UAV infrastructures for smart cities

Smart Cities benefit from employing large systems of information and quantifying it for daily use. By doing so, the standard of living of an individual stands to rise as well as efficiency of a Smart Nation connected by a central information stream would rise as a whole.. Singpaore seeks to enter...

Full description

Saved in:
Bibliographic Details
Main Author: Viknesh, G. S.
Other Authors: Li King Ho Holden
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/68121
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary:Smart Cities benefit from employing large systems of information and quantifying it for daily use. By doing so, the standard of living of an individual stands to rise as well as efficiency of a Smart Nation connected by a central information stream would rise as a whole.. Singpaore seeks to enter this field and wants to become a Smart Nation which aids the average citizen gain real time information at their fingertips using infocomm technologies. With the onset of drone technology and how pervasive they can be, it was only natural to look into employing drones to contribute to the Smart City. With more drones coming up, it’s important to look into how the drone can be successfully weaved into the Smart City concept with respect to Singapore. It is projected that the drone will be employed in the heartland areas and to operate from the rooftops of HDB Buildings. Hence this paper seeks to identify the requirements with respect to necessary infrastructure needed to support such drone missions. By doing so and coming up with the design requirements, through the use of design processes, concepts will be designed and a final design is to be generated. After which the design will enter the prototype stage to satisfy the requirements of the drone such as charging and shelter. The prototyping stage will undergo a series of tests, which would then allow the designer to learn from the limitations of the drone and infrastructure and suggest recommendations for future efforts.