SUMMIT - Amazon Web Services Mark… · SUMMIT © 2019, Amazon Web Services, Inc. or its...

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Transcript of SUMMIT - Amazon Web Services Mark… · SUMMIT © 2019, Amazon Web Services, Inc. or its...

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SUMMITBERLIN

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IoT in Food Processing

Stefan FrehseSenior Software ArchitectNordischer Maschinenbau Rud. Baader GmbH & Co.

SessionID

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Agenda

Scope: What is BAADER doing?

Digital Transformation in the Context of Animal Welfare

AWS IoT Greengrass & A Brownfield Poultry Factory

Learnings

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BAADER in Brief

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BAADER in practice

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Digitalization / Executive Department

• New kind of dev-teams withvarious skills. Establising newprinciples.

• Independent ofR&D to fullyrethink newbusiness

• Common Vision & Goals

• Connect processeshorizontally

Think

horizontallyThink Big

Software Teams

Independent

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Digital Opportunities

OPPORTUNITIES OF FUTURE VALUE ADD

CURRENT VALUE CREATION

OPPORTUNITIES OF FUTURE VALUE ADD

Machine information: speed, energy

consumption, runtime

Product Data: Size, Weight, Quality

Business Process Data: Supplier, Order, Customer, Shipment

Information chain

OPPORTUNITIES OF FUTURE VALUE ADD OPPORTUNITIES OF FUTUR VAUE ADD

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Capturing data from farm to fork

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Big Data for Animal Welfare

25 January 2019

Traceability Transparency

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Collecting data along the food value chain

Weather

recordProcessing

record

Packaging

record

Retailers

record

Data-driven company

Transport

recordFarm

record

End user

recordAuditors

record

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General Architectural Overview

On-Premise

Food Processing Factory

AWS Cloud

AWS Region

On-Premise

Food Processing Factory

MQTT

protocol

MQTT

protocol

Weather API

Transport

Data

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The Edge: Food Processing Factory

On-Premise

OPC UA

SubnetSubnet / Industry Network

OPC UA

Adaptor

subscribes

GPS Position

Provider

GPS Position

Fetcher

AWS Cloud

Local alert Lights

Alerting Rules

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The Edge: Food Processing Factory

On-Premise

OPC UA

SubnetSubnet / Industry Network

OPC UA

Adaptor

subscribes

GPS Position

Provider

GPS Position

Fetcher

AWS Cloud

Local alert Lights

Alerting Rules

Lifting a brownfield factory with AWS

for new business cases.

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Cloud – Platform

MQTT

protocol

AWS Cloud

AWS Region

Emergency Analysis

VPC with Running Kubernetes Cluster

VPC

Managed Kafka Cluster by Confluent Cloud

Peering

Subnet Subnet Subnet

Auto Scaling group

Truck Tracing

Data lake

Data Lake

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Why Cloud?

Is morethan „just“

virtualmachines

Time-to-market

•Culture •Human

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New Business: Processing with Context

Ask thecustomer

ETA ofTrucks

Prototyping

Initial presentation

AWS Cloud

Google

Distance API

Single GPS

Position

ETA to

the factory

Rules

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Learnings

• Digitalization is not about technical solutions

• Cloud to establish a new kind of culture

• Being a part of a huge ecosystem and community

• Things went unexpectedly good and some not

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Q&A

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Thank you!

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Stefan [email protected]@sfrehse

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Efficiency (Full-day)

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Outcome: Efficiency (Full-day)

• Raising alert once efficiency drops unexpectedly

• Long term: Optimize performance -> machine configuration

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AWS IoT Core

• Gateway for our Things

• Security by default:• Single Identity per device

• Clocks need to be up-to-date

• Policy should contain only what the use-case definitely required

• Certificate per device (in our case: IoT-Gateway)

• Gateways are preinstalled on-site before shipping to the factory

• Scales well if you consider best practice• Wildcard subscripts while using wildcards to the highest cardinality topic (discussed in

various talks by AWS)

• Huge regional infrastructure coverage as our customer (low-latency)

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Potential Use-Cases

• Efficiency computation

• Storing data for longer term (rather than just two weeks)

• Alerting

• Transparency

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Payload: Ampere

{

"thingId":"8db2544b-feba-4926-bd8c-ab09f732fdcc",

"thingType":"baader::dt::machine::ampere",

"thingVersion":"0",

"timestamp":1541428624241000,

"value": {

"nodeId":"ns=4;s=MachineA_PowerL1A",

"value":17

}

}

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The Edge: Vision systems

• Camera takes 2-4 pictures of each chicken

• Images are analyzed in real-time at the edge

• Quality and potential defects are provided

• Sorting based on the quality for downstreamingsteps (cutup, whole bird, …)

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Subscribing OPC UA Data

• AWS Lambda locally subscribes OPC UA nodes and push them forward to AWS IoT Core

• Topic schema: • factory1/opcua/cutup/power_machineA

• factory1/opcua/evisceration/power_machine

• factory1/vision/cutup/quality

• factory1/transport/truckId1/gps

• factory1/transport/truckId2/gps

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Payload: Chicken Quality

{

"thingId":"308bf582-4822-4fd2-a822-3b753296369d",

"thingType":"baader::dt::classifeye::quality",

"thingVersion":"0",

"timestamp":1548872447234000”,

"value": {

“productId”: 145,

“quality”: 0

}

}

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IoT On Sea: Getting Data from Fish Trawlers

• BAADER machines are able to directly operate on trawlers

• Data from the machines are very valuable for many use-cases as well• Very harsh environments

• Not always available internet connection or even very expensive

• Off-shore several weeks: Buffering data critical

"Dieses Foto" von Unbekannter Autor ist lizenziert gemäß CC

BY-SA

Satelite

AWS Cloud

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Subscribing data from OPC-UA

• Machine to Machine (M2M) protocol becoming more and more popular

• Becomes standard in particular by digitalization projects

• Server-Client Architecture

• Stores nodes (snapshots) that represents a particular sensor, data set, etc. …

• Subscribing to nodes for each change

• Interconnects various parts in a factory

• Forward each value into AWS IoT Core