Paper Title

Transmission Line Sag and Temperature Monitoring System Using IoT

Authors

Shriya Lavety , Ayushi Selukar , Bhargavi Saharkar , Devyani Ghodmare

Keywords

Transmission Line Monitoring, Internet of Things (IoT), Sag Measurement, Conductor Temperature, Transmitter and receiver

Abstract

The rising demand for electrical power and the integration of renewable energy sources necessitate more efficient and reliable transmission networks. Conventional manual inspection and static line rating methods are often inefficient, as they fail to account for real-time environmental changes that lead to conductor thermal expansion and increased line sag. To overcome these limitations, this paper proposes an IoT-based Real-Time Transmission Line Sag and Temperature Monitoring System. The primary focus of this research is to design and implement a robust IoT framework for real-time monitoring of transmission line parameters. The proposed system employs wireless sensor nodes strategically placed along the transmission lines to collect crucial parameters such as temperature and line sag. These sensors are equipped with IoT capabilities, enabling them to communicate wirelessly

How To Cite

"Transmission Line Sag and Temperature Monitoring System Using IoT", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 4, page no.a333-a337, April-2026, Available :https://rjpn.org/JETNR/papers/JETNR2604041.pdf

Issue

Volume 4 Issue 4, April-2026

Pages : a333-a337

Other Publication Details

Paper Reg. ID: JETNR_233482

Published Paper Id: JETNR2604041

Downloads: 00038

Research Area: Science and Technology

Country: NAGPUR, MAHARASTRA, India

Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2604041

Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2604041

About Publisher

ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: RJPN (IJPublication) Janvi Wave

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