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eBusiness Technology Task 1 Kickoff. Michael I. Shamos, Ph.D., J.D. Director, eBusiness Technology MSIT Carnegie Mellon University. Outline. Ubiquitous Computing Internet of Things (IoT) IoT Technologies Sensors Radio Frequency ID (RFID) Healthcare applications. Ubiquitous Computing.
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eBusiness TechnologyTask 1 Kickoff Michael I. Shamos, Ph.D., J.D. Director, eBusiness Technology MSIT Carnegie Mellon University
Outline • Ubiquitous Computing • Internet of Things (IoT) • IoT Technologies • Sensors • Radio Frequency ID (RFID) • Healthcare applications
Ubiquitous Computing • Ubiquitous (from Latin ubique, meaning “everywhere”) • Ubiquitous computing = computing everywhere • All around the environment, not just on a desktop or laptop • Typically implemented by wireless devices
Industry 4.0:The Fourth Industrial Revolution SOURCE: SIEMENS AG
Cyber-Physical System (CPS) SOURCE: JAIST
SensorsandActuators SOURCE: HARBOR RESEARCH
Sensors Google glass Camera sensor May be battery powered or derive energy wirelessly May use wireless or wired communications May be active or passive May push information or be polled for information (“pull model” SOURCE: CISCO
Wireless Sensors • Ultra-Compact • Temperature & Humidity • Barometric Pressure • Ambient Light • Uses • Building monitoring • Precision agriculture • Forest fire detection • Animal tracking SOURCE: BOB HEILE
Sensors FITBIT
Industry 4.0 SOURCE: CAPGEMINI
Industry 4.0 Smart Factory CPPS = CYBER-PHYSICAL PRODUCTION SYSTEM M2M = MACHINE-TO-MACHINE SOURCE: CAPGEMINI
Industry 4.0 Smart Factory SOURCE: ROLAND BERGER STRATEGY CONSULTANTS
Industry 4.0 Supply Chain END USER RAW MATERIAL SUPPLIER CUSTOMER MANUFACTURER LOGISTICS LOGISTICS LOGISTICS SUPPLY CHAIN: SOURCE: CAPGEMINI
Some Industry 4.0 Technologies End-to-end (E2E) process management New digitalbusiness models Smart, autonomous assets 3D printing & virtualization Human interaction Big data Digital workflows and platforms Logistics systems across the networked industry SOURCE: PROF. DR. ANDRÉ LUDWIG
Soon Everything Will Be Smart SOURCE: PROF. DR. ANDRÉ LUDWIG
Smart Objects • A small, usually low cost, computer that may contain: • A sensor that can measure physical data (e.g., temperature, vibration, pollution) • An actuator to control a physical device (e.g., change traffic lights, rotate a mirror) • A communication device to receive instructions, send data or possibly route information • This device is embedded into an objects (to make it smart) • For example, thermometers, car engines, meters SOURCE: CISCO
Smart Object Constraints • Smart objects are highly constrained in: • Physical size • CPU power • Memory (few tens of kilobytes) • Bandwidth (Maximum of 250 KB/s, usually lower) • Power consumption is critical • If battery powered then energy efficiency is paramount • Batteries might have to last for years • Wireless capabilities based on Low Power & Lossy Network (LLN) technology SOURCE: CISCO
Low Power Lossy Networks (LLNs) • Large number of highly constrained devices (smart objects) interconnected by mostly wireless links of unpredictable quality • LLNs are used in many different applications: • Industrial Monitoring, Building Automation, Connected Home, Healthcare, Environmental Monitoring, Urban Sensor Networks, Energy Management, Asset Tracking, Refrigeration World’s smallest web server SOURCE: CISCO
Connected Devices Projection (Conservative) World Population 7.6 Billion 6.3 Billion 6.8 Billion 7.2 Billion Connected Devices 50 Billion 500 Million 12.5 Billion 25 Billion Connected Devices Per Person More connected devices than people 0.08 1.84 3.47 6.58 2003 2008 2010 2015 2020 SOURCE: CISCO
Smart Buildings Dashboards Internet AC power sub-meters Gas/Water sub-meters Temp, Hum., Light, CO2 sensors Outdoor temperature Relay nodes Routers SOURCE: CISCO
Smart Manufacturing Business Systems, ERP Customer Supply Chain Distribution Center Smart Factory • Dynamic plant configuration, readiness • Dynamic product configuration • Dynamic inventory minimization Smart Grid SOURCE: ROBERT GRAYBILL
The Internet of Things Mainenance Monitoring Energy Monitoring Metering Smart Metering
How RFID Works Antenna • Tag enters RF field • RF signal powers tag • Tag transmits ID, plus data • Reader captures data • Reader sends data to computer • Computer determines action • Computer instructs reader • Reader transmits data to tag Tag Computer RFID Reader SOURCE: PHILIPS
Radio Frequency ID (RFID) RFID Inventory Reader RFID Surgical Clamp
KEY FOB SMART CARD PRINTABLE LABEL WRISTBANDS RFID Form Factors SOURCE: PRECISION DYNAMICS
USB READER RFID Readers PCMCIA CARD SONY METRO READER/WRITER FITS IN THE SECURE DIGITAL SLOT OF A PDA HANDHELD (WIRED OR BLUETOOTH)
Active RFID VERSUS PERSONNEL TAG ACTIVE WRISTBAND AXCESS ACTIVE DOT RANGE: 1000 FEET
0.4mm 0.4mm Hitachi -chip • 0.4 mm square • 128-bit storage • Range: 1 foot • Embedded antenna • Small enough to put in currency SOURCE: HITACHI
Euro Banknotes • European Central Bank is now implanting RFID tags in banknotes • Uses • Anti-counterfeiting • Tracking money flows • U.S. passports now have RFIDs
Hitachi RFID “Powder” • 1/64 the size of a -chip! HUMAN HAIR SOURCE: SCIENTIFIC AMERICAN (2008)
NFC Medical Sensing Devices Glucose Sensor For Diabetes iMPak RhythmTrak Announced May 2012 $39.95 Sends ECG to Android phone
Internet of Health Proteus Pill Consumption Tracking Continuous blood chemistry patch Sotera Visi-Mobile Wireless EEG iRhythm cardiac sensor
Body Monitoring Sensors Monitors movement during sleep. View/upload via NFC phone in the morning Monitors glucose levels, controls medication pump Swallowable Camera
Patient RFID Reader SOURCE: SIEMENS
Intelligent Pharmaceuticals EKG ETC. ON SMARTPHONE INGESTIBLERFID PILL SKIN PATCH RECEIVER IMPLANTABLE ELECTRONICS AT SUB-MILLIMETER SCALE SOURCE: PROTEUS
Real-Time Hospital Locating Systems SOURCES: SECUREDGE& INFINIIUMSOLUTIONZ
CardGuardWireless Healthcare System SOURCE: CARDGUARD
Hospital Process Monitoring SOURCE: PRECISION DYNAMICS
IoT Deployment Months to learn, prototype and develop a system SOURCE: XIVELY
Internet of Everything Cisco: 99.4% of things that should be connected aren’t Predicting 200-800 Billion Devices in 10 years SOURCE: HARBOR RESEARCH
Task 1 • Review Industry 4.0 and Internet of Things technology • Review medical RFID and sensor applications (there are many) • Develop 4 IoT systems for UPMC • Estimate development, deployment and operating costs for your Food Service application • You must THINK BIG • And BE CREATIVE
Q A &