instrumenting the planet for intelligence from blue sky to business impact
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Instrumenting the Planet for Intelligence From Blue Sky to Business Impact. Kris Pister Prof. EECS, UC Berkeley Co-Director, Berkeley Sensor & Actuator Center Founder & CTO, Dust Networks. Outline. The Past What Went Wrong Technology Status Applications Technology Directions. Goals. - PowerPoint PPT PresentationTRANSCRIPT
Instrumenting the Planet for Intelligence
From Blue Sky to Business Impact
Kris Pister
Prof. EECS, UC Berkeley
Co-Director, Berkeley Sensor & Actuator Center
Founder & CTO, Dust Networks
Outline
• The Past
• What Went Wrong
• Technology Status
• Applications
• Technology Directions
Goals
• Smart Dust, 1997--2002– 1 mm3
• Low power
• Wireless Sensor Networks, 2002--2007– Reliability: >99.9% with latency bound– Power: 5-10 years on batteries for all motes– Security: strongest link?
• WSN, 2007--– Standards: WiHART, IETF, IEEE– Applications
Autonomous Microsensor Networks with Optical Communication Links
• PI: Kris Pister
• Source: Hughes (MICRO)
• Funding: $25k, $10k matching, 0% ovhd,
• Duration: 1 year
• Comments: Collaboration w/ Prof. Joe Kahn under separate MICRO
UC Berkeley, 1997
COTS DustGOAL:
• Get our feet wet
RESULT:
• Cheap, easy, off-the-shelf RF systems
• Fantastic interest in cheap, easy, RF:– Industry
– Berkeley Wireless Research Center
– Center for the Built Environment (IUCRC)
– PC Enabled Toys (Intel)
• Fantastic RF problems
• Optical proof of concept
UC Berkeley, 2000
Berkeley Demos – 2001
Intel Developers Forum, live demo800 motes, 8 level dynamic network,
Seismic testing demo: real-time data acquisition, $200 vs. $5,000 per node
vs.
50 temperature sensors for HVAC deployed in 3 hours. $100 vs. $800 per node.
Motes dropped from UAV, detect vehicles, log and report direction and velocity
~2 mm^2 ASIC
Mote on a Chip? (circa 2001)
• Goals:– Standard CMOS– Low power– Minmal external components
uP SRAM
RadioADC
Temp
Ampinductor
crystal
battery
antenna
UCB Hardware Results ~2003
• 2 chips fabbed in 0.25um CMOS– “Mote on a chip” worked, TX only
– 900 MHz transceiver worked
• Records set for low power CMOS– ADC, Mike Scott, M.S.
• 8 bits, 100kS/s
• 2uA@1V
– Microprocessor, Brett Warneke, PhD.• 8 bits, 1MIP
• 10uA@1V
– 900 MHz radio – Al Molnar M.S.• 100kbps, “bits in, bits out”
• 20 m indoors
• 0.4mA @ 3V
Cost of Sensor Networks
Time
$
Computing Power
Sensors
Installation, Connection and Commissioning
Mesh Networking
Source: InStat/MDR 11/2003 (Wireless); Wireless Data Research Group 2003; InStat/MDR 7/2004 (Handsets)
0
100
200
300
400
500
600
700
800
2003 2004 2005 2006 2007
Un
its
(M
illio
ns
)
Wi-Fi nodesHandsetsWireless Sensor Nodes
Sensor Networks Take Off!
$8.1B market for Wireless Sensor Networks in 2007
Industry Analysts Take Off!
