Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 17, Pages: 1-5
K. V. Daya Sagar*, Akella Pavan Kumar, Goli Sai Ankush, Thota Harika, Madireddy Saranya and Dasaraju Hemanth
Department of Electronics and Computer Engineering, K L University, Vaddeswaram, Guntur District - 522 501, Andhra Pradesh, India; [email protected], [email protected], [email protected], [email protected], [email protected], [email protected]
*Author of Corresponding: K. V. Daya Sagar Department of Electronics and Computer Engineering, K L University, Vaddeswaram, Guntur District - 522 501, Andhra Pradesh, India; [email protected]
Objectives: Cloud computing and Internet of Things (IoT) are two different emerging technologies that become part of our life. Their adaption and usages are expected to be more and more effective. Railways are providing Eco-Friendly transport system for the mankind. Methods: In this paper we proposed and implemented IoT based cloud computing model using RaspberryPi2.0, LM393 sensor signal conditioning units, Piezo electric buzzer components. Our working model was to integrate with cloud environment by using Linux RTOS, python language and ‘smartliving.io’ IoT platform via internet using WIFI. In cloud we are providing data of the railway authorities. If any track was damaged in certain point our system detects and transfer that message to cloud, then the cloud automatically sent SMS for concern railway authorities’ mobiles. Findings: The railway system use sensors to improve rail transport safety and integrate with local (nearby) stations using wired network. In this scenario, we have two major problems in case of misshaping. First, the concerned railway local authorities doesn’t have powers to take their own decisions they were intimate to higher authorities on the situation .It is a long time process to take the decision most of the time it will be late to receive the information. Second, in wired network it is a problem with climatic conditions and vulnerabilities, it has a limitation for integrating number of sensors to current system. Improvements: This system was successful tested and results are evaluated. In our system continuously monitors the status of track and updates it time to time into cloud by IoT platform using RaspberryPi1 .
Keywords: IoT, railway, cloud computing, RaspberryPi2.0, LM393, RTOS, Python, Wi-Fi.
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