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Understanding Sensor Networks and Their Impact on Management Systems

The lecture recap discusses the evolution of sensor networks and their critical role in management systems. Sensors interact with the environment to signal changes and stimuli, creating an interface between physical systems and data management. With the shift from simple sensors to complex analytics and the rise of computing power, larger scopes of data can now be analyzed. The session covers various sensor applications, including motion detection, automated toll systems like EZ-Pass, and techniques for non-destructive testing. It also highlights the economic implications of sensor data in infrastructure pricing.

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Understanding Sensor Networks and Their Impact on Management Systems

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  1. Sensors - Recap H. Scott Matthews March 23, 2004

  2. Admin Issues • HW #3 - Mean 36/40 • A few not submitted yet

  3. Recap of Last Lecture(s) • Finished discussion of ‘mgmt systems’ • Sensors interact with our environment and signal stimuli and changes • Sensor networks act as interfaces between sensors and our systems and practices • Historically, trend has been simple sensors connected to complex systems

  4. Evolution of Systems • Increased data handling, analytic techniques (prob/stats, optimization, multi-obj analysis) • Computing power increased led to ability to look at larger scopes • In both problem area and application • Eventually went from mainframes to PCs - which sped up reporting time • “Sensor networks” / networks of sensors

  5. Simple Sensor Example • Infrared Beam that reflects and sensor checks when beam broken • Used for ‘motion or passing through’ (mall) • Sensor connected to DC power source • Radio Shack $10, connect to alarm sys • Normally Open/Closed circuits • Watch multimeter as we make the sensor activate • What is happening? Why?

  6. Implementation of Sensor • What kind of signal/system is this sensor generating (binary/boolean) • ‘Is it happening?’ - yes or no? • Could measure temperature? • Could measure temp cutoff (thermostat) • What other types of sensors/systems could/would work in a similar way? • Vehicle detector, occupancy, .. • How would we connect to a mgmt system?

  7. More Complex ‘Sensor’ • Not really a ‘sensor’ but instead the communication method used by one • Simple radio antennas - transmit and receive • e.g. as used by wireless LAN on campus • Imagine this is ‘EZ-Pass’ • What is EZ-Pass - RFID tag system to uniquely identify cars and automate toll collection • Uses a transponder to send/receive radio signals • What else could you use it for?

  8. Other Sensor Apps for IM • Asset condition / performance • Vehicle counting / tracking • Non-destructive testing/evaluation • Acoustic: use sound waves to detect flaws (pulses or continuous) in materials or structures • Thermal: similar to above - compression/tension cause hot/cold • Vibration: create signatures, compare

  9. Connect with HW 3 - Value • Hip buzzwords of the day: “road value pricing” • Road pricing = pay for driving • Value pricing = it benefits you (reduced congestion, more maintenance, etc.) • Peak/demand pricing - Airlines do it, why not built infrastructure? • ‘Lexus lanes’ - HOT lanes (HOV + toll) • San Diego I-15: 8-miles, $0.50 -> $8 range! • Cordon tolls (e.g. central London)

  10. London Congestion Tolls • Enacted to reduce traffic in central London, get fees from users • 5 pound fee / day ($8) - 70M per year ($150M) • After 6 months: • 50,000 fewer cars per day entering zone • But only 4,000 less net people (switch to metro) • Congestion in the zone down 30% • Vehicles entering zone during the day down 16% • Trip times decreased by an average 14% • Public transport is coping well with the increased number of ex-car users • 20% reduction in the number of accidents

  11. Intermediate Use 1972-1997

  12. For next time: • Read “Critical Infrastructure” Excerpt • Read Heller “Interdependencies”

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