http://www.fiware.org
http://lab.fiware.org
Follow @FIWARE on Twitter!
FIWARE: value proposition for smart cities
José Manuel Cantera Fonseca
Telefonica I+D. Technological Expert
josemanuel.canterafonseca@telefonica.com, @jmcantera(twitter)
Introduction
2
Smart City .- A horizontal concept in a world of verticals
Efficiency Sustainability
Healthier /
Happier
Urban Living
Transparency
Vertical solutions .- A temptation with many drawbacks
• Vendor lock-in
• Inefficient silos. Non-scalable.
• Monolithic. Closed. 3rd party innovation is not favored.
• Collaboration (internal and external) is difficult to achieve.
Can we make cities smarter using a common, horizontal
infrastructure on which different verticals / 3d party apps
can live and share platform services and data?
Smart
Parking
Horizontal Common
City
Infrastructure
Smart
Mobility
Third party
Apps
Civic
Issue
Tracking
Environment Energy
Platform
Services
Common
APIs
FIWARE .- The Technology
Smart cities .- A universe or ecosystem of interconnected,
dynamic entities and interrelated processes
Multiple consumers and providers of real time / historic data  Context data
Waste Container
Municipal
Vehicle
Private
Vehicle
Street Light Air Quality Station Citizen Garden
Parking
Weather Forecast
Real time data / Historical data flow
FIWARE : Smart Cities are Context-aware cities
NGSIv2 + Harmonized Data Models 
Interoperable, scalable, open, multi-vendor, multi-vertical smart city applications
FIWARE .- Orion Context Broker
Waste Container
Air Quality Station
Citizen
Weather Forecast
id: anaga-wc-2432,
type: WasteContainer,
location: “lat,long”,
fillingLevel: 0.56,
temperature: 21,
status: ok,
refWasteContainerModel: m34
dateLastEmptying: <yesterday @ 05:12>
id: tr-garbage-456,
type: Vehicle,
vehicleType: truck,
location: “lat, long”,
speed: 45,
cargoWeight: 765,
serviceProvided: [garbageCollection],
areaServed: Centro
id: airquality-los-dragos-08:00,
type: AirQualityObserved,
location: “lat,long”,
stationName: Los Dragos – SCTef,
NO2: 114,
O3: 21,
dateObserved: <today @ 08:00>,
source:
http://www.gobiernodecanarias.org
id: wf-sct-2016-11-11,
type: WeatherForecast,
address: “Santa Cruz de TF”
temperature: 22,
relativeHumidity: 0.75,
weatherType: clear,
dateIssued: <today @ 08:00>
source: www.aemet.es
id: wf-sct-2016-11-11,
type: Open311:ServiceRequest,
location: “lat,long”,
status: open,
description: ”Container broken”
requested_datetime: <yesterday@ 23:17>
media_url: <<link to photo>>
Vehicle
Orion Context Broker .- At the heart of the smart city
NGSIv2 .- RESTful API for exposing real time (open) data in smart cities
Part of GSMA’s recommended architecture for IoT Big Data Ecosystems
Case of Study 1
Smart Parking
Case of study : Smart parking with FIWARE (landscape)
Case of Study 2
Portable City Dashboard
enabled by harmonized data models
Multi-city, Multi-vertical, off-the-shelf dashboard
FIWARE .- To sum up
FIWARE .- Main features
• Open, OSS, vendor neutral, robust, non-intrusive.
• IoT Ready. Multivendor. Multiprotocol.
• Large scale real time / historic data.
• RESTful APIs (NGSIv2) for data publication, consumption and subscription.
• schema.fiware.org (harmonized data models. Aligned with GSMA’s work).
A modular, rich suite of open source components for
solving different smart city challenges
Open data publicationAdvanced Web-based UI (AR,
3D)
Data/Apps visualization
Big Data Analysis
Multimedia processing
Orion
Context Broker
Complex Event
Processing
Success Story 1
Smarter Car Navigator
Experimental prototype of a smarter car navigator
Multiple Cities: Santander, Oporto, Antwerpen, Seville, …
Collaboration of different stakeholders
Councils. SMEs, universities, data providers, parking operators,
telcos
Success Story 2
Smart Guadalajara
Case of Study: Smart Guadalajara
Improve your city portal enabling citizen participation through civic issue reporting
Council dashboard to follow issue evolution and resolution performance
Case of Study: Smart Guadalajara
KPI indicators about the efficiency and effectiveness of the waste
collection service (subcontracted by the city council)
Analytic tools
KPISDASHBOARD CITIZEN-
CENTRIC
DESIGN
Context Broker
IoT Devices External Systems
Collaboration of different stakeholders
Councils. Cleaning Services Provider. Telcos
FIWARE .- The Community
FIWARE Acceleration Programme
More than 1000 startups creating FIWARE-compatible applications
OASC .- A vibrant network of cities committed to FIWARE standards
FIWARE Foundation.- Next Step
First FIWARE Summit on December!
References
• http://fiware.org/smart-cities
• http://developer.fiware.org
• http://github.com/fiware
• http://schema.fiware.org
• http://fiware.github.io/specifications/ngsiv2/latest/
• http://www.gsma.com/connectedliving/iot-big-data
• http://www.fiware.org/foundation/
• http://www.fiware.org/summit/
http://fiware.org
http://lab.fiware.org
http://www.youtube.com/user/fiware
@FIWARE
Thanks!
