Mhia Md. Zaglul Shahadat, Avijit Mallik, Md. Monowarul Islam

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Liquefied Petroleum Gas (LPG) is used in many ranges of applications like home and industrial appliances, in vehicles and as a propellant and refrigerator. However, leakage of LPG produces hazardous and toxic impact on human begins and other living creatures. There by, the authors developed a system to monitor the LPG gas leakage and make alert to users of it. In this research, MQ-6 gas sensor is used for sensing the level of gas concentration of a closed volume; and to monitor the consequences of environmental changes an IoT platform has been introduced. Robust control along with cloud based manual control has been applied so that the gas leakage can be prevented in the response of either feedback or feedforward commands individually. It switches on the specified relays to control the level of gas concentration in the time of leakage the excess gas in times of leakage. It rechecks the value again and again if it crosses 300 ppm it will setup a relay-based switching on control mechanism using Thingspeak cloud. The controller used here is Node-MCU v:1.0. This research provides design approach on both software and hardware. Hence an embedded system comprising of Relay switches, Embedded C++, Gas sensor, Temperature & Humidity sensor along with Internet of Things (IoT) is fabricated to meet the objectives of the current research.


Internet of Things, Smart System, Gas Leakage Control, Embedded System

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J. Wang, M. Tong, X. Wang, Y. Ma, D. Liu, J. Wu, D. Gao & G. Du, "Preparation of H2 and LPG gas sensor", Sensors and Actuators B: Chemical, vol. 84, no. 2-3, 95–97, 2002.

M. Miftakul Amin, M. Azel Aji Nugratama, Andino Maseleno, Miftachul Huda, and Kamarul Azmi Jasmi. "Design of cigarette disposal blower and automatic freshner using mq-5 sensor based on atmega 8535 microcontroller." International Journal of Engineering & Technology, vol. 7, no. 3, pp. 1108–1113, 2018.

N. Sinha, K. Eswari Pujitha, and J. Sahaya Rani Alex, "Xively based sensing and monitoring system for IoT", In Proceedings of the IEEE International Conference on Computer Communication and Informatics (ICCCI), 2015, pp. 1–6, 2015.

A. Mallik, S. A. Hossain, A. B. Karim, & S. M. Hasan, "Development of LOCAL-IP based Environmental Condition Monitoring using Wireless Sensor Network", International Journal of Sensors, Wireless Communications and Control, vol. 9, pp. 1–8, 2019.

K. Keshamoni, and S. Hemanth. "Smart Gas Level Monitoring, Booking & Gas Leakage Detector over IoT", In Proceedings of the 2017 IEEE 7th International Advance Computing Conference (IACC), pp. 330-332. 2017.

A. Mallik, A. Ahsan, M. M. Z. Shahadat and J. C. Tsou. “Man-in-the-middle-attack: Understanding in simple words.” Int. J. Data Networks and Security, (2019)

V. Yadav, A. Shukla, S. Bandra, V. Kumar, U. Ansari, and S. Khanna. "A Review On Iot Based Hazardous Gas Leakage Detection & Controlling System Using Microcontroller & Gsm Module." Journal of VLSI Design and Signal Processing, vol. 3, no. 1, 2017.

M. Sharma, D. Tripathi, N. P. Yadav, and P. Rastogi, "Gas Leakage Detection and Prevention Kit Provision with IoT." Gas, vol. 5, no. 02, 2018.

A. J. Moshayedi, M. V. Kukade, and D. Gharpure, "Electronic-nose (E-nose) for recognition of Cardamom, Nutmeg and Clove oil odor", 2014.

V. V. Alekseev, V. S. Konovalova, and E. N. Sedunova, "Information-measurement and control system “smart house” as object of practice-oriented training of master's degree “instrumentation technology”", In Proceedings of the International Conference "Quality Management, Transport and Information Security, Information Technologies"(IT&QM&IS), 2017, pp. 612–615.

S. I. Sabilla, R. Sarno, and J. Siswantoro. "Estimating gas concentration using artificial neural network for electronic nose", Procedia Computer Science, vol. 124, pp. 181–188, 2017.

Y. P. Tsang, K. L. Choy, C. H. Wu, G. T. S. Ho, H. Y. Lam, and P. S. Koo. "An IoT-based cargo monitoring system for enhancing operational effectiveness under a cold chain environment." International Journal of Engineering Business Management, vol. 9, 1847979017749063, 2017.

A. B. Karim, A. Z. Hassan, and M. M. Akanda. "Monitoring food storage humidity and temperature data using IoT." MOJ Food Process Technol, vol. 6, no. 4, pp. 400–404, 2018.

J. Mari, J. Maja, J. Robbins, "Controlling irrigation in a container nursery using IoT", AIMS Agriculture and Food, vol. 3, no. 3, pp. 205–215, 2018.

A. Brandt, "A signal processing framework for operational modal analysis in time and frequency domain", Mechanical Systems and Signal Processing, vol. 115, pp. 380–393, 2019.

S. A. Hossain, M. Hossen, and S. Anower, "Estimation of damselfish biomass using an acoustic signal processing technique", Journal of Ocean Technology, vol. 13, no. 2, 2018.

S. Mariani, L. Tarokh, I. Djonlagic, B. E. Cade, M. G. Morrical, K. Yaffe, K. L. Stone et al, "Evaluation of an automated pipeline for large-scale EEG spectral analysis: the National Sleep Research Resource", Sleep medicine, vol. 47, pp. 126–136, 2018.

TNS Tengku Zawawi, A. R. Abdullah, W. T. Jin, R. Sudirman, and N. M. Saad, "Electromyography Signal Analysis Using Time and Frequency Domain for Health Screening System Task", International Journal of Human and Technology Interaction (IJHaTI), vol. 2, no. 1, pp. 35–44, 2018.

S. A. Hossain, M. Hossen, A. Mallik, and S. Mahmudul Hasan, "A Technical Review on Fish Population Estimation Techniques: Non-Acoustic and Acoustic Approaches." Akustika, vol. 31, pp. 87–103, 2019.

Regalia, Phillip. Adaptive IIR filtering in signal processing and control. Routledge, 2018.

B. Boashash, A. Aïssa-El-Bey, and M. F. Al-Sa’d. "Multisensor Time–Frequency Signal Processing MATLAB package: An analysis tool for multichannel non-stationary data", SoftwareX, 2018.

A. E. Cohen, "Automated HDL signal processing deployment performance from high level MATLAB specification for an unmanned aerial vehicle (UAV)", In Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), 2018, pp. 900-905. IEEE, 2018.

Van Drongelen, Wim. Signal processing for neuroscientists. Academic press, 2018.

S. A. Hossain, A. Mallik, and Md Arefin, "A signal processing approach to estimate underwater network cardinalities with lower complexity", Journal of Electrical and Computer Engineering Innovations, vol. 5, no. 2, pp. 131–138, 2017.

U. Yilmaz, A. Kircay, and S. Borekci, "PV system fuzzy logic MPPT method and PI control as a charge controller", Renewable and Sustainable Energy Reviews, vol. 81, pp. 994–1001, 2018.

W. He, T. Meng, D. Huang, and X. Li, "Adaptive boundary iterative learning control for an Euler–Bernoulli beam system with input constraint", IEEE transactions on neural networks and learning systems, vol. 29, no. 5, pp. 1539–1549, 2018.

Steven Walczak, "Artificial neural networks." In Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction, pp. 40-53. IGI Global, 2019.


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