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Transcript
1
March 18, 2014





The Internet Evolution
Goals of the IoT
What makes IoT different
Complexities of the new model
Breakdown of an IoT solution
3
First we connected
Computers
Then we
connected People
What’s left? Lots
of “Things”
4
5

IDC says,
 212 billion things by 2020
 $4.8 trillion in 2012, $8.9 trillion in 2020

GE says,
 Industry savings (waste/productivity) of $150 billion/year
 Add $15 trillion to the global GDP by 2030

Cisco says,
 25 billion connected devices by 2015, 50 billion by 2020
 $14.4 trillion in “value at stake” (up for grabs) in the next 10 years
6
“Internet of Everything”
“Industrial Internet”
“Internet 4.0”
“Smarter Planet”
Gartner hype cycle, 2014
gartner.com
7
Smart
Maintenance
Operational Efficiency
Improved Productivity
Safety improvements
Extend
Equipment
Life
Reduce
Waste
Increase
Productivity
Cost reduction
Environmental
sustainability
Improved Service
Availability
Supply & Process
Optimization
Reduce
Unplanned
Downtime
Increase
Efficiency
8
9
Axeda, 2013
10
We’ve networked computers
We’ve networked people
? What’s the big deal about “things”
11

A human-centric model
 People originate most content
 People originate most information requests
Multitude of client platforms – Macs/PC’s, tablets, phones, readers…
Servers are heavy computing platforms
Many applications: Web, mail, file-xfer
A large family of standardized protocols suited to the applications –
HTTP, SMTP, DHCP, SSH, SNMP….
 All built on a standardized, IP based networking infrastructure





A machine driven model, no human intervention
 A “thing” autonomously generates content (data)
 A “thing” autonomously requests content

“Things” are the servers – sensors and devices publishing data
 “Things” can be any physical device or asset
 “Things” don’t have an RJ45 jack
 “Things” often have minimal computing capabilities, without access to
electrical power



“SCADA” Supervisory Control and Data
Acquisition
An industrial specialty for decades for the
remote monitoring of systems
SCADA is a silo of automation, not an
internet of connected devices and shared
information – limiting its value and scalability
14
What are the challenges of implementing IoT
Solutions?
15
 Market & Technology Fragmentation
▪ Hardware, software, protocols... all different, independent
▪ Lack of integration…between devices, to enterprise systems
 M2M Development Complexity
▪ Many different skills required...
▪ Hardware, Embedded, Software, IT, Telecom
▪ No common architectural guidelines
▪ Security risks
 Vendor Lock-In
▪
Proprietary SDKs, protocols
▪
Device specific, application specific
16
Applications
& Services
Device
Management
CONCLUSION
Multiple disciplines, technologies,
vendors combine to create a highfriction development environment
that is not easy to navigate
Database
&
Analytics
Gateway
Connectivity
Device
Sensor
17
Intelligent Irrigation
Current State
 Irrigated agriculture accounts
for over 85% water
consumption in the US
 System efficiencies as low as
30-40%
 Herbicide/pesticide
contamination caused by
excessive watering





Desired State
Water called for only as
required
Current weather conditions
and forecast are factored
Availability and demand
levels placed on the water
supply are factored
Automatic leak detection &
alerts
Mechanical failures are
predicted in advance,
eliminating unplanned
downtime
18
Sensors
Sensor Nodes
Flow rate
•
•
•
•
•
•
Monitor Soil Conditions: Soil temp and moisture
sensors
Monitor Environmental Conditions: Solar, temp,
humidity and wind sensors
Monitor Supply Capacity: Level, pressure, flow
sensors
Leak Detection: Moisture and flow sensors
Fault Prognostics: Current, temperature and vibration
sensors monitor pumps & motors
Sensor Nodes digitize sensor data and sends it to the
Gateway over wired or wireless connections
Pressure
Current
Voltage
Vibration
Temperature
19
Device
Device Connectivity
Existing systems include devices with data ports that can
be integrated into the solution
•
•
•
Water meters
Electric meters
Programmable Logic Controller (PLC)
Specialized converters and device servers convert and
connect these data streams to the intelligent gateway or
IP network
Database
&
Analytics
Typically a mix of physical and protocol layers
20
Gateway
Intelligent Gateways
The Gateway performs
three critical
functions
Intelligent
Gateways
1.
2.
3.
Collects and aggregates data from local sensors and devices
as well as external data feeds
Multiple disciplines, technologies,
Applies a set of user defined rules to that data
vendors
combine
to create
high-friction
1. IF
soil is dry AND
weatheraconditions
are favorable
AND
we
have
supply
available
AND
its
development environment that is not not about
to rain THEN turn on the pumps
easy2.to navigate
IF pumps are failing OR water is leaking THEN
send an alarm condition to the service team. IF
the service team doesn’t take corrective action in
time THEN reduce function of the system
Provides backhaul data connectivity to one or more
applications
1. Business Systems – accounting, billing
2. Maintenance Systems
3. Regulatory/Compliance Systems
Applications
Flow rate
Pressure
Gateway
Current
Voltage
Vibration
Temperature
Wireless Sensor Network
Devices
21
Connectivity
Connectivity
Primary or failover backhaul connections are often cellular. This
generates its own challenges
• Provisioning – the gateway attached to a carrier
• SIM card, M2M data plan
• From the carrier themselves, or
• MVNO – virtual network operator
• Data connectivity
• May need a VPN tunnel from remote router to target
network
Wireless
Network
Internet
Database
&
Analytics
Cellular Data
Gateway
22
Device
Management
Device Management
Connectivity
IoT Solutions are machine-centric, not people-centric
They can involve very large quantities of devices
They’re often remote
Maintenance, upgrades diagnostics, data
management must all be remotely managed
Gateway
23
Database,
Analytics,
Applications
Database, Analytics, Applications
•
•
•
Integrate Data into automated billing systems
New applications for smart maintenance programs
Automated reporting for environmental regulations
•
Private Enterprise Server/ ERP Integration
• Oracle, SAP, etc
Emerging Players, Hosted Application Environments
• Thingworx, Xively, SeeControl
•
24
Adding new devices and applications creates
new security risks
 We’ve already seen examples of IoT hacks
 Technology, protocols and practices exist but
require
 Considerable risk

25



IoT will change the profile of network traffic
Shifting from a human-centric internet to
“thing” centric internet impacts system
design and expectations of reliability
The value gains of optimized use of assets
and resources has profound potential
26
27
System
Integrators
OEM/Machine
Builders
Technical VARs
Application
Service Providers
29
• B&B is agnostic to which platforms and services our customer prefer. We partner with and support a broad ecosystem of partners without
bias. We don’t compete with our customers.
• We co-sell with our partners, bringing revenue to them and helping them close their opportunities by providing a complete hardware
solution.
• We match the technology capabilities and business models of our partners to our customer’s objectives.
CONNECTIVITY PARTNERS
DEVICE MANAGEMENT PLATFORMS
APPLICATION PLATFORMS
30
Contact Information
Corporate Headquarters
707 Dayton Road, PO Box 1040
Ottawa, IL 61350
European Headquarters
Westlink Commerical Park,
Oranmore, Co. Galway, Ireland
Phone: 1-800-346-3119
Fax: 815-433-5109
Phone: +353 91 792444
Fax: +353 91 792445
Customer Service: [email protected]
Tech Support: [email protected]
General Inquiries: [email protected]
Customer Service: [email protected]
Tech Support: [email protected]
General Inquiries: [email protected]
32