Integration of Iot with Self Powered Nodes for Railway Condition Monitoring
D. Pushgara Rani1, V. K. G. Kalaiselvi2, S. S. Rishi Kanthan3, G. S. S. Surya Prasath4
1D. Pushgara Rani , Assistant Professor, Department of ECE, Sri Sairam Institute of Technology, Chennai, India.
2V.K.G.Kalaiselvi, Assistant Professor, Department of IT, Sri Sairam Engineering College, Chennai, India.
3S.S.Rishi Kanthan, Student, Department of ECE, Sri Sairam Engineering College, Chennai, India.
4G.S.S.Surya Prasath, Student, Department of EIE, Sri Sairam Engineering College, Chennai, India.
Manuscript received on January 05, 2020. | Revised Manuscript received on January 25, 2020. | Manuscript published on January 30, 2020. | PP: 3778-3782 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6479018520/2020©BEIESP | DOI: 10.35940/ijrte.E6479.018520
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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: It is obvious that technological advancements are increasing at a faster pace. Development in the field of energy harvesting and monitoring railway stations is also evolved. In these days monitoring track is quite difficult due to lack of proper equipment and need more manpower. So we propose a system where we can continuously monitor the multiple parameters of the track and update them to monitoring stations. In this system, we also harvest energy from the vibration of the track to power up the nodes. Here we use the cloud as a medium for storing the data, and we can monitor the parameters of railway condition from anywhere in the world.
Keywords: Energy Harvesting, Internet of Things (Iot), Magnetic Levitation Oscillator, Railway Condition Monitoring, Self-Powered Nodes.
Scope of the Article: Refrigeration and Air Conditioning.