IoT Based Smart Fuel Monitoring System
Vijayakumar P.1, Ganesan V.2, Pratik Patwari3, Rajnandini Singh4, Sharmila A.5, Payal P. Tayade6, R. Rajashree7, M. Tamilselvi8
1Vijayakumar P, School of Electronics Engineering, VIT University, Chennai, (Tamil Nadu), India.
2Ganesan V, ETCE Dept., Sathyabama University, Chennai,(Tamil Nadu), India.
3Pratik Patwari, School of Electronics Engineering, VIT University, Chennai, (Tamil Nadu), India.
4Rajnandini Singh, School of Electronics Engineering, VIT University, Chennai, (Tamil Nadu), India.
5Sharmila A, ECE Dept., Krishna Engineering College, Ghaziabad, Delhi, India.
6Payal P. Tayade, School of Electronics Engineering, VIT Chennai, (Tamil Nadu), India.
7R .Rajashree , Former Assistant professor, GKM College of Engineering & Technology, Chennai, (Tamil Nadu), India.
8M. Tamilselvi, Mechatronics Department, T.S. Srinivasan Centre of Polytechnic and Advanced Training, Chennai, India.
Manuscript received on 13 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 July 2019 | PP: 14-20 | Volume-8 Issue-2, July 2019 | Retrieval Number: A1146058119/19©BEIESP | DOI: 10.35940/ijrte.A1146.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In today’s fast paced world, monitoring systems are necessary to track the changes in the environment for better understanding of current scenarios and predictions thereof. The same is true for fuel tanks in vehicles as well. By keeping strict track of fuel intake and consumption, vehicles can be made more fuel and cost efficient. This can be done using remote monitoring and data collection systems deployed at the site of the fuel storage tank. This proposed monitoring device is built on Atmega16 computer that takes fuel tank level information from its sensors and analyses this data at the sensor edge to find patterns using edge analytics technology. These patterns and data are streamed to the internet, either an android app or a website. This paper presents the implementation of such a monitoring system based on Internet of Things (IoT) technology to protect the fuel customers from theft at the gas stations and formulate better conservation strategies.
Index Terms: Fuel Monitoring; Internet of Things (IoT); Edge Analytics; Atmega 16; Cloud; Flow Sensor; Load Sensor; Wi-Fi.
Scope of the Article: IoT