IoT-Enabled Smart Home Management System Featuring Fault Detection and Remote Monitoring
The fast progression of Internet of Things (IoT) technology has facilitated the creation of sophisticated solutions for home automation and management. This study introduces a full smart home management system that incorporates defect detection and power management capabilities. The system utilises an ATmega 328 microcontroller, interfaced with many sensors and actuators to oversee and regulate electrical load situations. A voltage sensor and variable resistor are used to identify abnormalities, facilitating real-time defect detection. The system interacts with the user via an LCD display and facilitates remote monitoring via an IoT-based website. Moreover, vital notifications are sent to pertinent stakeholders using GSM technology, enabled via UART communication, guaranteeing prompt responses to fault circumstances. This IoT-enabled intelligent solution improves safety, energy efficiency, and automation in residential settings. The suggested system design is scalable and adaptive, making it appropriate for diverse home applications. It enables ongoing surveillance and problem identification, reducing the danger of electrical malfunctions and improving residential security. The system utilises wireless GSM communication to notify users of possible hazards, regardless of their location away from home. Moreover, the incorporation of IoT for remote access facilitates effortless control and instantaneous data visualisation, offering users insights into energy use and system efficacy. This article examines the design, implementation, and testing of the smart home management system, emphasising its practical applicability in contemporary smart houses.
Authors
- Madhuri Rao (ORCID: https://orcid.org/0000-0003-1976-0627)
- Devarasetty Charan Teja
- D Gokulakrishnan
Institutions
- SRM Institute of Science and Technology (IN)
Publication Details
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1109/iccct63501.2025.11019690
- Citations
- 1
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.73