Toward an Advanced Gas Composition Measurement Device for Chemical Reaction Analysis

Authors

  • Fajriansya Gonibala Universitas Ahmad Dahlan
  • Siti Jamilatun Universitas Ahmad Dahlan
  • Shinta Amelia Universitas Ahmad Dahlan
  • Alfian Ma’arif Universitas Ahmad Dahlan
  • Muhammad Haryo Setiawan Universitas Ahmad Dahlan

DOI:

https://doi.org/10.12928/biste.v5i4.9249

Keywords:

Gas measurement, MQ Sensor, Arduino

Abstract

The research details the development of a reactor-based monitoring system designed to identify and monitor gases generated within industrial chemical reactors. Consisting of nine MQ and DHT11 sensors, this reactor design allows for simultaneous measurement of temperature and humidity within the sample. Using a sensor array methodology, this research utilizes multiple sensors to collect and process analog signals to improve the accuracy of gas identification within samples. These analog signals obtained from the sensors are processed by an Arduino Mega 2560 microcontroller using the Arduino IDE software. The research, conducted on ten different samples, shows methane (CH4), hydrogen (H2), and alcohol (C2H6O) as the most concentrated gases. Notably, certain samples such as batik waste, honey, Robusta coffee, and sambal have a significant impact on methane gas concentrations. In addition, substances such as Robusta Coffee, Sprite, Syrup, and Oyster Sauce have a significant effect on hydrogen gas concentrations, while Robusta Coffee, Sambal, Arabica Coffee, and Pepper have a significant effect on alcohol gas concentrations. In addition, of the nine MQ sensors used, the MQ3, MQ4, and MQ8 are particularly effective at detecting alcohol, methane, and hydrogen gases, respectively, in the samples tested.

References

S. Shende et al., "Metal-Based Green Synthesized Nanoparticles: Boon for Sustainable Agriculture and Food Security," IEEE Transactions on NanoBioscience, vol. 21, no. 1, pp. 44-54, 2022, https://doi.org/10.1109/TNB.2021.3089773.

T. He, W. Wang, B. -G. He and J. Chen, "Review on Optical Fiber Sensors for Hazardous-Gas Monitoring in Mines and Tunnels," IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-22, 2023, https://doi.org/10.1109/TIM.2023.3273691.

T. Madan, S. Sagar and D. Virmani, "Air Quality Prediction using Machine Learning Algorithms –A Review," 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), pp. 140-145, 2020, https://doi.org/10.1109/ICACCCN51052.2020.9362912.

D. M. Mehta, P. Kundu, A. Chowdhury, V. K. Lakhiani and A. S. Jhala, "A review on critical evaluation of natural ester vis-a-vis mineral oil insulating liquid for use in transformers: Part 1," IEEE Transactions on Dielectrics and Electrical Insulation, vol. 23, no. 2, pp. 873-880, 2016, https://doi.org/10.1109/TDEI.2015.005370.

A. Verma, S. Prakash, V. Srivastava, A. Kumar and S. C. Mukhopadhyay, "Sensing, Controlling, and IoT Infrastructure in Smart Building: A Review," IEEE Sensors Journal, vol. 19, no. 20, pp. 9036-9046, 2019, https://doi.org/10.1109/JSEN.2019.2922409.

F. N. Abbas, I. M. Saadoon, Z. K. Abdalrdha, and E. N. Abud, “Capable of gas sensor MQ-135 to monitor the air quality with arduino uno,” Int. J. Eng. Res. Technol., vol. 13, no. 10, pp. 2955–2959, 2020, https://dx.doi.org/10.37624/IJERT/13.10.2020.2955-2959.

M. A. Subramanian, N. Selvam, S. Rajkumar, R. Mahalakshmi and J. Ramprabhakar, "Gas Leakage Detection System using IoT with integrated notifications using Pushbullet-A Review," 2020 Fourth International Conference on Inventive Systems and Control (ICISC), pp. 359-362, 2020, https://doi.org/10.1109/ICISC47916.2020.9171093.

A. Kumar and R. Nandal, "A Review Paper on Drunk Driving Detection System using IOT & ML Techniques," 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT), pp. 190-197, 2022, https://doi.org/10.1109/CCiCT56684.2022.00045.

I. S. P. Nagahage, E. A. A. D. Nagahage, and T. Fujino, “Assessment of the applicability of a low-cost sensor–based methane monitoring system for continuous multi-channel sampling,” Environ. Monit. Assess., vol. 193, no. 8, 2021, https://doi.org/10.1007/s10661-021-09290-w.

M. Miftakul Amin, M. Azel Aji Nugratama, A. Maseleno, M. Huda, and K. A. Jasmi, “Design of cigarette disposal blower and automatic freshner using MQ-5 sensor based on atmega 8535 microcontroller,” Int. J. Eng. Technol., vol. 7, no. 3, pp. 1108–1113, 2018, https://doi.org/10.14419/ijet.v7i3.11917.

T. V. Hin and N. I. Ramli, “Design and Development of a Salbutamol Intake Detector for Low Respiratory Treatment,” IOP Conf. Ser. Mater. Sci. Eng., vol. 226, no. 1, 2017, https://doi.org/10.1088/1757-899X/226/1/012142.

