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Sentilo Terrassa (Smart City Open Data)

 Sentilo Terrassa (Smart City Open Data) - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Application Infrastructure & Middleware - Database Management & Storage
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Cities & Municipalities
Applicable Functions
  • Business Operation
Use Cases
  • Smart City Operations
The Challenge

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). 

The Customer
City of Terrassa
About The Customer
Terrassa City Council
The Solution

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

Data Collected
Acoustic Positioning, Air Quality (PMI), Asset Location, Lighting, Water Usage
Operational Impact
  • [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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