RT journal article
T1 Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana
A1 Fernández Morales, Javier
A1 González de la Rosa, Juan José
A1 Sierra Fernández, José María
A1 Espinosa Gavira, Manuel Jesús
A1 Florencias Oliveros, Olivia
A1 Agüera Pérez, Agustín
A1 Palomares Salas, José Carlos
A1 Remigio Carmona, Paula
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 grid frequency
K1 GrafanaTM
K1 higher-order statistics
K1 LabVIEWTM
K1 network-attached storage
K1 power quality
K1 PythonTM
K1 statistical signal processing
K1 voltage monitoring
AB This article presents a unique dataset, from a public building, of voltage data, acquired using a hybrid measurement solution that combines Python (TM) for acquisition and Grafana (TM) for results representation. This study aims to benefit communities, by demonstrating how to achieve more efficient energy management. The study outlines how to obtain a more realistic vision of the quality of the supply, that is oriented to the monitoring of the state of the network; this should allow for better understanding, which should in turn enable the optimization of the operation and maintenance of power systems. Our work focused on frequency and higher order statistical estimators which, combined with exploratory data analysis techniques, improved the characterization of the shape of the stress signal. These techniques and data, together with the acquisition and monitoring system, present a unique combination of low-cost measurement solutions, which have the underlying benefit of contributing to industrial benchmarking. Our study proposes an effective and versatile system, which can do acquisition, statistical analysis, database management and results representation in less than a second. The system offers a wide variety of graphs to present the results of the analysis, so that the user can observe them and identify, with relative ease, any anomalies in the supply which could damage the sensitive equipment of the correspondent installation. It is a system, therefore, that not only provides information about the power quality, but also significantly contributes to the safety and maintenance of the installation. This system can be practically realized, subject to the availability of internet access.
PB MDPI
SN 2306-5729
YR 2022
FD 2022-06
LK http://hdl.handle.net/10498/27480
UL http://hdl.handle.net/10498/27480
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026