Affiliation:
1. Professional School of Systems Engineering, Faculty of Engineering, Universidad Nacional de Cañete, San Vicente de Cañete 15701, Peru
Abstract
Nowadays, the large amount of data generated by society has led to a dependency on data analysis and visualisation tools. Therefore, the objective of this research was to implement a cloud-based tool to improve the visualisation of data obtained from 4G network simulation on smart meters. Two stages were carried out in order to analyse and process the data using a cloud-based tool to support data visualisation and to understand and facilitate effective decision-making. This resulted in a remarkable 27.39% increase in average data quality, thanks to the authenticity and reliability of the data obtained through the 4G LTE network on smart meters. It also had a significant impact on the percentage of data read and displayed, with an increase of 63.70%. Finally, the percentage of useful data when applying the tool in the cloud also increased by 47.30%. This allows end users to visualise and understand the behaviour of electricity meters with an LTE network through a customised dashboard.
Funder
Vice-President for Research of the Universidad Nacional de Cañete
Subject
Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering