Libelium Air Quality Station

Cities are demanding reference Air Quality Stations that have high costs to monitor key pollution parameters. Libelium solves this by providing smarter, smaller and more affordable Air Quality Stations that collects and analyses data through Libelium Cloud using Artificial Intelligence.

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Machine learning algorithms applied

Radio: LTE (4G)

Gases, particle matter, noise level and weather station

The Air Quality Station will allow your city to monitor key pollution parameters through Artificial Intelligence

More granularity to measure AQI in the city

Cities require Reference Air Quality stations to monitor key pollution parameters. These stations have high costs and their size is significant.

A higher spatial granularity is needed with a much larger number of reference stations spread throughout the city.

Libelium can solve this by providing smarter Air Quality Stations that can be distributed in the key points of the smart city.

AQI measurement solution

The new Air Quality Station has been designed to integrate Artificial Intelligence to create predictive models that you can manage through Libelium Cloud.

The quality of the reference data directly affects the results: good data range and resolution generate better A.I. models.

Behind the solution

We make the difference

Affordable, small and accurate stations, so that its deployment can cover more of the city’s key areas.

The more monitored locations in the city, the faster the response can be.

Allows for a wider range of deployment and capillarity.

Take a look at the most recent studies we published and discover how the trained algorithm lead us to get the best R² and MAE in the market.

Check the results on the installations where the Air Quality Station has been deployed.

Terrasa – Zaragoza (Roger de flor) – Zaragoza (Jaime Ferrán).

To apply the Artificial Inteligence models, Air Quality Station needs to be calibrated first. We offer two types of calibration options.

Co-calibration against the nearest reference station.

Calibration using the universal models provided by Libelium.

1. Parameters that can be measured

With a simple configuration you can manage the data in real-time from Libelium Cloud:

Air Quality Station allows you to measure the most relevant pollutants and key parameters required in every air quality project.|

2. The Air Quality Station that learns: types of calibration

Co-location calibration against

Reference Station

Step 1

Co-location phase: Air Quality Station will be deployed next to the reference station to collect data for 1 month. This is needed in order to calibrate Air Quality nodes against scientific reference stations.

Step 2-3

Data from the Reference station will be sent to Libelium Cloud through a CSV file. Meanwhile, all data gathered by Libelium Air Quality Station has been collected in the cloud.

Step 4

Then the calibration process starts in the Model Factory section from our Cloud. This is where Artificial Intelligence takes part, allowing the user to start predictive models.

Step 5

Once the AQS node has been calibrated and trained it is ready to be deployed.
*Remember that you can calibrate against the reference station more than one AQS node at the same time.

Apply

Universal Models

There are many barriers to accessing a reference station. That is why at Libelium we provide an alternative option for those users who do not have access to reference stations.

The collected data layer from different locations analyzed in the recent studies allowed us the design of a generic artificial intelligence model for air quality prediction.

Moreover, Libelium Air Quality Station’s universal model continues to learn and train itself from all Air Quality Stations deployed and placed next to reference stations, so it will become richer, more dynamic and more accurate.

Step 1

Different Libelium Air Quality Stations were deployed near Reference Stations and the collected data from the Reference stations will be sent to Libelium Cloud to shape the universal model.

Step 2

Now your Libelium Air Quality Station can work with the calibration against the universal model.

Co-location calibration against

golden node

Step 1

Co-location phase: Your Air Quality Station previously calibrated against Reference Station is now named Golden Node.

A “golden node” is an Air Quality Station node previously calibrated by co-location process. This means that a first “Co-location” phase must be completed prior defining the device as “golden node”.

To bare in mind

*This phase is interesting in case the project requires a large number of Air Quality Stations. In this way, it is possible to calibrate the remaining nodes with the node that was calibrated against the Reference Station in phase 1 (now called Golden Node).

3. Air Quality Station +
Libelium Cloud

Data extracted from Scientific Reference Air Quality station is used in Artificial Intelligence (AI) model automation specifically for every project.

Libelium Cloud is the new software platform that allows the management of an IoT project from the beginning to the end.

4. Easy to use

Libelium Cloud allows the user to execute remote Over The Air Programming (OTA), parameter configuration and reboot via LTE network
4G connectivity

Easy to install, no batteries needed
Simply connected to 220 V
Libelium Cloud provides artificial intelligence and different graphs, dashboards and alerts to visualize data

5. Tests & Results (co-location studies)

With a simple configuration you can manage the data in real-time from Libelium Cloud:

Air Quality Station allows you to measure the most relevant pollutants and key parameters required in every air quality project.|

We are here to help you with your project

For more information about Libelium and how it can benefit your city, contact us.

María García

B2B Sales Specialist

Ana Lodeiro

Smart Cities Sales Manager

Pau Miras

Smart Cities Sales Manager

Mara Deritter

Business Development Manager

Innovate new solutions for the Internet of Things Market

Libelium participates in a project co-financed by the Spanish Ministry of Economy

Libelium participates in a project co-financed by the Spanish Ministry of the economy that promotes research to innovate new solutions for the Internet of Things Market.

The project “New device for high-precision monitoring and multivariate analysis of environmental factors’ has been co-financed by the Ministry of Economy and Business. This project is in the field of Digital Enabling Technologies (THD – 1/2019), within the State Plan for Scientific and Technical Research. File Number TSI-100110-2019-24