N. Kobbekaduwa, W. R. De Mel, and P. Oruthota, “Calibration and Implementation of Heat Cycle Requirement of MQ-7 Semiconductor Sensor for Detection of Carbon Monoxide Concentrations,” Adv. Technol., vol. 1, no. 2, pp. 377–392, 2021, https://doi.org/10.31357/ait.v1i2.5068.

D. A. H. Fakra, D. A. S. Andriatoavina, N. A. M. N. Razafindralambo, K. abdallah Amarillis, and J. M. M. Andriamampianina, “A simple and low-cost integrative sensor system for methane and hydrogen measurement,” Sensors Int., vol. 1, no. August, 2020, https://doi.org/10.1016/j.sintl.2020.100032.

A. A. Chaudhry, R. Mumtaz, S. M. Hassan Zaidi, M. A. Tahir and S. H. Muzammil School, "Internet of Things (IoT) and Machine Learning (ML) enabled Livestock Monitoring," 2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), pp. 151-155, 2020, https://doi.org/10.1109/HONET50430.2020.9322666.

R. Pauliukaite and E. Voitechovič, “Multisensor Systems and Arrays for Medical Applications Employing Naturally-Occurring Compounds and Materials,” Sensors, vol 20, no. 12, pp. 3551, 2020, https://doi.org/10.3390/s20123551.

M. Ahmad Baballe, U. Yusuf Magashi, B. Ibrahim Garko, A. Abdullahi Umar, Y. Rabiu Magaji, and M. Surajo, “Automatic Gas Leakage Monitoring System Using MQ-5 Sensor,” Rev. Comput. Eng. Res., vol. 8, no. 2, pp. 64–75, 2021, https://doi.org/10.18488/journal.76.2021.82.64.75.

P. Naveen, K. R. Teja, K. S. Reddy, S. M. Sam, M. D. Kumar and M. Saravanan, "A Comprehensive Review on Gas Leakage Monitoring and Alerting System using IoT Devices," 2022 International Conference on Computer, Power and Communications (ICCPC), pp. 242-246, 2022, https://doi.org/10.1109/ICCPC55978.2022.10072144.

T. Novak, N. Thumula, M. Chen and Z. Chen, "Design and characterization of breath analysis system for BAC prediction," 2015 IEEE Virtual Conference on Applications of Commercial Sensors (VCACS), pp. 1-5, 2015, https://doi.org/10.1109/VCACS.2015.7439572.

M. Raza, N. Aslam, H. Le-Minh, S. Hussain, Y. Cao and N. M. Khan, "A Critical Analysis of Research Potential, Challenges, and Future Directives in Industrial Wireless Sensor Networks," IEEE Communications Surveys & Tutorials, vol. 20, no. 1, pp. 39-95, 2018, https://doi.org/10.1109/COMST.2017.2759725.

T. M. J. Derryn, M. Sindhu, B. M. I. Thusnavis, and J. Paul, “Microcontroller based gas leakage detection with SMS alert and automatic locking system,” 2nd Int. Conf. Signal Process. Commun. ICSPC 2019 - Proc., pp. 182–186, 2019, https://doi.org/10.1109/ICSPC46172.2019.8976583.

U. Rahmalisa, A. Febriani, and Y. Irawan, “Detector leakage gas LPG based on telegram notification using wemos D1 and MQ-6 sensor,” J. Robot. Control, vol. 2, no. 4, pp. 287–290, 2021, https://doi.org/10.18196/jrc.2493.

A. Tommy, “Implementation of a Gas Leakage Detection System Using the MQ-6 Sensor,” Brill. Res. Artif. Intell., vol. 2, no. 1, pp. 17–21, 2022, https://doi.org/10.47709/brilliance.v2i1.1536.

R. Rodriguez-Huerta, J. Martinez-Castillo, E. Morales-Gonzalez, and A. L. Herrera-May, “Development of a monitoring system for CO/CO2 with android,” 2019 IEEE Int. Conf. Eng. Veracruz, ICEV 2019, 2019, https://doi.org/10.1109/ICEV.2019.8920673.

R. Firdaus, M. A. Murti, and I. Alinursafa, “Air quality monitoring system based internet of things (IoT) using LPWAN LoRa,” Proc. - 2019 IEEE Int. Conf. Internet Things Intell. Syst. IoTaIS 2019, pp. 195–200, 2019, https://doi.org/10.1109/IoTaIS47347.2019.8980437.

D. Anggoro, M. Rifki Hidayat, R. P. Putra, R. A. Wiranata, and I. Fatimah, “Optimization of CO and CO2Gas Reduction System Based on Electrostatic Precipitator (ESP),” J. Phys. Conf. Ser., vol. 1951, no. 1, 2021, https://doi.org/10.1088/1742-6596/1951/1/012037.

B. K. Moharana, P. Anand, S. Kumar, and P. Kodali, “Development of an IoT-based Real-Time Air Quality Monitoring Device,” Proc. 2020 IEEE Int. Conf. Commun. Signal Process. ICCSP 2020, pp. 191–194, 2020, https://doi.org/10.1109/ICCSP48568.2020.9182330.

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Published

2023-12-28

How to Cite

[1]
F. Gonibala, S. Jamilatun, S. Amelia, A. Ma’arif, and M. H. Setiawan, “Toward an Advanced Gas Composition Measurement Device for Chemical Reaction Analysis”, Buletin Ilmiah Sarjana Teknik Elektro, vol. 5, no. 4, pp. 525–538, Dec. 2023.

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