Acknolgement:

I am extremely grateful and remain indebted to Almighty God who has guided in all ventures to complete my project work successfully.
I am especially thankful for my Supervisor Ahsan Ullah Lecturer of the Department of Computer Science & Engineering. World University of Bangladesh (WUB), for helping us to prepare a report on Design and Development of IOT Based Air and Noise Pollution Monitoring System and his continuous guidance. His instructions and guidance have been of extreme help for us. We also thankful for all the times and we consulted him and he answered with utmost patience and perseverance.

Introduction:

To design an IOT based Air and Sound pollution monitoring system which can be accessed with the help of GSM (Global System for Mobile Communications) module and to analyze the pollution level of a particular place or site. To pick up the data from the atmosphere or contents of atmosphere various sensors are used. In this system air pollutants will be measured are CO2, smoke, alcohol, benzene, and NH3. For the measurement of sound levels sensor used. Air pollution sensors measure the quality of air while sound pollution sensors measure the sound levels. Data from these sensors are basically analog signals. These signals are converted to its equivalent digital form. A GSM module is also integrated into the system to transfer the data to another location or to access the data from remote location. Also, to display data on the system a 16x2 LCD is connected to the microcontroller. The system uses air sensors to sense the presence of harmful gases/compounds in the air and constantly transmit this data or information to the microcontroller. Also, this system constantly measures sound level and reports it to the online server over IOT. The sensors interact with a microcontroller which processes this data and transmits it over the internet. This allows the authorities who want the data of different areas to monitor air pollution in different areas and take action against this project design and development IOT based Air and Noise pollution monitoring system using Arduino UNO. Air and sound pollution is a growing issue these days. It is necessary to monitor air quality and keep it under control for a better future and healthy living for all. Here we propose an air quality as well as sound pollution monitoring system that allows us to monitor and check live air quality as well as sound pollution in an area through IOT. The system uses air sensors to sense the presence of harmful gases/compounds in the air and constantly transmit this data. Also, the system keeps measuring sound level and reports it. The sensors interact with Arduino which processes this data and transmits it over the application. This allows authorities to monitor air pollution in different areas and act against it. Also, authorities can keep a watch on the noise pollution near schools, hospitals, and no honking areas, and if the system detects air quality and noise issues it alerts authorities so they can take measures to control the issue. Air pollution and noise pollution often go hand-in-hand, as some of the most heavily air-polluted areas are also those near loud busy roadways and airports.

Air pollution is due to toxic or radioactive gases that introduced into the atmosphere as a result of human activity. Dirty air that could injure human health or property, and nature. There are many factors that Effect the quality of air such as waste from factories, combustion from automobile and from nature causes such as volcano eruption.

Noise pollution is when there is lot sound that is unwanted or disrupts one’s quality of life. Sound becomes undesirable when it disturbs my daily activities such as sleeping, working or during conversations. There are lot cycles of noise pollution such as from industrial, construction work, road traffic and many more. Sound pollution also can affect physiological psychological health such as high blood pressure, stress-related illness and sleep disruption.

IOT or internet of things is an upcoming technology that makes use of the internet to control/monitor electronic/mechanical devices, automobiles and other physical devices connected to the internet. IOT gives the user the ability to control more than digital things easily through a comfortable GUI over the internet. Network Devices and the Internet of Things All kinds of ordinary household gadgets can be modified to working an IOT system. Wi-Fi network adapters, motion sensors, cameras, microphones and other instrumentation can be embedded in these devices to enable them for work in the Internet of Things. Home automation systems already implement primitive versions of this concept for things like light bulbs, plus other devices like wireless scales and wireless blood pressure monitors that each represent early examples of IoT gadgets.

Objectives

 To design and Development of IOT based Air and Noise pollution monitoring system.
 To analyze the pollution level of a particular area.

Justification of study

My main goal of this Project to create air and noise pollution-free environment using IOT. we want to make a smart city is to improve quality of life by using technology to improve the efficiency of services and meet residents’ needs. Information and Communication Technology allows city officials to interact directly with the public to tell what is happening in the city, how the city is evolving, and how to enable a better quality of life.

Air pollution and sound pollution are major constituents for having adverse and harmful effects on the environment as well on human beings. To monitor this pollution is a very difficult task. They had to visit the site to be analyzed every time they wanted the data. This was a lengthy, time consuming and expensive task. My project will be helpful to make pollution monitoring less complex, less time consuming and flexible.

