การพัฒนาระบบตรวจวัดการใช้พลังงานไฟฟ้าโดยใช้เทคโนโลยีอินเทอร์เน็ตของสรรพสิ่ง

Terapong Songputh; Suwitchaboon Boonchuay; Jirawat Bonwat

doi:10.14456/jcct.2025.18

Authors

Terapong Songputh Assistant Professor, Program in Computer Technology and Digital, Faculty of Liberal Arts and Sciences, Sisaket Rajabhat University, Sisaket 33000, Thailand https://orcid.org/0000-0002-7364-8487
Suwitchaboon Boonchuay Student, Program in Computer Technology and Digital, Faculty of Liberal Arts and Sciences, Sisaket Rajabhat University, Sisaket 33000, Thailand
Jirawat Bonwat Student, Program in Computer Technology and Digital, Faculty of Liberal Arts and Sciences, Sisaket Rajabhat University, Sisaket 33000, Thailand

DOI:

https://doi.org/10.14456/jcct.2025.18

Keywords:

Electricity Consumption Monitoring System, Internet of Things, ESP32, Google Looker Studio

Abstract

This research aimed to develop an electricity consumption monitoring system using Internet of Things (IoT) technology and to evaluate its performance. The developed system integrates three PZEM-004T sensors to measure key electrical parameters, including voltage, current, power, energy accumulation, frequency, and power factor. These sensors are connected to an ESP32 microcontroller, which collects and transmits data wirelessly to Google Sheets using Google Apps Script. The collected data is then visualized in interactive graphs via Google Looker Studio. A purposive sample of 10 experts was selected to evaluate the system using a questionnaire. Data was analyzed using mean and standard deviation. The results indicate that the system effectively captures real-time energy consumption data and presents clear trends through a user-friendly dashboard, supporting systematic energy-saving planning. The overall performance was rated at the highest level ( $\bar{x}$ = 4.58, S.D. = 0.18), reflecting high accuracy, stability, and suitability for implementation in educational and office environments. The findings suggest that the system can be effectively applied in organizational energy management to enhance efficiency and significantly reduce long-term energy costs. Furthermore, it serves as a concrete and effective prototype for IoT-based energy monitoring system development.

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