During the first year of the project, work was focused on developing and integrating the several parts of the SCENE platform. To this end, the consortium defined three use cases to be tested in the first phase of pilots, due to the beginning of the second year of the project. The use cases were carefully designed to test all aspects of the platform, based on the overall objectives defined at the beginning of the project.
The Italian use case is based on monitoring of critical infrastructures. The pilot involves the mobility of the gateway (mounted in AMT buses) and the usage of two different sensors, one set of “smart sensor” based on Raspberry Pi using WiFi to connect to the mobile gateway and a set of of-the-shelf commercial sensors that connect to the gateway using Bluetooth Low Energy (BLE). This use case demonstrates the usage of different types of sensors to set up a sensor network to monitor temperature and vibration in historical buildings. Regardless of the source of the data, the SCENE platform is able to capture this information and record it in its Service Platform, to be used by specialized applications.
The Italian use case will also allow us to test and demonstrate the content delivery platform to be used within AMT buses by the public.
The Portuguese use case is based on the detection of parking infractions. To this end a specialized sensor prototype was developed, that uses edge computing and artificial intelligence to detect double-parked cars. This use case will push the limits of the SCENE vehicular network by using data that is based on high resolution photographic evidence, with file sizes rounding the hundreds of KB. This use case will thus demonstrate that the SCENE framework can be used for situations where traditional IoT communication solutions are inadequate, by using public transportation as a means to effectively bring these large files from sensor to the Service Platform.
Regarding ethics and privacy, the Portuguese use case was also chosen to demonstrate how it is possible to implement smart traffic monitoring solutions without compromising the rights of the citizens. The use case was subjected to a formal Data Protection Impact Assessment, that resulted in the implementation of several privacy and security controls into the system.
The final French use case will demonstrate the possibility of mounting sensors in the public transport, using it as a way to monitor air pollution levels within the whole city. This will allow a better map of pollution “hot spots” where targeted action by the municipality will lead to a better environment for the citizens.
At the end of RP1, all the components have been tested in laboratory, and the integration has been demonstrated from sensor data to Service Platform.
