Dataset

 

• Dataset Citation:
• Adrian Bazurto, Víctor Asanza, Ronald Reyes, Douglas Plaza, Diego Hernan Peluffo-Ordóñez, 
• November 19, 2021, "2 PHASE ENERGY METER 100A (2PEM-100A)", IEEE Dataport, doi: https://dx.doi.org/10.21227/6f3r-t917.s
• Permalink:
• http://ieee-dataport.org/competitions/2-phase-energy-meter-100a-2pem-100a
• DOI Link:
• https://dx.doi.org/10.21227/6f3r-t917
• Short Link:
• http://ieee-dataport.org/8630

ABSTRACT 

This dataset includes the monitoring of energy consumption of a Data Server that is working in the facilities of the Information Technology Center (CTI) of the Escuela Superior Politecnica del Litoral (ESPOL). The data acquisition equipment was 2PEM-100A. 2PEM-100A is open-source hardware based on the ESP32 hardware.

• Link of 2 PHASE ENERGY METER 100A (2PEM-100A)
• https://2pem100a.blogspot.com/

Related scientific publications:

• V. Asanza, R. E. Pico, D. Torres, S. Santillan and J. Cadena, "FPGA Based Meteorological Monitoring Station," 2021 IEEE Sensors Applications Symposium (SAS), 2021, pp. 1-6, doi: 10.1109/SAS51076.2021.9530151.
• Asanza V., Sanchez G., Cajo R., Peláez E. (2021) Behavioral Signal Processing with Machine Learning Based on FPGA. In: Botto-Tobar M., Zamora W., Larrea Plúa J., Bazurto Roldan J., Santamaría Philco A. (eds) Systems and Information Sciences. ICCIS 2020. Advances in Intelligent Systems and Computing, vol 1273. Springer, Cham. https://doi.org/10.1007/978-3-030-59194-6_17
• V. A. Armijos, N. S. Chan, R. Saquicela and L. M. Lopez, "Monitoring of system memory usage embedded in FPGA," 2020 International Conference on Applied Electronics (AE), Pilsen, Czech Republic, 2020, pp. 1-4, doi: 10.23919/AE49394.2020.9232863

More related repositories:

• http://ieee-dataport.org/open-access/tsc-lab
• http://ieee-dataport.org/documents/weather-monitoring-station-farms-and-agriculture
• http://ieee-dataport.org/open-access/electromyography-emg-extraocular-muscles-eom
• http://ieee-dataport.org/documents/ssvep-eeg-data-collection-using-emotiv-epoc

INSTRUCTIONS

The equipment used to perform these measurements was 2PEM-100A. The steps that were performed in the installation of the equipment 2PEM-100A for the recording of these data are available at the following link (Electrical Installation and Connections), as follows:

1. Remove the cover of MCB-100A
2. Remove the Jumper
3. Conectar el Cable USB a un Computador
4. Connecting the measuring coils
5. Staple the coils to the load lines.
6. Energizing the MCB-100A
7. Install ARDUINO IDE on the Computer

The data set includes 12 days of power consumption log at a sampling rate of 4 data per second (4Hz). The columns represent the following variables:

• Voltaje (V)
• Current (A)
• Power (W)
• Frecuency (Hz)
• Energy (KWh)
• Power Factor
• Temperature ESP32 (°C)
• CPU usage (%)
• RAM usage (%)

To use the attached data (dataset.mat), please follow the step-by-step instructions described in the attached PDF files:

• Practice1_1.pdf
• Practice2_1.pdf
• Practice3_1.pdf
• Practice3_2.pdf
• Practice4_1.pdf
• Practice5_1.pdf

Source code used to program the measuring equipment (2PEM-100A):

• https://github.com/Medidor-Consumo-Bifasico/MCB_ESP32_Arduino

Design of the printed circuit board (PCB) of the measuring equipment (2PEM-100A):

• https://github.com/Medidor-Consumo-Bifasico/MCB_PCB

Data processing codes using Matlab: 

• https://github.com/vasanza/Matlab_Code/tree/Electrical-Systems-Simulation

More examples using dataset:

• Practice 0: Instalacion de soporte programar #ESP32
• Practice 1: Introduction to Sensor PZEM004T
• Practice 2: Storage of measurements in Excel file
• Practice 3: Mostrar Datos via Internet
• Practice 4: Mostrar Datos via web desde una red creada
• Practice 5: Medicion Bifasica utilizando Sensores PZEM004T
• Practice 6: Envio Datos a ThingSpeak