Smart City Barcelona WoT Implementation

Hi all

Today, there has been an very interesting article appearing on Hacker News (https://news.ycombinator.com/ <https://news.ycombinator.com/>) targeting how Barcelona is using an extensive sensor network and open sourcing it’s smart city „toolkit“ & architecture. You may read the full article here –> http://blog.hackerearth.com/barcelona-smart-city.html <http://blog.hackerearth.com/barcelona-smart-city.html>

In short Barcelona’s approach can be described by it’s 3 architecture layers:

> Barcelona city government structured its various smart city projects in the following 3 technology layers:
> 
> Layer 1: Sensors to sense activities in the environment [*]
> 
> The government has installed a sensor platform called “Sentilo”. Considering the potential of the platform, the city government has made the Sentilo platform open source and the repository is available on Github <https://github.com/sentilo/sentilo>. This will enable anyone in the world to use the platform to build their own applications.
> 
> The sensors are deployed across the city based on the requirements of the projects. These sensors are used to monitor and detect changes in the environment, for example, changes in the pollution level in a specific area.
> 
> Layer 2: City OS
> 
> City OS is the key for unlocking IoT benefits associated with data analytics and predictive modeling. It aggregates the data from various city applications and Sentilo and analyses it. For example, using the data collected from Sentilo about the pollution level, City OS can create a graphical visualization. It can also predict the pollution level for the rest of the week. This mechanism helps the Pollution Control Board to take proactive measures..
> 
> Layer 3: Service layer for data sharing
> 
> The third layer is a service layer that is used for sharing the data and analytics that are collected from the City OS layer. This data can be used by the public to enhance the city services and operations. For example, with the data and predictions available at the City OS layer, application developers can build a mobile app. This app can be used to alert users about the pollution levels and recommend appropriate measures.
> 
[*] Sentilo would be a great candidate for being added to the WoT Implementation Wiki page

Further the article share’s some very interesting use cases including numbers and figures about their impact.
 Those use cases are:

Transit system
Rainwater harvesting system
Bicycle sharing system
Power generation and distribution network

I think including actual numbers on a city level would be a great benefit for the WoT use cases and requirements document (https://w3c.github.io/wot/wot-ucr.html <https://w3c.github.io/wot/wot-ucr.html>). 

Best Regards,
Christopher

-- 
Christopher Krempel
W3C Office Germany/Austria
 <http://www.w3c.de/>

DFKI GmbH <http://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany
Phone: +49-30-23895-1824 Fax: -1810
christopher.krempel <mailto:christopher.krempel@dfki.de>@dfki.de <mailto:christopher.krempel@dfki.de>
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
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