Post on 23-Dec-2015
Real time air pollution modeling and dissemination of location based
information using mobile devices
Azeez.P.A.1 and R. Mohanraj2
Research personals: Nishadh.K.A. and Aswathy .P.V1- Director, Sálim Ali Centre for Ornithology and Natural History, Anaikatty Post, Coimbatore-
641108, Tamil Nadu
2- Asst. Professor, Department of Environmental Management, Bharathidasan University, Tiruchirappalli - 620024, Tamil Nadu
2013- 2014
Current status on air pollution monitoring domain
Air pollution problem
Real time air pollution monitoring initiatives
Current focus on low cost sensors
Objectives1.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 Project1. Data collection and organization2. Data processing3. Data dissemination
OGC standards
ToolsData 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 visualizationGeoSMS Android app (on going)QualitySCHU (on going)
Data collection and organization: SOS for web pages
Weather Underground
API
TNAU WebPages
Selenium Script
With cron jobhtml pages
Scrapy with cron job
Mysql database
Python script to CSV
SOS importer SOS
Python Script with cron job
Json
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
Android App with
map
GeoSMS onclick
Mysql database
Python script to CSV
SOS importer SOS
Mobile particulate
monitor
Bluetooth Module
Android Tablet
Shenyi Dust
sensor
Arduino Server and Gammu
Dylos air quality monitor
Raspberry pi
GSM data card
Server and Gammu
Dylos air quality monitor and Raspberry pi single board computer
Dust sensor based Android Arduino mobile monitor
Data collection and organization: SOS for imageries
Filter image particulate
monitor
MODIS data repository
PyMODIS With cron job
Tiff imageriesMetadata
with image link
Mysql database
Python script to CSV
SOS importer SOS
Python Script with cron job
for Image capture
Image received by Server with
metadata and image link
Real time particulate matter monitor based on filter image analysis, design and prototype
Data processing: WPS for data filter and image analysis
SOS WPS R script
Data filter
Image analysis
52° WPS installation in the server
PyWPS installation in the server
GeoSMS Android app
Mobile atlas creator
Sqlite based offline map
Android appGeoSMS on
click
Air quality here app
QualitySCHU
Open Layer maps
SOS Point overlays WPS
QualitySCHU web map installation in the server
Thank you