TF12 - Introduction to Cloud Computing Concepts for Manufacturing

Copyright © 2015 Rockwell Automation, Inc. All Rights Reserved.Rockwell Automation TechED 2015 @ROKTechED #ROKTechED

PUBLIC INFORMATION

Introduction to Cloud Computing Concepts for Manufacturing


PUBLIC INFORMATION

Session Overview & Objectives1

IoT/Cloud Technology Fundamentals2

Demo4

RA IoT/Cloud Fundamentals3

QnA5


Transformative Value of IoT in ManufacturingSaaS Will Reduce the TCO of and Simplify Manufacturing I.T.

• OpEx vs. CapEx

• Predictable Costs

• Flexibility

Service

Finance

Operations• Minimize Manufacturing IT

• Product/Process Design

• Scalability

Engineering

• Asset & Operations Performance

• Consumables

• Multi-tenant Visibility for your Supply Chain

• Remote Service & Support

• <SME’s Supporting >Assets

• Predictive Maintenance

Extracting NewInsights

Scale Up/DownElasticity

‘0’ InfrastructureTo Support

TrustworthyExchange of Info

Business ModelFlexibility

Equipment Supplier

Microsoft Confidential – NDA Only March 5, 2015

The Internet of Things – Smart Manufacturing

GLOBAL

OPERATIONS

I can see my

production line

status and

recommend

adjustments to

better manage

operational cost.

I know when to

deploy the right

resources for

predictive

maintenance to

minimize equipment

failures and reduce

service cost.

I gain insight into

usage patterns from

multiple customers

and track equipment

deterioration,

enabling me to

reengineer products

for better

performance.

MANUFACTURING PLANT

Aggregate product data,

customer sentiment, and

other third-party

syndicated data to identify

and correct quality issues.

Manage equipment remotely, using

temperature limits and other settings

to conserve energy and reduce costs.

Monitor production flow in near-real

time to eliminate waste and

unnecessary work in process inventory.

GLOBAL FACILITY INSIGHT

Implement condition-

based maintenance

alerts to eliminate

machine down-time

and increase

throughput.

THIRD-PARTY LOGISTICS

Provide cross-channel visibility into

inventories to optimize supply and reduce

shared costs in the value chain.

CUSTOMER SITE

Transmits operational information to the

partner (e.g. OEM) and to field service

engineers for remote process

automation and optimization.

Management

R&D

Field Service

ExperienceThe Internet of Things isn’t new to Microsoft. We have a proven track record of helping customers realize the benefits of the Internet of Things for more than 15 years.

Devices & ServicesA wide portfolio of devices, services, and software offerings that customers need to take advantage of the Internet of Things.

EcosystemPartners with the solutions and expertise to accelerate deployment, deliver better results, and reduce customer risk.

Create the Internet of Your ThingsMicrosoft helps you drive business value while building on existing technology assets including devices, services, and data

$1.9TGartner estimates the total economic value-add from the Internet of Things across industries will reach US$1.9 trillion worldwide in 20201

$77BBy 2017, mobile apps will be downloaded more than 268 billion times, generating revenue of more than US$77 billion2

$1.6TDividend available to businesses that put new data types and analytics in the hands of more employees over the next four years3

~50%Agility accounts for 50 percent of the reasons for going to the cloud, versus 14 percent for cost savings4

Things + devices Applications Data Infrastructure

Gartner “Forecast: The Internet of Things,

Worldwide, 2013,” (G00259115), Peter Middleton,

Peter Kjeldsen, and Jim Tully, November 18, 2013

Gartner Report, “Predicts 2014: Apps, Personal Cloud

and Data Analytics Will Drive New Consumer

Interactions” Stephanie Baghdassarian, Brian Blau,

Jessica Ekholm. Sandy Shen, November 22, 2013.

