Advanced Railway Track Fault Detection Using Internet Of Things (Iot)

Abstract

System advancement in railway sector has also resulted in the increase of railway traffic. Because of this the number of accidents in trains/railways have also increased. Every year, almost 11 million passengers travel by train. It is therefore very much important Railway is the backbone of transport system in India. Rail accidents occur more due to derailments than collision or fire in trains. These derailments are due to cracks in the railway tracks. Therefore, there is an immense need of crack detection and security system. This paper proposes the crack detection system in the rail tracks. This is to avoid rail accidents by using latest communication technologies. In this project GSM communication protocols are used to convey the message of crack detection via SMS. Crack detection is achieved by using the concept of eddy current losses implemented in the terms of Darlington pair circuit. With the detection of cracks, the system also alerts the railway authorities facilitating the security to involve such kind of technology which reduces the train accidents and hence human’s life. This paper is the analysis of various critical and unwanted situation, accidents, occurs in train system and how to prevent those accidents. In our paper we have included various approaches done by various researchers in order to avoid train accidents.