Opentrends Case Studies Sentilo Terrassa (Smart City Open Data)
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Sentilo Terrassa (Smart City Open Data)

Sentilo Terrassa (Smart City Open Data) - Opentrends Industrial IoT Case Study
Analytics & Modeling - Real Time Analytics
Application Infrastructure & Middleware - Database Management & Storage
Platform as a Service (PaaS) - Data Management Platforms
Cities & Municipalities
Business Operation
Smart City Operations

Terrassa City was in need to ameliorate their information and communication flow between municipal managers, in order to generate new services to its citizens. The City Council was missing an internal management platform of the municipal services, and wanted to initiate a Smart City strategy to solve this issue, along with bringing value to all parties involved (municipality, businesses, citizens and other local entities). 

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Terrassa City Council
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City of Terrassa
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Sentilo (later, Thingtia in the cloud) platform for Terrassa City that integrates in real-time all data coming vertically from sensors and actuators. It is available to the public under the City Open Data. To highlight is its irrigation management scheduling and billing system, taking into account weather conditions and water consumption control.

Sentilo wins the ‘’Most innovative platform’’ Award at the 2016 Open Awards for Smart Cities

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Acoustic Positioning, Air Quality (PMI), Asset Location, Lighting, Water Usage
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[Management Effectiveness - Centralized Management]

Sentilo Terrassa platform centralizes and monitors all incoming data, allowing Terrassa City to accurately and consistently coordinate incoming data.

[Data Management - Data Visualization]

More coherent and visual information report: Sentilo/Thingtia platform allows decision-makers, citizens, businesses and other entities to read information faster and more coherently, than individual traditional reports.

[Management Effectiveness - Big Data Analysis]

Stakeholders now can make educated decisions on large data sets indicating traffic levels, underground availability parking, and meteorological information, thanks to having a centralized asset system.

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