Indoor positioning using BLE technology

The goal of the thesis was to create an indoor positioning system. Most of the current solutions are based on a device, which listens for nearby beacons with static positions. The device then tries to calculate its own position based on received signal strengths. I took a different approach to solve the problem. It works with multiple static listeners which transmit received signal strengths of nearby devices to central hub. Central hub then aggregates the data and tries to calculate the position of the device. First part of the thesis introduces the field of usage of such systems, while the second one describes the design and architecture of the system. Last part presents the results of its performance in the real world

Extending BIM for air quality monitoring

As we spend more than 90% of our time inside buildings, indoor environmental quality is a major concern for healthy living. Recent studies show that almost 80% of people in European countries and the United States suffer from SBS (Sick Building Syndrome), which affects physical health, productivity and psychological well-being. In this context, environmental quality monitoring provides stakeholders with crucial information about indoor living conditions, thus facilitating building management along its lifecycle, from design, construction and commissioning to usage, maintenance and end-of-life. However, currently available modelling tools for building management remain limited to static models and lack integration capacities to efficiently exploit environmental quality monitoring data. In order to overcome these limitations, we designed and implemented a generic software architecture that relies on accessible Building Information Model (BIM) attributes to add a dynamic layer that integrates environmental quality data coming from deployed sensors. Merging sensor data with BIM allows creation of a digital twin for the monitored building where live information about environmental quality enables evaluation through numerical simulation. Our solution allows accessing and displaying live sensor data, thus providing advanced functionality to the end-user and other systems in the building. In order to preserve genericity and separation of concerns, our solution stores sensor data in a separate database available through an application programming interface (API), which decouples BIM models from sensor data. Our proof-of-concept experiments were conducted with a cultural heritage building located in Bled, Slovenia. We demonstrated that it is possible to display live information regarding environmental quality (temperature, relative humidity, CO2, particle matter, light) using Revit as an example, thus enabling end-users to follow the conditions of their living environment and take appropriate measures to improve its quality.Pages 244-250

Indoor positioning using BLE technology

Cilj diplomskega dela je bil izdelati sistem za pozicioniranje naprav v zaprtih prostorih. Večina že obstoječih sistemov deluje tako, da naprava, ki se ji določa lokacijo, posluša statične žolne v prostoru in si nato sama določi svojo pozicijo glede na prejete moči signalov. Sistem, ki sem ga implementiral, deluje na drugačen način. Problem rešuje s pomočjo statičnih sprejemnikov, ki poslušajo naprave v njihovi bližini, katerim določamo pozicijo. V prvem delu naloge so predstavljeni raziskava področja in možni pristopi k reševanju problema, v drugem delu pa sta opisani zasnova in arhitektura implementirane rešitve. Na koncu je predstavljeno delovanje sistema v realnem svetu. Rešitev je primerna za uporabo na področju sledenja sredstev, pri nadzoru gibanja oseb in pri razvoju pametnih hiš.The goal of the thesis was to create an indoor positioning system. Most of the current solutions are based on a device, which listens for nearby beacons with static positions. The device then tries to calculate its own position based on received signal strengths. I took a different approach to solve the problem. It works with multiple static listeners which transmit received signal strengths of nearby devices to central hub. Central hub then aggregates the data and tries to calculate the position of the device. First part of the thesis introduces the field of usage of such systems, while the second one describes the design and architecture of the system. Last part presents the results of its performance in the real world

Indoor positioning using BLE technology

The goal of the thesis was to create an indoor positioning system. Most of the current solutions are based on a device, which listens for nearby beacons with static positions. The device then tries to calculate its own position based on received signal strengths. I took a different approach to solve the problem. It works with multiple static listeners which transmit received signal strengths of nearby devices to central hub. Central hub then aggregates the data and tries to calculate the position of the device. First part of the thesis introduces the field of usage of such systems, while the second one describes the design and architecture of the system. Last part presents the results of its performance in the real world