Copyright © 2018 SaranyaKumar Chigurupati et al. This is an open access article distributed under the Creative Commons Attribution License,
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
International Journal of Engineering & Technology, 7 (2.7) (2018) 376-378
International Journal of Engineering & Technology
Website: www.sciencepubco.com/index.php/IJET
Research Paper
Intelligent vehicle pollution monitoring using IoT
Saranyakumar Chigurupati
1
, Ravi Teja Vallamsetti
1
, Yogesh Misra
1
*, Ragipati Karthik
1
1
Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation,
Vaddeswaram, Guntur, Andhra Pradesh, India – 522502
*Corresponding author E-mail: yogeshmisra@kluniversity.in
Abstract
The major source of air pollution is vehicles. The vehicular pollution is increasing day by day and smoke emission from Automobile is
causing pollution and also becoming hazardous to people health. An Arduino based prototype is developed to monitor and send the in-
formation about the pollution emitted by a vehicle to competent authority. Simultaneously, if the pollution level is high then the vehicle
ignition will automatically off by the system. IoT technology has made it possible to send the information about the pollution level in the
form of SMS.
Keywords: Automobile; Arduino; Gas Sensor; IoT; SMS.
1. Introduction
1.1. Concept orientation
The term "Internet of things" was defined by Kevin Ash- ton of
Procter & Gamble, later MIT's Auto-ID Center, in 1999 [1]. IoT
Technology has been improved with the services and infra- struc-
tures to provide the basic requirements in the towns. With the en-
hancing IoT technology we are equipping their device with Internet
of Things (IoT). IoT cuts crosswise over various applica- tion area
verticals extending from non-military personnel to barri- er seg-
ments. These areas incorporate horticulture, space, medici- nal ser-
vices, fabricating, development, water, and mining, which are by
and by changing their inheritance framework to help IoT. Today it
is conceivable to imagine inescapable network, stockpil- ing, and
calculation, which, thusly, offers ascend to building dis- tinctive
IoT arrangements. IoT-based applications, for example, inventive
shopping framework, foundation administration in both urban and
country regions, remote well-being observing and crisis notice
frameworks, and transportation frameworks, are bit by bit depend-
ing on IoT based frameworks. Along these lines, it is es- sential to
take in the basics of this developing innovation [2].
1.2. Motivations
Air contamination happens when hurtful pollutants and natural par-
ticles are brought into earth's environment. It may cause sever- al
disorders in humans. It also causes harm to other living things on
the earth like animals, crops and may spoil the natural calami- ties.
Some of regular procedures and human exercises can create con-
tamination noticeable all around and other normal assets like wa-
ter...etc.
The real wellspring of air contamination is vehicles. There are 57.
53 lakhs of Motor vehicles in various classifications in Andhra Pra-
desh province of India. The vehicular contamination is expanding
step by step and smoke discharge from Automobile is causing con-
tamination and furthermore getting to be risky to individual health.
The aggregate vehicular contamination stack (VPL) in twin urban
areas of Hyderabad and Secunderabad alone is 1500 T/day. Differ-
ent toxins discharged into environment are definite beneath in
TableI [3]. Contamination stacked by various classes of vehicles is
said beneath Table 2.
The contamination benchmarks for vehicles have been specified un-
der control 115(2). This is of Central Motor Vehicles Rules in 1989
and given in Table 3 [4]. The oil retailers introduced the BS- IV
Norms [5] in India in April 2017.
Table 1: Different Types of Pollutants Released from Vehicles [3]
CO Content 61.4%
HC Content 34.00%
NOx Content 3.85%
SO2 Content 0.54%
SPM Content 0.18%
Lead Content 0.023%
Table 2: Pollution Loaded by Several Kinds of Vehicles [3]
Two Wheeled 56.2%
Three Wheeled 34.00%
Four Wheeled Petrol 12.00%
Four Wheeled Diesel 2.00%
By Trucks 18.85%
By Buses 1.54%
Others 0.26%
Table 3: Pollution Standards of Vehicles [4]
Vehicle Type CO % HC [ppm]
2&3-Wheelersbefore 31/3/2000) 4.5 9000
2&3-Wheelers after 31/3/2000) 3.5 6000
2&3-Wheelers after 31/3/2000) 3.5 4500
4- wheelers as per pre BS- II 3.0 1500
4- wheelers as per pre BS- II 0.5 750