| dc.description.abstract | Smart cities generate large amounts of data from a range of sources, like sensor networks, social media and general citizen-city interaction. In order for the data to be valuable for citizens and decision-makers, the data needs to be managed cohesively. The data should be collected, stored, processed and disseminated in such a way that it can benefit the city, either in terms of providing data for other smart city applications, or through providing information that helps citizens and decision-makers gain knowledge about the city.
This thesis proposes an architecture for smart city ICT systems that consists of components for data collection, storage, processing, and dissemination, and detail how these can be built and interact with each other. The architecture focuses on how the collected dat is stored, transformed, and how to effectively disseminate the data to different users. In order to research how well the architecture can be applied to a real smart city context, the architecture is implemented as a prototype for a data management and key performance indicator monitoring system for zero-emission neighbourhoods in smart cities. This system is intended for use in the FME ZEN research centre pilot projects designing, creating and testing zero-emission neighbourhoods. The prototype translates the components of the architecture into technological modules that manage the associated aspects. The prototype implements the collection, storage, and transformation of raw data to KPI data for the ZEB Living Laboratory. It then disseminates the data through an open data platform and a web based interface. This thesis shows that a data management system for zero-emission neighbourhoods in smart cities can be built using the suggest architecture. This can hopefully contribute to further the work of creating a full data management ICT system for the ZEN research centre pilot projects and improve knowledge related to smart city ICT architecture. | |
