Estimation of Error Constant of an Electromechanical Energy Meter with Machine Vision in a Mobile Application
Kevin Palomino, Juan Fernando Flórez Marulanda, Elena Muñoz España · IEEE Latin America Transactions · 2019
This article describes an algorithm in a smartphone designed to support the accuracy test, periodically done by network operators in energy meters. The algorithm is implemented in a mobile application with the IDE Android Studio. The applied methodology implies in the first stage video stabilization, in the second stage a novel method for the rejection of noise by illumination changes, and in the third stage the estimation of the percentual error of an electromechanical meter. The results of the application show a standard deviation of 0.1354 s, lower than the standard deviation of the manual method = 0.1966 s, which indicates a good performance of the mobile application. The experiment performed show 95% of the accuracy tests performed match the result with those performed manually.