• Karan Asthana

Indian Railways is the 4th largest Rail network in the world, encompassing a total of 68,442kms. Managing such a huge network is a nightmarish task. Especially when a discrepancy in just, say 10 cm of the track can cause fatal mishaps. The magnitude of this can be realised by the fact that the bandwidth for error is less than 1.461e-8 km. Thereby, managing such a huge amount of rail network requires immense efficiency and precision. Doing these tasks manually is a lot of work, is slow and usually inefficient. Thereby, through this paper, I propose a universal data preparation system to facilitate the inter-compatibility of data received via different products working towards rail tracks security and an oscillation monitoring device. These, in effect with other similar products, would lead to a better, more efficient railway system. The basic idea of the execution of this project is that we will create a universal data system. A database that'll store data about the rail lines, that is, the GPS location of every reference-able point on the rail tracks, its distance from the previous major station. Further, I also propose a product that'll monitor and note the oscillation of the rail wheels using an accelerometer. The reading of these oscillations will be instrumental in deciphering the rail tracks' quality. The lesser the peak values of an accelerometer, the safer the track is to run trains on. In the case of high peak values, GPS locations would be noted down and reported for inspections and repairs.

Rail, Track, Raspberry Pi, Accelerometer, Tachometer, GPS, DBMS, Network

"Smarter Rail: Application of IoT for Route and Track Management Software Products", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.507-511, June 2019, Available :http://www.jetir.org/papers/JETIR1907R82.pdf

"Smarter Rail: Application of IoT for Route and Track Management Software Products", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp507-511, June 2019, Available at : http://www.jetir.org/papers/JETIR1907R82.pdf