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

Implementation of Industrial IoT to Deliver Value

Keith Nosbusch

Copyright © 2015 Rockwell Automation, Inc. All Rights Reserved. 2

Leading global provider of industrial power, control and information solutions

at A GLANCE

AUTOMATION SOLUTIONS for a broad range

of industries

80+ COUNTRIES

22,500 EMPLOYEES

$6.3B

Innovation

Domain expertise

Culture of integrity & corporate responsibility

SERVING

CUSTOMERS FOR

112 YRS

FISCAL 2015 SALES

Copyright © 2015 Rockwell Automation, Inc. All Rights Reserved. 3

MANUFACTURING – THEN Man and Machine

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MANUFACTURING – NOW Virtual (IT) and Physical (OT)

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Supply Chain

Headquarters

Distribution Center

Smart Grid

Customers

Production

Field-Based Assets

Optimized for Rapid Value Creation

THE CONNECTED ENTERPRISE

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Transactional data: orders, supply network, product design …

OT

IT

CONVERGENCE

MATERIAL & TRANSPORT

CONTROLLERS SENSORS, ACTUATORS

LABELERS & PRINTERS

MACHINES & EQUIPMENT

FINANCIALS HR LOGISTICS QUALITY CUSTOMERS ERP

Real-time data: CONTROL, SAFETY, SECURITY + alarms, events, states, energy, diagnostics, …

…

…

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Smart Manufacturing Leadership Coalition

Industrie 4.0

China Manufacturing 2025

Manufacturing Innovation 3.0

Usine du Futur

INDUSTRY CONSORTIA

$

Faster Time to Market

Improved Asset Utilization

Enterprise Risk Management

TH

E C

ON

NE

CT

ED

EN

TE

RP

RIS

E D

EL

IVE

RS

Lower Total Cost of Ownership

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INDUSTRIAL Smart Assets • Machine to machine coordination high speed

• Mission critical safety, security

• Integrated control and information self-aware + system aware

• Less time critical

• Human centric

• Stand alone self-aware

CONSUMER Smart Assets

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Mobility & Visualization

Scalable Computing (Control, Edge, Cloud)

Multi-discipline Control & Information

Secure Network Infrastructure

Information Management & Analytics

Smart Assets

Industrial IoT Technologies Enhance The Connected Enterprise

SMART ASSETS ARE SELF-AWARE & SYSTEM AWARE

“Things”

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Implementing Industrial IoT Systems

IoT Reference Model*

Industrial IoT Technologies

*Rob Soderbury, Cisco, 2014 IoT World Forum

7. Collaboration &

Processes

6. Application

5. Data Abstraction

4. Data Accumulation

3. Edge Computing

2. Connectivity

1. Physical Devices

& Controllers

Mobility & Visualization

Scalable Computing (Control, Edge, Cloud)

Multi-discipline Control & Information

Secure Network Infrastructure

Information Management & Analytics

Smart Assets

“Things”

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Smart. Productive. Secure.

CO

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INF

O. M

GM

T.

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A High Performance Architecture Built Upon Contemporary Technologies

is Needed For Industrial IoT Systems

TRUSTED REFERENCE ARCHITECTURE

SELF-AWARE, SYSTEM-AWARE SMART ASSETS

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Most Advanced Track & Trace System in

all of China for Baby Formula.

Productivity Increase 3% Labor

Costs 7%

- China Food Drug Administration (CFDA)

Reduced production prep/dispatch time

Speeds up delivery, auto-fill BOM

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OT Infrastructure as a Service (IaaS) A subscription for plant network, virtual server instance and 24x7x365 infrastructure monitoring

Virtually Eliminating Network & Server Issues

Reduction in Troubleshooting Time 90%

24x7 Proactive Support led to

Offsite Advanced Technologies

Support

ELIMINATED

100% OF CAPEX

with Redundant Expandable Architecture and a Fully Managed Support Contract

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DATE: 11/17/15 9:30AM

STATUS: RUNNING

SMART ASSET: TANK

BATCH: A32468050-02

TEMPERATURE: 90º

FLOW: 32 psi FLOW: 28 psi

Business Value Example: Real-time Analytics

Analyze Contextualize Take Action

Part #: FlowMeter 243-0c ordered for Tank XRT485Z

Replace Flow Meter Thursday, 9:30am

Divert Mixer to Tank BRT491C for Batch 04 – 09

Real-time Analytics result in Real-Time Actions

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Real-time Analytics Implementation

IoT Reference Model Industrial IoT Applications

Smart Assets in the Field

Plant-wide Smart Assets

7. Collaboration &

Processes

6. Application

5. Data Abstraction

4. Data Accumulation

3. Edge Computing

2. Connectivity

1. Physical Devices

& Controllers

ON PREMISE

IN-CLOUD

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The Connected Enterprise in Action:

CONNECTED PRODUCTION

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Monitor > Analyze / Predict > Optimize

Pump Fillage Optimization IMPROVES Well Production

PREDICTING Failure Modes Minimizes Unscheduled Downtime

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SURFACE

DOWNHOLE

DOWNHOLE CARD MODEL

PUMP CONDITIONS

PREDICTION

Real-time Analytics: Prediction of Potential Failures

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EXTENDED WELL LIFE

INCREASED ENERGY SAVINGS

IMPROVED SYSTEM RELIABILITY

INTEGRATED CONTROL

SIMPLIFIED START-UP

Networked Oil Wells Provide Insight Into Field Operations With Real-time Data

ELECTRIC SUBMERSIBLE PUMP

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“We’re making more educated decisions based on real-time and

historical operations data that we can access anywhere. We’ve been

able to significantly improve company profitability as a result.” - Brian Sloan, Engineering Manager

99.5% AVAILABILITY

Business Decisions Based On REAL-TIME & HISTORIAL DATA

$2.3 M Saved in Maintenance and Downtime

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Industrial Technology Refresh Cycles

Security and Data Privacy

Reference Architecture & Standards

Legacy System Connectivity

Competency Gaps

INDUSTRIAL IoT

CHALLENGES

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World-Class Partners and Ecosystem Are ESSENTIAL for Industrial IoT

COMMON SECURE NETWORK INFRASTRUCTURE

OT

IT

...

...

Secure cellular, satellite connectivity Cloud, mobility solutions

Process instrumentation Physical network infrastructure solutions

CNCs, Robotics

Secure network infrastructure

100+ partners for automation solutions

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that delivers transformational value in productivity, sustainability

and global competitiveness

Faster Time to Market

Improved Asset Utilization

$ Lower Total Cost

of Ownership Enterprise Risk Management

INDUSTRIAL IoT Enhances THE CONNECTED ENTERPRISE

I n n o v a t i o n

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