skip to main content

Real-Time Fuel Consumption Monitoring System Integrated With Internet Of Things (IOT)

*Adella Winanda Hapsari  -  Department of Marine Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
Hari Prastowo  -  Department of Marine Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
Trika Pitana  -  Department of Marine Engineering, Institut Teknologi Sepuluh Nopember, Indonesia

Citation Format:
Cover Image

Fuel is an important aspect in the operation of ships that require high costs. The high cost of fuel is not followed by an automatic fuel monitoring process. By not using the fuel consumption monitoring method that works automatically, the shipping management does not know for sure the ship's fuel consumption is in accordance with the shipping mileage, thus triggering fraud committed by the ship's crew against the ship's fuel. Fuel consumption monitoring is carried out primarily to identify opportunities to improve energy efficiency and reduce costs. By following technological developments, Internet of Things (IoT) technology has begun to be applied in various industrial fields because it can transmit data in real-time via the internet network without human-to-human or human-to-computer interaction. In this research, the design of models and experiments related to a monitoring system for fuel consumption was carried out using sensors and microcontrollers integrated with the internet to obtain accurate and real-time data. The test results show that the volume of fuel available in the tank, the volume of fuel discharged, the flow rate of fuel, and the location of the system can be known by the user in real-time via the IoT website. Based on the results of measurements using an ultrasonic level sensor, it is known that the measurement results are quite accurate with a deviation of ± 0.5 cm. Meanwhile, the measurement results by the flow sensor are less accurate because the fuel flow only relies on the force of gravity.

Note: This article has supplementary file(s).

Fulltext View|Download |  Research Results
Data Retrieval
Type Research Results
  Download (391KB)    Indexing metadata
Keywords: Fuel Consumption Monitoring; Internet of Things; Microcontroller; Real-Time

Article Metrics:

