This thesis is a study with focus on real estate companies for one of several sub-projects under “Stadens kontrollrum” initiative in Västerås. “Stadens kontrollrum” is a concept that brought together expertise from various fields of industry, research and government to create a platform that will aggregate data from different stakeholders and proposed services to achieve the goal of making Västerås a smart and sustainable city. Our project aims to extend “Stadens kontrollrum” platform in order to make it beneficial for real estate companies. In this case study, we applied expert driven methodology, i.e. with domain experts. A detailed literature review has been performed. We identified user requirements based on the information gathered during workshops with nine participants from real estate and utility companies; interviews with three experts from Mälarenergi. During the study, we identified that data visualisation, predictive maintenance and big data analysis for decision making are the main tools, among others, that should be applied to facilitate user needs. Based on user requirements, we have suggested an architecture of a module for the “Stadens kontrollrum” platform that includes those features. To verify feasibility of the solution, a prototype was built and evaluated with a group of four experts from Mälarenergi. The prototype is going to serve as a live demo in workshops and further discussions with the potential users later in the project. A full prototype of the solution is planned to be implemented in the next stage of the project.

Arbetet undersöker implementeringen av räddningstjänsten i urban plattform i två delar. Det ena delen syftar till att undersöka för att se på vilket sätt den urbana plattformen kan bidra till att utveckla räddningstjänstens verksamhet och på vilket sätt detta kan bidra till smartare städer. Detta studeras genom intervjuer med flera räddningstjänster och myndigheter kopplade till räddningstjänsten i Mälardalsregionen i Sverige. Flera områden inom räddningstjänsten har identifierats som skulle gynnas av en implementering i en urban plattform. Teorier kring smarta städer har kombinerats med de empiriska resultaten för att reflektera kring hur implementeringen av räddningstjänsten skulle bidra till smartare städer. Den andra delen syftar till att ge ett konkret exempel på hur en räddningstjänst kan brytas ned och modelleras för att implementeras i en potentiell urban plattform. I denna del utreds hur Mälardalens brand- och räddningsförbund (MBR) kan brytas ned och modelleras i ABBs styrsystem 800xA. Resultatet är tre strukturer som konkretiserar nedbrytningen och ger ett förslag på hur räddningstjänsten kan implementeras i en urban plattform. Det resoneras också kring hur denna nedbrytning bör förhålla sig till den större kontexten av en stad. / This study covers the implementation of fire departments in an urban platform in two parts. The purpose of first part is to examine how the urban platform can help developing the operation of fire departments and how this can contribute to a smart city. This is studied through interviews with different fire departments in the region of Mälardalen, Sweden, and an authority responsible for improving the society’s capabilities of managing emergencies. A number of areas within the fire departments, which an urban platform would improve, have been identified. Literature regarding smart cities have been combined with the empirical findings to discuss how the implementation of fire departments in an urban platform can contribute to a smart city. The purpose of the second part is to provide an example of how a fire department can be divided and modeled for an implementation in a potential urban platform. More precisely, the fire department Mälardalens brand- och räddningsförbund is investigated and modeled for an implementation in ABB’s control system 800xA. The result is three different structures that serve as the foundation for the model and a future implementation in an urban platform. In this part, it is also concluded that a necessary step to ensure an effective model is to relate the modelling to the greater context of a city.