banner
Home > Open Journal Systems

Fuel automata: Smart fuel dispenser using RFID technology and IoT-based monitoring for automotive applications

S. Chandana, C. J. Dhanyashree, K. L. Ashwini, R. Harini, M. Premkumar, Laith Abualigah

Abstract


In the modern era, time holds immense value, and individuals strive to avoid delays in their daily responsibilities. These fuel stations are time-consuming and rely on human labour for efficient operation. With each passing day, the number of vehicles and devices in our technologically advanced world continues to grow rapidly. As a result, customers wait in queues at fuel stations, fuelling their desire to transition to an automated fuel dispensing system and eliminate the manual fuel distribution process from their daily routines. This research paper introduces an innovative smart fuel dis-penser system that leverages RFID technology and IoT-based monitoring to enhance automotive fuelling processes. By addressing the limitations of conventional fuelling systems, this proposed system provides a superior solution that is more efficient and effective. Notably, it offers numerous benefits, such as improved accuracy, efficiency, safety, and sustaina-bility, thereby presenting potential cost savings for fuel station owners and operators. The ongoing project is focused on automating fuel dispensing stations using RFID technology as a highly efficient tool. This approach aims to reduce the traffic congestion typically seen in front of fuel stations by shortening the time required for fuel dispensing compared to traditional manual operations. To enhance control and monitoring capabilities, an Android application has been created. This app allows for the tracking of fuel transactions and transaction history for both customers and fuel station dealers. The system utilizes NodeMCU and the Android app as an Internet-of-Things platform for seamless communication be-tween the system, customers, and dealers. This study presents concrete evidence that supports the viability and potential advantages of the proposed system, emphasizing its capacity to revolutionize the fuelling industry and mitigate carbon emissions. The findings derived from the implemented system have been thoroughly examined, offering an intelligent solution for a sustainable future.

Keywords


Automotive; Fuel Dispenser; Intelligence; Internet-of-Things; RFID

Full Text:

PDF

References


1. Al-Rajaba MM, Alkhederb SA, Hoshangc SA. An Intelligent Location Based Service System (ILBSS) using mobile and spatial technology: A proposal for Abu Dhabi petrol stations. Case Studies on Transport Policy 2017; 24(2): 78–85. doi: 10.1016/j.cstp.2017.01.005.

2. Baqir ZM, Motlak HJ. Smart automatic petrol pump system based on RFID and ESP8266. Journal of Physics: Conference Series 2020; 1993: 012109. doi: 10.1088/1742-6596/1933/1/012109.

3. Nayal A, Gaur M, Kashyap T, Shukla T. Petrol pump automation system. International Journal of Engineering Applied Sciences and Technology 2020; 5(1): 341–345.

4. Sheth S, Patel KH, Patel H. Design of automatic fuel filling system using a mechatronics approach. Robotics and Factories of the Future 2016; 1: 785–795.

5. Naveed M, Habib W, Masud U, et al. Reliable and low-cost RFID-based authentication system for large-scale deployment. International Journal of Network Security 2012; 14: 3: 173–179.

6. Saleh Z, Alsmadi I, Mashhour A. Improving enterprise access security using RFID. International Journal of Computer Science and Information Security 2021; 9: 5.

7. Pranto MB, Rahman MM, Zunayeed-Bin-Zahir. Vehicle fuel monitoring and management using RFID authentication and telematics notification: An automated petrol refueling & notifying system. In: 2019 International Conference on Advanced Computer Science and Information Systems (ICACSIS); 2019 Oct 12–13; Bali, Indonesia. New York: IEEE; 2020. p. 477–482. doi: 10.1109/ICACSIS47736.2019.8979711.

8. Kumar V, Ahmad M, Mishra D, et al. RFID-based secure and efficient authentication protocol for vehicular cloud computing. Vehicular Communications 2019; 22: 1–13. doi: 10.1016/j.vehcom.2019.100213.

9. Chena SM, Wub ME, Suna HM, Wang KH. An RFID system with a cloud database as a backend server. Future Generation Computer Systems 2014; 30: 155–161. doi: 10.1016/j.future.2013.05.004.

