industrial
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IoT solutions are complex and multidimensional
Connecting,
communicating,
securing
Devices &
sensors
Infrastructure
providers,
building blocks
Connectivity &
infrastructure
Incisive,
actionable,
predictive
Analytics
& insights
Engage,
empower,
delight
Applications
& services
Business
transformation,
cultural change
Change
management
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Devices
and sensors
• GPS, RPM, speed, tire pressure, …
• CANbus, ODB2, J1939, …
Connectivity
and infrastructure
• Telco (2G>5G, NB-IoT,…)
• Satellite
Connected transport
Key dimensions
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Devices
and sensors
• Video Streaming, Voltage, Amperage,
temperature, Smoke, …
• BACnet, Modbus,…
Connectivity
and infrastructure
• Ethernet
• WiFi, ZigBee, Z-Wave, …
Connected spaces
Key dimensions
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IoT use-case categories
Connected Home
Connected
Buildings
Connected Cities
Connected
Spaces
Connected Vehicle
Connected Fleet
Connected Transit
Connected Insurance
Connected Freight
Connected
Transport
Connected
Manufacturing
Connected Asset Mgmt
Connected Worker
Connected Agriculture
Connected Energy
Generation
Connected
Operations
Remote Patient Monitor
Wellness & Prevention
Connected Pharma
Intelligent Health
Connected
Health
IoT Payment &
Data Security
Connected Contextual
Commerce
Connected
Commerce
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What are the Three pillars of IoT?
Things
Sense & Act
Cloud
Storage & Compute
Intelligence
Insights & Logic → Action
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What are the Three pillars of IoT?
Cloud
Storage & Compute
Intelligence
Insights & Logic → Action
Devices
Sense & Act
AWS IoT
Core
AWS
Greengrass
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AWS IoT
1-Click
What are the Three pillars of IoT?
Cloud
Storage & Compute
Intelligence
Insights & Logic → Action
Devices
Sense & Act
AWS IoT
Core
AWS
Greengrass AWS IoT
Analytics
Amazon
FreeRTOS
AWS IoT
1-Click
AWS IoT Device
Management
AWS IoT
Device
Defender
AWS IoT
1-Click
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Using Personas as a Map
Operations
Analyst
Fleet
Manager
Device
Engineer
Security
Engineer
Cloud
Developer
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Who is the Device Engineer?
Primary Goal
Write, test, and fix code that will live in
physical devices, specifically microcontrollers
and gateways.
• Embedded programming
• Hardware
• Security
Skills
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Amazon FreeRTOS
Amazon
FreeRTOS
Secure
Updateability
Security
libraries
Local/Cloud Connectivity
libraries
Based on
FreeRTOS Kernel
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Architecture
Amazon
FreeRTOS
Microcontroller
Amazon
FreeRTOS
Microcontroller
AWS
Greengrass
Gateway
AWS IoT
Core
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Who is the Fleet Manager?
Primary Goal
Keep all devices updated and running smoothly,
while minimizing the risk of bricking entire groups
of devices and damaging our brand.
• Cloud Programming
• Scripting
Skills
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AWS IoT Device Management
AWS IoT Device
ManagementReal-time fleet index
& search
Fine grained job manager
(Over the air updates, device
monitoring & logging)
Batch fleet provisioning
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Architecture
Amazon
FreeRTOS
Microcontroller
Amazon
FreeRTOS
Microcontroller
AWS
Greengrass
Gateway
AWS IoT
Core
AWS IoT
Device
Management
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Who is the Operations Analyst?
Primary Goal
Produce reports and dashboards for my leadership
team that contain visualization. Run ad-hoc
analyses to get quick answers to hard questions.
• Manipulate Business Analytics tools and
visualize data
• Use scientific & statistical computing
tools, SQL queries, and scripts for
complex, ad-hoc analyses.
Skills
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AWS IoT Analytics
Visualization and
analysis
AWS IoT
Analytics
Data filtering, pre-
processing and
enrichment
Fully managed storage
(raw and structured)
IoT data collection from
multiple sources
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Architecture
Amazon
FreeRTOS
Microcontroller
Amazon
FreeRTOS
Microcontroller
AWS
Greengrass
Gateway
AWS IoT
Core
AWS IoT
Analytics
AWS IoT
Device
Management
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Who is the Security Engineer?
Primary Goal
Manages security mechanism end to end
starting at the hardware level up to business
application users.
• AWS Services (IAM + IoT policies)
• Security libraries
• Security tools
Skills
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AWS Device Defender
AWS IoT Device
Defender
Mitigate by taking
actions
Identify anomalies
Generate alerts
Monitor device behaviors
and configurations
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Who is the Cloud Developer?
Primary Goal
Creates IoT applications that can be
accessed through web/mobile. Offers high
value services on top of IoT systems.
