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International Journal for Research Trends and Innovation
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Authors Name: Dr Pushpa D , Prapul M.C , Sumanth V , Shalini Nayak
Unique Id: IJRTI1806040
Published In: Volume 3 Issue 6, June-2018
Abstract: Abstract - The advancement of Internet Of Things (IOT) technology and its application with a smart wireless sensors has introduced better capturing of the physical entities from long distance places to the monitoring stations. However, after reviewing existing power monitoring system, we find that majority of the work carried out till date is associated with manually or semi-automatically rectifying power failure in the grid . Therefore, the proposed system introduces a model that is capable of identifying electrical grid problem by using electrical sensors at each pole. Each pole is given its own unique ID and if any problem has occurred in an electric pole it is being intimate automatically to the power monitoring stations and power supply to that electrical pole is stopping in order to avoid further damage to the poles. One’s problem is being recognized by the sensors it need to be sent to power monitoring stations which are done through the transmission medium called IOT. The proposed system contributes to developing smart power grid in which all the ID's of electrical poles are being stored in cloud and in case of any problem in any electrical poles its ID is send to cloud which is pre-stored already and if same ID is matched it stop current flows to that electric pole and sends information to power monitoring station that this particular pole is being damaged. The Experimental outcome shows highly improved the balance between the computational time and overall accuracy as the result obtained from this system
Keywords: Key words: Electrical grid, IOT, electrical sensors, cloud , poles.
Cite Article: "A NOVEL METHOD OF POWER LINE MONITORING SYSTM USING INTERNET OF THINGS", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.3, Issue 6, page no.209 - 215, June-2018, Available :
Downloads: 000706
Publication Details: Published Paper ID: IJRTI1806040
Registration ID:180283
Published In: Volume 3 Issue 6, June-2018
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
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