Optimization of Digital Instrumentation of Electrical Quantities in Internet of Things Devices Using Mean Square Error

I Made Wirawan; Muladi; Hari Putranto; Abu Chamid Masykur; Andrian Bima Nurrohman

doi:10.1109/ICEEIE59078.2023.10334836

Optimization of Digital Instrumentation of Electrical Quantities in Internet of Things Devices Using Mean Square Error

Closed

I Made Wirawan, Muladi, Hari Putranto, Abu Chamid Masykur, Andrian Bima Nurrohman

2023 ICEEIE 2023 - International Conference on Electrical, Electronics and Information Engineering Conference paper Cited by 0

Abstract

The Internet of Things (IoT) is an essential component of the industrial era 4.0. The period of industrialization, which refers to the development of Industry 4.0, is a reincarnation of steam engines, electricity, assembly, and computerization that have changed in a short time. One of the uses of IoT is smart meters that can record and communicate data due to monitoring. Various industries have started large digitalization initiatives. Although IoT has a low cost in digitization, the ultimate success is determined by the successful implementation of new sensors. Therefore, existing requirements and constraints will compete with the performance needs defined by the application or business model that uses it. Optimization of digital measurement of electrical quantities using the PZEM-004T sensor on the ESP 8266 IoT device provides poor voltage measurement accuracy, but current measurement already has a good accuracy of 0.01. So, improving the trainer from the side of the voltage gauge circuit is necessary. © 2023 IEEE.

Affiliations

Universitas Negeri Malang, Department of Electrical Engineering, Malang, Indonesia

View full text (DOI) →

Research at a Glance

Research at a Glance

Topics & SDG Alignment

Collaboration

Author Profile (Selected)

References Overview

Journal & Source

Metadata & Integrity