Abstract Proceedings of IESMDT - 2021
Full conference PDF is available to the subscribed user. Use your subscription login to access,
IOT SMART ENVIRONMENTS TO IMPROVE AIR QUALITY IN GREEN PLANNING
The advantage of renewable energy infrastructure in smart buildings has highlighted the importance of self-consumption, which is the act of using local renewable energy to run IOTenabled devices at the time the energy is produced . In countries with a high kg CO2 per kwh factor, this effectively reduces CO2 pollution but also contributes to the stabilization of the energy grid. User comfort preferences are often expressed in the form of rule Automation Work flows (RAW),Which are software rules as to when and how IOT appliances must operate to allow custodians reach their convenience levels. Nowadays CO2 pollution has turned out to be one of the significant issues because of increment in the quantity of vehicles and during the time spent industrialization and urbanization. This expansion in the level of contamination brings about destructive consequences for prosperity. This project explains the depiction and execution of an environment Air quality detection system. The innovation grasped here, is a hands-on execution of the idea of Internet of Things. The work is actualized utilizing microcontroller board of PIC controller. In this project we make an IOT based Air Pollution Detection Monitoring System in which we monitor the Air Quality over a web server using LCD display. So, we propose an Air Quality observing system that help us to find and check live air quality through IOT.
Automation work flows, Air quality, PIC controller, and urbanization
17/09/2021
154
IESMDT152
IMPORTANT DAYS
Paper Submission Last Date
October 20th, 2024
Notification of Acceptance
November 7th, 2024
Camera Ready Paper Submission & Author's Registration
November 1st, 2024
Date of Conference
November 15th, 2024
Publication
January 30th, 2025