With an ever-increasing number of industrial units and transport vehicles, the problem of air and sound pollution is becoming severe with each passing day. Therefore, it has now become extremely important to keep the air and noise pollution levels under check, especially in urban centers. We have proposed Raspberry Pi Air and Noise Pollution Monitoring System Over IOT to achieve this goal.
₹ 10,200
Project Code: 6105
Description of the project
To counter the problem of air and sound pollution monitoring, we propose a Raspberry Pi and IOT based air and sound pollution monitoring system project. To measure air pollution levels, the monitoring system employs a CO2 sensor and a methane sensor. To measure noise pollution, the system uses a microphone. The measured sensor data is then transmitted to a remote web server via a Wi-Fi connection. The most significant aspect of this Raspberry Pi based Air pollution monitoring system is the IoT connectivity. It allows the remote and real-time monitoring of air and sound pollution levels. By effective monitoring of pollution levels, measures can be taken to bring those levels down.
Operation of the Raspberry Pi Air and Noise Pollution Monitoring System Over IOT Project
The IOT-based air and sound pollution monitoring system using Raspberry Pi consists of sensors, a controller, an output device, and a Wi-Fi communication system. The system contains three different sensors. All the data collected from these sensors is continuously fed to a controller which is a Raspberry Pi board in our case. The Raspberry Pi converts this sensor data into a convenient form. Then it transmits the data to a remote web server by making use of IoT – the Internet of things communication protocols.
The Raspberry Pi displays the sensor data on an LCD display in real-time. A graphical user interface can be created on the IoT web server side. The graph visualizes the sensor data in a convenient way. By virtue of this IOT-based pollution monitoring system project, air and pollution levels can be constantly monitored from a remote location. This remote location can be anywhere in the world. We can then take steps in order to reduce pollution levels.
Sensors used in Raspberry Pi Air and Noise Pollution Monitoring System Over IOT
- CO2 sensor: The CO2 sensor measures the carbon emission levels in the air.
- Methane sensor: The methane sensor measures the level of methane gas in the air which is exhausted from the industrial units and vehicles.
- Sound sensor (Microphone): The microphone measures the level of sound pollution in the atmosphere.
Description of the block diagram
The block diagram of the Raspberry Pi and IOT-based air and noise pollution monitoring project consists of 6 sub-blocks.
- Raspberry Pi: It is the most important part of the IOT air and sound pollution monitoring system. All three sensors send their data to the Raspberry Pi single-board computer. The sensors are the input devices that send their data to the Raspberry Pi controller. The output of the Raspberry Pi is connected to two output blocks. These output blocks are the IOT web server block and the LCD display screen block.
- LCD display: Raspberry pi processes the data from the sensors. Then it is displayed on the LCD output device.
- IOT web server: The same air pollution sensor data which is displayed on the LCD is also communicated to the remote web server. This is implemented by means of onboard Wi-Fi of the Raspberry Pi board. This sensor data can then be monitored from a remote location using the IOT website.
Block diagram of the Air pollution and noise pollution monitoring system:
Applications of the Air pollution and noise pollution monitoring project
- IOT based air and sound pollution monitoring system using Raspberry Pi can be used as a sub-system for smart cities.
- We can monitor the real-time air and sound pollution levels in any area using this Raspberry Pi based pollution monitoring system.
- Government can adopt this monitoring system which can be helpful in devising environment-friendly policies.
Advantages and future enhancements of the Raspberry Pi Air and Noise Pollution Monitoring System Over IOT project
- We can implement the raspberry pi air and noise pollution monitoring system over IOT project using low-cost components. Thus it can be built at a reasonable price.
- This monitoring system is completely automated and requires very little human intervention. Also, it requires less maintenance.
- The size of the monitoring system can be made more compact by using other controllers in place of the Raspberry Pi board.
- More environmental sensors can be added to the system in order to get more precise data about the air quality and ambient sound.
