Data Logger: cognitive analysis

This work is developed on the basis of data related to the driving experience of a motorcycle in its aspects. The drivers point of view is supported by the analysis of the data produced by the sensors and collected by a data logger. The two aspects, human and technical, have been standardized from a technological point of view so that they can be analysed and related to each other. The need for cognitive algorithms has led to the use of Cloud PaaS and SaaS technologies: these have allowed the rapid realization of the project without technical constraints. All of this is part of the specific requirements set up by Ducati's PQ department whose aim is to evaluate the response on the road of new models or technological improvements before the production in series. The final solution for the proposed data collection was realized using different services of IBM Cloud: a web app was built using a virtual assistant based on cognitive technology that guides the user in the collection of information and verifies its consistency. The application required backend services such as an Object Storage and a Database, to store multimedia content and data respectively. Concerning the front-end instead, the automation of the collection mode has led to the introduction of an acquisition process that was easier to use and always available in terms of reachability and flexibility. The information related to the data collected by the logger did not need to be mediated by further technological components. The technology used for the analytical part is Microsoft's Power BI. The integration with the two data sources is plug and play: the data are automatically updated. Several types of analysis have been done and range from reconstruction and correlation of measurements on a route to text analysis of driver sensations. In addition to this, a PCB has been developed to solve an issue related to the data logger itself.