ABSTRACT
The Covid-19 Pandemic (C19P) situation of the entire world now affects all fields in terms of Excellencies and let to suffer drastically from normal functioning. The whole world is now concentrating on the protection from the C19 virus in the form of vaccination (C19V) and social distancing (SD). There is a kind enough need arises to maintain the hygiene environment during and after the post C19P situations, and this IoT e-Environment Pollution Monitoring and Controlling System (IEE-PMCS) with 3 parameters (air, water, sound) resolves and addresses the issues in the hygiene maintenance of various environments as common. In the IEE-PMCS proposed work, the 3 measuring parameters and their real-time and current values are percept with the appropriate sensors of IoT elements, and the data are collected and stored on a cloud and are verified with the predefined threshold values of pollution measures with included tolerance values of permissible values to indicate if there is any cause of the pollution on the real-time perceptions. The verification and decision-making of the system is reliable on the new algorithms proposed in this work. This work is based on system modeling and providing an efficient architecture to the maximum extent of the intended purpose, with a detailed description of the flow of operations and with the algorithmic level. © 2022 IEEE.
ABSTRACT
This paper presents a development of internet of things (IoT)-based indoor air quality monitoring system. The system is purposed to monitor quality of air in offices. It is to assure the health and safety of the working place which is especially being a big concern during the COVID-19 pandemic. Implementing the IoT concept allows to do monitoring from anywhere at anytime. A prototype of the monitoring system is built using three major components, such as an air quality sensor (BME680), a microcontroller (NodeMCU ESP-12), and an IoT cloud platform (ThingSpeak). The experimental test result shows that system was able to monitor the air temperature, air humidity, air pressure, IAQ (indoor air quality) index, carbon dioxide quantity, and VOC (volatile organic compound). These data is presented real-time in a web application and accessible from anywhere by using computers or smartphones. © 2022 IEEE.
ABSTRACT
The COVID-19 pandemic has led many serving environments to seek solutions to control people's access and avoid crowding in order to contain its spread, and to ensure the health and safety of users. Given the various current solutions, this paper presents a monitoring system that shows, in real-time, via web, the status of people in closed environments. It uses internet of things (IoT) techniques for data interconnections and electronic components - NodeMCU board and proximity sensors - to monitor the entrance and exit of people in an enclosed environment, providing the statistics through an IoT platform (application) that can be installed in a mobile device (smartphone). This study highlights a low-budget system, shows the implementation of IoT platforms in the development of prototypes and the tests carried out in the academic service office.