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Scoop.it!
Libelium is calling for cities with severe levels of air pollution and extreme meteorological conditions to take part in a test of its new air quality measurement technology. 
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Scoop.it!
While 2018 was filled with a number of successful smart city deployments, it also revealed significant challenges that will only intensify in years to come. The most pressing challenge to be addressed throughout 2019 is earning the public’s trust in smart city projects. Towards the end of 2018, we saw major data privacy concerns emerge from citizens. From these concerns a heated, but healthy discourse between citizens, local governments, and private sector companies rose to mainstream media prominence. Citizens’ expectations of privacy have begun to challenge the murky data privacy policies described by many in the private sector. 2019 will be the year of the smart city for the citizen.
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Here's a solution to help urban air management:
IoT technology manufacturer Libelium is offering to install for free its Air Quality Station air pollution analysis metrology devices in cities that meet its set of criteria.
The new Air Quality Station is based on machine learning algorithms and statistical data analysis. The device learns and improves its accuracy as it acquires data that is compared and analysed with those recorded by official reference stations.
“With this new platform, Libelium helps smart cities to add capillarity to their urban air measurement network,” said Alicia Asin, CEO of Libelium.
“Many cities have a single device with high metrological capacity that costs hundreds of thousands of euros so they can only measure pollution levels in a certain location. With IoT technology, more measurement points can be added with quality and precision devices that reduce the required investment to a tenth of the cost.”
Libelium reports it has tested the new technology at five sites with different weather conditions and different pollution levels to feed the artificial intelligence (AI) of the device and provide continuous improvement in the accuracy of the device.