19_Bigdasdsadsadsadasdasddsadsd Data.pdf

Big Data – Application of Environmental Sensors
for Building and Sustainable Environment
Dr. Zhi Ning
Deputy Director, Guy Carpenter Climate Change Centre
Assistant Professor, School of Energy and Environment
City University of Hong Kong
EMSD Summit 2016 Innovate HK

2
School of Energy and Environment, City University of Hong Kong
Introduction

3
Introduction
 Sensor based Internet of Things as a solution for air
pollution and smart city application

4
Issues with current practice
 High interest by public for more personalized info and by
industry/government for more connected solutions as IoT
Traditional monitoring equipment
• High price and maintenance cost;
• High precision but requires professionals.
“Professional "sensors
Lower cost but small, compact, easy for deployment;
Less precision but good performance in certain range.
Consumer grade sensors
• Cheap and small for personal and family usage;
• Indication purpose, not scientifically reliable.

5
Emerging technologies
 Development of new materials
 Advancement in MEMS
 Nanotechnologies
 More powerful computing in small size
 Lighter, smaller and cheaper
 Easy installation roadside to form network
 Portable for easy application
 Professional sensing technology
 NO，NO2，O3，CO，SO2 ,CO2 and PM2.5/PM10
 Benzene, VOC and others;

6
Emerging technologies
Patents : PWG/PA/357/10/2013 (PRC,
US); PWG/PA/302/7/2012 (PRC).
 Dispersive infrared absorption spectroscopy (DIRS)
for greenhouse gas (CO2) measurement
MEMS Febry-Perot
Interferometer
• 3900-5000 nm
• 10 nm resolution
• 8 seconds per scan
• +/- 0.8 ppm for 5 mins avg
6
If you have any questions, please contact Dr. Zhi Ning at zhining@cityu.edu.hk

7
A paradigm shift in environmental sensing
“citizens’ observatories” to empower
citizens to contribute to and participate in
environmental governance,

8
Energy and environment applications
Mobile
Outdoor
Indoor Personal
Fixed site
Roadside
network
I o T
I : How to connect things and
augment their impact to server energy
and environmental applications;
T: How to sense the environment
more accurately and in smaller size.

9
Next generation sensor R&D
 Flow chart of system development
Sensor
selection
Sensor
tests
System
design
Circuit
design
OEM
System
integration
System
tests

10
Sensor test in lab
 Specific test processes
– Precision & linearity
– Test limits
– Long term drift
– Temperature and RH
– Comparisons with
standard equipment
20 22 00 02 04 06 08 10
15
20
25
30
35
Sensor_Temp
Adj_CO_Diff_1
CO_step_V (mV)
Time
-100
-50
0
50
100
150

11
2015 HONG KONG INTERNATIONAL
GREEN MARATHON AIR NETWORK

12
Marathon and athlete health
 Athletes are more sensitive to the surrounding
environment;
 Air quality is a major concern of the media and
public;
 Lack of information creates health concern among
participants.

13
2015 SC Green Marathon network
 On the day of Marathon

14

15

16
0.4
0.6
0.8
1
1.2
3:07 4:19 5:31 6:43 7:55 9:07 10:19 11:31 12:43
CO/
ppm
TST CO
TST CO
 Traffic control is
effective to keep air
pollution levels low
before and during the
race
 After lifting traffic
control a clear
difference is shown in
the roadside.
0
100
200
300
400
500
NO
/ppb
TST NO
NOx Concentration
before/after traffic control
Passing-by motorcycles
created spikes of CO

17
Campus network in CityU
 Indoor and outdoor monitoring with cloud display
• Temp/RH
• CO2
• PM2.5
• NO/NO2
• TVOC
• Formaldehyde
• Wifi/GSM/Zigbee
• Ethernet

18
Network data for energy usage
 Ventilation and air conditioning system diagnostics
0
500
1000
1500
2000
2500
1 2 3 4 5 6
Carbon
dioxide
(PPM)
Day
week 1 week 2
26.5
27
27.5
28
28.5
29
29.5
0
200
400
600
800
1000
1200
1400
1600
1800
2000
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
temperature
(C)
carbon
dioixde
(ppm)
Hour
LT13_CO2
LT13_TEMP

19
19
• Bus mobile sensor platform
• Compact and multipollutant
solutions for PM2.5,NO2，
SO2,CO2 (traffic pollutants)
• GPS, traffic speed, OBD data
synchronization and real time
transmission
Internal external
Bus platform for sensor network

20
Kowloon Tong to HK island
Causeway Bay
to Yuen Long
• Real time pollution map from two
routes
• Roadway network emission and
air quality modelling；
• Hotspot identification and
evidence based policy making

21
 Traffic data analysis
combined analysis
 Certain streets have
different “pollutability”
with street canyons,
urban design features
 Local transport policy
will be cost effective:
Impact of low emission
zone?
21
Bar: traffic volume; Line: Pollutant

22
OGV ship emission and port area air quality

23
UAV based sensing platform
 Carbon balance for ship emissions
 Vertical profiling
Path
Radio
Path and command
USB cable, SDK
Path and command
Programming
Data
UART
Wi-Fi
Data

24
OGV ship emission and port area air quality
 Will low sulfur fuel switch improve port and
area air quality? And how much?
SO2, NO2, PM2.5?
 Is there any enforcement or evaluation tool
for such policy implementation?

25
Development of Personal Exposure Kit (PEK)
 Personalized air quality
 Avoid health issues for susceptible population

26
Personal health indicator
– PM sensor and NO2 sensor
– 3-axis accelerometer, noise sensor, light sensor
– Temp/RH sensor
– Encrypted Q-R code for online survey

27
Personalized exposure assessment

28
Hong Kong Technology
From local significance to global impact.
CityU sensors
We contribute to the preservation of
the World Heritage
Leonardo Da Vinci’s Last Supper in
Milan, Italy

29
Ending remark
 Internet of Things is powerful concept
 Huge potential for application in smart city,
energy, environment;
 Development of the sensing technology as
data source input for IoT;
 Environmental and energy applications.
Thanks!

19_Bigdasdsadsadsadasdasddsadsd Data.pdf

Recommended

Recommended

More Related Content

Similar to 19_Bigdasdsadsadsadasdasddsadsd Data.pdf

Similar to 19_Bigdasdsadsadsadasdasddsadsd Data.pdf (20)

Recently uploaded

Recently uploaded (20)

19_Bigdasdsadsadsadasdasddsadsd Data.pdf