Introducing
Your new presentation assistant.
Refine, enhance, and tailor your content, source relevant images, and edit visuals quicker than ever before.
Trending searches
Batch No : 4
1602-21-735-024 Ch.Paavandeep
1602-21-735-042 V. Sathwik
1602-21-735-060 R.Vinai
FOR
HUMAN AND ECOSYSTEMS IN THE WORLD EMPOWERMENT
The level of pollution is increasing rapidly due to factors like industries, urbanization,increasing in population, vehicle use which can affect human health. IOT based Air pollution Monitoring System is used to monitor the Air Quality over a web server using Internet. It will trigger an alarm when the air quality goes down beyond a certain level, means when there are sufficient amount of harmful gases present in the air like CO2, smoke, alcohol benzene, NH3 and NOx. It will show the air quality in PPM on the LCD and as well as on webpage so that air pollution can be monitored very easily. The system uses MQ135 and PM2.5 sensor for monitoring Air Quality as it detects most harmful gases and can measure their amount accurately. In recent years, air pollution has been a major global concern that has exceeded recommended national limits.
•Air pollution has negative effects on human health and ecosystems, as well as affecting the world’s climate
•Reasons for this rapid increase in air pollution include the growing population, rising number of industriesand excessive use of fuel-consuming transportation.
•So the Air quality monitoring system is introduced to resolve this harm
Wireless communication enables seamless integration with other devices and the ability to access data remotely.
Sensors equipped with advanced algorithms provide accurate measurements of various pollutants in the air.
Battery-efficient sensors allow for continuous monitoring without frequent replacements.
MQ 135 Sensor
Liquid Crystal Display (LCD)
ESP 32
PM 2,5 Sensor Driver
Webpage
Arduino IDE
This air quality will be monitored via an internet-connected web server utilising an IOTbased air pollution monitoring system. An alaram will spark and an LCD display is supplied when the air quality drops below a specific point.The air quality will be displayed on the website in PPM so that it may be easily monitored.The most effective sensors for monitoring air quality are the MQ135 sensor and the PM 2.5 sensor since they can precisely measure the amount of the majority of dangerous gases and dust particles .Now, if these sensors are linked to the cloud, login information is required to access thesystem and track pollution levels using a mobile device from any location air quality monitoring system based on IoT (Internet of Things) technology revolutionizes the way we monitor and manage air pollution. By connecting various sensors, data collection devices and communication networks, IoT-enabled air quality monitoring systems provide real-time and accurate information about the air quality in different locations. This allows for acomprehensive understanding of pollution levels and the identification of potential sources and patterns. The integration of IoT technology enables remote monitoring, data analysis and decision-making, enhancing the effectiveness and efficiency of air pollution management efforts. By leveraging IoT capabilities, such as data analytics, machine learning, and cloud computing, these systems enable proactive measures, timely interventions, and the implementation of targeted strategies to improve air quality. Ultimately, IoT-based air quality monitoring systems pave the way for a healthier and more sustainable future by enabling data-driven actions to mitigate the adverse effects of airpollution on human health and the environment.
webpage
ESP32
Air quality monitoring is an important tool for improving air quality, protecting public health, and ensuring compliance with regulations. It can also be used to identify pollution sources, monitor climate change, or support research and development.
Air quality monitoring helps ensure a safe environment for patients, reducing the risks of respiratory illnesses.
Real-time monitoring allows urban planners to make data-driven decisions to improve quality of life and reduce pollution levels.
Identifying and mitigating air pollutants in factories and manufacturing plants leads to a healthier workplace for employees.
Integration with smart home devices enables automatic HVAC control to maintain optimal indoor air quality for occupants.