International Journal of Emerging Technology and Advanced Engineering
Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 5, Issue 9, September 2015)
Geo-Sensor for Industrial Environmental Pollution Monitoring
Khairnar Vruchali1, Deokar Shubhangi2, Jadhav Namrata3, Autade Priti4
1,2,3,4
Department of Computer Engineering, SND College of Engineering & Research Centre, Yeola.
Guided By: Prof. Chandgude A.S
Department of Computer Engineering, SND College of Engineering & Research Centre, Yeola.
Abstract—In today’s life air pollution is caused due to
many different factors. Which in turn is a crucial
environmental problem related to health of all the living
beings. To make the environment free from pollution we
require a pollution monitoring system which can monitor
various aspects in the environment which cause pollution.
Industries are the main source of generation of air as well as
water pollution in tremendous amount in the form of various
toxic gases or chemicals. In order to prevent this pollution due
to industries we are implementing a pollution monitoring
system using geo sensor network. It provides a model which is
use for sensing the amount of air pollution. System also
provides alert notification for taking actions against pollution
problem. The status of Pollution is found by measuring
amount of CO2, NO2 and SO2 in air. The above model also
provides safety guidelines and alarm facility. We are going to
implement a system which will monitor the pollution in real
time.
A geo-sensor network is defined as a distributed ad-hoc
wireless network of sensors. This system will provide an
alarm and security guidelines for the situation which can
occur in future which may be harmful because preventing
the situation before it gets more dangerous is always good.
By taking preventive measures it may avoid severe
destruction and also cost required to recover it. With the
help of this system we can also sense the environmental
pollution of a remote place.
II. LITERATURE SURVEY
In the recent decade, various technology trends have
emerged in the field of geosciences in effective ways. One
of them is the readily available technology of wireless
communication networks and advancements in the
development of low-power, short-range radio-based
communication networks, and the development of new
micro-sensors and sensor materials.
Another important aspect is the real-time data delivery
of new platforms. In existing systems the pollution in
industries is monitored by using audit system i.e. the audit
is carried out after every 2 to 3 months, but this cannot
provide the real time statistics for everyday pollution.
Hence, we proposed a system which will automatically
captures the amount of pollution in air with the help of
sensors in absolute real-time manner.
For pollution free environment and to monitor the
environmental phenomena, this system uses Environment
Observation and Forecasting System (EOFS). It provides a
context model which is used for understanding status of
pollution in air. The acquisition policy is provided to the
system which will contain the corporate actions against the
problem of pollution. Pollution status is calculated by
measuring amount of SO2, CO2 and NO2 in air.
Depending upon the conditions of context model it will
provide safety guidelines and alarm facility. The flexible
sampling interval is also provided by the system.
Keywords—Air pollution monitoring, smoke sensor,
wireless sensor network, web, database, real time monitoring
I. INTRODUCTION
This paper presents the development carried out of a real
time monitoring system for industrial pollution and its
associated analysis techniques. The idea is to use Geosensors to measure the air pollution in industry by
measuring the amount of gases present in the air. The data
collected through these geo-sensors is transmitted to a
central repository where that data is analyzed by using
several analysis tools. Further we can also store the data in
cloud storage.
The existing system uses the different instruments for
monitoring air pollution i.e. Fourier Transform Infrared
(FTIR)instruments, gas chromatographs, and mass
spectrometers.The Size and maintenance of these
instruments is higher for monitoring applications on the
large scale. This geo-sensor network is mainly designed for
measuring the data which is related to location specific
information.
298
International Journal of Emerging Technology and Advanced Engineering
Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 5, Issue 9, September 2015)
The interval is changed as per the context model
pollution condition. It is also used for saving batteries of
geo-sensors.[2]
It implemented a Delay Tolerant Based mobile sensing
network (DTN) for monitoring micro-climates in Sonoma
country called SoNET. The network utilized distributed
nodes with heterogeneous sensing capacity to create a rich
collection of ecological data about climatic variations in the
country using ZigBee communication.[4]
It has developed a near-real-time monitoring system for
urban pollution in case of toxic gases exerted by vehicles.
