A Novel Approach to Implement Self-Controlled Air Pollution Detection in Vehicles using Smoke Sensor
 |
International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2014 by IJETT Journal | ||
| Volume-16 Number-6 |
||
| Year of Publication : 2014 | ||
| Authors : V V R Kishore Ch , Suman M |
||
 10.14445/22315381/IJETT-V16P252 |
Citation
V V R Kishore Ch , Suman M. "A Novel Approach to Implement Self-Controlled Air Pollution Detection in Vehicles using Smoke Sensor", International Journal of Engineering Trends and Technology (IJETT), V16(6),263-267 Oct 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
vehicles became important in human life. This air pollution mainly caused by vehicles and industries. This paper mainly concentrated on controlling the air pollution from vehicles by using semi-conductor gas sensor for detecting the emission level from vehicles. If the vehicle do not get service regularly, then pollution level higher than standard emission level. In this paper, smoke sensor has been used to detect carbon monoxide from vehicles. Smoke sensor senses the pollution level from vehicles. If pollution level is recorded beyond the standard values from government, then microcontroller alerts the buzzer and displays pollution level on LCD. Microcontroller also sends pollution level to service centre through text message by GSM module. At the same time, activate the timer that indicates vehicle will be stopped after some time. During this time, GPS finds the location of vehicle in terms of latitude and longitude values and displays on LCD. GSM send GPS values to service centre through text message. When timer expires, vehicle will be stopped due to the fuel supply to engine get stop by relay circuit is controlled by microcontroller. Based on GPS values, service centre can trace and service the vehicle. The proposed system must be registered with service centre by sending text message. This paper will benefit to the society and help in controlling the air pollution.
References
[1] http://en.wikipedia.org/wiki/Bharat_Stage_emission_standards
[2] http://www.cpcb.nic.in/Introduction.php
[3] http://en.wikipedia.org/wiki/Emission_standard
[4] Siva Shankar Chandrasekaran, Sudharshan Muthukumar and Sabeshkumar Rajendran, ”Automated Control System for Air Pollution Detection in Vehicles” 2013 4th International Conference on Intelligent Systems, Modelling And Simulation.
[5] George F. Fine, Leon M. Cavanagh, Ayo Afonja and Russell Binions, “Metal Oxide Semi-Conductor Gas Sensors in Enviromental Monitoring”, Sensors 2010, 10, 5469-5502: doi:10.3390/s100605469.
[6] K. Galatsis, W. Wlodarsla, K.Kalantar-Zedeh and A. Trinchi, “Investigation of gas sensors for vehicle cabin air quality monitoring,” vol.42,pp. 167-175, 2002.
[7] “Trade of Motor Mechanic”; Module 5; Unit 2 Electronic Fuel Injection; Phase 2 by FAS Learning Innovation Unit with Martin Mcmahon & CDX Global; Curriculum Revision 2.2 16-01-07.
[8] LIU Zhen_ya, Wang Zhen-dong, CHEN Rong, ” Intelligent Residential Security Alarm and Remote Control System Based On Single Chip Computer,” vol. 42, pp. 143-166, 2008.
[9] P.Vijnatha Raju, R.V.R.S.Aravind, B.Sangeeth Kumar, “Pollution Monitoring System Using Wireless Sensor Network In Visakhapatnam”, IJETT, Volume4, Issue4, April-2013.
[10] G.Anuradha, “Self Automated Tool in Vehicular System That Identifies the Air Pollution and the Future of E-Governs”, IJIES, Volume, Iissue12, November 2013
[11] Anita Kulkarni, Ravi Teja, ”Automated System for Air Pollution Detection and Control in Vehicles”, IJAREEIE, vol 3, issue 9, September 2014.
[12] Amarakanth, N.V.Uma Reddy, “Engine Self-Test With Air Pollution Detection and Remote Information System”, IJRET, Vol 3, Special Issue 3 May-2014.
[13] “Smart Sensor Networks: Technologies and Application for Green Growth”, OECD, 2009.
[14] www.pololu.com/file/0J309/MQ2.pdf
[15] http://en.wikipedia.org/wiki/Global_Positioning_System
[16] http://en.wikipedia.org/wiki/GSM
[17] http://www.askindiatech.com/Dpdf/LPC2148%20Feature%20List,pdf
Keywords
Air Pollution, Sensors, Standard Level, GPS, GSM, LPC2148 Microcontroller.