Transcript Slide 1

Real time air pollution modeling and
dissemination of location based
information using mobile devices
2013- 2014
Azeez.P.A.1 and R. Mohanraj2
Research personals: Nishadh.K.A. and Aswathy .P.V
1- Director, Sálim Ali Centre for Ornithology and Natural History, Anaikatty Post, Coimbatore641108,
Tamil Nadu
2- Asst. Professor, Department of Environmental Management, Bharathidasan University,
Tiruchirappalli - 620024, Tamil Nadu
Current status on air pollution monitoring
domain
Air pollution problem
Real time air pollution monitoring initiatives
Current focus on low cost sensors
Objectives
1. Develop Sensor Observation Service (SOS) for spatially distributed air
quality sensors and real time meteorological data website.
2. Develop real time air quality modeling web processing service using the SOS,
validate and compare it with similar other models.
3. Develop a Geo-SMS based android application to disseminate the modeling
result.
The Project
1. Data collection and organization
2. Data processing
3. Data dissemination
OGC standards
Tools
Data collection and organization
SOS for web pages (on going)
SOS for sensors in GSM mode (on going)
SOS for imageries
Data processing
WPS for data filter and image analysis
Data dissemination: query and visualization
GeoSMS Android app (on going)
QualitySCHU (on going)
Data collection and organization: SOS for web pages
TNAU
WebPages
Selenium Script
With cron job
Mysql database
Weather
Underground
API
Python Script
with cron job
html pages
Scrapy with cron
job
Python script to
CSV
Json
SOS importer
SOS
Tamil Nadu Agriculture Weather
Network (TAWN) website and location
of AWS stations in Coimbatore districts
Scrapy spider code
Data collection and organization: SOS for sensors in GSM mode
Mobile particulate
monitor
Shenyi Dust
sensor
Arduino
Android App
with map
GeoSMS
onclick
Server and
Gammu
Bluetooth
Module
Android
Tablet
Mysql database
Python script to
CSV
SOS importer
SOS
Dylos air quality
monitor
Server and
Gammu
Raspberry pi
GSM data
card
Dylos air quality monitor and Raspberry pi single board
computer
Dust sensor based Android Arduino mobile monitor
Data collection and organization: SOS for imageries
MODIS data
repository
PyMODIS With
cron job
Mysql database
Filter image
particulate
monitor
Python Script
with cron job for
Image capture
Tiff imageries
Metadata with
image link
Python script to
CSV
Image received
by Server with
metadata and
image link
SOS importer
SOS
Real time particulate matter monitor based on filter image analysis, design
and prototype
Data processing: WPS for data filter and image analysis
Data filter
SOS
WPS
R script
Image analysis
52° WPS installation in the server
PyWPS installation in the server
GeoSMS Android app
Mobile atlas
creator
Sqlite based
offline map
Android app
GeoSMS on click
Air quality here app
QualitySCHU
Open Layer
maps
SOS
Point overlays
WPS
QualitySCHU web map installation in the server
Thank you