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Alberto Bielsa (Libelium) - Conférence TechnoArk 2013
- 1. Applications the Internet of Things will revolutionize : a focus on Smart Cities
- 2. Who I am? Age: 28 Master of Science in Telecommunication Engineering Company: Libelium Wireless Communications From 2008 to 2011: Software Engineer Since 2011: Project Manager 2
- 3. Who WE are? + We can take advantage of a horizontal approach to market + Allows us to access bigger accounts by partnering with system integrators 3
- 4. Who WE are? Revenues *Team: 30 people 2.000.000 € ●5 sales 1.500.000 € 1.000.000 € ●2 marketing 500.000 € ●16 R&D (high-speed development!!) 0€ 2007 2008 ●7 operations 2009 2010 2011 Industry Awards Technology leaders KTN: 10 years of evolution 4
- 5. Who WE are? Customers in +45 countries worldwide 5
- 6. Our solution • Easy to maintain • Easy to deploy • Easy to be scalable 6
- 7. Our solution Up to 6 different sensor probes per enclosure • Easy to change any sensor probe • Easy to add new sensor probes Solar powered • Internal or external panels 7
- 8. 8
- 9. Smart Parking According to a study • Between 8 and 74% of traffic in by UCLA Professor congested downtown areas is caused Donald Shoup by people searching for parking A recent study of New York traffic estimates • 28% of drivers in Manhattah that citizens cruise for • 45% of drivers in Brooklyn parking Studies in major cities • Estimate that drivers spend 3.5 to 14 (San Francisco, Sydney, minutes searching for a space each New York and London) time they park 9
- 10. Smart Parking • Some surveys show that: Today Future Global Population 6 billion 9 billion (2044) Passenger Cars 800 million 2-3 billion (2050) 60% drivers have City Dwellers 50% of population 60% of population (3 billion) (5 billion in 2030) abandoned their search for a space at least once 30% urban traffic caused by drivers looking for parking space Smart Parking systems make it easier to find a parking space 10
- 11. Smart Parking 3 steps: 1. The parking nodes send the information to the repeaters 2. The repeaters send the information to the concentrator 3. The concentrator sends the information to the Internet 11
- 12. Case Studies Let's see what we can do with these elements... 12
- 13. Case Study 1: Salamanca *Customer: Fundación Cartif *7 sensors/node: temperature, humidity, CO, NO2, O3, Noise, Dust *Solar powered 13
- 14. Case Study 1: Salamanca *Challenges: • Network optimization • Enclosure 14
- 15. Case Study 2: Serbia *Customer: Ericsson *Temperature, humidity, CO, CO2, NO2 *GPS - > request time to arrival of buses 15
- 16. Case Study 2: Serbia *Challenges: • Mobile & “Moving” Network • Independent nodes 16
- 17. Case Study 3: SmartSantander *Customer: Universidad Cantabria, Telefónica I+D *Biggest Smart City deployment (1,000 nodes) *Smart Parking *CO, luminosity, temperature and noise 17
- 18. Case Study 3: SmartSantander *Technical challenges • Sensor calibration • Sensor placement • Interferences? • Network topology (2.4GHz, Digimesh) 18
- 19. Case Study 3: SmartSantander *Technical challenges (2) • Over the Air Programming (help from Universidad Cantabria) o Unicast, Multicast, Broadcast 19
- 20. Case Study 3: SmartSantander *Deployment Challenges • Timing • Weather • Interaction with existing elements 20
- 21. The Future of Smart Cities • Videoconferencing in all homes • Customised Public transportation system • Pneumatic waste management • Water taxis New Songdo, South Korea 21
- 22. Citizens & Smart Cities Fence effect 1.0 Fence effect 2.0 22
- 23. Citizens & Smart Cities What are you doing with MY taxes? How will I benefit from this? Is it safe? 23
- 24. Thanks! Need more information? Contact details a.bielsa@libelium.com +34 976 54 74 92 24