Smart Campus Air Network (SCAN)
Project Description

Air pollution is one of the key health risks as identified by World Health Organization
(WHO) with various adverse health effects. In urban areas, people spend more than
80% of the daily time inside the buildings and indoor air quality becomes one major
contributor of population exposure risks. Meanwhile, for a metropolis like Hong Kong,
54% of total energy end use in Hong Kong is in the form of electricity while about 90%
of the electricity is consumed in building. Smart solutions for clean indoor air quality
and healthy building environment are of vital importance for future urban
sustainability.
Campus is a special community in which the students, staff and faculty spend vast
majority of time studying, working and living. Campus wide air quality information
would benefit the campus occupants to be environmentally conscious and encourage
them to be environment friendly, and it will also benefit the campus management to
be accurately informed in the building healthiness for sustainable operation. Although
the Hong Kong Environmental Protection Department operates city air quality
measurement stations streaming hourly Air Quality Health Index (AQHI), none of them
is close to clear water bay campus. This project aims to establish a smart air sensor
network in HKUST campus, also the first in Hong Kong, based on the cutting-edge
sensing technologies to monitor the critical environmental quality in real-time both
outside and indoor of different function rooms.

Supervisor
NING Zhi
Quota
4
Course type
UROP1000
UROP1100
Applicant's Roles

The UG students will participate in the interesting and novel sensor development, and campus wide sensor network deployment, seeking feedback and providing input for website development, and data analysis to solve campus indoor air quality problems.

Applicant's Learning Objectives

Understand the working principle of the low-cost sensors;
Produce an interactive air quality information platform for the campus community.

Complexity of the project
Moderate