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Smart Electric Sensing in Infrastructure
K. Premkumar1, Sagana R2, Sharon E3, Prianga S4, Sushma Suvetha Mary M5

1K. Premkumar*Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
2R. Sagana Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
3E. Sharon Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
4S. Prianga Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
5M. Sushma Suvetha Mary Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 3900-3901 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9023038620/2020©BEIESP | DOI: 10.35940/ijrte.F9023.038620

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Smart homes utilize advanced systems to bring comfort and convenience to our living experiences. Most of the current frameworks are now trying to move towards automation such as smart homes, smart warehouses. This paper focuses on monitoring the wiring system of modern infrastructure as it is very important while moving into advanced systems. In order to reduce the labour involved in replacement of wires from the main board when fault occurs due to overload, short-circuit, arcing, equipment failure. we have provided a model called SESI, Smart Electric Sensing in Infrastructure, which uses the transistors and the Arduino to find the faults in the electric system. Although, many measures have been taken in smart homes to conserve electricity, there is no means to monitor them. Monitoring them would help us to conserve it more efficiently and also reduces the risk of fire accident
Keywords: Real-time Monitoring, Short Circuit, Arcing, Overloading.
Scope of the Article: Real-time information systems.