Internet of Things-Based Smart Electricity Monitoring and Control System Using Usage Data

Author:

Hasan Mohammad Kamrul1ORCID,Ahmed Musse Mohamud2,Pandey Bishwajeet3ORCID,Gohel Hardik4,Islam Shayla5ORCID,Khalid Izzul Fitrie2

Affiliation:

1. Network and Communication Lab, Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600 UKM, Bangi, Selangor, Malaysia

2. Department of Electrical and Electronics Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

3. Department of Computer Science and Engineering, Gyancity Research Ltd., India

4. Department of Computer Science, University of Houston-Victoria, 3007 N. Ben Wilson, St. Victoria, TX 77901, USA

5. Institute of Computer Science and Digital Innovation, UCSI University, 56000 Kuala Lumpur, Malaysia

Abstract

In everyday life, electricity is necessary, and proper use is critical. To strengthen home electricity control, the existing systems have been examined over the years. However, the existing PMAS method’s error ratio is higher and does not allow for a remote monitoring system. Therefore, this study proposes a smart monitoring and control system (SMACS) for household appliances. The application’s significance is to monitor household appliances’ electricity usage using hardware and the Internet of Things (IoT) methods. The prototype of the proposed system is designed and developed considering Arduino UNO, a liquid crystal display (LCD), an ACS712 current sensor module, relays, and AC sources. The components are selected from the software library, and the simulation results are found the same as the prototype. WiFi module ESP8266 is not included in the design because it is not provided in the system. The data is recorded in cloud storage using Thing-speak. A mobile application (Virtuino) also accesses the data to visualize it through the graphical and numerical display. This study provides users with an easy system to monitor and control household appliances’ power consumption using mobile applications. Results show that the proposed system provides 0.6% current errors for the hairdryer appliance, whereas the existing Power Monitoring and Switching (PMAS) system provides 7.8% current errors.

Funder

Universiti Kebangsaan Malaysia

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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