Develop of a proof of concept for the utilization of data for an optimal and controllable indoor environment at the DTU Library Living Lab

Master thesis by Jørgen Falch Waarsøe, December 2016

Abstract – The library at DTU has a vision of improving the indoor climate by making the library more intelligent and by turning the entire library into a living lab. Researchers and students should be able to use the living lab to conduct ex-periments that can lead to a improved indoor climate in the library. The first phase in turning the library into a living lab involves removing all the lamps and replacing them with LEDs. While replacing the lamps the library will also install sensors that can be used as a part of the living lab. The DTU library is now looking for ideas to how the new lighting system and sensors can be an integrated part of the living lab.

This thesis is about developing a software system, which can help the living lab improve to the indoor climate, by taking advantage of the new LED lamps in the library. The system developed consists of an automation system and a smartphone app. The automation system can be configured by users of the living lab users to take input from sensors and adjust the lighting accordingly. The smartphone app is used by the library guests to adjust the lighting decided by the automation system.

The tests made showed that the software is working as intended and that it can be a useful tool for conducting experiments. However the initial tests show that an automated lighting system can be very distracting. Therefore it is important that users can override the automation system.

Supervisor: (Al)Fred Heller, DTU Civil Engineering, Denmark.

The thesis download version: thesis_s103801

 

Proposal: Smart City – Data Repositories

Within the smart cities research, data from any kind of source are key for the modelling and understanding of the overall systems. Hence we have to collect data in masses.

Under the CITIES project and others, a data repository is to be developed during autumn 2014. For this purpose, we can define a number of project that can include parts of e.g.:

• hard-core computer programing and architecture
• data base design
• data repository design
• metadata design and handling
• data management at any stage
• data collection from public and private sources
• data correlation and analysis
• and much much more.

The project is on the one hand related to software solution companies, public and private, and will involve numerous organization with available data.

In the very near future, smart cities project will deliver data as we build the necessary monitoring infrastructures – also a lot of opportunities in this related subject.