IDC “Capturing the $1.6 Trillion Data Dividend,”

Dan Vesset, Henry D. Morris, John F. Gantz, May

2014

Gartner “Hype cycle for cloud computing, 2014”,

David Mitchell Smith, July 24, 2014

RA Cloud & IoT Platform

Built on Microsoft Azure for the

Connected Enterprise

Quincy

Cheyenne

Chicago

Des Moines

San Antonio

Boynton

Brazil

Dublin

Amsterdam

Shanghai

Hong Kong

Japan

Singapore

Australia

Global scale

Worldwide reach and hyperscale required to bring cloud economic benefits to every business

100+ datacenters

in more than 40 countries

1M+ servers

1B+customers use Microsoft

Cloud in 20 million

businesses from more

than 90 countries

cloud services

delivered all day,

every day

investment in building

Microsoft Cloud

infrastructure (USD)200+ $15B+

Security at the core

Extensible appdevelopment

• Support for Open Source

and .NET

• Interoperate with

existing applications

using Open Standards

• Process big data

on platform you choose

• Store, access, combine, and

analyze data on premises

to cloud, relational

and non-relational

All data, any size, anywhere

Flexibleinfrastructure

• Run Windows

and Linux

• Manage and

monitor your

heterogeneous IT

environment

Consistent experiences across devices

• Windows, iOS

and Android support

• Single sign-on

to more than 1,400

SaaS apps

Trusted, open, and flexibleDeep commitments to security, privacy, and interoperability

Privacy by design

Compliance and reliability commitments

Infrastructure protection

Azure infrastructure includes hardware, software, networks, administrative and

operations staff, policies and procedures, and the physical data centers that house it all

24 hour monitored

PHYSICAL SECURITY

Centralized

MONITORING AND ALERTS

Anti-Virus/Anti-Malware

PROTECTION

Red Teaming

PENETRATION TESTING

FIREWALLSUpdate

MANAGEMENT

11

Customer Data

14

When a customer utilizes Azure, they retain exclusive ownership of their data.

Control over

data locationCustomers choose data location and

replication options.

Role based

access controlTools support authorization based on a user’s role,

simplifying access control across defined groups of users.

Encryption key

managementCustomers have the flexibility to generate and manage

their own encryption keys.

Control

over data destructionDeletion of data on customer request and on contract

termination.

Field Gateway

Device

Connectivity & Management

Analytics &

Operationalized Insights

Presentation &

Business Connectivity

Devic

es

RTO

S, L

inu

x, W

ind

ow

s, A

nd

roid

, iO

S

Protocol Adaptation

Batch Analytics & Visualizations

Azure HDInsight, AzureML, Power BI,

Azure Data Factory

Hot Path Analytics

Azure Stream Analytics, Azure HDInsight Storm

Presentation &

Business Connectivity

App Service, Websites

Dynamics, BizTalk Services, Notification Hubs

Hot Path Business Logic

Service Fabric & Actor Framework

Cloud Gateway

Event Hubs&IoT Hub

Field Gateway

Protocol Adaptation

Azure Stream AnalyticsProcess real-time data in Azure using a simple SQL language

Consumes millions of real-time events from Event Hub collected from

devices, sensors, infrastructure, and applications

Performs time-sensitive analysis using SQL-like language against

multiple real-time streams and reference data

Outputs to persistent stores, dashboards or back to devices

Point of Service Devices

Self CheckoutStations

Kiosks

Smart Phones

Slates/Tablets

PCs/Laptops

Servers

Digital Signs

DiagnosticEquipmentRemote Medical

MonitorsLogic

Controllers

SpecializedDevicesThin

Clients

Handhelds

Security

POS Terminals

AutomationDevices

VendingMachines

Kinect

ATM

Azure Data Factory

Fully managed service to support orchestration of data movement

and processing

Connect to relational or non-relational data that is on-premises or

in the cloud

Single pane of glass to monitor and manage data processing

pipelines.

Publish to Power BI

Compose and orchestrate data services at scale

Microsoft Confidential – Under Strict NDA

C#

MapReduce

Hive

Pig

Stored Procedures

Azure Machine Learning

ML Algorithms are best of breed and embrace OSS

• MS + R + Python + BYOA

ML Studio for productive development

• Faster experiments results in faster improvements

• Visual Workflows & ML Experiments at Cloud Scale

ML Operationalization to remove deployment friction

• Build entire ML Apps & Deploy as Cloud APIs

ML Applications Marketplace

• Provide ML applications like apps in an ‘app store’

• Publish/consume APIs in a 2 sided market

Help organizations eliminate undifferentiated heavy lifting

Powerful predictive analytics in Azure

Microsoft Confidential – NDA Only March 5, 2015

The Cloud Driving the Connected Enterprise

GLOBAL

OPERATIONS

I can see my

production line

status and

recommend

adjustments to

better manage

operational cost.

