Climate change is an increasing problem which affects the entire world and has terrible consequences on the people and the planet. Thinking about what to do in order to help solve the problem, we came up with the idea of creating a tool that processes the data produced by IoT devices in a smart city and turns it into usable information. It also has a web that shows the information implemented on 3D maps showing, for instance, the level of air pollution on the areas of the map, and proposing solutions to the problems of each area of the city. Those solutions are made by an AI integrated in the tool.

To do that, the tool needs sensors to get the information, connectivity with the IoT devices, connection security and data treatment. Then it shows the information and proposes a strategy to solve the problems.

Firstly, the information about the city is collected with different sensors, such us heliometers, thermometers, motion sensors, CO2 and O2 measurers, photometers, etc. Those could be found, for example, in bus stops, bins, traffic lights…

Then the information is sent to the database using LoRaWAN, a network protocol that uses a radio frequency modulation known as LoRa. We chose LoRaWAN because it can be used at long distances and has already been used with IoT in other projects.

During this process, the information must be safe so that no one can manipulate or modify it. For this task, we use the bitdefender NTSA technology, which alerts us when the data is being attacked.

We use the data of global temperature and CO2 levels from the repositories of the NASA (https://climate.nasa.gov/vital-signs/global-temperature/, https://climate.nasa.gov/vital-signs/carbon-dioxide/) and the IoT data of the city from a data bank (in this case Valencia Open Data: http://gobiernoabierto.valencia.es/en/data/). To treat the data, we use the Data-driven documents library of JavaScript; and the proposal of the solutions is made by an integrated AI.

The information is finally shown on a web, where everyone can see all the data classified in several categories in a 3D map and charts. The strategies, requested by specific clients such as town halls or enterprises, are shown in a private client page of the web.

In conclusion, with this project, what we do is to offer strategies based on the data collected from NASA and IoT devices in cities to city halls or enterprises on what to do next to make cities eco-friendly and energy-efficient, among other things. We think that our project could be of big importance not only because of its potential use in the case of a specific city but because it can be implemented on potentially any city of the world, as IoT devices can be implemented in any city and make it smart. By showing the information publicly, we try and incentivize people to take part on the change, which can eventually have a global impact to the better. The project can actually work in the real world, as it uses current available technology, even though, it will need some time to start getting results. Finally, it is also aligned with two Sustainable Development Goals, the eleventh (Sustainable cities and communities) and specially the thirteenth (Climate action).