Low Data Rate WPAN Applications
RESIDENTIAL/LIGHT
COMMERCIAL CONTROL
CONSUMER ELECTRONICS
TVVCRDVD/CDremote
securityHVAClighting controlaccess controllawn & garden irrigation
PC & PERIPHERALS
BUILDING AUTOMATION
securityHVAC
AMRlighting controlaccess control
mousekeyboardjoystick
PERSONAL HEALTH CARE
patient monitoring
fitness monitoring
INDUSTRIALCONTROL
asset mgtprocess control
environmentalenergy mgt
Zigbee 2004Zigbee 2006Zigbee Pro
Barriers to Adoption
0% 20% 40% 60% 80% 100%
Reliability
Standards
Ease of Use
Power consumption
Development cycles
Node sizeOnWorld, 2005
Dust Networks
• Founded July 2002
• Focused on reliability, power consumption
• Developed TSMP– Time Synchronized Mesh Protocol– >99.9% reliability– Lowest power per delivered packet
How it Works: CSMA
How it Works: TSMP
Frequency Hopping: CSMA
Frequency Hopping: TSMP
Scalability: CSMA
Scalability: TSMP
50 motes, 7 hops3 floors, 150,000sf
>100,000 packets/day
Oil Refinery – Double Coker Unit
• Scope limited to Coker facility and support units spanning over 1200ft
• No repeaters were needed to ensure connectivity
• Electrical/Mechanical contractor installed per wired practices
• >5 year life on C-cell
400m
Barriers to Adoption
0% 20% 40% 60% 80% 100%
Reliability
Standards
Ease of Use
Power consumption
Development cycles
Node sizeOnWorld, 2005
>99.9%
Wireless HART, SP100
“It just worked”
5-10 years
Complete networks
“Dust Inside” Industrial Products
Smart Wireless Announced Dust Customers
End Users• Oil & Gas• Power• Food• Pharma• Chemical• Steel
Industrial Automation
• Examples– Oil & gas production,
pipelines, refineries
– Paper mills
– Chemical processing
• Companies– Emerson
– ABB
– Endress & Hauser
– Siemens
Emerson “Smart Wireless” starter kit,shipping since Oct 2006
The De-facto Standard
Emerson
Siemens
Pepperl+Fuchs
ABB
Endress+Hauser
Honeywell
MACTek
PhoenixContact
Smar
Yokogawa
Siemens
Elpro
12 Manufacturers,1 Network – Dust Networks’ TSMP
Shell Facility
2 km1 km
• Motor condition (vibration) monitoring
• 200-400 temperature and vibration sensors
• No line power due to hazardous location rules
• Wiring in sensors would cause a 2 week delay in “first gas”
Dust-enabled Network
Statoil
• North Sea Platform
• 22 pressure sensors
• 2 hour installation vs. 2 days
"Unscheduled downtime is the largest single factor eroding plant performance. Over $20 Billion, or almost 5 percent of total production, is lost each year in North America alone due to unscheduled downtime."
ARC, 2002
Ubiquitous monitoring of motors, pumps, and bearings:
VibrationTemperatureAcoustic
Predictive Maintenance
“Electric motors consume approximately 60% of all electricity generated in the United States.“
US DoE, December 2002
Rail Monitoring: Croda
• Application: Temperature monitoring of chemical in moving railcars
• Rate-of-rise temperature monitoring critical for safety and plant performance– Railcars continuously move, making hard wired
measurement impractical– Employees had to climb on top of railcars for measurement;
dangerous in winter• Smart Wireless solutions give early detection of potentially hazardous
rising temperature rise of chemical and eliminate manual readings– Railcar position had no effect on self-organizing network performance;
line of site not required– Safety improvement by eliminating operator trips to the top of the railcars– Early detection means early neutralization procedures, improved plant
safety
“There are savings of $14,600 per year in reduced operations andmaintenance costs, but, the incalculable savings were in safety”
—Denny Fetters, I&E Designer
Real-time monitoring of parking for:Increased enforcementDynamic pricingReal-time vacancy location services
Parking Monitoring – Streetline Networks
Wireless sensor node
Building Energy Reduction - Federspiel Controls
HVAC System Retrofits
Demonstrated Energy Savings:
• 3.7 kWh/sf/yr
• 0.34 therms/sf/yr
• Higher savings than conventional retrofits
