Abstract

Design and Development of Black Carbon Prediction and Monitoring System Using Arduino Micro Controller


Abstract


An extensive research work Design and Development of a Black Carbon Prediction and Monitoring System Using Arduino Micro Controller aims to develop an effective and affordable method of forecasting and monitoring the amounts of black carbon in the environment. Black carbons are released from a variety of sources, including biomass burning, industrial processes, and automobile exhaust. Black carbon has negative impacts on both human health, environment and Attenuation of Signals in Wireless Communication. The main tool used in this project to forecast black carbon levels and collect real-time data is an Arduino micro controller. The three basic phases of the system are data gathering, data processing, and prediction. A network of sensors is established during the data collecting stage to monitor the amounts of black carbon at sites. The data acquisition stage, a network of sensors is deployed to measure black carbon concentrations at specific locations. These sensors continuously sample the air and provide raw data to the Arduino controller. The collected data is then processed by the Arduino controller in the data processing stage. The controller performs data filtering, calibration, and normalization to account for sensor variations and to ensure accurate and consistent results. The Black Carbon Prediction and Monitoring System (BCPMS)using an Arduino controller provides an innovative and cost effective approach to address the challenges of black carbon pollution. The system's real-time predictions and monitoring capabilities hold great promise for improving air quality and informing policies aimed at reducing black carbon emissions. The development of such a system aligns with the global efforts to combat air pollution and enhance environmental sustainability.




Keywords


Node MCU ESP8266, Gas Sensor, Noise Sensor, DHT11 Sensor, LCD, Black Carbon Detection Sensor, Blynk Application, Arduino IDE, Embedded C.