Article Info
Section: Research Articles
Language : EN
  1. M. Stopford, Maritime Economics 3e, 3rd ed. New York: Routledge, 2009
  2. I. Rojon and T. Smith, “On the attitudes and opportunities of fuel consumption monitoring and measurement within the shipping industry and the identification and validation of energy efficiency and performance interventions,” London, 2014
  3. K. K. Patel, S. M. Patel, and P. G. Scholar, “Internet of Things-IOT: Definition, Characteristics, Architecture, Enabling Technologies, Application & Future Challenges,” International Journal of Engineering Science and Computing, vol. 6, no. 5, 2016. doi: 10.4010/2016.1482
  4. C. Capezza, S. Coleman, A. Lepore, B. Palumbo, and L. Vitiello, “Ship fuel consumption monitoring and fault detection via partial least squares and control charts of navigation data,” Transportation Research Part D: Transport and Environment, vol. 67, no. December 2018, pp. 375–387, 2019. doi: 10.1016/j.trd.2018.11.009
  5. A. Hakimelahi, K. V. K. Rao, S. L. Dhingra, and S. Borzooei, “Fuel Consumption Monitoring for Travel Demand Modeling,” Transportation Research Procedia, vol. 17, no. December 2014, pp. 703–712, 2016. doi: 10.1016/j.trpro.2016.11.127
  6. A. T. A. Wijaya, I. M. Ariana, D. W. Handani, and H. N. Abdillah, “Fuel Oil Consumption Monitoring and Predicting Gas Emission Based on Ship Performance using Automatic Identification System (AISITS) Data,” IOP Conference Series: Earth and Environmental Science, vol. 557, no. 1, 2020. doi: 10.1088/1755-1315/557/1/012017
  7. T. Pitana, E. Kobayashi, and N. Wakabayashi, “Estimation of exhaust emissions of marine traffic using Automatic Identification System data (Case Study: Madura Strait area, Indonesia),” Ocean. IEEE Sydney, Ocean. 2010, no. x, 2010. doi: 10.1109/OCEANSSYD.2010.5603866
  8. S. Nižetić, P. Šolić, D. López-de-Ipiña González-de-Artaza, and L. Patrono, “Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future” Journal of Cleaner Production, vol. 274, 2020. doi: 10.1016/j.jclepro.2020.122877
  9. P. Osterrieder, L. Budde, and T. Friedli, “The smart factory as a key construct of industry 4.0: A systematic literature review,” International Journal of Production Economics, vol. 221, 2020. doi: 10.1016/j.ijpe.2019.08.011
  10. G. Sivanageswara Rao, K. Raviteja, G. Phanindra, and D. Vignesh, “Analysis of internet of things concept for the application of smart cities,” International Journal of Advanced Science and Technology, vol. 29, no. 3, 2020
  11. M. M. Martín-Lopo, J. Boal, and Á. Sánchez-Miralles, “A literature review of IoT energy platforms aimed at end users,” Computer Networks, vol. 171, 2020. doi: 10.1016/j.comnet.2020.107101
  12. A. Villa-Henriksen, G. T. C. Edwards, L. A. Pesonen, O. Green, and C. A. G. Sørensen, “Internet of Things in arable farming: Implementation, applications, challenges and potential,” Biosystems Engineering, vol. 191. 2020. doi: 10.1016/j.biosystemseng.2019.12.013
  13. N. Voca and B. Ribic, “Biofuel production and utilization through smart and sustainable biowaste management,” Journal of Cleaner Production, vol. 259, 2020. doi: 10.1016/j.jclepro.2020.120742
  14. B. Farahani, M. Barzegari, F. Shams Aliee, and K. A. Shaik, “Towards collaborative intelligent IoT eHealth: From device to fog, and cloud,” Microprocessors and Microsystems, vol. 72, 2020. doi: 10.1016/j.micpro.2019.102938
  15. S. Porru, F. E. Misso, F. E. Pani, and C. Repetto, “Smart mobility and public transport: Opportunities and challenges in rural and urban areas,” Journal of Traffic and Transportation Engineering (English Edition), vol. 7, no. 1. 2020. doi: 10.1016/j.jtte.2019.10.002
  16. Y. Li, M. Gao, L. Yang, C. Zhang, B. Zhang, and X. Zhao, “Design of and research on industrial measuring devices based on Internet of Things technology,” Ad Hoc Networks, vol. 102, 2020. doi: 10.1016/j.adhoc.2020.102072
  17. A. Janik, A. Ryszko, and M. Szafraniec, “Scientific landscape of smart and sustainable cities literature: A bibliometric analysis,” Sustainability , vol. 12, no. 3, 2020. doi: 10.3390/su12030779
  18. Y. Xin and F. Tao, “Developing climate-smart agricultural systems in the North China Plain,” Agriculture, Ecosystems & Environment, vol. 291, 2020. doi: 10.1016/j.agee.2019.106791
  19. K. Dhana Shree, B. Janani, R. Reenadevi, and R. Rajesh, “Garbage monitoring system using smart bins,” International Journal Of Scientific & Technology Research, vol. 8, no. 11, 2019
  20. A. Papa, M. Mital, P. Pisano, and M. Del Giudice, “E-health and wellbeing monitoring using smart healthcare devices: An empirical investigation,” Technological Forecasting and Social Change, vol. 153, 2020. doi: 10.1016/j.techfore.2018.02.018
  21. M. Rishav, R. Maity, D. Ghosh, V. N. Ganesh, and Sivakumar, “Internet of thing based smart power grid for smart city,” International Journal of Recent Technology and Engineering., vol. 8, no. 1 Special Issue 4, 2019
  22. A. Chugh, C. Jain, and V. P. Mishra, “IoT-Based Multifunctional Smart Toy Car,” in Lecture Notes in Networks and Systems, vol. 103, 2020. doi: 10.1007/978-981-15-2043-3_50
  23. C. Babu and V. Prakash, “Real Time Tracking and Fuel Monitoring of Truck using IoT,” International Journal of Pure and Applied Mathematics, vol. 120, no. 6, 2018
  24. S. Geetha and D. Cicilia, “IoT enabled intelligent bus transportation system,” in Proceedings of the 2nd International Conference on Communication and Electronics Systems, ICCES 2017, 2018
  25. P. Fraga-Lamas, T. M. Fernández-Caramés, and L. Castedo, “Towards the internet of smart trains: A review on industrial IoT-connected railways,” Sensors (Switzerland), vol. 17, no. 6, 2017. doi: 10.3390/s17061457
  26. A. Ansori, “Studi Pemanfaatan Internet of Things dan Data Mining untuk Pengawasan Bahan Bakar Minyak (Studi Kasus: Perusahaan Pelayaran Penumpang Nasional),” Wave Jurnal Ilmiah Teknologi Maritim, vol. 12, no. 1, pp. 31–42, 2018. doi: 10.29122/jurnalwave.v12i1.2915
  27. Z. M. L. Ansari, “Design and control of compact legged-wheeled robot ‘Spicar,’”. Thesis. Birmingham City University, 2017

Last update:

No citation recorded.

Last update: 2021-10-28 16:02:53

No citation recorded.