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IoT-Based Air & Noise Pollution Alert for Asthma & Angina Patients
1.
© 2022, IRJET
| Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3427 IoT BASED REAL TIME AIR AND NOISE POLLUTION ALERT SYSTEM FOR ASTHMA AND ANGINA PATIENTS Anju Sosa John1, Greeshma Thomas2, Sona Sussan Zacharia3, Er.Anu Raj4 ,Er. Agitha M S5 Department of Electronics Engineering, Saintgits College of Engineering, Kerala, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract – Nowadays, the level of pollution is rapidly increasing due to the factors like urbanization, industrial activities, increasing usage of vehicles etc. This causes greater impacts on human health. Both air and noise pollution are major threat to asthma and angina patients. So to tackle this environmental issues, we proposed an IoT based real time noise and air pollution alert system. This system is very useful to the patients as it is capable of monitoring the air quality and noise level using sensors, when it exceeds a certain threshold level. We used NodeMCU as our microcontroller board and the sensors are MQ-7,MQ-135(gas sensors) and KY-037 sound sensor. The user can access these information through an android application. The levels of air and noise pollution are displayed over Blynk app. This monitoring system will assist both the authorities as well as the public so that preventive measures can be taken as early as possible. Key Words: IoT, Pollution, NodeMCU, Blynk, Monitoring system, Sensors 1. INTRODUCTION Our environment is getting polluted day by day due to industrialization and urbanization. When this level of pollution exceeds a certain limit, we need to take proper actions and measures to purify the air, water, soil etc. As we know “Prevention is better than cure”, we need to take immediate actions to make our life safe as well as to protect our nature. Hence there is a need for proper measurement and analysis of real time air and noise quality levels, so that appropriate decisions can be taken without exploiting our health and life. 1.1 Air Pollution The effects of air pollution are alarming. The main sources of air pollution are increasing emission of toxic gases from industries vehicle emission and increased concentration of harmful gases and particulate matter in the atmosphere. These factors lead to many health issues like respiratory and heart conditions like asthma, chronic bronchitis, emphysema, heart attacks and strokes along with cancer. Not only these issues, they are also having an adverse effect on our nature also. 1.2 Noise Pollution Noise pollution is the unwanted or excessive sound in our environment. It is mainly due to increasing number of vehicles and noise producing machines in the industries. The effects of noise pollution also have many health issues like stress related illness, high blood pressure, speech interference, hearing loss, sleep disruption. Our proposed system provides the solution to this problem with the help of Internet of Things 2. OBJECTIVE To develop a real-time noise and air pollution monitoring system which is capable of monitoring the air pollution and noise level using sensors when it exceeds a certain threshold level. The user can access this information through an android application. This monitoring system will assist the authorities as well as the public to view the information regarding pollution and contribute towards controlling it at their possible level. The levels of air and noise pollutions are displayed over blynk platform. It can control hardware remotely and can display and store sensor data. The result is displayed in the form of gauge widget indicating the levels of pollution 3. PROPOSED MODEL The proposed work aims at making a low-cost real-time noise and air pollution monitoring system which is capable of monitoring the air pollution and noise level using sensors when it exceeds a certain threshold level. The project uses a ESP8266 NodeMCU board to control the system. It consists of KY037 sound sensor, MQ7 and MQ135 gas sensors. Data picked up by the sensors are provided to the board. A quad bilateral switch CD4066, is used for the multiplexing of analog signals. It consists of four switches that are used for switching analog signals with digital control. Once the input like analog signal is applied to the switch then the input is transmitted to control input. So, this analog signal will be transmitted in the switch from input to output. The output from the sensors is stored in the cloud environment. The data can be accessed by users through and android application. The application is developed using “Blynk” platform. It is used for displaying the levels of air and noise pollution so that this information is available for all the users. The result is displayed in the form of gauge widget indicating the levels. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3428 3.1 HARDWARE COMPONENTS • NodeMCU Fig-1 NodeMCU It is a low-cost open source IoT platform It can connect objects and let data transfer using the Wi- Fi protocol • MQ-7 Gas Sensor Fig-2 MQ-7Gas Sensor Carbon Monoxide (CO) sensor suitable for CO concentrations in the air. Long service life and reliable stability Rapid response and recovery characteristics • MQ-135 Gas Sensor Fig-3 MQ135-Gas sensor Suitable for detecting of NH3, NOx, alcohol, Benzene, smoke, CO2 etc. Fast response and High sensitivity Can be used as digital or analog sensor • KY-O37 Microphone Sensor Module Fig-4 KY-037 Microphone Sensor Module This sensor emits a signal if the sensor detects a noise. The sensitivity of the sensor can be adjusted by means of a controller. The module has two outputs: A0 and D0 • CD 4066 Fig-5 CD4066 Quad bilateral switch intended for the multiplexing of analog signals. High noise immunity • LCD Display Module Fig-6 LCD Display Module 16*2 Alphanumeric display with I2C is used Data is continuously displayed on the LCD if the pollution exceeds a set limit. 3.2 SOFTWARE PART For developing the IoT based real time air and noise pollution monitoring system for asthma and angina patients, we have programmed the microcontroller board in C language using Arduino IDE, which contains a text editor for writing code, a message area, a text console, a toolbar with buttons for common functions and a series of
