IRJET- IoT based Multisensory System to Enhance Railway Safety

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 06 Issue: 02 | Feb 2019

p-ISSN: 2395-0072

www.irjet.net

IOT BASED MULTISENSORY SYSTEM TO ENHANCE RAILWAY SAFETY Mr.P. Joshva Premkumar., Mrs. Ruby Priyadharshini 1Asst

Professor, Department of Computer Science, Voorhees College, Vellore, TamilNadu. Professor, Department of Computer Science, Voorhees College, Vellore, TamilNadu. ---------------------------------------------------------------------***---------------------------------------------------------------------2Asst

Abstract - Due to the continuous development of the high speed railway lines and the growth of automatic systems, it is becoming more and more necessary to install safety elements to prevent accidents. For that purpose, this project proposes the design of a multisensory system, which consist of infrared (IR) and ultrasonic (US) sensors, which are placed at opposing sides of the railway tracks, respectively, in order to establish optical and acoustic links between them. When the train arrives at the particular location then the details about that train will be given from the database. Now, check the train details, if match then and only then, the parameters will be measured and the speed of train regarding to that parameters will be sent to the loco pilots display. In the parameters, this project measures the rainfall in mm, temperature, fog, humidity and route vibrations. Also, the time required that present train to pass that location will be measured. On the basis of these all parameters, the allowable speed of the train at that particular location will be sent to the loco pilot. In addition, all these information will be sent to the database. Now, information about train will be sent to another train which will be next arrived at that location. If there is any change in parameters, then according to that parameters allowable speed of train will send to that trains loco pilot. Overall, it can be stated that the aim of this article is to provide a detailed examination of the state-of-the-art of different technologies and services that will revolutionize the railway industry and will allow for confronting today challenges.

partnership models), microeconomics (i.e., price sensitivity, demands for an improved passenger experience, stakeholders interests), the growing importance of smart cities, the incredible pace of telecommunications and technological change, and the need for mobility.Many approaches can be pursued in order to improve information delivered by a sensor system. A signal processing based on the modeling of the sensor characteristic can be used in order to reduce undesired effects influencing the sensor signal. In this case we deal with an inverse reconstruction problem in which the measured quantity is calculated using a priori knowledge, e. g. collected during calibration processes. A further approach is to model the dependence on a steering quantity and to solve the corresponding inverse identification problem. In this case a set of sensor operating points are available at the same value of the measured quantity permitting new possibilities for improving sensory information. This kind of sensor systems can be called varied input sensor (VIS) and closes the gap between single sensors and multi sensor systems. Multi-sensor systems reach many advantages through integration of redundant and diverse sensor signals in order to achieve advantages, such as a better accuracy, a higher reliability or a better dynamic response.

I. INTRODUCTION The future of the railway industry is expected to rely upon smart transportation systems that leverage technologies over a large rail network infrastructure to reduce its lifecycle cost. New services,such as integrated security, asset management, and predictive maintenance, are expected to improve timely decision-making for issues like safety, scheduling, and system capacity. Smart railways represent a combination of interconnected technological solutions and components, as well as modern transportation infrastructure like automatic ticketing systems, digital displays, and smart meters.Likewise, these systems require seamless high data rate wireless connectivity and integrated software solutions to optimize the usage of assets, from tracks to trains, to meet the ever-growing demand for energy-efficient and safer services. The driving factors of the smart railways are expected to enforce the growth of the industry. These factors include the increasing importance of sustainability, government regulations, demographics (i.e., growing traffic of passengers and freight, aging population, and rapid urbanization), macroeconomics (i.e., limited public funding and government deficit, government initiatives and

Š 2019, IRJET

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Impact Factor value: 7.211

2 LITERATURE REVIEW: An automatic train protection is one that helps to anticipate collisions with speed restrictions and applying brakes. To

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ISO 9001:2008 Certified Journal

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