Building Maintenance
•Temperature & energy consumption monitoring•2 hour install vs. 4 weeks for wired network
97% reduction in installation cost
• Rapid retrofit of old buildings
• Energy conservation from modernizing systems
• Platform for additional in-building applications
Pharmaceutical Validation and Monitoring
Validation and monitoring of critical pharmaceutical processes– Ensure Regulatory Compliance
– Highly Reliable, Secure Data Transmission
– Easy to Install and Use
Energy Management
•Energy is the #1 cost of supermarkets after shelf stock•Service: monitor, analyze and reduce power consumption
• Entire network installed in 3 hours (vs. 3-4 days)
• Typical energy cost reduction: 10-25%
Monitoring for perimeter violations:Ground vibration (footfalls or vehicles)Metal (vehicles)SoundMotion
Images, data traces, and tracks reported over network
Perimeter Security
End User Customer Testimonials
“…easier to installand maintain, with vastly superior scalability, but it is also much more cost-effective than previous approaches. Return on investment (ROI) is “considerably less than a year” for the wireless permanent monitoring systems.” said Chip Bennettt, KV Pharma
Commented Cliff Esmiol, maintenance supervisor for Milford Power. “Especially important was the easy, flexible self-organizing network that could be installed and operational in a very short time.”
“When Emerson first approached me with their industrial wireless solution, they said ‘We’re plug and play,’ said Tim Gerami, senior design engineer at PPG. I have to admit I laughed; nothing I’d seen so far was that easy. “But I’m a believer now. Five minutes after installing it, the wireless network came to life. It’s been there ever since.”
According to Gary Borham, operations manager at Wheeling-Pittsburgh Steel, “We are building an infrastructure that opens up opportunities for more and more applications. Wireless transmitters are being installed farther and farther away from the gateway without a loss of signal quality. The result is better information from difficult-to-reach areas of the mill, and this is helping our personnel prevent unscheduled downtime, meet customers’ quality requirements, and optimize productivity.”
Evolution of a mote
Next Innovation: Localization
• Use radios to calculate the relative position to each other
• Transmit that information periodically, or on demand
Two Way Time Transfer (TWTT) TOF
• Measure round trip time
• Choose time at B to be fixed
A B
A sends @ t1 B receives @ t2
A receives @ t4 B sends @ t3
t3 – t2 = fixed known time twait
TOF = ½ (t4 – t1 – twait)
RF Time of Flight Ranging
0 2 4 6 8 10 12 14 16 180
10
20
30
40
50
60
70
Distance (m)
Tim
e of
Flig
ht (n
s)
1 m Error
2 m Error
Ideal
Measured Data
Steven Lanzisera
Takeaway: ~1m position accuracy indoors
Measurement on 1
802.15.4 channel
Coal mine results
Localization applications• Industrial
– Where is valve 27 anyway?– Bob is lying down in tank 5– Everyone is present at the muster point
• Hospital/Medical– Where’s the defibrillator?– Dr. Grungy didn’t wash his hands between patients– Syringe LED red until near the right patient– Billing for services by the minute!
• Home/Consumer– Where are my car keys?– Why is my TV leaving the house?– Map of friends location at the mall– Location-based services for cell, ipods, …
The Next Wave…
• IP-based consumer & enterprise standards currently being developed within IETF
• Robust, wire-free IP addressable sensor networks enables the ‘internet of things’
Time (Years Out)
#/S
ca
le o
f C
on
ne
cte
d
De
vic
es
1 32L
H
M
Next WaveFirst Wave of Adopters …..
Power
Transport
Retail
Healthcare
Consumer/Home
Industrial
Source: Harbor Research
Buildings
Discussion
• 10 years later, a real market emerges– Industrial Automation– Driven by reliable, secure, low power networks
• Future– If you could now the status and location of every
asset in real time, how would that change your business?