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Advanced Landslide Surveillance System for Railway Transport Accident Avoidance Using Internet of Things (IoT)

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In India so many transport facilities is available. The Indian population is on second position in world. So, transportation problem is reduced because of Indian railways. India is the second largest country that uses the railway for transport. But, nowadays so many accidents of railways take place and so many people have died and loss of property takes place. Main problem of railway analysis is that detection of crack in track and also landslide in hills areas. This present work gives the idea about detection of crack in track, landslide in hills area. This detected information like position where the crack is present and landslide information are send to the nearest station. With the help of this information the station manager will understand that some problem is presenting on track and thus avoid the accident of train. However, cable based monitoring systems are costly, require continuous maintenance, and are constrained in their communication flexibility. To overcome these limitations, wireless sensor networks and Internet of things are an applicable alternative technology. State-of the-art wireless landslide monitoring systems collect environmental data from the slope and transmit it to connected computer systems for persistent storage. It monitors and tracks the landslide and alert people from landslide hazards and railway accident.

Keywords: GPS; GSM; Lm 35 Senso; MEMS Sensor; PIR Sensor

Document Type: Research Article

Affiliations: 1: Department of Electronics and Communication Engineering, Government College of Engineering, Srirangam, Thiruchirapalli 620012, India 2: Department of Electronics and Communication Engineering, Annamalai University, Annamalainagar 608002, India 3: Lecturer in Electrical and Electronics Engineering, Government Polytechnic College, Srirangam, Thiruchirapalli 620012, India

Publication date: 01 April 2019

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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