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UNIVERSITI

T eknologi M ara

FACULTY OF ELECTRICAL ENGINEERING UNIVERSITI TEKNOLOGI MARA

TERENGGANU

AUTOMATED SAFETY SYSTEM FOR AIR POLLUTION DETECTION VIA ANDROID

AHMAD BADRUN AMIN BIN SAMSUL KAMAL MUHAMMAD DANEAL HAKIM BIN MOHD ADLI

SUPERVISOR

SUZIANA BINTI OMAR

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ACKNOWLEDGEMENT

First and foremost, we would like to thankful to Allah S.S.T which have helped and guided us in completing our final year project. Without His blessing, none of this is possible..

Then, we want to thank to our supervisor, Pn. Suziana Binti Omar who is very patience in helping and supporting us during the progression of Final Year Project 2. Without his help in guidance, encouragement, spending time in his busy schedule and support for us, we could not complete the project.

Furthermore, we also would like to thank to our panel that has evaluate us with great judgement.

In particular, we would honour to give our thanks to our parents for their support and very understanding, especially in providing budget for us to buy electric components. In addition, thanks to our friends, lecturers and those who helped us throughout the course of this project completion. Without all of their helps and supports, we would not complete our project until the end of the exhibition.

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ABSTRACT

This project presents a system of Automated safety system for air pollution detection via android which can be controlled and monitored using a mobile phone based on the concept of Internet of Things (loT) namely Blynk application.

The system monitors the indoor environment periodically and can be controlled using a Smart Phone. Proposed system consists of air quality sensors (MQ135) that are capable of detecting multiple gases such as alcohol, Smoke, CO2 etc.

levels in the kitchen and notifies the user if air pollution detected. A simple buzzer is interfaced to notify warning notification to indoor user when gas leakage occurs.

This system is implemented using Nodemeu, which uses a database to store the air values and which can be accessed through the smart phone. The system is more efficient and safety by creating automatic window’s kitchen and fan to enable harmful gas to out through window. With the advancement of technology, user can get air information easily and control the window and fan to keep environment clean using loT anytime and anywhere as long as there is internet connection.

iv

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CHAPTER

TABLE OF CONTENTS

CONTENTS PAGE

DECLARATION i

DEDICATION ii

ACKNOWLEDGEMENTS

iii

ABSTRACT iv

ABSTRAK v

TABLE OF CONTENTS vi-vii

LIST OF TABLE AND FIGURE viii-ix

LIST OF SYMBOLS AND ABBREVIATIONS xi

1 INTRODUCTION

1.0 Introduction of the chapter 1

1 1 Background of Study 2

1.2 Problem Statement 3

1.3 Objectives 3

1.4 ScopeofStudy 4

1.5

Summary of the chapter.

5

2 LITERATURE REVIEW

2.0 Introduction of the chapter 6

2.1 Background of study 7

2.2 Components used 8-12

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3.1 The Methodology Process 15

3.1.1 Block Diagram 15

3.2 Flowchart 16-17

3 3 Software Implementation 18

3.3.1 Proteus 8 professional 18-20

3.3.2 Blynk Application 21-22

3.4 PCB Board Design 23

3.4.1 The equipment used to design PCB board 23-26

3.5 Summary of the chapter 27

4 RESULT AND DISCUSSION

4.0 Introduction of the chapter Prototype of project. 28

4.1 Prototype of project 29

4.2 Software Simulation Result 30-32

4.3 Breadboard testing 33

4.4 Simulation circuit and PCB layout 34

4.5 Blynk Application result 35-36

4.6 Data analysis. 37-38

4.7 Discussion. 39

4.8 Summary of the chapter. 40

5 CONCLUSION AND RECOMMENDATION

5.0 Introduction of the chapter 41

5.1 Conclusion 42

5.2 Recommendation 43

REFERENCES

APPENDIX 44-51

vii

Referensi

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