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3429 menus. The consolidated results from the sensors are available to the users through the developed android application. The android application was developed in the Blynk platform, which allows us to quickly build interfaces for controlling and monitoring hardware projects. The result is displayed in the form of gauge widget indicating the levels of pollution. Noise pollution values are available in terms of decibel (dB). Noise levels are categorized as ‘quite’ when the values are less than 60 dB, ‘moderate’ when it is between 60 dB and 85 dB and ‘high’ when it is beyond 85 dB. Air quality values are available in form of parts per million (ppm). It is also distinguished as ‘good’ when the value is less than 50 ppm, ‘moderate’ when it is between 51 and 100 and ‘unhealthy’ when the level is more than 101 ppm. 4. RESULTS AND DISCUSSION The developed air and noise pollution monitoring system is capable of monitoring the air quality as well as the level of noise pollution using gas and sound sensors on real time basis. This data is continuously displayed on a LCD display whenever its value exceeds the set limit. Blynk is an Internet of Things platform which is used for displaying the levels of air and noise pollution so that this information is available for all the users. The result is displayed in the form of gauge widget indicating the levels of pollution. The level of noise pollution is expressed in terms of decibel(dB). Noise level is categorized as ‘quite’ when it is less than 60 dB, ‘moderate’ when it is between 60 dB and 85 dB and ‘high’ when it is beyond 85 dB. Air quality is expressed in terms of parts per million (ppm). It is categorized as ‘good’ when it is below 50 ppm, ‘moderate’ when it is between 51 and 100 and ‘unhealthy’ when the level is more than 101 ppm. Air Quality Indicator Range(ppm) Result 0-50 Good 51-100 Moderate 100 and above Unhealthy Table 1Air Quality Level Sound Quality Level (dB) Result 0-60 Quite 60-85 Moderate 85 and above High Table 2 Sound Quality Level HARDWARE IMPLEMENTATION It is a basic implementation of the proposed hardware system. We have successfully designed and made a hardware of the proposed design. This monitoring system is compact,cost effective and user friendly Fig-7 Hardware Fig-8 Outputs on LCD
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3430 Fig -9 Pollution App 5. ADVANTAGES • The users can monitor the air quality and noise levels on real time basis through blynk. • The app will provide various categories of air quality (good, moderate, unhealthy) and noise levels (quiet, moderate, high) based on threshold limits. • System is compact • Cost effective • User friendly • Information is accessible to both authorities as well as the public. • System is portable 6. FUTURE SCOPE • More parameters can be monitored along with air quality and noise levels by using other sensors. • Control system can be incorporated along with this monitoring system by the use of air purifiers, filters, anti-pollution masks etc for controlling air pollution and acoustic barriers can be used for reducing noise pollution to an optimal level. 7. CONCLUSION The impacts of air pollution and noise pollutions are alarming day by day. So, an efficient monitoring system is necessary. The proposed system continuosly monitors the air quality as well as the noise level using MQ-7,MQ-135 gas sensors and KY-037 microphone sensor module respectively. These data is available on real time basis through an android application. The level of pollution as well as the category of pollution based on threshold is available on this app. These information is useful to both public as well as the authorities. This system is compact, user friendly as well as portable. REFERENCES [1] Janeera.D.A,PoovizhiH, Sheik Haseena.S.S, Nivetha.S ”Smart Embedded Framework using Arduino and IoT for Real-Time Noise and Air Pollution Monitoring and Alert system” 2021 International Conference on Artificial Intelligence and Smart Systems(ICAIS). [2] N. Nowshin and M. S. Hasan, "Microcontroller Based Environmental Pollution Monitoring System though IoT Implementation," 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), IEEE Xplore pp.493498, doi:10.1109/ICREST51555.2021.9331020 [3] A. K. Saha et al., "A raspberry Pi controlled cloud-based air and sound pollution monitoring system with temperature and humidity sensing,"2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC),2018, pp.607-611, doi:10.1109/CCWC.2018.8301660. [4] Rohan Kumar Jha “Air Quality Sensing and Reporting System Using IoT” Second International Conference on Inventive Research in Computing Applications (ICIRCA- 2020) IEEE Xplore Part Number: CFP20N67-ART; ISBN: 978-1-7281-5374. [5] S. Dhingra, R. B. Madda, A. H. Gandomi, R. Patan and M. Daneshmand, "Internet of Things Mobile–Air Pollution Monitoring System (IoT-Mobair)," in IEEE Internet of Things Journal, vol. 6, no. 3, pp. 5577-5584, June 2019. [6] A. R. Al-Ali, Member, IEEE, Imran Zualkernan, and Fadi Aloul, Senior Member, IEEE “A Mobile GPRS-Sensors Array for Air Pollution Monitoring” IEEE SENSORS JOURNAL, VOL 10, OCTOBER 2018 [7] Liu Peng,Fu Danni,Jiang Shengqian,Wang Mingjie , School of Mechanical Science and Engineering Jilin University Chang Chun, China “A Movable Indoor Air Quality Monitoring System” ,2017 2nd International Conference on Cybernetics, Robotics and Control .
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3431 [8]Ramik Rawal, School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology “Air Quality Monitoring System” International Journal of Computational Science and Engineering. ISSN 2249-4251 Volume 9, Number 1 (2019) [9] Kennedy Okokpujie, Etinosa Noma-Osaghae, Odusami Modupe, Samuel John and Oluga Oluwatosin Department of Electrical and Information Engineering, Covenant University, “A SMART AIR POLLUTION MONITORING SYSTEM” International Journal of Civil Engineering and Technology (IJCIET) Volume 9, Issue 9, September 2018 [10] Palaghat Yaswanth Sai Department of Computer Science and Engineering, Narayana Engineering College “An IoT Based Automated Noise and Air Pollution Monitoring System” International Journal of Advanced Research in Computer and Communication Engineering ISO 3297:2007 Certified Vol. 6, Issue 3, March 2017
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