Nyttjande av sensordata för optimerad lokalanvändning i högskolemiljö

Abstract

This bachelor’s thesis builds upon previous projects at Chalmers University of Technology with the goal of developing a tool to make occupancy statistics for room utilization in higher education environments accessible. The foundation was the existing system Find A Room, which measures room occupancy using sensors, but currently lacks a statistical tool for further analysis and optimization of space usage. The objective of the project has been to investigate how such a statistical tool can be designed for different target groups, as well as to highlight ethical and securityrelated aspects in the handling of occupancy data. A user analysis was conducted through a qualitative study in the form of interviews in conjunction with a review of results from previous projects’ needs assessments. User requirements were prioritized using methods such as MoSCoW and Analytic Hierarchy Process. This formed the basis for generating a concept and the selection of an API-based solution. The work resulted in a requirements specification, system architecture, and a functioning prototype in the form of a REST API. The prototype integrates occupancy data and lecture bookings. It visualizes the relationship between registered and actually attending students as well as the historical attendance per course occurence. The conclusion is that a modular API-based system provides a solid foundation for further development and integration into existing platforms. The work also identifies important ethical considerations such as anonymity, access control, and data security, and proposes guidelines for how these could be managed in future development