Demonstration of an Intelligent and Efficient Smart Monitoring System for Train Track By using Arduino

Author:

Roy Puspendu1,Rajalakshmi S.1,Sangeetha N.2

Affiliation:

1. Department of Communication Engineering, Vellore Institute of Technology, Vellore, India

2. Department of Embedded Technology, Vellore Institute of Technology, Vellore, India

Abstract

In Indian railway, the smart monitoring system for the train also train track is a significant aspect to prevent accidents. Indian railway system is underdeveloped in terms of smart monitoring of the train when compared with the other developed countries. Using the smart monitoring system for train, the deterioration of the railway track could be identified and secondly, accident between two trains could be prevented, thirdly any obstacle present in railway track, could be find and removed, two coaches of the train getting disconnected during the movement of the train due to manufacturing mistakes could also be detected. It helps to detect fire in the particular coach of train. Smart monitoring of the train can be achieved by the help of some semiconductor devices such as laser, laser camera and photodiode is used. Smart monitoring system of the railway could help to monitor the train and its track in an efficient way it could be implemented in Indian railway to avoid accident and extricate people’s life.

Publisher

FOREX Publication

Subject

Electrical and Electronic Engineering,Engineering (miscellaneous)

Reference21 articles.

1. Oo, H. M., San Hlaing, N. N., & Oo, T. T. (2019). Four IR Sensor Based Automatic Control of Railway Gate using Microcontroller.

2. Gayathiri, K., & Gomathi, R. (2020) Monitoring System for Defects in Rail Track, International Journal of Scientific Research and Engineering Development, Volume 2, Issue 2, Mar –Apr 2019.

3. Agrawal, S., Bharane, P., Khan, D., Fundkar, S., More, S., Khande, A., & Vairale, S. (2018). An Arduino based Method for Detecting Cracks and Obstacles in Railway Tracks.

4. Krishna, B. S. R., Seshendra, D. V. S., Raja, G. G., Sudharshan, T., & Srikanth, K., (2017). Railway track fault detection system by using IR sensors and Bluetooth technology. Asian Journal of Applied Science and Technology (AJAST), 1(6), 82-84.

5. Devan, P. A. M., Manisha, G., Rajarajeswari, K. G. T., Priyanga, M., & Sangeetha, K. (2018, May). Fire Safety and Alerting System in Railways. In 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) (pp. 535-539). IEEE.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Applying IoT and Machine Learning for Enhanced Efficiency and Disease Management, Advancing Sustainability in Freshwater Prawn Farming;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3