Scope of study

The air and sound Pollution monitoring system overcomes the problem of the highly-polluted areas which is a major issue. We propose an air quality as well as sound pollution detecting system that allows us to monitor and check live air quality as well as sound pollution in particular areas through IOT. The system uses air sensors to sense the presence of harmful gases/compounds in the air and constantly transmit this data to the microcontroller. Also, the system keeps measuring sound level and reports it to the online server over IOT. This allows authorities to monitor air pollution in different areas and take action against it.
Also, authorities can keep a watch on the noise pollution near schools, hospitals, and no honking areas, and if the system detects air quality and noise issues it alerts authorities so they can take measures to control the issue.

Literature Review

To make the environment smart in that area, in that case, some of the research works completed to monitor the parameters of pollution in a particular area of interest, where a large kind of techniques, as well as methods, were used in the past. Smart Environment Monitoring using Wireless Sensor networks - In this work they are mainly focused on the making all over the country environment smart, by deploying Wireless Sensor networks in all over the country and moving public transportation system buses and cars.
In this project, a real-time monitoring of air and noise pollution are simulated in real environment. Air pollution consists of various constituents which are harmful for human beings. Out of several constituents here carbon monoxide, smoke and cooking fumes and carbon dioxide NH3 NOx are detected. The sensors used are MQ135 respectively. The concentration level of these toxic gases is continuously sensed by their respective sensors. The measured value is displayed on the LCD continuously. The sensor requires 5V input which is given by the power supply in the system. The sensor is calibrated with the processor such that it gives output in the percentage of the level of concentration of carbon monoxide in the atmosphere. The particular threshold value is set at the load resistance. When the value exceeds threshold value then the authorities will come to know that the pollution level has increased of that particular site. In order to monitor sound pollution in the areas a sound sensor module is used. To detect the presence of the sound, mic sensor module is used. I am using mic as sound sensor in the proposed system. This sensor operates on 3.3V to 5V dc. It provides digital output on the display. It detects sound from the atmosphere and output digital signal. This sensor is calibrated such that it gives the readings in percentage. It has a sound setpoint adjust, to adjust the threshold value. So if the reading goes beyond the threshold value authority will able to know the sound pollution is at high level of that particular place. It has a led which indicates power and output signal. This is preferred as it is available and due to the low cost of the sensor. Then extended the simulated results to update in web. (-Arashi Singh1, Divya Pathak1, Prachi Pandit1, Shruti Patil1, Prof. Priti . C. Golar, 2017).

Methodology:

The methodology is a set of methods, rules, or ideas that are important in a science or art. a particular procedure or set of procedures. The methodology is the systematic, theoretical analysis of the methods applied to a field of study. It comprises the theoretical analysis of the body of methods and principles associated with a branch of knowledge. Typically, it encompasses concepts such as paradigm, theoretical model, phases and quantitative or qualitative techniques.
After completing a literary review, we have to decide how we will complete my project. The process of working on my project is not similar to any software model about hardware in my project. But we've followed some features of the software model and we've presented my method with my self-strategy. We have shared my project method in six (6) steps and it was shown through a block diagram. This is given below.

Hardware Requirement

Hardware tools. These are the flowing

Arduino Uno SMD R3
Sound Sensor
Gas Sensor(MQ-135)
GSM Module(A6)
LCD Display 16*2
LCD converter
Breadboard
Power supply Unit (5v/3.3v)
Connecting ware

Software Requirements:

Software tools following blow

Arduino IDE
Language C++
Web browser
Fritzing Simulator

Block Diagram of Proposed System:

Circuit Diagram of Proposed System

Demo photo of the project

Demo photo of the Throughput of project

Applications

It will be used for Air & Noise pollution Detect.
It will help to develop a smart environment
Indoor Air Quality Monitoring.
Roadside pollution Monitoring.
Design server using IoT and upload data to that server with date and time.
To set a danger limit on that server and inform authorities to take future actions for wellbeing.

Conclusion

This project presents the whole working process of my system. There is six (6) chapter in this paper. Introduction chapter has detail introduction to this project, objective of my system, justification to make this project and about the scope of this project. Literature review chapter has some review about the relevant project of my field. Methodology chapter has detail description about the justification workflow as well. We have discussed hardware requirement, software requirement, block diagram, circuit diagram, flowchart and description of the component used this project. About the working principle, we have discussed in the chapter project description. Finally, we gave a repetition of my project. We also have discussed that how much effective of my project in practical life. In the conclusion, we gave some statement about the limitation and the scope of future improvement of this project.
The system to monitor the air & noise environment using Arduino microcontroller, IOT Technology is proposed to improve quality of air & noise. With the use of IOT technology enhances the process of monitoring various aspects of the environment such as air & noise quality monitoring issue proposed in this project. Air & Noise management system is a step forward to contribute a solution to the biggest threat. The air & noise monitoring system overcomes the problem of the highly-polluted areas which is a major issue. It supports the new technology and effectively supports the healthy life concept. This system has features for the people to monitor the amount of pollution on their mobile phones using the application.