Evolving from SCADA to IoT

Evolving from SCADA to IoT

• Let’s define Semantics • IoT Objectives, chapters 1

and 2 • Separating the hype from

the reality • Why IoT isn’t easy • An IoT roadmap &

framework

IoT vs. SCADA?

The Path from SCADA to IoT

Traditional SCADA • Remote monitor • Supervisory control • Reporting • Alarms and Alerts • Increase autonomy,

decrease O&M costs

IoT expands the vision • Data aggregation • Predictive Analytics –

what’s going to happen • Prescriptive Analytics –

when, why, what to do • Data creates value in

multiple applications • Enabling new business

models

Customer’s Desire – Chapter 1 Asset & Resource Optimization

Increase Productivity

Smart Maintenance

Reduce Waste

Increase Efficiency

Reduce Downtime

Extend Equipment

Life

5

Efficiency

Productivity

Optimization

Predictable

Safety

Environment

Sustainability

Service

Customer’s desire – Chapter 2 Customer-centric business models

6

Usage based service models

Consumables as a service

IoT as a means to improve asset utilization is the beginning

IoT as a disruptive technology to create new, customer-centric business models will create the next generation market leaders

Temporary Power as a Service

Cisco’s view: 50B connected devices by 2020

IDC’s view: 212B Connected “Things” by 2020

Image source IBM, data source IDC

Harbor Research view: 8B Connected Devices by 2020

GE’s view: $276B savings potential over 15 years

What is slowing adoption It’s difficult…

11

• Market & Technology Fragmentation – Hardware, software, protocols…all different,

independent – Lack of integration…between devices, to enterprise

systems

• M2M/IoT Development Complexity

– Many different skills required – Hardware, Embedded, Software, IT, Telecom

• 85% of apps include existing, Legacy systems

IIoT Solutions - Complex Connectivity Stack

VALUE – collaboration of customers, integrators, service providers with business processes APPLICATIONS – reporting and analytics DATA STORAGE & ACCESS – DATA AGGREGATION, PROCESSING, TRANSFORMATION – gateway layer INTELLIGENT CONNECTIVITY – communication and processing units PHYSICAL DEVICES – “things” in the “Internet of Things”

LEVELS

6

5

4

3

2

1

With Disparate Requirements

LEVELS

6

5

4

3

2

1

OT Event based Data in motion (Near) real time

IT Query based Data at rest Not real time

IoT

Introduce Overlay

Networks

Adopt “IoT ready” protocols

Roadmap to the IoT

Nurture a Partner

ecosystem

Separate data producers from

consumers.

Transform data to information at the Edge of Networks

Enable “Consumers” with Semantic Data Models

• Data that requires contextual information is low value • App developers must be able to utilize information without

knowledge of how its produced • Intelligent edge devices that publish descriptive data allows

rapid application development with little or no knowledge of the producing device – Temp at Tank 14 located at latitude/longitude/elevation

is 27 degrees C°at 8:42 AM • Scalable, consumable descriptive formats are protocols like

JSON, XML, etc. • Imagine multiple business from the start!

Transform Data into Information

• Only a fraction of data collected is interesting • Data isn’t cheap, particularly at scale

– Data pipes – Storage – Transaction – Parsing – Energy

• Apply business logic at the edge of networks, close to the action, not at the top of the stack – Reduce total cost of ownership

• Intelligence at the edge of networks provides the agility to adapt to a rapidly changing environment

Protocols of IIoT – plenty to choose from

Think scale – protocol example

Traditional: Modbus – Client/server model – Servers (producers) must always be available – High network overhead – Every additional client (application), increases load on the

server and impacts system performance – Every client must have deep knowledge of the producer or

data is meaningless

Think scale – protocol example - IoT

• MQTT – a publish/subscribe (pub/sub) model – Endpoints are “publishers” – Consumers of data are “subscribers” – A “Broker” is an intermediary that distributes data from

publishers to all interested subscribers • This enables

– Endpoints to be sleepy, offline – No practical limit on number of apps that can consume data

from any publisher • MQTT is optimized for lightweight devices over wireless, but

there are a number of pub/sub protocols: XMPP, AMQP, STOMP and more

MQTT Publish/Subscribe Example

Broker

Subscribe “current_draw”

1. All three clients open TCP connections with the broker 2. Clients B and C subscribe to the topic “current draw”

Client

B Client

C

Client

A

Subscribe “current_draw”

1. Client A publishes a value of “83” amps for topic “current draw” 2. The broker forwards the message to all subscribed clients

Client

A

Client

B Client

C Broker

“current_draw” = “83”

Publish “current_draw” = “83”

“current_draw” = “83”

MQTT Publish/Subscribe Example

The Practical Application of Overlay Networks

• The IIoT opportunity is with existing assets and infrastructure • Reality is:

– Operations (OT) isn’t going to let you touch the automation layer

– IT isn’t crazy about you putting all this stuff on their enterprise networks

• “Overlay” networks provide speed, autonomy without disrupting existing processes

• Tools – Cellular backhaul – Wireless sensor networks

Overlay Network Diagram

Partner Ecosystems

• IIoT solutions are a mix of – Edge device connectivity – Network connectivity – Device management – Databases – Analytics – Vertical application expertise – Business system integration

• Even the giants are promoting concepts of ecosystem partners to enable solutions.

• Step into the IoT with a mindset of partnerships

A Framework for IoT architecture

things devices and sensors produce data intelligent edge devices add logic and semantic meaning to transform data into useful information gateways aggregate local information and apply business logic, localized decisioning network infrastructure transports information to databases where semantic, useful information can be accessed by multiple applications unbounded scalability, information consumers isolated from producers

The Industrial IoT Opportunity

Increase Productivity

Smart Maintenance

Reduce Waste

Increase Efficiency

Reduce Downtime

Extend Equipment

Life

26

Efficiency

Productivity

Optimization

Predictable

Safety

Environment

Sustainability

Service

Thank you!

Questions? Mike Fahrion mfahrion@bb-elec.com