10. Kai F, Wei J, Qi L, et al. Cloud-based RFID mutual authentication scheme for efficient privacy-preserving in IoV. Journal of the Franklin Institute 2021; 358(1):193–209. doi: 10.1016/j.jfranklin.2019.02.023.

11. Kondaveeti HK, Kumaravelu NK, Vanambathina SD, et al. A systematic literature review on prototyping with arduino: Applications, challenges, advantages and limitations. Computer Science Review 2021; 40: 100364. doi: 10.1016/j.cosrev.2021.100364.

12. Alsaify BA, Thompson DR, Alma’aitah A. Using dummy data for RFID tag and reader authentication. Digital Communications and Networks 2022; 8(5): 804–813. doi: 10.1016/j.dcan.2021.09.008.

13. Li C, Liang SY, Zhang J, et al. Blockchain-based data trading in edge-cloud computing environment. International Processing and Management 2022; 59(1): 176–187. doi: 10.1016/j.ipm.2021.102786.

14. Prakash D, Kundu T, Kaur P. The RFID technology and its applications: A review. International Journal of Electronics, Communications and Instrumentations Research and Development 2012; 2(3): 109–120.

15. Melo Jr S, Tarelho VG, Bessani AN, et al. Field surveillance of fuel dispensers using IoT-based metering and blockchains. Journal of Network and Computer Applications 2021; 175: 102914. doi: 10.1016/j.jnca.2020.102914.

16. Prasanna TL, Madhusudan Rao PNS. Design of unmanned petrol bunk system using RFID technology. International Journal of Engineering in Advanced Research Science and Technology 2017; 1(4): 459–464.

17. Swapnil PB. Unmanned fuel station. International Journal of Advanced Research in Computer and Communication Engineering 2016; 5(4): 925–928.

18. Jadhav AH, Pawar RS, Pathare PM, et al. Multi automized fuel pump with user security. International Journal of Scientific & Technology Research 2014; 3(5): 132–136.

19. Shreedhar MB, Shivashankara BS. PLC-based automatic fuel dispensing system using RFID technology. International Journal of Engineering Applied Sciences and Technology 2019; 4(1): 89–94.

20. Naveen B, Rashmitha BK, Parthasarathi KS, et al. IOT-based petrol bunk management for self-operation using RFID and Raspberry Pi. International Journal of Recent Technology and Engineering 2019; 8(1C): 216–219.

21. Al-Naima FM, Hasan MM. Design and implementation of RFID-based fuel dispensing system. International Journal of Computing and Network Technology 2015; 3(3): 105–111. doi: 10.12785/IJCNT/030303.

22. Abbas Z. Toll automation system using RFID and web portal. Engineering Proceedings 2022; 20(1): 44. doi: 10.3390/engproc2022020044.

23. Abdulla R, Abdillahi A, Abbas MK. Electronic toll collection system based on radio frequency identification system. International Journal of Electrical and Computer Engineering 2018; 8(3): 1602–1610. doi: 10.11591/ijece.v8i3.pp1602-1610.

24. Khan AI, Alsolami F, Alqurashi F, et al. Novel energy management scheme in IoT-enabled smart irrigation system using optimized intelligence methods. Engineering Applications of Artificial Intelligence 2022; 114: 104996. doi: 10.1016/J.ENGAPPAI.2022.104996.

25. Sarker IH, Khan AI, Abushark YB, Alsolami F. Internet of Things (IoT) security intelligence: A comprehensive overview, machine learning solutions and research directions. Mobile Networks and Applications 2022; 1: 1–17. doi: 10.1007/S11036-022-01937-3.

26. Almalawi A, Alsolami F, Khan AI, et al. An IoT-based system for magnify air pollution monitoring and prognosis using hybrid artificial intelligence technique. Environmental Research 2022; 206: 112576. doi: 10.1016/J.ENVRES.2021.112576.

27. Irshad K, Almalawi A, Khan AI, et al. An IoT-based thermoelectric air management framework for smart building applications: A case study for tropical climate. Sustainability 2020; 12(4): 1564. doi: 10.3390/SU12041564.




DOI: https://doi.org/10.32629/jai.v6i1.682

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 S. Chandana, C. J. Dhanyashree, K. L. Ashwini, R. Harini, M. Premkumar, Laith Abualigah

License URL: https://creativecommons.org/licenses/by-nc/4.0