Thesis2017
Data Driven Optimisation and Evaluation of Indoor Sensor Locations
Authors: Christian Speedtsberg Dahl, Sebastian Breuer
Supervisor: Christian Fischer Pedersen, Associate Professor at Aarhus University
Aarhus University, Department of Engineering, Section of Electrical and Computer Engineering
Introduction
This wiki contains videos belonging to the master thesis, "Data Driven Optimisation and Evaluation of Indoor Sensor Locations ", and showcase the data acquisition that was part of this thesis. In the videos the Segway robot, Loomo, is used to collect measurements around a building. These measurements include CO2, temperature, humidity, and pressure and are collected using a sensor kit, which can be seen on the videos below.
Blueprint of the Case Building
The above image is the blueprint of the case building ground floor (orientation remark: North = Right side). The green line is the path that was taken by Loomo during measurement laps.
Videos of Data Collection
The videos below have been taken during a single measurement lap, where Loomo was driven through the case buildings ground floor. Although Loomo was remote controlled in the videos below, they give an impression of how measurements could be taken if Loomo was able to drive autonomously.