Open AccessIntegration of Iot with Self Powered Nodes for Railway Condition Monitoring
Author(s) -
D. Pushgara Rani*,
V.K.G. Kalaiselvi,
S.S.Rishi Kanthan,
G.S.S.Surya Prasath
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e6479.018520
Subject(s) - track (disk drive) , pace , computer science , internet of things , cloud computing , real time computing , field (mathematics) , energy (signal processing) , embedded system , geology , geodesy , operating system , statistics , mathematics , pure mathematics
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.