Open AccessDevelopment of IOT Device for Sensing Weather and Environmental Pollutants
Author(s) -
Toju Babalola,
A. D. Babalola,
M. S. Olokun
Publication year - 2021
Publication title -
journal of engineering research and reports
Language(s) - English
Resource type - Journals
ISSN - 2582-2926
DOI - 10.9734/jerr/2021/v21i617471
Subject(s) - computer science , environmental science , environmental data , data collection , microcontroller , environmental monitoring , interface (matter) , meteorology , database , embedded system , operating system , environmental engineering , geography , statistics , mathematics , bubble , maximum bubble pressure method , political science , law
Pollutants emitted into the atmosphere, such as ozone, which raises temperature, contributes to climate change. This may have inverse effect on the local air quality. However, other Particulate Matter (PM) components can heat or cool the temperature. Weather and environmental pollution can cause headaches, heart disease, respiratory problems, acid rain, fever, and other symptoms that are harmful to both people and the environment. This research center on development of smart sensors to monitor our environment's exposure to weather and environmental contaminants. This was made possible by developing an interface between data collection and monitoring equipment that interfaced with a website and analysis software. The online portal records and analyzes the measured data from the monitoring device in accordance with the WHO (World Health Organization) standard. It also compares the measured data from various locations. The main microcontroller in this work is an Arduino UNO which helps in data collection; and the CoolTerm application which helps exchange data with hardware connected to serial ports with the microcontroller. The system monitors environmental changes such as temperature and precipitation. The data is displayed as graphical statistics on the web site's design in the form of web portal information.
Offices on the Federal Polytechnic Ile Oluji campus, in addition to the production powerhouse, are used to test the equipment. Each dataset was generated in three minutes and compared to the WHO standard. People who live near generators, according to the findings, face a greater risk to their health.