TY - JOUR
T1 - Methodology for Monitoring the Energy Consumption of Computer Services in Health Centers Based on IoT Technology Applied to Decision Making
AU - Auccahuasi, Wilver
AU - Herrera, Lucas
AU - Rojas, Karin
AU - Ovalle, Christian
AU - Rafaile, Esteban Medina
AU - Robles Trejo, Luis W.
AU - Ramirez, Marco Antonio Jamanca
AU - Tongo, Moises
AU - Flores, Edward
AU - Sernaque, Fernando
AU - Mejia, Percy Castro
AU - Salazar, Jose Luis Herrera
N1 - Publisher Copyright:
Copyright © 2022, IGI Global.
PY - 2022
Y1 - 2022
N2 - Health centers, in recent times, are being considered as important resources to take care of people’s health, with greater importance with the arrival of the pandemic produced by COVID-19, where one of the main concerns was to be able to increase their medical equipment. These actions are very helpful, but in some cases, the requirement on the consumption of electrical energy is ignored, which can cause a decrease in voltage levels, which would cause a malfunction of the medical equipment and current surges, which would lead to much of the equipment connected to the electrical network being affected. The proposed methodology is based on being able to monitor and evaluate the consumption of electrical energy, organized under an IoT network configuration, to measure by areas and by critical services that may be affected, and to measure the current and voltage at each critical point. To test the methodology, current and voltage sensors will be used. As an IoT interface, the 16-bit PIC-IoT, a module, was made in LabVIEW to monitor and evaluate the measurements.
AB - Health centers, in recent times, are being considered as important resources to take care of people’s health, with greater importance with the arrival of the pandemic produced by COVID-19, where one of the main concerns was to be able to increase their medical equipment. These actions are very helpful, but in some cases, the requirement on the consumption of electrical energy is ignored, which can cause a decrease in voltage levels, which would cause a malfunction of the medical equipment and current surges, which would lead to much of the equipment connected to the electrical network being affected. The proposed methodology is based on being able to monitor and evaluate the consumption of electrical energy, organized under an IoT network configuration, to measure by areas and by critical services that may be affected, and to measure the current and voltage at each critical point. To test the methodology, current and voltage sensors will be used. As an IoT interface, the 16-bit PIC-IoT, a module, was made in LabVIEW to monitor and evaluate the measurements.
KW - Data Center
KW - Energy
KW - Information Systems
KW - IoT
KW - Protocol
UR - http://www.scopus.com/inward/record.url?scp=85149462062&partnerID=8YFLogxK
U2 - 10.4018/IJSESD.315321
DO - 10.4018/IJSESD.315321
M3 - Article
AN - SCOPUS:85149462062
SN - 1947-8402
VL - 13
JO - International Journal of Social Ecology and Sustainable Development
JF - International Journal of Social Ecology and Sustainable Development
IS - 1
ER -