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I Enabled Portable Indoor Air Ot Quality Meter and Pollution Detector System

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I Enabled Portable Indoor Air Ot Quality Meter and Pollution Detector System International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 12, Issue 1, January 2021, pp.725-730 Article ID: IJARET_12_01_065 Available online at http://iaeme.com/Home/issue/IJARET?Volume=12&Issue=1 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 DOI: 10.34218/IJARET.12.1.2020.065 © IAEME Publication Scopus Indexed IOT ENABLED PORTABLE INDOOR AIR QUALITY METER AND POLLUTION DETECTOR SYSTEM Syed Faiazuddin Research Scholar, Department of Electronics, S.K.University, Anantapuramu, Andhra Pradesh, India Dr. M.V.Lakshmaiah Coordinator, Department of Electronics, S.K.University, Anantapuramu, Andhra Pradesh, India Dr. M.Ravikiran Professor, State Council of Educational Research and Training, (SCERT), Amaravathi, Andhra Pradesh, India Dr. T.Syeda Jeelani Basri Associate Professor,Department of Chemistry, GPCET, Kurnool, Andhra Pradesh, India ABSTRACT This system is able to calculate air quality inside and outside the vehicle. Helping/customers know when their in-vehicle air quality is good. This means purified air and peace of mind for drive and passenger alike. The architecture of Air Quality system using Raspberry Pi4 interfacing with different sensors and collected information of sensor uploaded into cloud. Recent trend is Internet of Things (IoT) technology and it is a popular worldwide system. Present days in Industries, Home Automation, Agriculture systems, Security systems and Drowns also uses IoT technology of “smart devices”. Sensors are collected information and connect with atmosphere parameters and interact with client and other systems. In this proposed model, several sensors are connected through an embedded system that collects data from the surrounding locations. In the current model, Arduino Uno, Raspberry Pi4 micro-controller plays an important role, to which various sensors like CCS811 CO2 Air Quality Sensor, DHT 11 Temperature and Humidity Sensor, Grove - Air Quality Sensor v1.3 are connected. The sensors are detected the level of carbon dioxide, carbon monoxide, temperature, humidity and dust particles present in the environment. Further, the sensor data are stored on a local server and excavated whenever necessary. Moreover, Python codes for different mathematical formulae are written which are used in the ThingSpeak. http://iaeme.com/Home/journal/IJARET 725 [email protected] IOT Enabled Portable Indoor Air Quality Meter and Pollution Detector System Finally, by the ThingSpeak, the various results are extracted and analyzed to check the environment condition. Key words: Raspberry Pi4, IEEE 802.11 ac wireless, Air quality, CO, Arduino Uno, CCS811 CO2 Air Quality Sensor, DHT 11 Temperature and Humidity Sensor, Grove - Air Quality Sensor v1.3MICS 6814. Cite this Article: Syed Faiazuddin, M.V.Lakshmaiah, M.Ravikiran and T.Syeda Jeelani Basri, IOT Enabled Portable Indoor Air Quality Meter and Pollution Detector System, International Journal of Advanced Research in Engineering and Technology (IJARET), 12(1), 2021, pp. 725-730. http://iaeme.com/Home/issue/IJARET?Volume=12&Issue=1 1. INTRODUCTION The toxic gas information can access from anywhere through Internet. As shown in fig1: utilization architecture of Raspberry Pi4 processor will be very use full in home automation and industries in this system we have a temperature sensor and gas sensor’s when any sensor’s reaches the threshold limits it will send a notification to alert authorized person[1]. This application is very use full for global warming carbon dioxide emission. A Raspberry Pi4 (every model works; a model with IEEE 802.11ac wireless is best) A particulates sensor CCS811 CO2 Air Quality Sensor, DHT 11 Temperature and Humidity Sensor, Grove - Air Quality Sensor v1. Accordingly, the Internet of Things elicits significant challenges in the field that benefit the methods for potential realization[2]. The combination of objects with Internet has the powerful analytic capabilities which promises for the transformation of the data from our way of living and work status. Figure 1 Utilization architecture of Raspberry Pi4 processor http://iaeme.com/Home/journal/IJARET 726 [email protected] Syed Faiazuddin, M.V.Lakshmaiah, M.Ravikiran and T.Syeda Jeelani Basri 2. SENSORS DESCRIPTION 2.1 DHT11 This component is used to identify the values of Temperature and Humidity of Environment [3]. Further, the temperature is calculated by ThingSpeak using the formula as given below Figure 2 where T is the temperature, PWs is the Saturation vapour pressure (npa), Tc is the Critical temperature with 647.096k, and Pc is the Critical Pressure. 