Estado del Arte, Sistema de Gestión de los datos del medidor usando Compressed Sensing para AMI basado en Wavelet.
(State of Art, Meter Data Management System using Compressed Sensing for AMI based on Wavelet.)
Francisco Pabón Plaza (email@example.com)1, Esteban Inga Ortega (firstname.lastname@example.org)1
1Universidad Politécnica Salesiana Ecuador
This paper appears in: Revista IEEE América Latina
Publication Date: Dec. 2015
Volume: 13, Issue: 12
This article presents the possibility of reception and broadcast of information between smart meters and electrical enterprises, in real time through the cellular network, but with the use of the existing infrastructure; therefore, is possible to include to advanced metering infrastructure (AMI), due to that can able to share the spectrum of cellular network with smart meters (SM). The information generated by a Smart Meter transmitted through the cellular network, compiled by the data management system of measurement (MDMS), and which form the big data of AMI. However, this information can be compressed and sent through of wireless network and decoded in the receiver. So that information can travel through the cellular network, and can be reducing the data using compressing method, which not only compresses the signal, also at the same time acts as an option for security of data before of recover all the dispersed information. Through of the application of high-efficiency algorithms is possible ensure that the information reaches completely in the receiver. It is possible to separate from the main signal the noise generated from the send to the reception using the Wavelet transform, which is a mathematical function of analysis of non-permanent signals, with fast action, data compression capabilities, and elimination of noise in the signal, which in our case comes from smart metering on Smart Grid
smart grids, advanced metering infrastructure (AMI), MDMS, cellular networks, smart meter, compressed sensing, wavelet.
Documents that cite this
This function is not implemented yet.
[PDF Full-Text (850)]