Big Data Application of Environmental Sensors for Building and Sustainable Environment. EMSD Summit 2016 Innovate HK

Transcription

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

2 Introduction 2

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

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. 4

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,NO 2,O 3,CO,SO 2, CO 2 and PM 2.5 /PM 10 Benzene, VOC and others; 5

6 Emerging technologies Dispersive infrared absorption spectroscopy (DIRS) for greenhouse gas (CO 2 ) measurement MEMS Febry-Perot Interferometer nm 10 nm resolution 8 seconds per scan +/- 0.8 ppm for 5 mins avg Patents : PWG/PA/357/10/2013 (PRC, US); PWG/PA/302/7/2012 (PRC). If you have any questions, please contact Dr. Zhi Ning at zhining@cityu.edu.hk 6 6

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

8 Energy and environment applications 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. Indoor Mobile Outdoor Personal Fixed site Roadside network 8

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

10 Sensor test in lab Specific test processes Precision & linearity Test limits Long term drift Temperature and RH Comparisons with standard equipment School of Energy and Environment, City University of Hong TimeKong Sensor_Temp Adj_CO_Diff_1 CO_step_V (mv)

11 2015 HONG KONG INTERNATIONAL GREEN MARATHON AIR NETWORK 11

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. 12

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

14 2015 SC Green Marathon network 14

15 2015 SC Green Marathon network 15

16 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. NO /ppb CO/ ppm NOx Concentration before/after traffic control Passing-by motorcycles created spikes of CO TST CO TST NO School of Energy and Environment, 0.4 City University of Hong Kong TST CO 16 3:07 4:19 5:31 6:43 7:55 9:07 10:19 11:31 12:43

17 Campus network in CityU Indoor and outdoor monitoring with cloud display Temp/RH CO 2 PM2.5 NO/NO 2 TVOC Formaldehyde Wifi/GSM/Zigbee Ethernet 17

18 Network data for energy usage Ventilation and air conditioning system diagnostics Carbon dioxide (PPM) carbon dioixde (ppm) week 1 week Day LT13_CO LT13_TEMP Hour temperature (C) 18

19 Bus platform for sensor network Bus mobile sensor platform Compact and multipollutant solutions for PM 2.5,NO 2, SO 2,CO 2 (traffic pollutants) GPS, traffic speed, OBD data synchronization and real time transmission School of Energy and Environment, Internal City University externalof Hong 19 Kong 19

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

21 Bus platform for sensor network 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? Bar: traffic volume; Line: Pollutant 21 21

22 OGV ship emission and port area air quality 22

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

24 OGV ship emission and port area air quality Will low sulfur fuel switch improve port and area air quality? And how much? SO 2, NO 2, PM 2.5? Is there any enforcement or evaluation tool for such policy implementation? 24

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

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 26

27 Personalized exposure assessment 27

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

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! 29