But this system was able of sensing only one kind of
pollutant and was tested in an ordinary car. Also it
integrated new algorithms for processing the stored
pollution data using Google Maps API.[6]
It survey’s the field of Geo-sensor networks, and mainly
focus on the technology of small-scale geo- sensor
networks, applications and their feasibility and lessons
learnt. Furthermore, the objective is to investigate how this
technology can be embedded in the current landscape of
intelligent sensor platforms in the geosciences and it also
identifies its place and purpose.[7]
This system implements wireless sensor network for
environmental monitoring, which collects the observed data
over time across a significant internal variation. It contains
a context model and flexible data acquisition policy.[8]
1. Start application for detecting smoke (i.e. Measure
amount of smoke as input)
2. Check the sensor properly works or not
If (working = proper)
Then
{
Input accepted from sensor
}
Else
{
generate error message
}
3. Store the current smoke value in one of the temporary
variable temperature
4. Check the current value of smoke with the threshold
value decided by company
5. If current value of smoke is less than company threshold
value
Then send the current smoke value in the server
III. PROPOSED SYSTEM
A. System Flow
System flow defines complete working of the air
pollution monitoring system. The figure shows detailed
flow of system which detects air pollution by using geosensor. The sensor present in system sense the various
hazardous gases present in air like NO2, CO2 and SO2 etc.
and it also keeps record of those gases for finding the
pollution and sensed data. All this data of generated gases
are stored into the database and then compare values of
those gases with existing record. If the current value is less
than the stored value then it will pass value to the database
and if the value is greater than threshold value then it will
send an alert message to the Municipal Pollution Control
Board and Company owner also.
If (air pollution>=limit)
{
Alert = authority + government;
}
Else
{
Check (air pollution limit);
Time (1 min);
B. Algorithm
This algorithm tells us how the pollution is produced by
industrial smoke and what is the actual amount of gases
like SO2, CO2, NO2 etc. which is hazardous for human
health.
}
Else if (smoke value> than threshold value)
Then
299
International Journal of Emerging Technology and Advanced Engineering
Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 5, Issue 9, September 2015)
This collected information is stored in the local database
as well as in cloud also that system checks whether that
sensed information exceeds the limit which is already
specified by the government or Air Pollution Control
Board.
If this limit is crossed then it will generate an alert to the
industry manager. But if the rules are being violated for
more than one time then it will send notification to the Air
Pollution Control Board. The Air Pollution Control Board
has right to take a strict action on that particular industry.
This system also includes web-app which displays all the
statistics of sensor data. Anyone can view this data by
visiting the webpage.
{
generate alert and SMS to MPCB Admin department
}
6. Stop
IV. SYSTEM ARCHITECTURE
V. CONCLUSION
Hence we have proposed the system whose main
purpose is to sense pollution present in air in real time
approach. Mostly this application is will be used in
industries to monitor and control the pollution. For finding
the pollutants system supports context model. It mainly
determines amount of gases like SO2, NO2 and CO2
present in air. This measured amount of gases is compared
with predefined threshold value. If it is greater than the
threshold, an alert message is generated otherwise it is
stored in database system as well as on the cloud. The
system reduces recovery cost and severe damage
REFERENCES
Fig: Air Pollution Monitoring System Architecture
[1]
The proposed system will receive the measured data
from sensor and provide the useful information for users by
understanding the extent of air pollution for that industry.
This information includes the measurement of toxic or
harmful gases present in the air which can lead to adverse
effects on human health as well as agricultural field.
The proposed monitoring system structure is based on
the framework for the purpose of context awareness. For
controlling and monitoring the geo-sensor and air pollution,
it will use two different systems i.e. air pollution
monitoring system and sensor control system. This air
pollution monitoring system will support the sensor data
abstraction and air pollution prevention models for
studying the pollution level and the control system will
support the operators which will control sensor such as
status check and sampling interval change.
For this a geo-sensor, especially smoke sensor is
implanted in industry. The function of smoke sensor is to
capture the current real time status of pollution in air.
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