Solar-powered Mobile Robot for Monitoring Gas Distribution Leaky Pipes Using IoT Application
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Abstract
The constraints of gas distribution pipe leak monitoring robots in outdoor environments are the limited battery capacity and the method used as a monitoring system to assist the work of gas pipe leak inspection officers, which takes a long time. Therefore, the robot requires independent battery charging and real-time monitoring systems. This study resulted in a solar-powered gas distribution pipe leak monitoring robot that can provide real-time information on the robot's battery capacity and gas odor concentration data along the inspected gas distribution pipe. This robot can directly channel electrical power to the robot's battery using solar energy. This Mobile Robot uses a Photovoltaic (PV) module, Light Detection and Ranging (LiDAR), a Compass, a gas sensor, a voltage sensor, a current sensor, an ATMEGA 2560 Microcontroller, and Node MCU V3 ESP8266. The Internet of Things (IoT) application uses the Blynk application to monitor battery capacity and the concentration value of gas odor detected by the robot. The test results show that by using the PV + battery module, this mobile robot can work for more than 60 minutes compared to using only the battery for around 55 minutes. This work was successfully implemented based on IoT performance using the Blynk Application to monitor battery capacity conditions of voltage and current data and gas concentration data. It is also shown that the average delay time for sending data from voltage, current, and gas sensors to the Blynk application was around 0.226 seconds.
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References
P. Borowik, L. Adamowicz, R. Tarakowski, K. Siwek, and T. Grzywacz, “Odor detection using an e-nose with a reduced sensor array,” Sensors (Switzerland), vol. 20, no. 12, pp. 1–20, 2020, doi: 10.3390/s20123542. DOI: https://doi.org/10.3390/s20123542
J. Burgués, M. D. Esclapez, S. Doñate, and S. Marco, “RHINOS: A lightweight portable electronic nose for real-time odor quantification in wastewater treatment plants,” iScience, vol. 24, no. 12, 2021, doi: 10.1016/j.isci.2021.103371. DOI: https://doi.org/10.1016/j.isci.2021.103371
J. Crimaldi et al., “Active sensing in a dynamic olfactory world,” Journal of Computational Neuroscience, vol. 50, no. 1, pp. 1–6, 2022, doi: 10.1007/s10827-021-00798-1. DOI: https://doi.org/10.1007/s10827-021-00798-1
S. Hassan, L. Wang, and K. R. Mahmud, “Robotic Odor Source Localization via Vision and Olfaction Fusion Navigation Algorithm,” Sensors, vol. 24, no. 7, pp. 1–19, 2024, doi: 10.3390/s24072309. DOI: https://doi.org/10.3390/s24072309
J. Wang, Y. Lin, R. Liu, and J. Fu, “Odor source localization of multi-robots with swarm intelligence algorithms: A review,” Frontiers in Neurorobotics, vol. 16, 2022, doi: 10.3389/fnbot.2022.949888. DOI: https://doi.org/10.3389/fnbot.2022.949888
A. Francis, S. Li, C. Griffiths, and J. Sienz, “Gas source localization and mapping with mobile robots: A review,” Journal of Field Robotics, vol. 39, no. 8, pp. 1341–1373, 2022, doi: 10.1002/rob.22109. DOI: https://doi.org/10.1002/rob.22109
W. A. S. Norzam et al., “Mobile Robot Gas Source Localization Using SLAM-GDM with a Graphene-Based Gas Sensor,” Electronics (Switzerland), vol. 12, no. 1, pp. 1–17, 2023, doi: 10.3390/electronics12010171. DOI: https://doi.org/10.3390/electronics12010171
D. McNulty, A. Hennessy, M. Li, E. Armstrong, and K. M. Ryan, “A review of Li-ion batteries for autonomous mobile robots: Perspectives and outlook for the future,” Journal of Power Sources, vol. 545, pp. 1–22, 2022, doi: 10.1016/j.jpowsour.2022.231943. DOI: https://doi.org/10.1016/j.jpowsour.2022.231943
A. Rastegarpanah et al., “Towards robotizing the processes of testing lithium-ion batteries,” Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, vol. 235, no. 8, pp. 1309–1325, 2021, doi: 10.1177/0959651821998599. DOI: https://doi.org/10.1177/0959651821998599
N. Evalina, F. Irsan Pasaribu, and A. Azis Hutasuhut, “The Use of Solar Power in Liquid Spraying Robots,” Engineering and Applied Technology, vol. 1, no. 2, pp. 131–135, 2023.
