IOT based Smart Meter Using Node-Red

The conventional electrical transmission and distribution network should be upgraded to an interactive network due to rising energy demand and consumption. A smart grid or a service network one of these is smart meters where smart grid solutions have been presented. In order to enable real-time data...

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Bibliographic Details
Published in2023 International Conference on Artificial Intelligence and Smart Communication (AISC) pp. 931 - 934
Main Authors Kumar Reddy, V Mahesh, V, Malavika K., S, Lokasree B, Nanda Kumar, K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.01.2023
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Summary:The conventional electrical transmission and distribution network should be upgraded to an interactive network due to rising energy demand and consumption. A smart grid or a service network one of these is smart meters where smart grid solutions have been presented. In order to enable real-time data collection, processing of meter readings, real-time monitoring, and decision-making, smart metering over the air is a crucial component of a smart grid. In traditional energy monitoring systems, utility usages are written on paper by workers in traditional meter reading systems, and there is a high risk of human mistakes, which raises the cost to users/companies. And no real-time monitoring and data communication between utility and energy meters. This project aims to use an IoT-based smart meter to control the power system's power consumption. This system uses a power monitoring strategy and leads to better data processing, real-time energy monitoring, and data sharing. By doing this, the energy system's power usage can be adjusted, which lowers overall consumption and costs. A novel power theft idea is used, and the user may also turn on and off certain appliances based on power requirements. The smart meter is controlled by an Arduino micro controller. Embedded C Proteus software is used for simulation, while Node-red can be used for visualization, data storage, and remote access.
DOI:10.1109/AISC56616.2023.10084984