Indoor Air Quality Monitoring on AWS Using MQTT Protocol

In Modern world, air pollution is becoming a major concern whose effects if not reduced may lead to major health problems. Indoor air quality has been ignored for a long period of time. Since we spend time indoors major, it is important to monitor the air we breathe. Taking appropriate measures in a timely manner relies on the measurement and analysis of the parameters of the air, which demands the need for the development of real time air quality monitoring. Air quality monitoring module is proposed to deal with this problem. In this Internet of things project, indoor air quality is measured by using various sensors. Data is pushed and stored on cloud and for better visualization of data, graphs of real time data are plotted. User is alerted if the indoor air quality is poor.

I. Introduction

Environment surrounding us is becoming polluted day by day causing serious health issues. Whenever we talk about air pollution it's usually outdoor and we never think of indoor air quality. Indoor air quality can be more harmful to us as pollutants are in more concentration. There are various sources of indoor air pollution. It should be taken seriously since most of the time we spent indoors say in home, office etc. It is necessary to monitor indoor air quality. The existing air quality monitoring modules either use Raspberry Pi (R-PI) or use Arduino so a separate analog to digital converter (ADC) or Wi-Fi module is required in respective cases [1]–[6]. Device is designed using RPI and grove gas sensor. Since sensor gives analog output, grove pi+ board is used for analog to digital conversion. So, replicating this module becomes costly. Also, the sensor is not very accurate to tell particular gas content in air. Module becomes bulky. Alert is given to user using application which makes it mandatory to have internet connection for notifications [1]. Arduino mega, Wi-Fi module, Zigbee, MQ series sensors are used for device. Two microcontrollers are used for this module and MQ series sensors are not so accurate [2]. In some cases, Arduino mega is used along with Ethernet shield or Wi-Fi module and MQ series sensors. Data is pushed on Thingspeak [3]–[5]. To reduce module size, Arduino nano is interfaced with Bluetooth module and sensor MQ135 [6]. Range of Bluetooth module is less than Wi-Fi module. PIC is used in the device along with the sensors. So, different components like ADC, Wi-Fi module etc. are required additionally. Data is stored on database and shown on webpage [7]. Moving module also called as mobile robot is built using Arduino board and R-PI along with GPS to monitor air quality [8].