IOT Based A smart device for air pollution monitoring stations

Project Title

IOT Based A smart device for air pollution monitoring stations

Project Area of Specialization Internet of ThingsProject Summary

Present innovations in technology mainly focus on controlling and monitoring of different activities. These are increasingly emerging to reach human needs. Most of these technologies are focused on efficient monitoring and controlling different activities. An efficient environmental monitoring system is required to monitor and assess the conditions. For exceeding the prescribed level of parameters such as noise, CO2, and radiation levels. When the objects like an environment equipped with sensor devices, microcontrollers, and various software applications become a self-protecting and self-monitoring environment and it is also called the smart environment. In such an environment when some event occurs the alarm or LED alerts automatically. The effects of environmental changes on animals, plants, and human beings can be monitored and controlled by a smart environmental monitoring system. Using embedded intelligence in the environment makes the environment interactive with other objectives, this is one of the applications that the smart environment targets. Human needs demand different types of monitoring systems these are dependent on the type of data gathered by the sensor devices. Event Detection and Spatial Process Estimation are the two categories in which applications are classified. Initially, the sensor devices are deployed in the environment to detect the parameters while the data acquisition, computation, and controlling of the action. Sensor devices are placed at different locations to collect the data to predict the behavior of a particular area of interest. The main interest of the design and implementation of an efficient monitoring system through which the required parameters are monitored remotely using data gathered from sensors.

Project Objectives

• Developing quick alert systems with possible preventive measures like switch on/off air conditioner, open/close windows, and check gas leakage to guide people towards healthy solutions with a variety of specific pollutants in the living environment.

• Designing a power-efficient and robust system for severe monitoring conditions in the urban as well as rural areas.

• Consider specific requirements of rural areas and design a cost-effective IAQ monitoring system to provide a safe solution for enhanced living environments.

Project Implementation Method

The data of air is recognized by the MQ135 gas sensor and MQ6 LPG gas sensor. The MQ135 sensor can sense NH3, NOx, alcohol, Benzene, smoke, CO2. So it is dynamic gas sensored 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 the 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 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, 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 the LM35 sensor and for humidity SY-HS-220.

Benefits of the Project

The objectives are as follows:

The data collected from air quality monitoring helps us assess impacts caused by poor air quality on public health.

Air quality data helps us determine if an area is meeting the air quality standards devised by CPCB, WHO or OSHA.

The data collected from air quality monitoring would primarily help us identify polluted areas, the level of pollution and air quality level.

Air quality monitoring would assist in determining if air pollution control programmes devised in a locality are working efficiently or not.

Air quality data helps us understand the mortality rate of any location due to air pollution. We can also assess and compare the short term and long term diseases/disorders which are a result of air pollution.

Technical Details of Final Deliverable

The system to monitor the air of environment using Arduino microcontroller, IOT Technology is proposed to improve quality of air. With the use of IoT technology enhances the process of monitoring various aspects  such as air quality monitoring .Here, using the MQ135,PM 2.5 and MQ6 gas sensors gives the sense of different types of dangerous gas and Arduino is the heart of this project. Which controls the entire process. Wi-Fi module connects the whole process to the internet and LCD is used for the visual Output.

Final Deliverable of the Project HW/SW integrated systemCore Industry HealthOther Industries IT , Others Core Technology Internet of Things (IoT)Other Technologies Artificial Intelligence(AI), OthersSustainable 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)	70000
Mq3,pm 2.5	Equipment	1	60080	60080
Mq5	Equipment	1	300	300
DHT11	Equipment	1	300	300
ESP32	Equipment	1	800	800
Diodes	Equipment	4	780	3120
Capictor	Equipment	1	1000	1000
LCD	Equipment	1	600	600
Voltage Regulator7805	Equipment	1	400	400
Wires	Equipment	7	400	2800
12v adopter	Equipment	1	600	600