29

FIWARE - Smart Cities

  • 1.
    http://www.fiware.org http://lab.fiware.org Follow @FIWARE onTwitter! FIWARE: value proposition for smart cities José Manuel Cantera Fonseca Telefonica I+D. Technological Expert josemanuel.canterafonseca@telefonica.com, @jmcantera(twitter)
  • 2.
  • 3.
    2 Smart City .-A horizontal concept in a world of verticals Efficiency Sustainability Healthier / Happier Urban Living Transparency
  • 4.
    Vertical solutions .-A temptation with many drawbacks • Vendor lock-in • Inefficient silos. Non-scalable. • Monolithic. Closed. 3rd party innovation is not favored. • Collaboration (internal and external) is difficult to achieve.
  • 5.
    Can we makecities smarter using a common, horizontal infrastructure on which different verticals / 3d party apps can live and share platform services and data? Smart Parking Horizontal Common City Infrastructure Smart Mobility Third party Apps Civic Issue Tracking Environment Energy Platform Services Common APIs
  • 6.
    FIWARE .- TheTechnology
  • 7.
    Smart cities .-A universe or ecosystem of interconnected, dynamic entities and interrelated processes Multiple consumers and providers of real time / historic data  Context data Waste Container Municipal Vehicle Private Vehicle Street Light Air Quality Station Citizen Garden Parking Weather Forecast Real time data / Historical data flow
  • 8.
    FIWARE : SmartCities are Context-aware cities NGSIv2 + Harmonized Data Models  Interoperable, scalable, open, multi-vendor, multi-vertical smart city applications FIWARE .- Orion Context Broker Waste Container Air Quality Station Citizen Weather Forecast id: anaga-wc-2432, type: WasteContainer, location: “lat,long”, fillingLevel: 0.56, temperature: 21, status: ok, refWasteContainerModel: m34 dateLastEmptying: <yesterday @ 05:12> id: tr-garbage-456, type: Vehicle, vehicleType: truck, location: “lat, long”, speed: 45, cargoWeight: 765, serviceProvided: [garbageCollection], areaServed: Centro id: airquality-los-dragos-08:00, type: AirQualityObserved, location: “lat,long”, stationName: Los Dragos – SCTef, NO2: 114, O3: 21, dateObserved: <today @ 08:00>, source: http://www.gobiernodecanarias.org id: wf-sct-2016-11-11, type: WeatherForecast, address: “Santa Cruz de TF” temperature: 22, relativeHumidity: 0.75, weatherType: clear, dateIssued: <today @ 08:00> source: www.aemet.es id: wf-sct-2016-11-11, type: Open311:ServiceRequest, location: “lat,long”, status: open, description: ”Container broken” requested_datetime: <yesterday@ 23:17> media_url: <<link to photo>> Vehicle
  • 9.
    Orion Context Broker.- At the heart of the smart city NGSIv2 .- RESTful API for exposing real time (open) data in smart cities Part of GSMA’s recommended architecture for IoT Big Data Ecosystems
  • 10.
    Case of Study1 Smart Parking
  • 11.
    Case of study: Smart parking with FIWARE (landscape)
  • 12.
    Case of Study2 Portable City Dashboard enabled by harmonized data models
  • 13.
  • 14.
  • 15.
    FIWARE .- Mainfeatures • Open, OSS, vendor neutral, robust, non-intrusive. • IoT Ready. Multivendor. Multiprotocol. • Large scale real time / historic data. • RESTful APIs (NGSIv2) for data publication, consumption and subscription. • schema.fiware.org (harmonized data models. Aligned with GSMA’s work).
  • 16.
    A modular, richsuite of open source components for solving different smart city challenges Open data publicationAdvanced Web-based UI (AR, 3D) Data/Apps visualization Big Data Analysis Multimedia processing Orion Context Broker Complex Event Processing
  • 17.
  • 18.
    Experimental prototype ofa smarter car navigator Multiple Cities: Santander, Oporto, Antwerpen, Seville, …
  • 19.
    Collaboration of differentstakeholders Councils. SMEs, universities, data providers, parking operators, telcos
  • 20.
  • 21.
    Case of Study:Smart Guadalajara Improve your city portal enabling citizen participation through civic issue reporting Council dashboard to follow issue evolution and resolution performance
  • 22.
    Case of Study:Smart Guadalajara KPI indicators about the efficiency and effectiveness of the waste collection service (subcontracted by the city council) Analytic tools KPISDASHBOARD CITIZEN- CENTRIC DESIGN Context Broker IoT Devices External Systems
  • 23.
    Collaboration of differentstakeholders Councils. Cleaning Services Provider. Telcos
  • 24.
    FIWARE .- TheCommunity
  • 25.
    FIWARE Acceleration Programme Morethan 1000 startups creating FIWARE-compatible applications
  • 26.
    OASC .- Avibrant network of cities committed to FIWARE standards
  • 27.
  • 28.
    First FIWARE Summiton December!
  • 29.
    References • http://fiware.org/smart-cities • http://developer.fiware.org •http://github.com/fiware • http://schema.fiware.org • http://fiware.github.io/specifications/ngsiv2/latest/ • http://www.gsma.com/connectedliving/iot-big-data • http://www.fiware.org/foundation/ • http://www.fiware.org/summit/
  • 30.