I know when to

deploy the right

resources for

predictive

maintenance to

minimize equipment

failures and reduce

service cost.

I gain insight into

usage patterns from

multiple customers

and track equipment

deterioration,

enabling me to

reengineer products

for better

performance.

MANUFACTURING PLANT

Aggregate product data,

customer sentiment, and

other third-party

syndicated data to identify

and correct quality issues.

Manage equipment remotely, using

temperature limits and other settings

to conserve energy and reduce costs.

Monitor production flow in near-real

time to eliminate waste and

unnecessary work in process inventory.

GLOBAL FACILITY INSIGHT

Implement condition-

based maintenance

alerts to eliminate

machine down-time

and increase

throughput.

THIRD-PARTY LOGISTICS

Provide cross-channel visibility into

inventories to optimize supply and reduce

shared costs in the value chain.

CUSTOMER SITE

Transmits operational information to the

partner (e.g. OEM) and to field service

engineers for remote process

automation and optimization.

Management

R&D

Field Service


Managing & Improving your Manufacturing AssetsMoving from traditional software deployment to Software as a Service

Site 2 Site n

Asset PerformanceManagement

Equipment & ProcessBehavior & Optimization

Digital Oil Field

RA Cloud Platform

Security

Object Model

Data Storage

Event Detection & Notification

Workflow

Dashboards, Reports & Analytics

Site 1

Predictive AnalyticsEquipment & Process

CharacterizationModel Development

Predictive Maintenance

Traceability/SerializationRegulatory compliance

Product adulteration controlSupply Chain Traceability

IoTGatewaySecure,

efficient data transfer

❸

❶

❷


IoT Gateway - M2C* Secure, Encrypted Data TransferScalable software service tested on multiple hardware platforms

Variety of Hardware Form Factors

Support Multiple Networks & Protocols

LAN, Wireless, Cell, Satellite, etc.

GPS Support

Intelligent Device & Data Management

Gateway’s securely managed via Cloud Platform

Store & Forward, Aggregation, etc.

Data thinning/compression

* Machine-to-Cloud


Cloud Application PlatformData Model, Objects, Types, Tags, Events, Workflows, Security, Roles, Users

Model for the application

Security associated with unified model

Common set of (web) services

Application services operating against the model

Time Series Services and history storage

Calculation

Scripting

Business Logic – Event Mgmt & Notification

Common UI (property grids, namespace explorer…)

Common clients (Admin, Trend, Excel Integration…)

Cross-platform Thin UI

Workflow execution

28

System AdminPower User/OwnerUser/Client


Cross-Platform VisualizationPC, Tablet or Phone - Dashboarding, (Ad Hoc) Reporting, (Predictive) Analytics

29


Cross-Platform Visualization

30

select report propertiesbrowse model hierarchy view current valuesview history trends

Device-Sensitive Client / UI - Mobile Ad-hoc Reporting Application


B

A

Supplier 1

OEM A

Support Org

Customer 1

RA Support

Utilities

CorporateHeadquarters

OEM BOEM C

Supplier 2

Prod/ProcDesigners

Customer 2Customer 3

Quality Org

C

New Capabilities, New Business Models, New ValueSimple, Secure Access for ALL Sanctioned Stakeholders

RA Cloud Platform

IoTGatewaySecure, efficient

data transfer


Demo


SV05 New Strategies to Monitor, Optimize

& Support your Machines -leveraging the Cloud

Maximizing the productivity of your equipment and keeping

track of your assets in real time has been an elusive goal for

most. We’ll be presenting a case study of how several

machine builders are leveraging Cloud technology – and the

Internet of Things – to differentiate their offering, and to

partner much more closely with their customers to improve the performance of their machines

Related Sessions to Attend

www.rockwellautomationteched.com

Copyright © 2015 Rockwell Automation, Inc. All Rights Reserved.

PUBLIC INFORMATION

Rockwell Automation TechED 2015 @ROKTechED #ROKTechED

Thank you!