Leveraging Edge Computing - attendmia.com · Edge Computing w/ IIoT Cloud Platform Field level Connectivity to automation pp pp Edge Runtime Distribution of •Apps •App updates

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Leveraging Edge Computing

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With Internet Of Things And Big Data, 92% Of

Everything We Do Will Be In The Cloud

14.1 ZB cloud data estimated in 2020Source: Cisco 2017; Forbes 2016

Where is all that data


Typical IIoT Cloud Platform for Industry

Field level

Vibration

analysis

app

Automation system

Cloud

Edge

mgt.Management of apps

Cloud

Factory level

Exchange of data to

IT/cloud systems

OEE

Apps


Typical IIoT Cloud Platform

Limitations

Field level

Vibration

analysis

app

Automation system

Cloud

Edge


Cloud

Factory level

Exchange of data to

IT/cloud systems

OEE

Apps

• Bandwidth

• Realtime Compute


Driver for Edge Computing in IndustryHow Important are the following industrial Data Analytics applications for your

company in the next 1-3 years?

Source:

Industrial Analytics 2016 / 2017 —

The current state of data analytics usage

in industrial companies

Edge Computing


Edge Computing w/ IIoT Cloud Platform

Field level

Connectivity to

automation

Edge a

pp

Edge a

pp

Edge

Runtime

Distribution of

• Apps

• App updates

• Security patches

Vibration analysis app

Access to app

on edge device

Automation system

3

46

Cloud

Edge


and connected edge

devices

CloudEdge

app

Creation of edge apps

Edge App

Store

1

1

2

Factory level

Exchange of edge data to

IT/cloud systems5

SINUMERIK Edge


Sinumerik Edge Installation Hardware and Connectivity

Internet Connection

(Mindsphere)

LAN access for AMW, REST API


Sinumerik Edge Installation

HF Probe

90%

Schematic: Processing power budget and prioritization

Cyclic Tasks Program ProcessingCommu-

nication

Internal

tasks

HMI-OA (1)

HMI-OA (2)

…

BTSS

NCDDE

CAP

• High frequency data, ~100 variables

• Highly prioritized

• Efficient, continuous & reliable data flow

• Intelligent data pre-processing

Edge-Exclusive Internal Data Interface ‘Probe’

Traditional access to controller data

• Several/ many HMIs/ UIs in parallel

• Redundant data access, lack of coordination

• Only asynchronous, non-deterministic data

Buffer

HF

Pro

be


Industrial Edge

Programming Edge Apps


Industrial Edge

Programming Edge Apps

Se

rvic

e

AP

Is

Linux container

Edge AppController API

Devic

e

AP

Is

Data APIs:

• Stream (up to

near time, no real

time)

• Event

• Request

Based on

semantic domain

models

UI API

Persistence API

Analytics API

APIs to support development in

(planned in order of priority):

• Python

• JavaScript

• Java

• Node.Js

• C++

• … and many more to come

Illustrative Edge App APIs

1 1 1 1

1 1 1 1 1 1 1

1 1 0 1 1 1

1 1 1 1 1

1 1 1 1 1 1 1

1 1 1 1 1 1

1 1 1 1 1 1 1

0 1 1 1 1 0

1 1 1 1 1 1 1

1 1 1 0

1 0 1 1 1 1 0

Data scope

App containerization

Focus on data in the order of

priority:

1. non deterministic data transfer

2. synchronized data with time stamp

delivered in near time

3. synchronized data wit time stamp

delivered in defined time

4. real time synchronized data in real time


Make it Real!

App DevelopmentWhat can I do?


Higher machine availability

• Recognizing mechanical condition

of a machine – machine availability

improvement & product quality

improvement

• Add-on functionality of a CNC

Machine – also for brown field

• Specialized mechatronic tests to

produce data allowing to diagnose

different machine conditions or

defects proposing setting

corrections or repairs

• CPU intensive calculation

performed on the Edge

Predictive Maintenance

Analyze MyMachine /Condition

Analysis of machine mechanical condition based on analysis of

data produced through specialized mechatronic tests

Axis reversal Friction Backslash

an

d o

the

rs…


Workpiece Quality

Analyze MyWorkpiece /Monitor

Continuousquality monitoringof part productionon-the-fly fromSINUMERIK Edge datastreams

Good workpiece

Misplaced workpiece

Workpiece with scratches

Workpiece with slots


Setup Verification

Analyze MyWorkpiece /Vison

• Preventing machine damages and faulty

workpieces – machine availability

• Add-on functionality of a CNC Machine –

also for brown field

• Machine awareness – detection of incorrect

or displaced (e.g., rotated) workpieces in a

machine before machining started

• CPU intensive calculation performed on the

SINUMERIK Edge

Workpiece displacement

Technology: image analytics & deep neural

networks – Artificial Intelligence

Automated recognition

of displaced

workpieces based on

images

Siemens Industrial

Edge


What is Edge Computing?

Edge Computing combines both local and cloud computing

Local computing

Device Installed once –

never or seldom updated

• Data transferred per USB stick

or local network

Workstation Workstation

MachineMachine

Cloud computing

App installation & deployment on-demand

• Central data and global intelligence

• Quick updates in the cloud

• Low frequency data/high latency

of decisions

• Cloud dependency

MachineMachine

Clients

Cloud

Device and

Computing

Edge computing

App installation & deployment on-demand

• Local data and global data (if wanted)

