INTELIGENTE QUANTAMETRIS

  • Mrs. Ch. Vandana, Vanitha Kamtala, U. Pavithra, V. Harshavardhan, T. Siddharth, Shivaamruth Uppala
Keywords: Meter, Smart meter, Electricity, Cloud, automation, data, power, device

Abstract

In recent years, the need for electricity has risen in homes, industries, complexes, and enterprises, among other places. Many emerging and developed countries are concerned about the demand for energy, which is expected to rise dramatically in the near future. Consumers must keep track of their daily power consumption at their individual locations (houses, industry, firms, etc.). A smart metre allows consumers to get information about their energy usage for items in their homes. The goal of this project is to perform a case study on different homes to monitor and evaluate power usage using Smart Meter data. The primary goal of the project is to convert a conventional metre into a smart metre by attaching a device to it. The gadget gathers data from the metre, analyses it, and sends it to the cloud. The user's data is visually displayed in the cloud so that they can understand and monitor their use. The metre is used to extract data such as current, voltage, and units used. The power is determined by multiplying the current by the voltage (P = VxI). The data is analysed based on the number of units used, and the bill is generated automatically. This eliminates the need for human involvement and is also more efficient since the recovered data is computed over time. The data, which include power, units used, current, and voltage, are sent to the cloud so that the user may monitor his or her use. The information (consumption) may be accessed via a web application. Bill generation is also automated now that everything is going towards automation, such as RPA, IoT, AI-ML, and so on. The bill is produced based on the number of units used. This method is favoured over the conventional method since the numbers are correct and computed in terms of the amount of power used and the amount of time it takes. 

Because power consumption is growing on a daily basis, there should be a greater emphasis on understanding shifting patterns, such as consumption monitoring and analysis over time. This research may also aid in the development of trend-pattern models for estimating and forecasting electricity usage.

Published
2021-07-01
How to Cite
Shivaamruth Uppala, M. C. V. V. K. U. P. V. H. T. S. (2021). INTELIGENTE QUANTAMETRIS. Design Engineering, 1276- 1287. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/2430
Section
Articles