IoT Based Energy Meter
Keywords:Azure, Power BI, SQL Database, Twilio, Xively
In the modern world, electricity is one of the major entity for the survival of humanity. This paper shows how to efficiently manage energy distribution and power outage using AI in automatic meter infrastructure. The project is to create AI based Energy Meter using Raspberry Pi. Developed nations are already using computerized meter frameworks (AMR). These are more precise estimating gadget than the ordinary electromechanical meter perusing framework. This paper shows a how to efficiently manage energy distribution and power outage using AI in automatic meter infrastructure. Microcontroller is used to identify the power consumption and identified power consumption will be transferred to Raspberry Pi to call the Wi-Fi Module to transfer the data to Azure. Power Consumption will be stored in Azure SQL Database. We also collecting the data of weather conditions based on locations. Data collected from Raspberry Pi and weather data were consumed into AI and it predicts the pattern in Power Usage. With the help of collected data power outage notification will be sent to technician and electricity customers. The proposed system continuously sends data to the cloud to monitor data from anywhere using Microsoft Power BI.
How to Cite
Copyright (c) 2020 M. Perarasi, D. Aashish, R. V. Abilash, P. Arun Rajan, P. Chiranjeevi, M. Athavan
This work is licensed under a Creative Commons Attribution 4.0 International License.