The document discusses enabling a smart factory with AWS Industrial IoT Reference Solution. It covers why smart factories are useful by utilizing untapped data for business insights. The document then discusses industrial communication protocols and manufacturing networking. It presents the AWS industrial IoT reference architecture and shows a hands-on workshop that will be conducted to set up a simulated manufacturing network on AWS with PLC simulation and data collection in IoT.

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Enable Your Smart Factory with
the AWS Industrial IoT Reference
Solution
Steve Blackwell
Senior Consultant – Automotive &
Manufacturing
AWS/Professional Services
M F G 3 0 3
Bart Schouwenaars-Harms
Industrial Solutions Builders
Manager
AWS/Solution Builders

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Agenda
Why a smart factory
Industrial communication protocols
Manufacturing networking
Reference architecture
Hands-on workshop

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What you will need for the Hands-On
• An AWS Account with Administrator Permissions
• A Laptop
• Small amount of knowledge about Node.js

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Related sessions
Wednesday, Nov 28th
MFG307—Industrial Intelligence: Generate Insights from Historian Data
16:00 – 17:00 | Aria West, Level 3, Starvine 3, Table 3
Thursday, Nov 29th
MFG301—Optimize Smart Factories Using Data Lakes and ML on AWS
13:45 – 14:45 | MGM, Level 1, Grand Ballroom 122
Tuesday, Nov 27th
IOT307-R1—How Fender is Automating Its Manufacturing
Operations with AWS
19:00 – 20:00 | Venetian, Level 3, San Polo 3405

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Why have a Smart Factory?
Untapped Data
Business Insight

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Industry 4.0
1st 2nd 3rd 4th

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Operations (OT)Enterprise (IT)
Manufacturing environment
IT systems
CRM
Asset management
ERP
Supply chain
Finance
Maintenance
Compliance
SCADA,
DCS, etc.
Various protocols

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ISA-95 in the context of the AWS Cloud
Level 1
Level 2
Line/machine
control
Animation
direct control
Level 3
Level 4
Description
Line/machine
supervision
Manufacturing
Operations
Management
Business
planning &
logistics
MES/
Historian
ERP/PLP/SCM
App/SystemFunction
Line/cell
execution
Business
operations
SCADA/HMI
Supervisory
control
DCS/PLC/RTU
Level 0
Physical
values
Raw data
event signals
I/O Sensor
AWS
Services
Enterprise
apps in the
cloud
Data
ingestion &
analytics
AWS
Greengrass
IoT Device
FreeRTOS

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Industrial communication protocols

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Communication requirements
- Throughput
- Scheduled
- Low downtime
- Hostile environments
- Scalable

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Fieldbus examples
Non-ethernet Ethernet
• Modbus RTU/ASCII
• Profibus
• DeviceNet (CIP)
• ControlNet (CIP)
• IO-link
• AS-i
• Modbus/TCP
• Profinet
• Ethernet/IP (CIP)
• CC-Link
• PowerLink
• EtherCAT

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Supervisory examples
Ethernet
• Modbus/TCP
• S7-Comm
• Ethernet/IP
• PCCC
• SLMP
• OPC-UA/OPC-DA

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Industrial communication protocols

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Industrial communication protocols

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Industrial communication protocols

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Industrial communication protocols

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Industrial communication protocols

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Industrial communication protocols
AWS
Greengrass

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Industrial communication protocols
AWS
Greengrass

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Industrial communication protocols
AWS
Greengrass

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Cisco & Rockwell CPwE architecture

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Manufacturing networking 101
Internet
Enterprise
network
Manufacturing
network
VLAN
VLAN
VLAN
VLAN
MES/Historian Enterprise apps
Shop floor

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Shop Floor to AWS Cloud Connectivity
Internet
Enterprise
DMZ
Industrial
Greengrass
VPC
VPN Connection Direct Connect
Machine Tool / PLC

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Manufacturing networking—IoT connectivity
Internet
Enterprise
network
Manufacturing
network
VLAN
VLAN
VLAN
VLAN
MES/Historian Enterprise apps
Shop floor
AWS IoT
AWS Greengrass

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AWS industrial IoT reference architecture
Amazon
SNS
AWS Greengrass
IoT rule (all data)
Amazon S3
Data Lake
Kinesis Data
Firehose
Protocol
conversion
Email
AWS
SMS
Industrial equipment
Industrial equipment
Amazon
Glacier
Kinesis Data
AnalyticsProtocol
conversion
ML
inference
AWS IoT/AWS Greengrass/
AWS IoT Device Management/
AWS Device Defender
Amazon
SageMaker
ML models
Amazon QuickSight
Amazon Kinesis
Streams
Kinesis Data
Firehose
IoT anomaly
data repository
Amazon
Athena
Amazon
Athena
IoTrule(alerts)
Realtimeand
historicalvisualization
CloudWatch
Amazon Cognito
CloudTrail
AWS Config
IoT Cert
IAM
AWS IoT Analytics

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AWS manufacturing reference architecture (Brownfield)
AWS
Greengrass
Amazon S3
Data Lake
Kinesis Data
Firehose
MES
Factory machines
Protocol
conversion
ML
inference
AWS IoT
Amazon SageMaker
Machine Learning
Amazon QuickSight
Data visualization/reporting
Amazon
Athena
Historian
Storage
gateway
Amazon EMR
Amazon
EBS
Amazon
EC2
AWS
Batch
Amazon
AppStream
Amazon
EBS
Amazon
EC2
HPC workloads
Enterprise workloads (SAP)
AWS
DMS
Amazon
RDS
Local servers
Amazon Redshift
Data warehouse
Dataingestion
API Gateway
interfaces
N:1
Plant
manager
Quality
manager
H&S officer
Production
planner
Plant
maintenance
Production
manager
Engineer
OSI PI connector
AWS Snowball Edge
Data migration

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Activities
Here is what we will be doing:
I. Setup a Simulated Manufacturing Network
II. Install and Configure Greengrass
III. Install Node Red on Greengrass
IV. Run the PLC Simulator
V. View the data in IoT

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Workshop Architecture
Node Red
Lambda
function
VPC
Subnet
Windows EC2
PLC
EC2 Instance

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Workshop Details
Windows PLC Credentials
Username: Administrator
Password: re:Invent
https://github.com/stevbla/reInvent_smart_factory

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37. Thank you!
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Steve Blackwell (stevbla@amazon.com)
https://www.linkedin.com/in/smblackwell/
Bart Schouwenaars-Harms (sbart@amazon.co.uk)

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