IOT Based Air Quality Monitoring using particulate matter sensing in Online Think speak Cloud Server

Computer Science Engineering

This paper introduces a platform that utilizes IoT and cloud computing technologies for monitoring both indoor and outdoor pollution, allowing for environmental quality assessment anytime and anywhere. The system collects data from various locations within and outside a room at regular intervals, providing valuable information for characterizing the current conditions. The Pollution Monitoring System exemplifies the effective utilization of technology by monitoring and reporting environmental factors such as gas levels, smoke presence, temperature, and humidity. However, the communication between sensing hardware devices and the MQTT software protocols for online monitoring on any cloud platform presents certain challenges. To address these challenges, IoT-based hardware devices are employed, programmed to sense different air quality metrics and transmit the data to Thinkspeak analytics and the Cloud Platform for logging and conversion into a graphical format. The system utilizes MQTT protocol to establish communication between the hardware devices and the online cloud server. The primary objective of this research is to develop a real-time and cost-effective air quality monitoring system based on the Internet of Things. For monitoring dust levels, the system utilizes a dust level or particulate matter sensor, while temperature and humidity are measured using DHT11 sensors. Additionally, an ATmega328 controller with a NodeMCU ESP8266 development board equipped with a WiFi module is used to transmit readings to a ThingSpeak web channel platform, enabling immediate and real-time display of air quality. To enable remote communication, the concentration level is graphically monitored through channels on ThingSpeak. A threshold value has been established, so when pollutant levels reach high concentrations, the graphical curve rises to indicate the elevated dust concentration level. The study successfully designs a low-cost air quality monitoring system using NodeMCU and ThingSpeak.

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