I. Miah, S. Sultan, J. Wangchuk, and S. R, “Development of Solar Power Agriculturally Based Fruit Picking Robot,” ESP Journal of Engineering & Technology Advancements, vol. 2, no. 4, pp. 54–59, 2023, doi: 10.56472/25832646/jeta-v3i1p109. DOI: https://doi.org/10.56472/25832646/JETA-V3I1P109
C. C. Alpe, H. Pandey, and S. Kolte, “Solar-powered Reconnaissance Robot,” International Journal of Novel Research and Development (IJNRD), vol. 7, no. 5, pp. 326–334, 2022.
N. Duc-Nam, V. Le-Huy, L. Trong-An, N. Dinh-Trung, and N. H. Viet-Anh, “Design and Implementation of a Solar-Powered Mobile Robot for Transportation Application,” Universal Journal of Mechanical Engineering, vol. 12, no. 2, pp. 17–24, 2024, doi: 10.13189/ujme.2024.120201. DOI: https://doi.org/10.13189/ujme.2024.120201
N. Nireekshana, M. A. Goud, R. B. Shankar, and G. N. Sai Chandra, “Solar Powered Multipurpose Agriculture Robot,” International Journal of Innovative Science and Research Technology, vol. 8, no. 5, p. 299, 2023.
A. Ghobadpour, A. Cardenas, G. Monsalve, and H. Mousazadeh, “Optimal Design of Energy Sources for a Photovoltaic/Fuel Cell Extended-Range Agricultural Mobile Robot,” Robotics, vol. 12, no. 1, pp. 1–22, 2023, doi: 10.3390/robotics12010013. DOI: https://doi.org/10.3390/robotics12010013
S. M. Popescu et al., “Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management,” Frontiers in Environmental Science, vol. 12, pp. 1–19, 2024, doi: 10.3389/fenvs.2024.1336088. DOI: https://doi.org/10.3389/fenvs.2024.1336088
F. Prasetia and B. Soewito, “Iot system for leak detection and monitoring of liquefied petroleum gas,” Journal of Theoretical and Applied Information Technology, vol. 98, no. 15, pp. 3000–3010, 2020.
D. Jeevitha, K. Aarthi, T. Yashika, T. Pasavakeerthi, and P. C. S. M. E, “Iot-based Gas Monitoring in Poultry Farms: Enhancing Odor and Flies Management,” International Research Journal of Modernization in Engineering Technology and Science, vol. 6, no. 5, p. 927, 2024, doi: 10.56726/IRJMETS55439.
M. P. Kalpana*, M. S. Kumar, M. S. Vignesh, and V. R, “Gas Leak Detection, Monitoring and Safety System using IOT,” International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 6, pp. 4785–4787, 2020, doi: 10.35940/ijrte.f9041.038620. DOI: https://doi.org/10.35940/ijrte.F9041.038620
D. A. P. Wardhana, D. C. Happyanto, E. Purwanto, G. E. A. Akbar, and K. T. Putra, “AutoDock-IPS: An Automated Docking for Mobile Robot Based on Indoor Positioning System,” Journal of Electrical Technology UMY, vol. 5, no. 1, pp. 32–39, 2021, doi: 10.18196/jet.v5i1.12310. DOI: https://doi.org/10.18196/jet.v5i1.12310
H. S. Nugroho and T. Sutikno, “Fire Extinguisher Wheel Robot Based on Arduino Mega 2560 R3 with Android Smartphone Control,” Buletin Ilmiah Sarjana Teknik Elektro, vol. 3, no. 1, pp. 31–40, 2021, doi: 10.12928/biste.v3i1.1760. DOI: https://doi.org/10.12928/biste.v3i1.1760
Saut Situmorang, “Application of Roboduino ATMega 2560 in the Making of the Fire Extinguisher Beetle Robot,” Journal of Science Technology (JoSTec), vol. 2, no. 1, pp. 54–59, 2020, doi: 10.55299/jostec.v2i1.53. DOI: https://doi.org/10.55299/jostec.v2i1.53