IOT Based Air Pollution Monitoring System
The level of pollution is increasing rapidly due to factors like industries, urbanization, increase in population, and 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 the Internet. It will trigger an alar
2025-06-28 16:28:02 - Adil Khan
IOT Based Air Pollution Monitoring System
Project Area of Specialization Internet of ThingsProject SummaryThe level of pollution is increasing rapidly due to factors like industries, urbanization, increase in population, and 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 the Internet. It will trigger an alarm when the air quality goes down beyond a certain level, which means when there are sufficient amounts 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 the webpage so that air pollution can be monitored very easily.
Project ObjectivesDevelopment of a model which helps in the analysis of the air quality, in order to avoid air pollution.
Project Implementation MethodThe data of air is recognized by MQ135 gas sensor and MQ6 LPG gas sensor. The MQ135 sensor can sense NH3, NOx, alcohol, Benzene, smoke, CO2. So it is a dynamic gas sensor for our Air pollution Monitoring system. When it will be connected to Arduino then it will sense all gases, and it will give the Pollution level in PPM (parts per million). MQ135 gas sensor will give the output in form of voltage levels and we have to convert it into PPM. So for converting the output in PPM, we have used a library for MQ135 gas sensor and MQ6 sensor. The sensor is giving us a value of 90 when there is no gas near it and the air quality safe level is 350 PPM and it should not exceed 1000 PPM. When it will exceed the limit of 1000 PPM, it will cause Headaches, sleepiness, and stagnant, stuffy air. If it exceeds 2000 PPM then it will cause increased heart rate and many different diseases. When the value will be less than 1000 PPM, then the LCD and webpage will display “Fresh Air”. When the value will increase from 1000 PPM, then the buzzer will start beeping and the LCD and webpage will display “Poor Air, Open Windows”. And when it will increase 2000, the buzzer will keep beeping and give an alert message on the smartphone through GSM. The LCD and webpage will display “Danger! Move to Fresh Air”. It will contain temperature and humidity so it will possibly show the current temperature and humidity of the air. For temperature, we have used LM35 sensor, and for humidity SY-HS-220. According to the model the 4 sensors work as input data, they transmit data for knowing which gas it is, and what is the temperature and humidity. LCD and Buzzer are the output devices. LCD shows the data of the gases in ppm (parts per million) and Buzzer is used when ppm crosses above a threshold limit. the model can be implemented in weather stations that detect the air population and warn the government before the quilty of air is dangerous,
Benefits of the Project- The model could be the best fit to implement in weather stations that detect the air population and warn the government before the quilty of air is dangerous,
- The model is best suited for the industrial areas where the workers will be warned and instructed to wear masks.
- The proposed model help to achieve the Sustainable Development Goals (SDG) goal 13 "Climate Action".
The proposed prototype is a combination of hardware and software which will be smart. this model belongs 5th industrial revolution IoT, equipped with advanced sensors and microcontrollers.
Final Deliverable of the Project HW/SW integrated systemCore Industry HealthOther IndustriesCore Technology Internet of Things (IoT)Other TechnologiesSustainable Development Goals Good Health and Well-Being for People, Climate ActionRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 78600 | |||
| raspberry pi complete Kit | Equipment | 1 | 15000 | 15000 |
| Gas sensor | Equipment | 1 | 2400 | 2400 |
| potentiometer | Equipment | 2 | 540 | 1080 |
| resistors set | Equipment | 2 | 9000 | 18000 |
| Buzzer | Equipment | 3 | 60 | 180 |
| Temperature sensor | Equipment | 2 | 1050 | 2100 |
| Humidity sensor | Equipment | 2 | 2000 | 4000 |
| Li-po battery 4 cell | Equipment | 2 | 8500 | 17000 |
| Li-po battery charger | Equipment | 1 | 590 | 590 |
| Digital Multimeter | Equipment | 1 | 4000 | 4000 |
| Printing and Stationary cost | Miscellaneous | 1 | 5000 | 5000 |
| raspberry pi complete Kit | Equipment | 0 | 0 | 0 |
| Gas sensor | Equipment | 1 | 2400 | 2400 |
| potentiometer | Equipment | 2 | 540 | 1080 |
| resistors set | Equipment | 0 | 0 | 0 |
| Buzzer | Equipment | 3 | 60 | 180 |
| Temperature sensor | Equipment | 0 | 0 | 0 |
| Humidity sensor | Equipment | 0 | 0 | 0 |
| Li-po battery 4 cell | Equipment | 0 | 0 | 0 |
| Li-po battery charger | Equipment | 1 | 590 | 590 |
| Digital Multimeter | Equipment | 0 | 0 | 0 |
| Printing and Stationary cost | Miscellaneous | 1 | 5000 | 5000 |