• Frontend programming
• Backend programming
• Serverless
Skills
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AWS IoT 1-Click
AWS IoT
1-Click
Create applications
using AWS Lambda
Securely connects to
the Cloud
Fleet identification
and reporting
Ready out-of-the-box
hardware
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IoT services on AWS - Better together
Serverless Artificial
Intelligence
Internet
of
Things
AWS
Lambda
Amazon
Kinesis
Amazon
Athena
Amazon
QuickSight
Amazon Lex Amazon
Polly
Amazon
Rekognition
Amazon
Machine Learning
Amazon
Cognito
AWS
Device Farm
Amazon API
Gateway
Amazon
Pinpoint
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Predictive Maintenance in Wartsila
Fabio Fantauzzi
Accenture
28. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Client company profile
Wärtsilä is a global leader in smart technologies and complete lifecycle solutions for the marine and energy markets. By
emphasising sustainable innovation, total efficiency and data analytics, Wärtsilä maximises the environmental and
economic performance of the vessels and power plants of its customers. In 2017, Wärtsilä’s net sales totalled EUR 4.9
billion with approximately 18,000 employees. The company has operations in over 200 locations in more than 80 countries
around the world. Wärtsilä is listed on Nasdaq Helsinki.
Wärtsilä Marine Solutions enhances
the business of its marine and oil & gas
industry customers by providing
innovative products and integrated
solutions that are safe, environmentally
sustainable, efficient, flexible, and
economically sound.
Client Business
Wärtsilä Energy Solutions is a leading global
energy system integrator offering a broad range of
environmentally sound solutions. Our offering
includes ultra-flexible internal combustion engine
based power plants, utility-scale solar PV power
plants, energy storage & integration solutions, as well
as LNG terminals and distribution systems
Wärtsilä Services provides high-quality
lifecycle services that enhance
customers’ business. Its broad range of
services supports both shipping and
power generation companies, whenever
and wherever needed.
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Value Proposition of the Use Case
Value Proposition is to predict engine running hours & future service needs
from AIS and engines data. The expected benefits / role are listed below.
Wärtsilä Account Manager Wärtsilä Product Sales Wärtsilä Customer
Identify opportunities for
Service Sales at the right
time.
Maximixe scope of services
and spare part sales
1
2
Focus on right opportunities
Reduce manual work in
estimating service schedules
& free up time for more value
adding sales activities
3
4
5
6
Relevant insights at
the right time from
Wärtsilä
Ease of doing
business with Wärtsilä
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Business Value
BUSINESS VALUE BUSINESS IMPACTS CAPABILITIES BUSINESS METRICS
• Significantly improve as well as
fully automate service need
estimate for every vessel in
scope by Wärtsilä Service Sales
• Enable Wärtsilä Service Sales
Management to fine tune rules
on when to raise opportunities
and define the priorities and
scoring for the opportunities
based on multiple parameters
• Opportunities Created Earlier to
Pipeline ()
• Average value of Service Offers
()
Ability to Contact
customer with right offer
at right time
Maximize the portfolio of
Wärtsilä Services in
Offers
INCREASE
SERVICE &
SPARE PART
SALES BY X%
• Amount of Qualified Service
Opportunities for Overhauls ()
Free up Product Sales
time by reducing manual
estimation effort
Value Hypothesis:
With providing right offers at right times, the opportunity win % will improve and
customers will be more satisfied with the service provided by Wärtsilä.
Improve customer
experience by providing
them with relevant offers
at right time
• Improve win % ()
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Technical Architecture
Enterprise TierPlatform TierEdge Tier
Devices
IoT
Gateway
Orchestration
Pre-Processing
Event Processing
Orchestration
APIs
Input Streams
Output
Connecti
ons
Orchestrations
Event Pipes
Data Pipes
Profiles
x
AIS Data
Provider
AWS
LambdaA
W
S
IoT
Co
re
Amazon
DynamoDB Amazon
Machine
Learning
Amazon
S3
Amazon
DynamoDB
AWS
Lambda
AWS
Lambda
x
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Test Results observed
Measure Iteration 1 Iteration 2 Iteration 3
# Involved Engines 125 137 150
Avg error diff (hrs) 4.22 3.42 2,78
Std Deviation 3.03 3.03 3,06
Min Error 0.27 0.09 0,01
<25 % of errors (hrs) 2.06 0,06 0,96
<50 % of errors (hrs) 3.21 2.45 1,7
<75 % of errors (hrs) 5.05 4.06 3,75
• In around 12 engines there were some manual errors in recording of measurements (highlighted in the picture)
• Mean Error can be further reduced by:
• More effecting processing of existing data.
• Adding more data sources to the model
Error Distribution
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Next Steps
Enterprise TierPlatform TierEdge Tier
Devices
IoT
Gateway
Orchestration
Pre-Processing
Event Processing
Orchestration
APIs
Input Streams
Output
Connecti
ons
Orchestrations
Event Pipes
Data Pipes
Profiles
x
AIS Data
Provider
AWS
LambdaA
W
S
IoT
Co
re
Amazon
DynamoDB Amazon
Sage
Maker
Amazon
S3
Amazon
DynamoDB
AWS
Lambda
AWS
Lambda
x
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Thank you!