Analysis of Visible Light Communication using Integrated Avalanche Photodiode
Volume-4 | Issue-2
A Review on Identifying Suitable Machine Learning Approach for Internet of Things Applications
Volume-3 | Issue-3
TOWARDS GHZ METALLIC ACCESS NETWORKS
Volume-1 | Issue-1
REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
Volume-1 | Issue-3
Process Control Ladder Logic Trouble Shooting Techniques Fundamentals
Volume-1 | Issue-4
TRUST BASED ROUTING ALGORITHM IN INTERNET OF THINGS (IoT)
Volume-1 | Issue-1
COMPUTATIONAL OFFLOADING FOR PERFORMANCE IMPROVEMENT AND ENERGY SAVING IN MOBILE DEVICES
Volume-1 | Issue-4
ANALYSIS OF ROUTING PROTOCOLS IN FLYING WIRELESS NETWORKS
Volume-1 | Issue-3
Dual Edge-Fed Left Hand and Right Hand Circularly Polarized Rectangular Micro-Strip Patch Antenna for Wireless Communication Applications
Volume-2 | Issue-3
Modified Gray Wolf Feature Selection and Machine Learning Classification for Wireless Sensor Network Intrusion Detection
Volume-3 | Issue-2
TRUST BASED ROUTING ALGORITHM IN INTERNET OF THINGS (IoT)
Volume-1 | Issue-1
Hybrid Micro-Energy Harvesting Model using WSN for Self-Sustainable Wireless Mobile Charging Application
Volume-3 | Issue-3
Three Phase Coil based Optimized Wireless Charging System for Electric Vehicles
Volume-3 | Issue-3
Cyber-attack and Measuring its Risk
Volume-3 | Issue-4
REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
Volume-1 | Issue-3
Analysis of Solar Power Generation Performance Improvement Techniques
Volume-4 | Issue-3
Pollination Inspired Clustering Model for Wireless Sensor Network Optimization
Volume-3 | Issue-3
Design of Low Power Cam Memory Cell for the Next Generation Network Processors
Volume-3 | Issue-4
A STUDY OF RESEARCH NOTIONS IN WIRELESS BODY SENSOR NETWORK (WBSN)
Volume-1 | Issue-2
Computation of Constant Gain and NF Circles for 60 GHz Ultra-low noise Amplifiers
Volume-3 | Issue-3
Volume - 5 | Issue - 2 | june 2023
Published
19 June, 2023
One of the a major threat for the electricians are climbing the electric poles to identify the faults . To avoid such cause this research aims to develop a promising method to identify the faults without climbing the poles. The portion of the electrical cable that connects the transformer to the customers is the main emphasis of this proposed work. These errors must be found and fixed as soon as possible because they directly affect the clients to do this, discrete units made up of a number of voltage and current sensors are placed at certain locations along the power line. If a failure occurs on the line, it may be determined using sensor values. The transmitter is mounted to the pole wires for continuous monitoring. If any issues are found, they are reported through GSM to the closest Electricity Board office. The research utilises the LoRa device after they have reached the desired area to find the faulty pole line and to safeguard their safety as they climb. The proposed design has developed a protype for the fault monitoring of particular area in Coimbatore and has also developed an IoT module application interface using Blynk app to convey the detected faults to the nearby electricity board. The proposed design reduces the number of casualties caused and the time required in conveying the faults to the EB. In future the suggested method could be further improved to automatically detect the pole line faults of the complete district.
KeywordsMonitoring GSM LoRa Fault Detection
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