• Shift from global to local intelligence

• Quick software update cycles

for edge devices

• High volume data and low

latency decisions

Machine and

Edge Device

Machine and

Edge Device

Clients

Cloud

- Device

- App Management

Edge

- Data

- Computing

Edge

- Data

- Computing


Siemens Industrial Edge - Example Application

Increasing flexibility of plant with continuous functional updates

New functionality

Automation system: Lifecycle >15Y

Controller

Plant lifecycle classic

Plant operation

Commissioning

Plant operation

Introduction of new functions

not possible or only with difficulty

Plant lifecycle with Siemens Industrial Edge

Operation Operation

New system visualization

Preventive maintenanceCommissioning

Automation system: Lifecycle >15Y

Continuous updates

& new functionality

Controller Edge device

Enhancement

of automation

Past FuturePast

High effort


Siemens Industrial Edge

Concept Overview

1

1 Edge Management

Central infrastructure to manage Edge

devices

Edge Devices

Secure, future-proof basis for running

Industrial Edge applications

2

2

3

3 Edge Apps

Applications for intelligent data use


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MindSphere and Siemens Industrial Edge

The open ecosystem for industry specific solutions

01110110

01110110

1101

1010

0010

1001

011101110101

011101110101

Automation level

Edge Apps

Data analytics and connectivity apps

by Siemens, Partners and 3rd parties

Edge Devices

Seamless integration of Edge Computing

into domain specific automation

Cloud level

Edge Management

Central management for all industrial Edge

devices with access to open app ecosystem

011101011011011011001110111111010010011100100001100001

SIMATIC EdgeEdge applications and devices

for general automation

solutions

SINUMERIK EdgeDomain specific

Edge applications

for machine tools

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011101110101

011101110101

011101110101


Automation

Process control, highly encapsulated,

Ensures high machine availability

Siemens Industrial Edge expands industrial automation

with new data processing capabilities to integrate IT

Factory/Cloud Level

Edge Computing

• Increased flexibility and openness for automation

• Local processing and high frequency data

Enhancement of automation with Edge

Connectivity tasks

Local data pre-processing

Data and Device security

Openness

Intelligence in field such as AI

Fast Innovation cycles


Edge Management

• Edge App Store

• Edge Apps Management

• Edge Device Management

Edge Apps

• Data processing and

connectivity applications

• Apps provided by Siemens,

Partners and own developed

Edge Devices

• Infrastructure to execute

Edge apps

• Remote updating of apps

• Integrated security and connectivity

Siemens Industrial Edge –

Vision – Totally Integrated Automation enhanced with Edge

Factory/

Cloud

Level

Automation

Level

Totally Integrated Automation

Ind

ustr

ial

Ed

ge

A on Cloud

B On-Premise

Edge

App-

Store

Controller Human Machine

Interfaces (HMI)

Industrial PCs

(IPC)

Industrial

Communication

Motion

Control

CNC

Edge Edge Edge Edge EdgeEdge

Edge Computing

Applications


SIMATIC Edge –

Apps

SIMATIC

Notifier

Other AppsConnectivity Apps

SIMATIC

S7

OPC UA

MQTT

MindSphere

Easily program own Edge Apps based on high level programming languages (C, C++, Java, Python, …)

SIMATIC

Automation

Tool Basic

SIMATIC

Inventory

View

Data visualization

Apps

Data processing /

analytics Apps

SIMATIC

Easy Data

Extractor

0010

SIMATIC

Visual Flow

Creator


SIMATIC Edge App

Easy data extractor – A foundation for I4.0

Easy data

extraction for

external usage

Extract and store

SIMATIC S7-1200 & 1500

diagnosis buffer and

time series data


SIMATIC Edge App

Notifier – Mobile Alarming on smart devicesS

ho

p F

loo

r

If a > 50 °C

Alert

Motor A too

hot

If b < 5 °C Warning

Risk of frost

AlertMotor A too hot

Alarm threshhold

configuration

Accept

Alert

Receive individual notifications

on smart device

Data collectionWeb access

12

43

Edge Device

Notifier

Edge App


Siemens Industrial Edge for automation –

Managed environment with access to a digital ecosystem

App and Device Management – Benefits

Check device status-

and diagnosis information

Deploy Security Patches

– Worldwide

Access and buy Edge Apps

via Store

Edge Management

EdgeTotally

integrated

automation

MindApps Edge Apps

Remote control and

diagnose Edge Apps

Rollout Applications and Updates

– Worldwide

App-Store

Edge Edge


Siemens Industrial Edge for machines and plants –

Edge Management System

Industrial Edge

Management

Centrally manage & update

fleets of Edge Devices

For more efficient software

rollouts, versioning and

up-to-date security


Siemens Industrial Edge for machines and plants –

Advantages at a glance

New business model

Additional realization of

new business models as

unique selling point to set

us apart from the competition

e.g. Guarantee of machine

availability

Long-term security

Always at the cutting edge –

Updating device functions

– worldwide

Implementation of

new functionality

Open platform enables

new types of data analysis

in automation, e.g.

Predictive maintenance

Data privacy

Your data remains on

the automation level

Maximum flexibility

Easiest way to adapt

software to new

circumstances


www.siemens.com/industrial-edge

Subject to changes and errors. The information given in this document only contains general descriptions and/or performance features which may

not always specifically reflect those described, or which may undergo modification in the course of further development of the products. The requested

performance features are binding only when they are expressly agreed upon in the concluded contract.

All product designations, product names, etc. may contain trademarks or other rights of Siemens AG, its affiliated companies or third parties.

Their unauthorized use may infringe the rights of the respective owner.

Siemens Industrial Edge

More information online…


Thank you!

Roger Hart

Siemens Industry Inc., Motion Control, MTS

Head of Research & Development

E-mail: [email protected]

Ramey Miller

Siemens Industry Inc., Factory Automation

Edge Product Manager

E-mail: [email protected]

mailto:[email protected]

mailto:[email protected]

Documents

Leveraging Edge Computing - attendmia.com · Edge Computing w/ IIoT Cloud Platform Field level Connectivity to automation pp pp Edge Runtime Distribution of •Apps •App updates