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Advanced Power Theft Detection Meter Employing IOT Technology

  • Unique Paper ID: 158920
  • Volume: 9
  • Issue: 10
  • PageNo: 1036-1040
  • Abstract:
  • This document is explained as a way to gauge household energy use. As the owner is constantly informed of the quantity of units consumed, this can aid in lowering household energy consumption. Power firms' services are not up to the standards of their customers. In order to minimize technical faults and simultaneously decrease human dependence, we are attempting to provide a notion. Theft of energy raises customer bills and may have detrimental effects on consumer safety. A suggested technique enables the transmission of customer electricity usage and bill information, which is calculated using an ATmega328 microcontroller, via Internet of Things (IOT) connection between the Electricity Board part and the consumer section. Through the usage of the Internet of Things, power and billing information is continuously transmitted and is supervised by the Electricity Board part. Information is delivered to a web server over Wi-Fi, which also performs IOT operations. The server unit at MSEB receives this data after that. The cost of getting the meter reading is nothing, which lowers labour expenses.The power use is monitored, and power theft is detectable. If any tampering occurs, the system will automatically shut off the energy and send a message to the owner alerting them of the situation. The meter is connected to the internet, and it counts the pulses coming from it and shows them on the LCD screen. It costs nothing to get the meter reading. This technology not only lowers labour costs but also improves the accuracy of meter readings and saves a significant amount of time. As a result, it is possible to decrease the amount of human work needed to obtain meter readings, which formerly required visiting every home.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 10
  • PageNo: 1036-1040

Advanced Power Theft Detection Meter Employing IOT Technology

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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