Building Information Modelling : Indoor Localization

• Main Author: Khadka, Jeewan
• Format: Master Thesis
• Language: English
• Published: UiT Norges arktiske universitet 2021
• Subjects: BIM; IoT; Indoor Localization; Visualization; Facility management; Indoor positioning; Navisworks API; VDP::Technology: 500::Building technology: 530; VDP::Teknologi: 500::Bygningsfag: 530; VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation; signal processing; image processing: 429; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering; visualisering; signalbehandling; bildeanalyse: 429; INE-3900; Narvik
• Online Access: https://hdl.handle.net/10037/23366

This thesis presents an integrated system where BIM software is used together with IoT devices to visualize data generated in real-time. Two different IoT devices are modelled as case study that collect environmental and localization data. These devices were installed inside a Test room of an area approx. 22 m2 in UiT Narvik premises . The collected data were, filtered & transferred to database server which were then retrieved and visualized by BIM software in real time. The report presents tools and technologies that are implemented to develop such system and provides details on basic blocks required for such integrations. The combined platform visualize information about the things as it happens in real-time. This makes such systems capable for digitalization of physical process and have various application domains. In the report it is applied as monitoring platform for temperature and illumination data and can be used for facility management applications. Similarly, indoor localization is monitored making it applicable for localization and safety management purpose. The performance of the system is also discussed based on test, observations, and calculations