Indoor Air Quality Measurement and Uploading the Data over Web
V.V.L. PAVANKUMAR , Mrs. R. BHAKKIYALAKSHMI
This paper presents a system which is used to acquire the information related to particular area such as an indoor air quality measurement with the help of a sensor network, a processing unit and the provision of internet using a router. Primary aim is to provide a system of lower cost and reliable sensors providing information in order to perform continuous monitoring of air quality of air so as to indicate the factors that might cause asthma attack. System consists of a sensors which has the ability to measure the various environmental parameters such as humidity, carbon monoxide, temperature and will send the measured data to a processing unit and thereby over to the web with the help of a router. A software implication includes a client side application which is used to upload the measured information to the server with the help of internet. Raspberry pi is used as a processing unit which primarily processes the data coming from various sensors thereby it can be used to define the various alarm points. So this system acts as a HMI (human machine interface).
Air quality measurement, raspberry pi, sensor network, web based information.
 O. Postolache, J M. D. Pereira, P. Girao, "Smart Sensors Network for Air Quality Monitoring Applications", IEEE Transactions on Instrumentation and Measurement, Vol.58, Issue 9, pp. 3253-3262, 2009
 A. H. Lockwood, K. W.-Hood, M. Rauch, B. Gottlieb, “Coal’s Assault on Human Health” A Report From Physicians For Social Responsibility, on-line at: http://www.psr.org/assets/pdfs/psrcoalfullreport.pdf, 2009
 Liu Jen-Hao, Lin Tzu-Shiang, Lai Da-Wei, "Developed Urban Air Quality Monitoring System Based on Wireless Sensor Networks", International Conference on Sensing Technology (ICST), New Zeeland, pp. 1-5, 2011
 O. Postolache, P. Girao, M. Dias Pereira, G. Ferraria, N. Barroso, G. Postolache, "Indoor monitoring of respiratory distress triggering factors using a wireless sensing network and a smart phone", Instrumentation and Measurement Technology Conference, 2009. I2MTC '09.
 O. Postolache, J. M. Pereira, P. Girao, “Smart Sensor Network for Air Quality Monitoring Applications”, Proceedings of the IEEE Instrumentation and Measurement Technology Conference, 2005.IMTC 2005, pp. 537-542.
 G. H. Cho, Gi Sang Choi, “Design of Service System Framework for Web-based Monitoring and Control of Indoor Air Quality (IAQ) in Subway Stations”, Proceedings of International Conference on New Trends in Information and Service Science, 2009, pp. 659-663.
 E. Mackensen, M. Lai, T.M. Wendt, “Bluetooth Low Energy (BLE) based wireless sensors”, IEEE Sensors, 2012, pp. 1-4.
 Haefke, M. Mukhopadhyay, S.C. ; Ewald, H. “A Zigbee based smart sensing platform for monitoring environmental parameters”, Proceedings of IEEE I2MTC2011, Hangzou, China.pp. 1-8.
 Agência Portuguesa do Ambiente, “QualAr – Base de dados on-line sobre qualidade do ar”, on-line at: http://www.qualar.org/
 Vujovic,V. Fac. of Electr. Eng., Univ. of Sarajevo, Sarajevo, Bosnia-Herzegovina Maksimovic, M. “Raspberry Pi as a Wireless Sensor node: Performances and constraints”, Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014 37th International Convention
 Fong, A.C.M. ; Fong, B. “Indoor air quality control for asthma patients using smart home technology”, Consumer Electronics (ISCE), 2011 IEEE 15th International Symposium
[V.V.L. PAVANKUMAR , Mrs. R. BHAKKIYALAKSHMI (2015) Indoor Air Quality Measurement and Uploading the Data over Web IJIRCST Vol-3 Issue-2 Page No-64-67] (ISSN 2347 - 5552). www.ijircst.org
Department of Electronics and Communication Engineering (Embedded System Technology), SRM University, Chennai, India.