2.2 CCS811 VOCs Gas Sensors To identify a broad range of Volatile Organic Compounds (VOCs), CCS811 air quality sensor is an extremely-low power digital gas detector sensor that incorporates a metal oxide gas sensor with a microcontroller that provides an ADC and an I2C interface for air quality monitoring[4]. Figure 3 CCS811 light sensor is finest digital gas sensor for precise air quality monitoring using Arduino, Raspberry Pi , STM32 etc. 2.3 Grove - Air Quality Sensor v1.3MICS 6814 The Grove - Air Quality Sensor v1.3MICS 6814 is designed for indoor air quality monitoring [5]. The mainly CO2, H2,NO2,N2 etc. gases are detected. It is compatible with 5V and 3.3V power supply. http://iaeme.com/Home/journal/IJARET 727 [email protected] IOT Enabled Portable Indoor Air Quality Meter and Pollution Detector System Figure 4 3. METHODOLOGY The basic block diagram of the IoT enabled portable indoor air quality meter and pollution detector system is shown in Fig.2. For the required setup the main module, the Raspberry Pi4 module is taken in which the peripheral sensors like temperature and humidity sensor, gas sensors, and dust sensor are connected to it. The Raspberry Pi 4 has a Wi-Fi and a Bluetooth module in it. Python is a general purpose, high level programming language and has a comprehensive standard library with a dynamic memory management that is highly reliable for coding as it supports the limited ways to convey the embedded concept to programmers[6]. The present study is based on a cloud based technique with the help of the internet where the sensed data are stored in a simplified manner. Using ThingSpeak application, the graphical representation of the sensor value shows the air quality of that region and can be analyzed for a better environmental condition. Figure 2 Block Diagram of IoT enabled portable indoor air quality meter and pollution detector system 4. COMPLETE SOFTWARE WORK PROCEDURE Insert a memory card before installing Raspberry P4 board where in which Raspbian OS will be installed. GUI is created simultaneously with database where PHP is used[7]. PHP is a http://iaeme.com/Home/journal/IJARET 728 [email protected] Syed Faiazuddin, M.V.Lakshmaiah, M.Ravikiran and T.Syeda Jeelani Basri hypertext server side programme language which interacts with database, the related library files, installations, update softwares etc., are installed. High level programming Python language is used for desktop GUI application, this software not only helps in programming, back end development, also helps in web development. Hence it also supports in writing system scripts, data science and among other things. In the next installation, an open source freely available MYSQL RDMS (Relational Database Management System). It is used for SQL (Structured Query Language). The SQL is the most defined flexible, quick processing, accepted language for integrating, adding, deleting, accessing and managing content in a database [8]. The next installation is QT5 software which is used for developing GUIs (graphical user interfaces). GUI is a multiplatform application that runs on almost every platform such as desktop, mobile or embedded forms. Case Qt is a widget toolkit which helps in creating GUI programs and has native looking interface. 5. RESULTS AND DISCUSSIONS Table 1 Real time air quality parameters measurements http://iaeme.com/Home/journal/IJARET 729 [email protected] IOT Enabled Portable Indoor Air Quality Meter and Pollution Detector System In this research, air pollutants, Measurement of concentration of air pollutants and advantages of measurement of air pollutants, Hazardous gases, CO, CO2, sulfur dioxide as pollutant [9]. Determination of concentration of pollutant is important to analyze the extent of pollution in any particular area and it is also help to recover a good environment by accepting several control measures as shown in Table1. This work is implemented for Air Quality monitoring in the vicinity of sample buildings to be used in the study is important and will be carried out [10]. In this paper designed a IoT network for Air Quality monitoring system. They introduce an energy saving IoT Wireless Sensor network with low latency and high throughput for the AQ monitoring system, monitoring on cloud. 6. CONLUSION Accordingly, the Internet of Things elicits significant challenges in the field that benefit the methods for potential realization. The combination of objects with Internet has the powerful analytic capabilities which promises for the transformation of the data from our way of living and work status. REFERENCES [1] Jonathan M. Samet, M.D. Indoor Air Pollution: A Public Health Perspective. Indoor Air 1993, 3: 219-226 [2] Ivan Gee, Monitoring Indoor Air Pollution. Indoor Built Environ 2001; 10: 123-124 [3] Lidia Morawska, Congrong He, Jane Hitchins, Dale Gilbert and Sandhya Parappukkaran 2001 Elsevier Science Ltd.,Atmospheric Environment 35 (2001) 3463-3473 [4] Richard W. Baldauf, Dennis D. Lane, Glen A. Marotz, H.William Barkman and Thomas Pierce. Application of a risk assessment based approach to designing ambient air quality monitoring networks for evaluating non-cancer health impacts. Environmental Monitoring and Assessment 78: 213–227, 2002. [5] Steven M. Bortnick, Basil W. Coutant and Shelly I. Eberly. Using Continuous PM2.5 Monitoring Data to Report an Air Quality Index. Journal of the 2002 Air & Waste Management Association, Volume 52 January 2002, 104-112. [6] K. Papakonstantinou, A. Chaloulakou, A. Duci, N. Vlachakis and N. Markatos. Air quality in an underground garage: computational and experimental investigation of ventilation effectiveness.
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